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Workshop: Repeated Measures Enrollment – Base
"…This is arguably the best resource presently available for learning how to approach [repeated measures data] using traditional and modern analyses."
Dr. Adrian Midgley, Analyzing Repeated Measures Data student
University of Hull, England
When it comes to analyzing repeated measures data, there are three main approaches:
- Multivariate GLM (aka, repeated measures ANOVA)
- Marginal Model
- Mixed Model
Each has its own advantages and disadvantages. Depending on what repeated measures designs you're dealing with, some approaches work better than others.
But do you know when to use which approach?
If you're like me, you were trained on the GLM (Repeated Measures ANOVA) approach, but its limitations make it far from ideal:
- If even one observation is missing, you lose the whole subject's data.
- You can't run post-hoc tests on within-subjects factors (which, unfortunately, is often the whole point!).
- You must have the same number of repeated observations for all subjects… or you have to toss out data.
- You have to assume that all within-subject observations have equal variance/correlations (which isn't always the case).
- It can't account for higher-level groupings of subjects into clusters (like kids in the same classroom or patients in the same hospital).
Mixed models solve these problems.
BUT… mixed models are often really hard to learn — especially on your own.
Even if you find a book that covers mixed models, the math is tricky, as they're written for PhD students in statistics — not researchers.
I struggled with these new, more flexible models for quite a few years. What I needed was a guide that covered repeated measures from the beginning, and fit Linear Mixed Models into what I already understood about mixed ANOVAs.
There simply wasn't one… so I decided to create a workshop that maps onto common designs that researchers can understand.
Introducing… One of The Analysis Factor's Most Popular Workshops…
Analyzing Repeated Measures Data:
ANOVA and Mixed Model Approaches
An 8-Module Online, Live Interactive Workshop
"It's clear that you have really thought through the approach to teaching these materials in an effective way.This is by far the best and most useful statistics course I have taken."
Ann Lezberg, Analyzing Repeated Measures Data student
Resource Monitoring Technician, City of Boulder, Open Space and Mountain Parks
I'm Karen Grace Martin, your statistics mentor and workshop instructor for Analyzing Repeated Measures Data.
My goal is that by the end of the workshop, students will be able to independently run repeated measures, marginal, and mixed models for repeated measures data… and have a solid basis of understanding which approach to choose.
In this eight-module live, online workshop, you'll learn:
- The difference between fixed, repeated, and random effects
- How to set up your data, run the model, make model-building decisions, and check assumptions and model fit
- The purpose of a covariance structure in different types of models, and which one to choose
- How to interpret and decide when to use random intercepts and random slopes in your model
And in the future, when you do need to look up something in a book on Mixed Modeling… you'll understand it!
"…I've been stumbling through repeated measures analyses with incomplete understanding of the models, and I feel like I've had my blinders removed!"
Hilary Neckles, Analyzing Repeated Measures Data student
Research Ecologist, USGS Patuxent Wildlife Research Center
Who Is This Workshop For?
This workshop is for you if:
- You've heard you should use Mixed Models for your repeated measures data but don't know how
- You've tried (unsuccessfully) to learn Mixed Models on your own
- You've always run regressions and now are dealing with longitudinal or repeated measures data for the first time
- You are facing a design where regressions won't work, such as longitudinal or repeated measures data, lots of missing data, or unequal sample sizes
It's not for you if:
- You want to learn Bayesian approaches to Mixed Modeling
- You're new to statistics or regression and ANOVA (You'll need a solid background in statistics. See below for more details on the course prerequisites)
- You've only run regressions with continuous variables and have never run a repeated measures ANOVA
- You're in search of information on advanced topics like GLMM
- You want a general linear mixed models course and don't run repeated measures data (this workshop will focus on repeated measures data)
"I was very comfortable with the whole course. [The] descriptions for whom the workshop would be suited — or not — was very helpful…"
Klaus M. Frei, Analyzing Repeated Measures Data student
How Does It Work?
This course is an 8-module live, interactive online workshop from October 11, 2019 – December 19, 2019.
All sessions are conducted online via live webinar. You can log in via phone or internet. You'll see the instructor's screen to view the presentation… all from your own home or office.
During each webinar session, the instructor will present concepts and explain the meaning of the techniques in that module, then demonstrate how to implement those techniques in various software using different examples.
Each session, there will also be plenty of time to ask your own questions.
Have more questions? No problem!
In addition to the eight module sessions, you'll also meet with your instructor for eight additional Q&A sessions where you can get additional assistance on workshop concepts, deepen your knowledge, and clarify any questions.
All 8 Workshop Modules and 8 Q&A Sessions Are Recorded for Your Convenience.
As a participant in the Analyzing Repeated Measures Data workshop, you'll have access to a participant-only website, your workshop "hub." That's where you'll access all workshop resources and material, including:
SPSS, SAS, Stata, and csv data files.
These are real, true, not-textbook-perfect data files from real research projects I've worked on with clients, who have graciously allowed me to share them with you. You get full access to use the data to try everything I demonstrate in the workshop and try things on your own.
SPSS, SAS, Stata, and R syntax code
to run and explore all of the examples. You won't learn it unless you try it. So I'm giving you my syntax so you can see exactly how I got all the output I'm showing you.
PDF handouts of presentation slides.
Made available ahead of each session so you can download, print out, and take notes as you follow along.
Video screen capture recordings of each workshop session.
Made available within 48 hours after each session so you can review the material at your convenience.
(yes, HOMEWORK!) You really need to practice this stuff and get your hands dirty, so we're giving you the data to try it on your own with new models. But don't worry–you won't be on your own stuck on some coding error that won't work. I'm also giving you the syntax we used to do the exercises and the answers.
A place to submit written questions between sessions.
Got a question as you're reviewing the video recording or your notes? Just submit a question in the membership site. I'll answer it there if I can, or if it's something I need to show you, I'll answer it in the next Q&A session.
Video recordings of all Q&A sessions
Review at your convenience.
A list of helpful resources and suggestions for further reading.
There's no required textbook, but there are some good books and articles on this topic, and you'll learn the techniques better with some background reading. The list is available when you first register, so you have time to request them through inter-library loan if necessary.
Bonus videos.
I've included a number of videos from some webinars on relevant topics to help jog your memory or clear up misunderstandings. Included are:
– Getting Started with SPSS Syntax
– Dummy and Effect Coding
– Running Repeated Measures as a Mixed Model
– What Happened to R-squared?
– Random Intercept and Random Slope Models
You'll have access to this site and all the related materials and resources for ONE FULL YEAR. That means you can re-watch sessions, ask additional questions, and attend the course again during that 12-month period.
Often, our students report they understand the material at a deeper level on a second or third pass. This stuff is not easy. You'll learn more every time, so take advantage of it!
"The instructor was delightfully pleasant, knowledgeable, slow-paced, non-judgmental, and responsive… Thank you for letting those of us overwhelmed by other time constraints time to absorb it all."
Analyzing Repeated Measures Data student
What's Covered in the Workshop?
Module 1: An Overview of Repeated Measures Data
One of the things I've found troublesome over the years is that when people say repeated measures, they often mean very different things. There are actually a lot of different designs that can be considered repeated measures. There are a few I've seen people attempt to analyze as repeated measures ANOVAs over the past few years:
- Experiments with one or two within-subjects factors, with a possible between subjects design
- Pre-post designs
- Longitudinal studies with pre-, post-, and follow-up measures taken months apart, with some covariates measured only at baseline and some measured at each measurement
- Studies that measured patients five times over two years on an outcome variable only, where only 10% of participants had all five measurements
- Experimental studies where repeated trials were pure replicates
Consequently, we're going to start by taking away the names which may or may not communicate what we need and examine the structure of the variables and the research questions to think about the real issues:
- What is the role of time?
- Should time be considered continuous or categorical?
- What is the role of baseline measurements?
- Are correlations among a subject's measurements something of interest or a nuisance?
- Is time confounded with any predictors? Is Subject?
We'll then go through an overview of the three main approaches so you have the big picture before we delve deeply into each one.
Module 2: The Repeated Measures ANOVA (GLM) Model
This is the "usual" method for running repeated measures data, and probably the one with which you're most familiar. It does work reasonably well in some situations, and although it doesn't look like it, there are many similarities between this model and the mixed model.
We'll discuss the similarities, the differences, and the assumptions this model has that we are able to relax in mixed models.
We'll go through examples of running a model with this method and interpreting the output so that you have a new understanding of the model you've been running for years and its assumptions.
We will then be able to compare two new approaches to this one, so you see where they differ and where they're really the same.
Module 3: Transitioning to the Mixed Approach
There are many advantages to running repeated measures data using mixed models. But they do require you set up your data differently (in the long, or observation-level format, as opposed to the wide, or person-level format you're used to).
In this module I'll give a tutorial on how to restructure the data set from the Wide Format required for repeated measures ANOVA (with one row per subject) to the Long Format, (with one row per observation), as required by mixed model procedures.
I'll also show you how to graph your data, per person, so you can see what is going on. I have always found this absolutely indispensable in choosing an approach. But you can't just use a regular means plot or scatter plot, because of the clustering of the data, so once again, I'll show you just how to do it.
Both the marginal and the mixed model use Maximum Likelihood Estimation, so we'll do a quick review, then talk at length about measuring model fit.
We'll still use F tests, but our old friend R-squared disappears as a meaningful measure. In its place comes Deviance, and its Information Criteria buddies.
They're not so bad once you get used to them, and you'll see how necessary they become when you are choosing a model later on. Not just which predictors to include, but whether to include various random effects.
Module 4: The Marginal Model and the Repeated Statement
The Marginal Model is not actually a mixed model–there are no random effects, although it is usually run using mixed procedures. (The exception is R, which requires a different command.)
In this session we will explore the Marginal Model (also known as population averaged models) both conceptually and for Repeated Measures Data.
In many repeated measures situations, the marginal model fits the data better than a Mixed Model. It has many of the same advantages as Mixed Models, and is in many ways more intuitive.
It's a nice bridge because conceptually, it's very similar to the Repeated Measures ANOVA you're used to. It too takes into account the correlation among each subject's observations. But it's more flexible than the Repeated Measures ANOVA because it allows those correlations to be unique (goodbye, Sphericity assumption! Hello, post-hoc tests on within subject factors!).
The result is more choices, and often better model fit.
Module 5: The Mixed Model: Random Intercept Models
If we stopped before this module, you would already have a whole new set of tools that greatly expand the types of analyses you can do, and do well.
But being able to run mixed models will exponentially expand the types of research questions you can answer.
For repeated measures data, there are two types of mixed models you'll use–random intercept models and individual growth curve models.
Random intercept models take care of the correlation among a subject's responses as do marginal models, but they do it in a different way. Instead of measuring correlations, they actually measure how much responses vary across individuals. If one individual generally has high responses, and another always low, the random intercept measures and accounts for that. It literally redefines the residuals.
We can then measure how much of the variation in the outcome is due to the covariates, the treatment conditions, or the subjects themselves. So here you will learn how to use statistics like variance components and Intraclass Correlation to understand the variation in responses over time, conditions, or individuals.
This module introduces the simplest linear mixed model in depth before going on to random slope models.
Module 6: The Mixed Model: Individual Growth Curve (Random Slope) Model
Individual growth curve models go a step further–they allow each subject to have a different growth trajectory over time–or over any other covariate that changes over time.
In many, many designs, the random intercept model is enough to take care of similarities in individuals' responses.
But when the real research questions are how factors affect growth (or decline) over time, growth models answer the question directly.
We'll talk about what individual growth curve models are, how to run them, when to use them, and when not to.
We'll also explore issues like improving interpretation through centering, when missing data causes no problems at all, and and how the models differ when time is measured as continuous or categorical.
We'll also introduce covariance structures for random effects.
Module 7: Model Refinements, Extensions, and Assumptions
Now that you've got a good understanding of the model, what it measures, and what the various statistics mean, we're going to talk about ways to improve it.
We'll start by checking whether or not the newly-defined residuals meet assumptions of normality and independence. If they don't, we can account for it by refining the residual covariance structure with a repeated statement. Nice, eh?
Then we'll go over a few common extensions– three-level models for when individuals are clustered into classrooms or companies or some other grouping and Random Curvature models, which allow growth to vary from a linear trajectory.
Module 8: Building and Choosing a Model
Okay, now that you've learned how to create and refine linear mixed models, how do you choose?
There are many, many choices along the way–the type of model, which random effects to include, which covariance structures–before you even get to choosing which predictors to put into the model.
There are two main approaches to take to make all these decisions–you either start with the most complex model and simplify, or start with the simplest and add complexity.
Here we go through two very different examples start to finish to bring together everything you've learned. You will learn the exact steps to take to build the model and choose the best one.
The Details:
There are 8 Workshop Webinar Sessions. In order to keep momentum going while giving you enough time to keep up, we've devised this schedule based on feedback from previous participants:
We'll meet for three weeks in a row – beginning October 11, 2019 – then we'll take a week off. Then three more weeks and another week off. Finally, there will be two more sessions to finish up. We will meet on Fridays at 1 pm, U.S. Eastern. The workshop sessions are approximately 2 hours long, including time for questions.
We will also meet for eight Q&A sessions throughout this time. We'll meet on Thursdays at 1 pm, U.S. Eastern, on the following dates:
Remember, everything is recorded and available for you to watch at your convenience, should you be unable to attend a live session.
Also, you have access to all the class materials for a full 12 months from your enrollment date.
Sorry, enrollment for this workshop has closed.
Please contact us if you have any questions
or get on the waiting list to be notified when it's offered again.
Every Live Workshop from The Analysis Factor includes:
- 1 year of access to the workshop website
- All the data, programming code, exercises and handouts you'll need
- Live webinars and question & answer sessions
- Video recordings of all live content for later or repeated review
- The opportunity to ask questions live and to submit questions to be answered between sessions
"Before taking the workshop, I spent a ton of time trying to learn mixed models in SPSS on my own, but the workshop covered this material in much less time and in a more easy to understand way than the books/online resources I read. Plus Karen is super helpful and nice — I always felt like I could ask questions without worrying about feeling 'stupid.'"
Lisa, Analyzing Repeated Measures Data student
About Your Instructor
I'm Karen Grace-Martin, your statistics mentor.
As president and founder of The Analysis Factor, I've been supporting researchers like you through their statistical planning, analysis, and interpretation since 1997.
With masters degrees in both applied statistics and social psychology, I've been honored over the past 15 years to work with everyone from undergrad honors students to Cornell professors, and from non-profit evaluators to corporate data analysts.
After seeing so many smart people get nervous, uncertain, and downright phobic about analyzing their data, I made it my mission to remove the barrier between research and statistical analysis.
I want to banish the "stats speak" that makes eyes glaze over, and instead explain statistical terminology in plain English.
My goal is to help you improve your statistical literacy so you can bring your important research results into the light with confidence.
Our Software Teaching Assistants
Kim Love is the owner of and lead consultant at K. R. Love Quantitative Consulting and Collaboration.
As a software specialist for this workshop, Kim will create the R demonstrations and code to use in the examples and exercises. She will attend the live Q&A sessions and monitor the workshop website to answer your R questions.
She has worked as a statistical consultant and collaborator in multiple professional roles, most recently as the associate director of the University of Georgia Statistical Consulting Center. Kim has a B.A. in mathematics from the University of Virginia, and an M.S. and Ph.D. in statistics from Virginia Tech.
Jeff Meyer is a statistical consultant, instructor, and writer for The Analysis Factor, specializing in Stata.
As a software specialist for this workshop, Jeff will write the Stata code to use in the examples and exercises and making Stata demonstrations.
He'll also attend the live Q&A sessions and monitor the workshop website to answer any Stata questions you have.
He has an MBA from the Thunderbird School of Global Management at Arizona State University and an MPA with a focus on policy from the Wagner School of Public Service at New York University.
"Karen is a wonderful teacher and she explains things so clearly and thoroughly that anyone with a background in statistics can keep up."
Pam Bishop, Analyzing Repeated Measures Data student
Director, The National Institute for STEM Evaluation and Research
So what kind of background in statistics do you need?
This course starts out at a moderate level, but we do move into more advanced material. No, you don't need a PhD in statistics… we know you're a researcher, not a statistician.
We're assuming:
- You haven't taken linear algebra
- You don't want to see things derived
- You're here because you want to see these concepts explained in English, not formulas
That being said, you should be fairly statistics savvy. In other words, this shouldn't be your first exposure to running linear models. You should be familiar with:
- Centering
- Least-squares estimation
- Dummy variables
- Interactions
- Residuals
- Variance
- Regression coefficients
You'll get the most from this workshop if you have:
- MINIMUM two statistics classes, one of which MUST include linear models — multiple regression or Analysis of Variance (ANOVA)
- Real experience doing some sort of linear modeling (familiarity with the GLM procedure will be very beneficial)
- SPSS users: It will help if you're familiar with SPSS Syntax. (Some parts using menus will be demonstrated in class, but at this level of modeling, you must have control of the details at the level that syntax allows.)
If you have questions about whether you're ready for this class, just email us. We'll give you our honest opinion. We want you to succeed!
What Others Have to Say about Analyzing Repeated Measures Data:
"I found the content and overall approach truly exceptional…"
"I found the content and overall approach truly exceptional. The individual modules covered reasonable chunks of information and were very well integrated, so that learning was sequential and comprehensive. Karen's lectures were well-organized and clear, and I really appreciated having both the current lecture videos and the transcripts from a previous iteration available to review.
Karen was very engaging as a teacher, eminently respectful of students' varying degrees of understanding, and always responsive to questions in a very helpful way. I found her willingness to assist with students' own repeated measures studies and data sets particularly helpful.
I found the exercises and answer sets useful to test my understanding, and having the code available for both the class examples and the exercises provided a big step up.
I've been stumbling through repeated measures analyses with incomplete understanding of the models, and I feel like I've had my blinders removed!"
— Hilary Neckles, Analyzing Repeated Measures Data student
"…I would not have made it through the statistical analysis for this project without your Repeated Measures class."
"I wanted to share this recent publication with you. I would not have made it through the statistical analysis for this project without your Repeated Measures class. I am continually pulling out my class notes for other analyses. Thanks again!"
–Lisa Giencke, Plant Ecology Lead Technician, Joseph W. Jones Ecological Research Center
"…Amazing value…"
"This course is an amazing value for all the extra resources provided and the expert instruction. Karen's pace of instruction and teaching style are really a strength."
–Kelsey Simons
"…Absolutely worth my time and money."
"For the cost it delivered a LOT of material, but that material was thoughtfully prepared and organized – plus to have access to so many resources, both those listed in materials and Karen's expertise in the Q&A, absolutely worth my time and money."
–Carol Skay
"…One of the best things that I have come across in my professional career."
"Karen's workshops and consultations provide a highly needed service for researchers who are not statisticians but have a basic understanding of statistics. She is an excellent teacher. Her explanations are clear with just the right amount of technical detail. She also is extremely patient, friendly, and has a great sense of humor. I have been looking for someone who provides this kind of service/teaching for years. Finding Karen's website and seeing what she offers was one of the best things that I have come across in my professional career."
–Julie Staples, Ph.D. Awareness Technologies, Inc.; Georgetown University School of Medicine
"…I've gone from just trying to wrap my head around what mixed models are for and what they do, to feeling confident…"
"Karen explained all topics clearly, with the right balance of concepts and applications. i.e., enough conceptual discussion so that I understand the underlying concepts enough to know why I am doing what I am doing, but then plenty of time devoted to 'how to' so that I can actually go and run the analyses myself.
Resources provided (transcript of each webinar, syntax for all the examples, answers to the homework) are all excellent resources that I know I'll keep going back to.
Also now I can read all the other resources I have on mixed/multilevel models and actually understand them! I've gone from just trying to wrap my head around what mixed models are for and what they do, to feeling confident that I can start to tackle a few different datasets that are waiting for me. Thank you!"
–Catherine Ortner
"…Karen is easily the best teacher I have ever had."
"Karen's patience and thoroughness make her classes sensational. She is an incredibly talented teacher who never glosses over details and will not rest until everyone understands the material. I have taken dozens of math and stats classes, some from very famous people, and Karen is easily the best teacher I have ever had. She is a tremendous resource for applied statisticians and researchers. Also, the class was clearly very well thought out. The structure was clear and sensible, and the examples were varied and spot-on for the topic."
–Dan Neal, Biostatistics Consultant, Department of Neurosurgery, University of Florida
"Karen explains things so clearly and thoroughly…"
"Karen is a wonderful teacher and she explains things so clearly and thoroughly that anyone with a background in statistics can keep up."
–Pam Bishop
"…Thanks for your style of teaching and the content you cover."
"I am just taking a moment to express my thanks for your style of teaching and the content you cover. I analyzed a dataset with which I have been struggling for some time…The point at which the webinar was most helpful was the covariance structure explanations. Who knew that those assumptions were so critical?"
–Laurel M. Fisher, House Research Institute
"…Absolutely and exactly what I had been searching for…"
"The workshop is absolutely and exactly what I had been searching for a long time. I am glad I finally found your website."
–Abdul Aziz Farooq, Graduate Student, University of Newcastle
"…You have really thought through the approach to teaching these materials in an effective way."
"The recorded files after the sessions extremely helpful in reviewing the materials I was challenged by; I greatly appreciated the time you took in the early sessions to step us through the models and the elements of the equations and how they fit with the matrices.
Also thought the use of a wide variety of datasets that we revisited worked really well. The session on graphing and interpreting graphs was really useful, particularly when you provided your thoughts on what was useful to notice about the data.
Explanations of marginal model, evaluating models, and how you built up to the full mixed model all clarified much fogginess on my understanding in the past. It's clear that you have really thought through the approach to teaching these materials in an effective way. This is by far the best and most useful statistics course I have taken."
–Ann Lezberg
"This workshop was a godsend!"
"I had a very hard time finding high-quality, comprehensible resources on repeated measures and mixed designs. It was difficult to find any of the syntax I needed to use in SPSS. Unfortunately, before this webinar, the syntax that I did happen to find, I didn't have the tools to understand. This workshop was a godsend! I really benefited from the video recordings and the transcripts, which allowed me to review the material at my own pace."
–Colleen Krause
"…Karen is a very talented and knowledgeable data analyst, and could communicate complex ideas in an accessible way."
"MANY features of the workshop were helpful. I really appreciated the range of materials that were available to us, so that we could review as needed (e.g., session notes, videos, recommended readings, syntax). Sample data sets, homework assignments, and answers by module were very helpful.
Finally, and most importantly, Karen is a very talented and knowledgeable data analyst, and could communicate complex ideas in an accessible way. She was also practical in her recommendations for analysis, and fielded questions in a concrete, comprehensible, and useful fashion."
–Joshua Madsen, Ph.D.
Your Satisfaction Is Guaranteed
As with all our programs, your satisfaction is guaranteed. If you participate fully in this workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund, no questions asked. Just notify us within 90 days of purchasing the program.
Q: Will I be able to keep up?
A: Concepts unique to mixed modeling that textbooks typically just gloss over? We'll cover — and explain them, including:
- Information criteria
- Maximum likelihood
- Deviance
- Covariance matrices
- Variance parameters
- Sphericity
- Growth models
- Random slopes
We'll also be covering matrices (they're critical) but we won't be manipulating them, so don't worry about Kroniker products for this workshop.
We'll also be looking at model equations (also critical), which means you're going to see some Greek letters so we can stay consistent with books and articles on the topic. But don't stress out. We'll walk you through them step-by-step to make sure you understand what everything means and why it's important.
You WILL need to spend some time each week, both going over the modules, and also "getting your hands dirty" with some data. Expect to spend 6-10 hours per week reviewing the concepts and doing the exercises, and re-running class examples on your own.
You know how this goes:
The more time you put in, the deeper your understanding.
Q: What's your refund policy?
A: Your registration fee is fully refundable up to 72 hours before your first class session. No refunds will be granted after the program begins.
Q: Do you offer student discounts?
A: Yes, we do! Current students with a valid ID can register for 40% off the standard rate. Click here to receive our student discount on this and future workshops: http://theanalysisinstitute.com/student-discount/
Q: Will you offer SAS support in this workshop?
A: Yes, we'll have support for SPSS, R, Stata and SAS.
Q: I don't use any of those packages. What about the rest of us?
A: You may be fine, even if you use another stat package. Yes, we're supplying code for SPSS, R, Stata and SAS, but the focus of the workshop is on the steps to take and what it all means. Those, as well as the logic, are the same across all software packages.
You may have to work a little harder to implement the exercises and to translate it into the software you use.
I have some experience using HLM for mixed models, so I can answer basic questions, but I don't know any defaults or details and wouldn't be able to guide you much. So if you're using another program and are comfortable working in that program and figuring out a new procedure, the workshop will fill in the concepts, vocabulary, and steps.
If you're still learning that other program, this might be too hard, unless you have a lot of time and willingness to figure things out.
Q: I use SPSS, and I am "familiar" with SPSS syntax, but I tend to use the menus. However, I do save the syntax and read it, and may alter it as appropriate. Based on that do you think I'll be okay?
A: If you want to learn mixed models in SPSS, you need to be familiar with SPSS syntax. In the repeated measures GLM, the data restructuring and the graphing, I show both menus and syntax. But once we get to Mixed, the menus are so unintuitive and the options so numerous, I find the syntax easier. So at that point, you'll need to do syntax. If you have never used syntax, this is going to be a lot of work. But as long as you can basically tell what's going on in syntax, you should be fine.
Q: I have just met with the other co-authors of the article I am about to write, and the "expert" among us on statistics only knows how to use SEM with longitudinal data. Are some of the principles the same as in mixed models? I was wondering if there is any point in taking the course, if it will help me with learning SEM?
A: This workshop won't help at all with SEM. You can do the growth curve models we're talking about in the workshop with SEM, but I've never done it personally.
There is definitely an overlap in concepts and principles. It would be a good idea from a long-term learning perspective, but it won't help you with this project.
Q: Things are very busy at work right now, and I'm afraid I won't have time to keep up. How much time per week does this really take?
A: We've worked really hard to make sure people can do the workshop in the midst of their normal worklife.
Each workshop instruction session is about two hours, whether you attend live or listen to the recording. We know it's hard to attend 8 weeks in a row at the same time, so we split up the eight core modules over a nine-week session (four weeks on, one week off, four weeks on).
After you've had a week to digest the material from the live session, we have a one-hour Q&A session. You don't have to attend, we just make those available so you can have any questions answered or listen in on others' questions.
We provide exercises, answers and data sets, so you can practice what you've learned each week and get help in the Q&As. These will take you a few hours each week, maybe up to 5 or so. The exercises aren't required—you're not graded. But we've gotten feedback that they're very helpful, as it allows you to practice and figure out what you did and didn't understand.
In other words, in each 4 week period, there are 6 hours of instruction, three hours of Q&A, and about 10-15 hours of practice time. So if you have a crazy hectic week during the workshop, you have catch up time. But If you have a crazy hectic month, you may be better off waiting to take the class as you won't really have a chance to catch up.
One reminder: You have access to the workshop website, all materials, and a place to ask questions for a year. So if you get behind, you aren't missing out. You can catch up on your schedule.
Q: I teach/work/sleep during this time/live outside the U.S and cannot attend live. Is there any way to register and access the webinar sessions later?
A: Yes! We have participants from many time zones with many different work schedules. In order to support our diverse student base, all workshop sessions – including the modules and Q&A's — are recorded and made available to students within 48 hours. They're screenshot video files, so you'll hear me talking and see my screen, just as live participants do. You can even submit questions for written answers any time between sessions. Many students take the entire workshop in this manner, never attending a session live.
Q: I'm outside the U.S. Can I still participate?
A: Yes. We have participants in our workshops from many different countries. You will want a fast internet connection and either a computer speaker or a telephone if you plan to attend live.
Q: Can I pay with PayPal?
A: Yes. When you check out, you can pay directly using our system or paying with Paypal. However, the three-payment option is not available using PayPal.
Q: Can I join the Q&A webinars from my iPad or iPhone?
A: Yes. Thanks to a new upgrade to GoToWebinar, attendees now have the option of registering and joining the workshop Q&A sessions from your Apple or Android device by downloading a free GoToMeeting app.
Q: This really isn't a good time for me. Will you be offering this workshop again soon?
A: Yes, we'll offer it again, but it's not scheduled yet. We tend to run this workshop twice per year. Remember, though, that you can sign up now and get access to all the course materials ( live trainings, support, exercises, the option to ask questions, and live Q&A sessions, as well as any additional bonuses) I would suggest registering now. You'll get all the materials to review at your convenience, and you can attend again for free any time in the next 12 months.
Registering now will give you complete access to the website and all materials for one year. Plus, ongoing support is included through access to the workshop website for a full year.
Q: What software do you support for this class?
A: SPSS, SAS, Stata, and R. Instruction sections will focus on concepts, steps to run a model, and interpretation of output regardless of software. For each software package, we will provide:
- Pre-recorded software how-to video demonstrations of all the examples from that module's instruction webinar
- Syntax to run those examples
- Syntax to run the exercises
- Answers to the exercises based on that software
Furthermore, I will show compare and contrast all four software packages throughout the workshop.
The workshop is not all about software, though. But I have found that for mixed models, even more than other methods, knowing the software inside and out is crucial. The techniques are so flexible, and it's really easy to mis-specify a model without realizing it, and get different results. You are welcome to try it on another software package. Many past participants have.
Stata and R users: Note that I don't use either, although I am familiar with both. All the R examples and exercises were provided by statistical consultant Kim Love and Stata examples and exercises by Jeff Meyer. Jeff and Kim will join us in the Q&A sessions and on the workshop website to answer your Stata and R questions.
Have additional questions? We're here to help! Just email us at firstname.lastname@example.com.


text: New trailer for "The King's Speech", directed by Tom Hooper (John Adams,The Damned United) and shot by Danny Cohen (John Adams,Pirate Radio). Really interesting use of framing (shortsided and headroom) and lenses. Among other things, it's refreshing to see the filmmakers choose to shoot a CU with a 24mm that's a foot below the eyeline instead of the conventional 180mm CU that feels like you're in another county.

subset: commoncrawl


text: i've been considering buying a dildo--i'm a first timer--and one of the big differences i see is between the more flexible ones, like silicone, and the ones that are really inflexible--glass, for example. i think i've heard that more flexible ones can be harder to insert, but they seem like they'd be more comfortable. any advice on which would be a good place to start? thanks a ton!


text:
Almonds popularly known as" Badam" in Hindi are familiar to many of us as a healthy food. But what exactly are the Health Benefits of Almonds? Let's understand. Continue reading 10 Health Benefits of Almonds
Tag: healthy skin
Top 9 Benefits of Fenugreek Seeds
An Indian kitchen is incomplete without Fenugreek Seeds. It is used in almost every Indian preparation let it be dal, paratha, curry and many vegetarian dishes. Fenugreek seeds are strongly aromatic and flavourful. The seeds are bitter in taste, but lose their bitterness if lightly roasted. They are rich in Vitamins such as Thiamin, Folic acid, Riboflavin, Niacin, Vitamins A, B6, and C, and are a rich storehouse of many minerals such as Copper, Potassium, Calcium, Iron, Selenium, Zinc, Manganese, and Magnesium. Fenugreek leaves are a rich source of Vitamin K as well.
Benefits of Fenugreek Seeds:
8 Health Benefits of Clove
Cloves are small, nail-shaped dried flower buds that come from the evergreen clove tree. They are often used in cooking as well as baking. Apart from its culinary uses, cloves can also play a key role in keeping your body healthy and free from many diseases.
The health benefits of cloves as well as clove oil can be attributed to their antioxidant, antifungal, antibacterial, aphrodisiac, antiviral, antiseptic, anti-inflammatory and analgesic properties.
Cloves have at least 36 different ingredients, the most important being an essential oil called Eugenol. Plus, cloves are rich in Potassium, Sodium, Phosphorus,Iron, Manganese, Dietary Fiber, Iodine, Vitamins K and C, Omega-3 Fatty Acids, Calcium and Magnesium.
Health benefits of Clove: Continue reading 8 Health Benefits of Clove
Water- A Forgotten Vital Nutrient
Water is vital for life and is an essential vital nutrient. The human body can last weeks without food, but only days without water.
Let's understand the importance of water in our body
8 Tips for healthy eating during festive season
With the festival around the corner, it is difficult to resist the temptation of eating delicacies like ladoos, shankarpalis, kaju katli, karanji, namkeens and chaklis etc. Nutritionpotli finds out how you can gorge and yet keep check on your weight.
Below are a few tips that will help you to enjoy a guilt-free Diwali without compromising your health:
Continue reading 8 Tips for healthy eating during festive season
Are you eating the right colours? Find out here…
We always heard from our health- food advisor's all the time that eat a variety of fruits and vegetables. But do we know the benefits of eating different coloured fruits and vegetables. This article will give you an insight on how eating different colour foods makes you healthy. Continue reading Are you eating the right colours? Find out here…
Broccoli: The new age super food
Broccoli is an edible green plant in the cabbage family whose large, flowering head is eaten as a vegetable. It offers innumerable health benefits. Being low in calories, high in fibre and rich in nutrients makes it an excellent choice for those who want to fight the extra kilos. Continue reading Broccoli: The new age super food


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Sony Fisheye Converter - SEL057FEC
This dedicated conversion lens for the FE 28mm F2 provides 16mm focal length with fisheye perspective and a full 180° angle of view (diagonally).
The converter has been specifically designed for the FE 28mm F2 (SEL28F20), and therefore offers expressive fisheye perspective with excellent image quality from infinity down to the closest focusing distance, without compromising the basic image quality of the lens. The sophisticated design seamlessly matches the lens, and is dust and moisture resistant for maximum reliability.
An affordable way to add top-quality 16mm fisheye capability to your creative toolkit. Simply attach and enter a new world of visual expression.
The Sony Fisheye Converter comes with a full Australian warrantyCameras Direct since 2003. Pop into our Gold Coast camera store & warehouse or order online. We look forward to being at your SERVICE Australia wide. We look forward to helping you take a better photo soon. Thank you
Additional Information
|Sony Fisheye Converter - SEL057FEC
|Manufacturer Part Number
|Special Price
|Product Type
|Lens Type
|Lens Mount
|Sony E
|Lens Maximum Aperture
|On 28mm f/2 Lens: f/3.5
|Lens Minimum Aperture
|On 28mm f/2 Lens: f/22
|Lens Minimum Focussing Distance
|22 cm
|Built-in Autofocus Motor
|Widest Angle of View
|Full-Frame: 180 degrees | APS-C: 105 degrees
|Lens Compatibility
|Crop Sensor
|Includes Lens Hood
|Includes Lens Case
|Includes Tripod Collar
|Product Weight
|418 grams
|89 mm
|External Length
|59 mm
|Warranty Period
|12 Months
Questions on Sony Fisheye Converter - SEL057FEC
No questions asked yet


text:
Our tenth full year of play has come and gone. Hardly seems possible that we have actually played 21 seasons!
We had 198 kids signed up to play ball on the Community Foundation of Greater Des Moines Field in the 2010 spring season and 208 in the fall season. In 2009 we had 115 kids playing in the spring and 147 playing in the fall! The weather in the fall was glorious, and the kids had great fun. In 2013, we had nearly 250 kids playing in each season. Same with the 2014, 2015, 2016, 2017, and now 2018 seasons! And in 2017, we added two adult teams–for anyone age 19 and older. The coaches have done an amazing job with their respective teams. And the buddy volunteers! Oh, my! Nearly 2,000 volunteered in each of our 2013, 2014, 2015, 2016, 2017, and 2018 seasons–schools, corporate groups, sports teams, and individuals–young and old alike! And the out of the park home runs continue!
With all these players and teams, our need for team sponsors is great! And now we have players registering for our 22nd and 23rd! Our goal continues to be that this experience is FUN for each child and is at NO cost to the child or family. This means that we need your support–we supply each player with a personalized uniform (shirt and cap), treat tickets after each game, and an end of the season trophy/pizza party. Behind the scenes, we have insurance costs, maintenance, a concession stand, periodic improvements, and general upkeep to keep the entire site in tiptop shape. We need your support!
It's never too early (or late) to be a Team Sponsor. Become a Team Sponsor for our 2019 Seasons for only $500. As a Team Sponsor, we will put your name on our website, display a banner with your company/individual name/logo on the dugout (both Spring and Fall 2019 Seasons), and list you as a Team Sponsor on various brochures and publications. Complete the form below, and mail your check payable to Kiwanis Miracle League for $500 to our Miracle League office at 505 5th Avenue, Ste 302, Des Moines, IA 50309. Thanks to you, many kids will really get the chance to have fun and play baseball this summer on an organized team at no cost to them or their parents!
Click here (or copy and paste into your browser)
to download our 2019 brochure:
And join our Growing List of 2019 Team Sponsors:
Kiwanis Clubs of…
Des Moines (Downtown) Foundation
Des Moines (Downtown) Foundation/Firestone USW310
Des Moines Golden K (triple)
Northwest Des Moines
West Des Moines
AmeriGroup Iowa/Anthem Foundation
'Ann McGowan (In Memory of Terry McGowan)
Bill & Barbara Keck & Family
Capital Sanitary Supply/Doug & Cheryl Ireland
Chris Verlengia/Wellmark BluesCare
Covenant Presbyterian Church
Danish Brotherhood Lodge #15
Des Moines Parrot Head Club
Faith Lutheran Church Men's Breakfast Group
Iowa State Bank
Keller Williams/Marcia Munger
Kreg Tools/KregCares
Kurt & Sandra Pearson/Compass Financial & LPL Financial (double)
Merrill Axle and Wheel Service, Inc.
Middendorf Insurance
Poindexter Flooring
Quick Supply Company
Ray & Jolene Ward, Members of Kearney Kiwanis Club
Sally Ehlert
Shottenkirk Chevrolet
The Corkrean Family (Shawn & Shannon)
Our In-Kind Sponsors…
Eychaner Properties (parking)
Heritage Building Maintenance (general cleaning)
Polk County Dairy Queen Association
The Iowa Cubs (general maintenance)
WIN Communications (social media & web site)
And Special Thanks to our Multi-Year
(2016, 2017, 2018, 2019, & 2020)
Buddy Program Sponsor…
- * * * * * * * * * * * * *
Kiwanis Clubs of…
Des Moines Foundation
Des Moines Foundation for Firestone USW310 Workers
Des Moines Golden K (triple)
Northwest Des Moines
West Des Moines
Chris Verlengia, Wellmark BluesCare
Cynget Leadership Solutions
Danish Brotherhood Lodge #15
Des Moines Leadership Network
Faith Lutheran Church (Men's Breakfast Group)
Marcia Munger/Keller Williams
Mary & Dick Langdon
Merrill Axle and Wheel Service, Inc.
Mike & Mary Timmons, Golden K member (double)
Quick Supply Company
Sally Ehlert
Shawn & Shannon Corkrean, KML Board Member
Whiff-It Des Moines (double)
Our In-Kind Sponsors:…
Adventures in Advertising (merchandising)
Eychaner Properties
Hamilton's on Westown Parkway
Lutheran Church of Hope (pizza party site)
Marsden (cleaning)
Polk County Dairy Queen Association
SpeedPro Imaging, Grimes
Stover Photography
The Iowa Cubs (general maintenance)
USSSA Baseball/Central Iowa Sports (trophies & plaques)
WIN Communications (social media & web site)
And Special Thanks to our Multi-Year
(2016, 2017, 2018, & 2019)
Buddy Program Sponsor…
Your name could be here!
updated 11.11.19 9:15 AM


text:
|needs no words
Awesome shot Sally! Thanks for sharing!
photo by Sally Conway
Welcome to the vinalhaven sightings report – March 23rd, 2015
MCHT and VLT
Wondering what the snow fleas have been up to
Highlights – otter, owls and mink. Red tail hawk, snow fleas!!!! , boat ride, when seal bay freezes over!
Upcoming Events – VLT/MCHT Woodcock Walk – Saturday April 4th, 7pm at Lane's Island. Be there or be somewhere else!
|roger covered in snow
VLT/MCHT Basin Clean-up – Sunday April 12th, 9am at Skoog to carpool. We'll be cleaning up near the Basin bridge for a few hours, come on out and help!
|seal bay
Business – contact us – firstname.lastname@example.com – where else can you share your nature sightings and photos? Facebook? That's soooooo 2014. I mean, feel free to get Facebooked and all that…but then send them over to the VSR! We'd love to see what you have seen.
Tiit trick – click on the photos to make them jumbo sized.
|seal bay has these ice formation too!
|ice caves at seal bay
|how deer made it to seal bay!
Grackles for a day – the "true harbinger of late-winter", a handful of Common Grackles, was spotted between up the sands (3/11). Not reported since.
These days - Spring singers, drummers and callers- black-capped chickadee, cardinals, red-breasted nuthatch, song sparrow, downy and hairy woodpeckers, Great-horned Owl
|it's snow flea season!
Snow Fleas – With all the wondrous snow this winter, it is no surprise that so many people have approached me with concerns about the wildlife on Vinalhaven. Even raccoons have brought out sympathy from some, but there is one species that literally (not really) has been on everyone's minds – Snow Fleas!
Figuring the answers to my questions were as follows – (1) "fine", (2) "not at all", (3) "probably not", (4) "what?" and (5) "idiot" – soon after I lost whatever "concerns" I had. But then (3/13) came along and all my vanished "concerns" vanished even more. None more concerns. ("The answer is none. None more black" – Nigel Tufnel).
Fox Rocks area – (3/13) a half mile hike on a nice warm day, resulted in a half mile back track back out following my old footsteps. And each and every one of my "less than an hour old" snowshoe prints having snow fleas in them, some filled more than others of course. I had never seen such a stretch of snow fleas in my life! Bursting onto the scene with such intensity and magnitude it was as if the snow fleas had been waiting for this moment for all their lives. Which might be true – I don't know how long they live actually.
Hey – now's a good time to drop some basic Snow Flea knowledge down –
Gwen person "Wired"
"Technically, springtails aren't proper insects at all, since their body has a different design than the standard insect plan. Their taxonomic name is Collembola, and while they are in the group Hexapoda (which contains the Insecta), they are not classified as insects. Their eyes are not proper compound eyes, and their abdomen has fewer segments and some special extra appendages that insects don't have. Springtails also keep molting (shedding their exoskeleton) through their lives; the world record is 52 moults. That's way more than any insect or spider, and kind of amazing for such a tiny animal."
"Springtails get their name from their jumping apparatus -– they don't use their legs to jump like fleas and grasshoppers, but have a special little appendage that flicks them up and around. This furcula is like a spring; when it's released, it flings the springtail up over 100 times its body length. Alas for the springtail, they can't control where they go -– but it's still effective for predator avoidance."
|the sun has not set on snow fleas
"The mechanics of their jump are pretty fascinating — snow fleas' exoskeletons power their flips. It contains a rubber-like protein called resilin, where a lot of the potential energy for the jump is stored, but blood pressure and muscles also are involved."
"Snow flea courtship involves a lot of head banging. Females are usually larger than males, and it's thought that she assesses a male's suitability by making him push her around. Literally"
Eating habits – from "Fairfax County Public Schools" website- thank you public schools!
"Snow Fleas, and other springtails, live in soil, leaf litter, mosses, fungi, and along shores of ponds. Sometimes they can be found on the surface of ponds. Since they are so light, they can walk on the surface without sinking.
They eat old dead plant matter, bacteria, fungi, algae, pollen, roundworms, rotifers, and sap. Roundworms and rotifers are tiny microscopic animals."
|raccoons do not eat snow fleas - unless by accident
|been nice to see the raccoon highways
once again
And finally back to Gwen Person from Wired - "Here's what some People may not realize it, but Snow Fleas, and all springtails, are very important. They are decomposers, and help break down old dead plant matter and other items in the soil. After the springtails are done with them, plants can pull the nutrients back from the soil and use them to grow. Then, people and other animals can use the plants. Springtails are an important part of nature's cycle".
|dead saw-whet
Great Horned Owl – when visiting veterinarians Melissa and Allison were taking star photos from the yard the other night they heard a Great Horned Owl hooting it up on Greens…
|feathers and owl spraint
(3/19) Lane's – on a quick snowshoe on Lane's I found some Saw-whet Owl feathers that had been ripped out of a Saw-whet owl (makes sense) presumably by a Great Horned, but maybe a Long-eared could have done it I guess. Either way it's one less Saw-whet to worry about....
|owl scat looks like this
they don't lift their tails, so the
scat comes straight down
|part of a frozen and thawed pellet
|Brimstone in snow
Boat Ride – (3/19) on the Skua –Capt. John Drury was kind enough to take me for a spin around the Whites (islands not Heather and Adam) and over to Brimstone.
|great cormorants on the rocks
|looking good and ready to go
|Harlequins on the move
|purple sandpipers
photo by John Drury
Estrus – noun - regularly recurrent state of sexual excitability during which the female of most mammals will accept the male and is capable of conceiving: heat; also: a single occurrence of this state,
And their "student definition" - a periodic state during which the female of most mammals is willing to mate with the male and is capable of becoming pregnant
Since there has been snow – which has been for a while now – we have been posting about what a great year it has been for Mink out here, and now the year is apparently getting even greater! I was tracking a pair of mink out on Lane's (3/17) who appeared (from their tracks) to be getting along from the way their trails were crossing and interacting (interacting trails? Whatever). Then I came upon this scene.
From the looks of it one of the mink – assumed to be the female – let out a spraintload of red liquid –assumed to be blood – in mid run. The mink didn't break stride as the gush flowed for a few bounds, eventually bleeding into some of its own tracks.
Now, back in March 2005 – the 15th I believe – I found a similar scene out on lane's – lots of mink trails and rolls with spots of blood sprinkled throughout. This year's female looks to be even more "good to go" than the 2005 female as this was no sprinkling of blood, but a splashing.
|can you hear the "sploosh" sound
of estrus being released
I did a something search on "mink estrus photos" was pleased to see the VSR as one of the first links, but the photos in general should little estrus and more mink trails. I did not do a something search on "what does mink estrus sound like" but I would have to assume (lot of assuming here) that it sounds a little like "sploosh". I should have sniffed it, but I didn't want to be tricked into pursuing the female – I am a male whether other males accept me in their clan or not.
Anyway – what a cool scene to find. I bet they are "shagging like mink" out there as we speak!
Otters – and no winter VSR would be complete without some otter stuff.
Crockett River Road – Adam White and Jamus Drury spotted some otters slides where freshwater flows into the cove – very cool!
Norton's Point – Oscar looks to have gotten over his grumpiness at getting his photo taken, and tuned up at this one latrine 3 times in a week. Rolling and tumbling, Oscar was marking up a storm!
|Oscar rolling
|heading up stream
Basin to Vinal Cove – one of my favorite lessons I have learned on Vinalhaven is that otters run across the island. The first cross island trail that I observed was the "Basin-Long Pond-thru the woods – Folly pond shoreline- to Vinal Cove" otter runs from 2008. I hadn't crossed paths with this route being used pretty much since, but an otter made that run on the 18th, and I was fortunate enough to be in the area on the 19th for some fun tracking!
|crossing long pond
The otter came out of the Basin by the Long Pond outflow – the cross island runs I have come across have all have freshwater drainages as the starting and ending places. It (he most likely) worked its way up the stream – under ice and snow – until it got to the pond. There it bounded and slid its way along the entire length of the pond, and then booked it thru the woods!
Up, up, up – why would an otter head up and over the highest point around instead of going along the lower (though longer) and somewhat easier to traverse valley system that could also take him to Folly Pond? Maybe less time out of the water means less time for predators to snag – but really – who is getting an otter out here? I doubt even a Great Horned would be silly enough to go after them. Survival instinct. Yeah sure.
Or maybe he wanted to get the longest slide he could get? That was what I was going with – unfortunately he took such a zig zaggy route down there was hardly room to belly slide much. He actually was sliding just as much on the flat frozen lake!
|heading down the hill -
about the biggest slides in the woods
So I have come to the conclusion that it is simply the way he goes. The otter in 2008 was possibly another otter – they don't live too too long - but it took the same route. And that's why we love otters – they are creatures of habit and that makes them easy!


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Pearl River Community College
Pearl River Community College Admissions and School Information
Pearl River Community College is in Popularville, Mississippi. This school has associate's degrees and certificates in the fields of business, engineering, computer science and vocational trades.
General Information about Pearl River Community College
Founded in 1909, Pearl River is Mississippi's oldest publicly funded 2-year institution. The school only offered freshman classes at first, but expanded to add sophomore classes in 1925, and in 1936 the school began offering military training curriculum. The college and regional history can be viewed by visitors and accessed by students for research in the PRCC Museum.
Students can also complete degrees online, as Pearl River is affiliated with the Mississippi Virtual Community College (MVCC). The MVCC is the central online education vehicle for 15 Mississippi community and junior colleges. Pearl River notes that this form of education is best for self-motivated, responsible, independent and organized students.
Admissions and Enrollment Information
Pearl River enrolls an annual average of 5,000 students, approximately 400 of which are transfer students. Over 2,500 applications are submitted to the school each year and about 87% are accepted. Of the accepted students, 100% matriculate. The admissions committee requires applicants to submit high school records and standardized test scores. Completion of a college preparatory program is recommended, but is not a requirement.
Departments of Pearl River Community College
Department of Humanities and Social Sciences
Students studying psychology are required to take two laboratory and two lecture hours per week. Such courses include concepts of occupational therapy, field work, psychology of dysfunction and pediatrics. Other areas of study are also available. Criminal justice, history, geography, sociology and journalism are just five of the 14 available majors in this department.
Department of Fine Arts and Communication
This department consist of three main areas of study: speech and theater, music and visual arts. The department hosts events throughout the school year as a medium for students to display their talents. Most of the events are held in the Malone Chapel and are open to the public. The school has recently committed to building at state-of-the-art facility dedicated to the arts, the Ethel Holden-Brownstone Center for the Arts.
Department of Health, Physical Education, and Recreation
All associate of arts degree students must take at least two credit hours in health and physical education. At least one of the credits must be from a class that takes place in the college's wellness center. Such classes include aerobics, strength training, nutrition and wellness, ballroom dance and football theory.
Department of Science, Mathematics and Business
The aim of the Department of Science, Mathematics and Business is to provide courses that commonly makes up half of a bachelor's degree requirements. The department emphasizes biology, business, computer science, mathematics and engineering. Accounting, microbiology, zoology, organic chemistry and discrete mathematical structures show the variety of courses offered here.
Department of Nusring Education
Degrees in practical nursing and associate of nursing are available through this department. A professional nursing forum, dosage coursewok, an LPN bridge course and six nursing classes make up the curriculum for these degrees. These programs prepare students for BSN programs and for the RN examination.
Contact Information
- Address: 101 Hwy 11 N, Poplarville, MS 39470
- Phone Number: (601) 403-1000
Find a School
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text:
Meet Dana Pharant, Master healer, life strategist, published author and past CEO of a near 7-figure business and former Dominatrix. Dana is a transformational coach who uses dynamic tools for rapid change, her kick-ass energy and ability to perceive, pin point and pop the problem limiting you, your body or your business while having fun.
Not only have Dana's clients reported all the benefits of deep relaxation, they've also experienced more energy and lightness, improved mental focus and moods, handling difficult situations with ease, expanding their business and their bank accounts. Dana has worked with 1000's of clients over the years with great success.
"I love to work with people who are committed and ready to shift and change things that are no longer working in their bodies and their lives."
Fun Facts About Dana:
Fantasy entourage – Scooby Doo Gang
Who you want to secretly date – Elon Musk
What most people would be surprised to learn about you – I grew up in a cult
Time period you would love to spend a day in – 1600's
Who would love to interview – Amy Schumer
Follow Dana on Facebook & Twitter and be sure to tune in to learn about the side of self-help we don't see!


text:
フタリボシ (Futariboshi) Lyrics
This is the Tanibata song. July 7. Apparently each year, the stars Orihime and Hikouboshi meet and grant people wishes on this day. Google if you want more info. Also, I will be moving to Blogspot soon, so there will probably be one more post on this blog.
Here's the song on Nico Nico Douga.
Cover by "Real sisters" non and emii:
満天の星たちが僕を まるで祝福するみたいに
満点の答えなんて きっと見つけられないけれど
君が笑う 僕も笑う それだけで幸せ
眠れぬ夜に恋をして 今すぐ君に会いに行こう
指先で繋ぐ星屑 描き出す夢
形のない光でも 君を想うほどに強く
見上げればあの日見つけた 二人星 輝く
何回も何千回でも きっと言葉にできなくて
何回も何万回でも そっと君を想うココロは
あの星が君だとしたら 僕はその隣の星だ
君の名前 僕の名前 あの星に重ねて
眠れぬ夜はいつだって 誰より君に会いたくて
君が零した涙も 夜空の星に変えてみせる
泣き虫な君の横顔 流れ星 流れる
眠れぬ夜を抜け出して 今すぐ君に会いに行こう
形のない光でも 君を想うほどに強く
見上げればあの日見つけた 二人星 輝く
いつまでも 二人で
manten no hoshi tachi ga boku wo maru de shukufuku suru mitai ni
matataite iru yo
manten no kotae nante kitto mitsukerarenai keredo
sore de ii tte omoeru
ano basho de miageta yozora
bokura ga chikai atta kotoba
kimi ga warau boku mo waru sore dake de shiawase
nemurenu yoru ni koi wo shite ima sugu kimi ni ai ni ikou
yubisaki de tsunagu hoshikuzu egaki dasu yume
katachi no nai hikari demo kimi wo omou hodo ni tsuyoku
miagereba ano hi mitsuketa futariboshi kagayaku
nankai mo nanzenkai demo kitto kotoba ni dekinakute
nomi kondeshimau
nankai mo nanmankai demo sotte kimi wo omou KOKORO ha
tsutae kirenainda
ano hoshi ga kimi da toshitara boku ha sono tonari no hoshi da
kimi no namae boku no namae ano hoshi ni kasanete
nemurenu yoru ha itsu datte dare yori kimi ni aitakute
"mou sukoshi, mou sukoshi dake soba ni isasete"
kimi ga koboshita namida mo yozora no hoshi ni kaete miseru
nakimushi na kimi no yokogao nagareboshi nagareru
nemurenu yoru wo nuke dashite ima sugu kimi ni ai ni ikou
kuragari de furueru sora wo oikoshinagara
katachi no nai hikari demo kimi wo omou hodo ni tsuyoku
miagereba ano hi mitsuketa futariboshi kagayaku
itsumademo futari de
The stars in the sky, as if they were blessing us,
are twinkling.
I won't be able to find the perfect answer, but
I can believe that's okay.
At that place, looking up at the night sky,
we exchanged our oaths.
As you laughed, I laughed, and that itself was happiness.
As I fell in love on a sleepless night, I decided to see you.
The stardust connected by my fingertip begins to etch a dream.
Even though the light has no shape, it is as strong as when I think of you.
As I looked up, I found that day. Our stars will shine.
No matter how many times, how many thousand times, the words won't come out
and will fall into silence.
No matter how many times, how many ten thousand times, my heart that secretly thinks of you
can't be conveyed.
If that star is you, then I am the star next to it.
Your name and my name are together in those stars.
During that sleepless night, always you are the one I want to see most.
"Just a bit longer, let me be by you just a bit longer."
The tears you spilt have become the stars in the night sky.
Across your crybaby face, a shooting star soars.
Sneaking out that sleepless night, I will soon see you.
As I pass the sky shivering from the darkness,
even though the light has no shape, it is as strong as when I think of you,
as I looked up, I found that day. Our stars will shine.
Together forever.
One Response to "フタリボシ (Futariboshi) Lyrics"
Hi! I know you have recently moved, but I just wanted to leave a message to say thank you to you for providing the lyrics and translation for this wonderful song. 😀


text:
08.09.16 – VAPPU ROSSI: ALL REQUIREDPublished
Vappu Rossi (born 1976) is a versatile artist who, regardless of the tool, studies the basic questions of humanity in her her artworks. Whether it is a performance, an animation or a painting, she lets us have a sneak peak inside our own head, and almost automatically we end up making a psychological interpretation of her works. In this exposition Rossi is seen as a classical drawer. The big artworks have been inspired, for instance, by unfinished renaissance sculptures where you can even spot the traces of the chisel.
Welcome to the opening party on Wednesday, September 7th from 5 p.m. till 7 p.m.! The event will be inaugurated by philosopher Kai Alhanen.
The exposition will be open from the 8th of September till October 9th. Wed-Fri 12 p.m.-6 p.m., Sat-Sun 12 p.m.-4 p.m.


text:
Shantadurga temple, dedicated to the Goddess who mediates between Vishnu and Shiva, is a large temple complex located 33 kms from Panaji at the foothills of Kavalem village in Ponda.
The original temple at Cavelossim was destroyed by the Portuguese in 1564. The devi was shifted to Kavalem and worship continued there. The current temple was constructed during the reign of Maratha ruler Chatrapati Shahu Raje of Satara about 1738 AD.
The temple complex is on the slope of the foothills of a mountain chain, surrounded by lush vegetation. There is a main temple and three smaller temples of other deities which have been built on three sides of the temple. The temple consists of a collection of pyramidal roofs with an interesting dome. The pillars and floorings are made of Kashmir stone. The temple has a huge tank, a deepstambha and agrashalas (guest houses).
Many renovations have been completed over the years to the main temple and the temples of the other deities as well as to the agrashala.


text:
Report on the South West Regional Day Conference, Saturday 12th May 2018, by Jonathan Draper
from Signs of the Times No. 70 - Jul 2018
Twenty members (and friends) of Modern Church met in Bath on Saturday 12th May to hear Bob Reiss talk about his book Sceptical Christianity (reviewed in Signs of the Times January 2017), and to discuss with him and each other a wide range of issues to do with articulating a credible faith today.
Bob took us through a bit of his own story, relating his theological development from Crusaders in the early days to being influenced by John Robinson and the interesting and creative theologians he encountered in Cambridge.
This included an interesting aside about how, at one point, Cambridge seemed to lead the theological debate in the Church of England, but also how much of that debate seems to have stopped today, with the Church of England retreating into a defensive and conservative place.
Along with giving us an insight into his own theological development, Bob also engaged with a number of theologians in his lecture (Keith Ward, John Macquarrie, John Hick, Maurice Wiles, Geoffrey Lampe and others) who helped to shape his answer to the question of whether or not God is 'real' (with Macquarrie: God is not a 'being' but a way of approaching what we encounter in the universe and Being itself).
We touched on the importance of having more teaching and discussion in churches about the nature, historical accuracy and use of the Bible We touched on the usefulness of 'incarnation' as a category for understanding the relationship of Jesus to God, and on the small subjects of salvation and life after death. Above all, Bob spoke about the need for honesty in our discussion of all this in open and respectful ways in the churches, virtues he showed in great abundance.
Participants spent time in smaller groups talking about the points Bob raised, then regathered for about 45 minutes of general discussion. Perhaps it was a sign of the average age as a group, but we did spend quite a bit of time talking about life after death, including an interesting discussion about so-called 'near-death experiences'.
We talked about the apparent disconnect between church and society and how this might also relate to a lack of in-depth theological education among clergy (and bishops…). We talked about incarnation, and the need to understand God as a 'felt reality'. We also talked about the need for all Christians to be comfortable with uncertainty and not always to be seeking definitive answers to questions (which are probably not possible anyway).
We didn't, of course, come up with definitive answers ourselves, but we asked a lot of good questions, and Bob's lecture stimulated us to a lively and well-informed discussion, ably chaired by Paul Brett.


text:
Persistence is something I admire. It's a trait I admire and want to have. What's great about it is it's equal parts obstinance and hope. That's how I think of running. It's such a long-term thing. In 2003, I was still pretty new to running. I'd been at it for three years and kept improving. I qualified for Boston after doing a 3:02 in Chicago in the fall. I was running so much that I even did a 50k in February of 2003, coming in eight place with a time of about 4:05. I was running 60 miles a week. I felt so ready for Boston and going under three hours. It felt inevitable to me.
Tuesday, April 20, 2010
Persistence is something I admire. It's a trait I admire and want to have. What's great about it is it's equal parts obstinance and hope. That's how I think of running. It's such a long-term thing. In 2003, I was still pretty new to running. I'd been at it for three years and kept improving. I qualified for Boston after doing a 3:02 in Chicago in the fall. I was running so much that I even did a 50k in February of 2003, coming in eight place with a time of about 4:05. I was running 60 miles a week. I felt so ready for Boston and going under three hours. It felt inevitable to me.
20 comments:
- runner-grrl said...
Nice job out there Monday, and congrats on exorcising your demons on the course from 2003! Great to read about! --Alex
- April 21, 2010 at 8:55 AM
- Pamela said...
Definitely inspiring, Brian. Older and wiser, as well as a little heavier. Congrats!
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- JT said...
Wow, it's people with stories like yours that make me think I shouldn't shrug off the thought of qualifying for Boston one day. Loved reading this!
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History of Tango
Around the late 1870's, Buenos Aires improvised a new dance – with some similarities to the candombe – which they called a 'tango'. The compadritos, in a spirit of mockery, took elements of this dance, parodied them, and incorporated them in their own favorite dance of the time, the milonga. It was the milonga that would eventually develop into the tango as we know it today.
The bandoneon, introduced to Argentina from Germany in the late 19th century, is the fundamental instrument of tango groups. This fully developed instrument has 38 buttons for the right hand and 33 for the left. Each button can produce two notes, depending on inflation or deflation of the squeezebox.
As the tango itself matured from its primitive stages, the bailarines, or dancers, would develop new approaches to the music and time.
In the early 20th century, the tango found its way out of the shady cafes and brothels into the more respectable dance halls of Buenos Aires, although the upper classes of the period still strongly disapproved of the dance. After many years, the tango today is the product of many great composers and lyricists that have written pieces that have taken on a life of their own.
Thanks to the talent of tango orchestras, the music grew from the early stages of primitive tangos into the fully developed, richly integrated sounds of the golden eras of the 30s through the early 60s. Due to social and political changes in Argentina, the tango began to fade in popular demand and was almost extinguished for about twenty years. However, thanks to tango's worldwide popularity, the dance has reemerged again. Today, you can learn about and listen to tango in almost every part of the world.
"The Tango was born as a dance and will die as a dance."
-Juan Carlos Copes


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text:
Dr. Liebowitz is a
regular contributor to
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Howard Liebowitz, M.D. Dr. Liebowitz was trained in Internal Medicine at USC, and worked as an Emergency and Trauma Physician for over 20 years. He has served as the Medical Director at The Centinela Hospital Fitness Institute testing professional athletes from The Lakers, Clippers, Dodgers and PGA golf tour.
He was the team Doctor for The Pioneer Triathlon Team, a professional triathlon team. He served as a member of the medical Board for Tri-Fed, the governing body of the Triathlon sport. He was a member of the advisory board of Bally Health and Tennis, and 24 Hour Fitness. He also worked as a Physician at the Pritikin Longevity Center. He has been a lifelong athlete himself, as a college swimmer and later a triathlete, completing the grueling Hawaii Ironman three times.
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text:
John Tranter's 2012 Tapa Notebook Page —
[ Dark blue ink: ] [ left appliqué endpapers featuring red ladybird bugs; centrally a row of three similar NZ stamps featuring blue skies and distant snow-clad mountains, denomination 40 cent, five cent, and 40 cents ] With the sestina as model, / John Tranter has created a / new form similar to the / sestina but far more / flexible in its emphasis on / end words: the terminal. / Taking only the line-endings / from previously-published / poems, the terminal can / [stamps here ] / be any length, and the / number of terminals possible / in the English language / is limited only by the /
What can I say?
Links: Cover: Cover Front Inner, Cover: Cover Front,
p.001, p.002, p.003, p.004, p.005, p.006, p.007, p.008, p.009, p.010, p.011, p.012, p.013, p.014, p.015, p.016, p.017, p.018, p.019, p.020, p.021, p.022, p.023, p.024, p.025, p.026, p.027, p.028, p.029, p.030, p.031, p.032, p.033, p.034, p.035, p.036, p.037, p.038, p.039, p.040, p.041, p.042, p.043, p.044, p.045, p.046, p.047, p.048, p.049, p.050, p.051, p.052, p.053, p.054, p.055, p.056, p.057, p.058, p.059, p.060, p.061, p.062, p.063, p.064, p.065, p.066, p.067, p.068, p.069, p.070, p.071, p.072, p.073, p.074, p.075, p.076, p.077, p.078, p.079, p.080, p.081, p.082, p.083, p.084, p.085, p.086, p.087, p.088, p.089, p.090, p.091, p.092, p.093, p.094, p.095, p.096, p.097, p.098, p.099, p.100, p.101, p.102, p.103, p.104, p.105, p.106, p.107, p.108, p.109, p.110,
Cover: Cover Rear Inner, Cover: Cover Rear.
These are scans of pages of a Tapa Notebook, filled out by Australian poet John Tranter for the University of Auckland Library. It recounts his experiences in Auckland in March 2012 at the University's symposium 'Short Takes on Long Poems'. John has published an internet journal with similar material. This Notebook has the advantage of handwriting, doodles, decoupage and lots of colourful New Zealand stamps. Copyright Notice: Please respect the fact that all the material on this site is copyright © and the individual authors 2012 to 2016 et seq. It is made available here without charge for personal study and enjoyment by individuals only. It may not be stored, displayed, published, reproduced, or used for any other purpose.


text:
Stabler and Benson are called to the scene of a woman who has been shot after receiving slashes to the neck and genital area. Benson finds a proof sheet, which shows the victim was probably a model or an actress. Warner points out that there are saliva marks near the victim's open wounds. Benson also finds a dead bird in the woman's purse.
After finding a VIP stamp to an after-hours club on the victim's wrist, Stabler and Fin hit the streets and interview the wrangler to the club, Oscar. Oscar looks at the pictures and identifies the girl as an aspiring model, Natalie Bleers, and shows Stabler and Fin the flophouse that she crashed at, along with other modeling hopefuls.
Fin and Stabler discover that Natalie had a twin sister Pamela and they bring her in for questioning. Pamela swears she would never hurt Natalie and that she was her manager. She said Natalie had been hanging out with a hip-hop artist, Gots Money, and Pamela is sure he is the one who murdered her sister.
Warner tells Fin and Stabler that Natalie's slash marks were the work of a tiger. Warner shows up and points out that the bird in Natalie's purse was illegal and Stabler comes to the conclusion that Natalie was participating in illegal wildlife smuggling for Gots.
Fin and Stabler discover that Gots has a tiger and immediately link it to the death of Natalie. Gots swears that it was Natalie who was involved in animal smuggling and she got him the tiger. Benson tells Fin and Stabler that Gots is telling the truth; DNA evidence proves that another tiger mauled Natalie and supports Gots story. Gots says he'll lead Fin and Stabler to the people who are in charge of the animal smuggling ring, but Stabler will have to be undercover.
Stabler goes undercover as Mike, a customs agent looking into smuggling animals. He spots a tiger and gets a piece of its hair that later matches the tiger DNA found on Natalie's body. Cragen is upset when he finds out Stabler went undercover without telling him. Agent Culky from Fish and Wildlife comes in and tells Stabler to back off her case against Busheto, the kingpin in the smuggling ring. Her department has been investigating him for 14 murders and they don't want Stabler to jeopardize their case.
Agent Culky accompanies Stabler to Gots' residence, where neighbors report hearing loud noises. There, they find caged hyenas and a room covered with blood. Agent Culky and Stabler believe Busheto got wind of Gots' involvement with the cops and unleashed his animals to do the dirty work.
Stabler goes back undercover as Mike and talks to Busheto about animals. Busheto welcomes "Mike" to sit down and enjoy a meal with him... the meal being the tiger that killed Natalie. Busheto offers Mike the job of helping smuggle in a white gibbon monkey. Before Mike can take the job, he has to give up his wallet and his cell phone.
"Mike" is ready to take on his assignment. But, first, Busheto ties a GPS system to his wrist and threatens his life if Mike isn't who he says he is. Meanwhile, Benson tells Kathy about Stabler's undercover assignment and Kathy gets ready to leave Stabler for good. Benson feels terrible for having to give Kathy the news and tries to talk her out of taking any drastic action.
Busheto and his partner catch Benson at Mike's place and demand to know who she is. She goes into character and acts like a prostitute that Mike just hired for the night. Busheto and Tybor usher her out of the room at gunpoint.
Busheto takes Mike to a house to pick up a cage. He tells Mike to get out of the car and then shoots him twice and drives away. People see Stabler on the ground and call for the police. Benson is the first to be by Stabler's side as he slips in and out of consciousness on the street.
Stabler makes a full recovery and Cragen leaks to the paper that a customs agent was shot and killed in an animal smuggling ring. That way, Stabler's cover is not blown. When they return to Busheto's headquarters, they discover the whole place has been cleared out. Back at the SVU, Stabler arrives, eager to help out in the investigation.
After the detectives get wind of the white gibbon coming in from Jakarta, they head to the airport. Fin and Benson survey the scene from below and Cragen and Stabler survey from a separate room on the second floor. Stabler spots an anxious man with a basketball at the Jakarta gate and is sure the monkey must be in the basketball.
The detectives follow the man with the basketball to a warehouse in Queens, where they find a money transaction about to take place between a businessman and Busheto. When Busheto spots Stabler, he throws the monkey at Cragen and runs. Stabler takes after him, as Benson goes after Tybor. Fin instructs the businessman to run away from the scene.
Stabler corners Busheta and informs him he's going to be caged for a very long time. Meanwhile, Benson watches as Tybor hangs on to the side of the building. He tells Benson he's an undercover agent working for Fish and Wildlife, insisting he has a wire. Tybor's job isn't done. Stabler wants to know if there is anything he can relay to his family; Tybor says his family left him long ago.


text:
Quick Links
Access Aurora (Customer Service)100 John West Way
Box 1000Aurora, ONL4G 6J1
Telephone905-727-1375 905-726-4766 TTY
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