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Chapter 1: Anti-immigration attitudes: concepts and measurements
Immigration flows into Europe have increased sharply during recent decades [Hoo08]. During the 1960s, for example, the yearly net migration into the countries that nowadays make up the EU-27 was less than 100,000 on average. In 2006, this figure exceeded 1.6 million. The fact that several European countries adopted more restrictive immigration policies during the 1970s has not prevented an increasing number of persons from settling in Europe, either as economic or labour migrants, political asylum seekers, or to reunify with family members [Cas03]. In recent years, immigration has accounted for the lion's share of the population increase in the EU-15. Countries such as Sweden, Germany, Greece and Italy would even be facing negative population growth if all migration flows were frozen (European Communities 2004). Europe has de facto become a continent of immigration.
It is no exaggeration to say that the relations between immigrants and European host societies are quite tense at times. The electoral success enjoyed by anti-immigration parties [And96] [Lub02], for example, shows that substantial numbers of European citizens perceive immigration as having negative consequences. Survey research confirms the picture that negative feelings about immigration are quite widespread among the European populations. Inter-ethnic relations can be considered one of the key challenges facing contemporary European societies. It comes as no surprise, therefore, that social scientists from various disciplines have shown great interest in such anti-immigration attitudes.
Anti-immigration attitudes are also the topic of this EduNet module. Specifically, we will investigate how European anti-immigration attitudes have evolved in recent years. Several important research questions will be studied. To what extent are the ESS measures of anti-immigration attitudes comparable across countries and over time (Chapter 2)? How did European attitudes toward immigration evolve between 2002 and 2007 (Chapter 3)? And how can we explain the observed attitude trends (Chapter 4)? Before these questions are tackled, however, we reflect for a moment on how the concept 'anti-immigration attitudes' can be defined and operationalised using ESS data.
What are 'anti-immigration attitudes'?
Fishbein and Ajzen 1 describe an attitude as 'a learned predisposition to respond in a consistently favorable or unfavorable manner with respect to a given object'. In other words, attitudes can be seen as more or less consistent tendencies to evaluate particular objects positively or negatively. In this module, we study how Europeans evaluate the object 'immigration'. Thus, attitudes toward immigration essentially refer to the evaluations that people make in relation to immigration.
According to social-psychological theory, evaluations of objects are based on so-called 'beliefs' about these objects. Beliefs are pieces of information that individuals have about the object in question; beliefs are convictions that an object possesses certain characteristics. Individuals may hold a wide range of beliefs on immigration. One can be convinced that immigration causes unemployment for the local population, or, alternatively, that immigration enriches European cultural life. These beliefs can stem from personal experience. But they can also be based on second-hand information - received from acquaintances or from more distant sources, such as mass communication media. People arrive at an overall evaluation of the phenomenon of immigration by balancing all the beliefs they have with respect to immigration, thereby taking their relative importance into consideration. Obviously, beliefs do not necessarily have to be 'true' to have an impact on attitude formation.
Previous research has revealed that, in reality, people's attitudes are often not very consistent, and that, instead, they are strongly dependent on the concrete context in which they are expressed [Tou88] [Kro87]. Attitudes are thus more than a consistent, purely rational calculation based on concrete, well-founded information. Intuitive feelings, superficial impressions, stereotypes and ideological positions play an important role in the formation of attitudes. This is especially the case when one has little personal experience of the object of the attitude (and this is certainly the case with immigration). Attitudes towards a certain object are therefore never completely isolated, but are often strongly connected to attitudes towards objects that are perceived as related or similar. Attitudes to immigration are closely related to attitudes to ethnic minorities or to outgroups in general. Recent empirical evidence has shown that attitudes to diverse groups such as Jews, Muslims, homosexuals, the disabled and homeless persons are indeed very similar in their origins and consequences [Zic08].
This idea is in line with the classical theory of ethnocentrism. As early as 1906, Sumner introduced the notion of 'ethnocentrism' to denote the view that one's own social group is the centre of everything. Ethnocentric persons judge outgroups by means of the cultural norms and values of their own group [Sum60]. Ethnocentrism is seen as a complex of two different attitudes: a loyal, uncritical, positive attitude towards one's own social group (in-group dimension) combined with a hostile, negative attitude towards other groups (the outgroup dimension). Anti-immigration attitudes can thus be seen as a concrete translation of the outgroup dimension of ethnocentrism. Other aspects of ethnocentrism include ethnic prejudice, perceptions of ethnic threat, social distance, and avoidance of outgroup contact [Lev72].
- [1] Fishbein and Ajzen 1975: 6.
Antecedents of anti-immigration attitudes
There is now a vast amount of research into the antecedents of negative attitudes to ethnic minorities, immigrants and immigration (see, among others, [Bil95] [Cit97] [Coe03] [Fet00] [Hai07]). Ample empirical evidence has been presented that anti-immigration attitudes are stronger among people with little education, low-skilled workers and those at the lower end of the income distribution. According to self-interest theory, these persons hold similar positions to immigrants, and they are therefore more vulnerable to ethnic competition. As a result, they would be more prone to anti-immigration sentiment. Involvement in religious communities, membership of voluntary organisations, high levels of social trust and the absence of political powerlessness, on the other hand, seem to temper negative attitudes toward immigration. The logic behind these relationships can be traced back to social (contra-) identification theory [Taj82]. According to this theory, people who are socially isolated feel a stronger need to acquire a positive social identity by rejecting outgroups such as immigrants.
More recently, scholars started devoting considerable attention to how anti-immigration attitudes in Europe are influenced by the broader context in which individuals live. Various studies report that anti-immigration attitudes are more widespread in regions or countries with unfavourable economic conditions and sizeable immigrant populations [Qui95] [Sch02] [Sch08] [Sem08]. However, others were not able to replicate these effects [Sid07] [Str08], indicating that effects of economic context and ethnic diversity are still not an open-and-shut case.
Data: anti-immigration attitudes in the European Social Survey
In order to study the evolution of European anti-immigration attitudes, we make use of the first three rounds of the ESS (2002-3, 2004-5 and 2006-7). Seventeen European countries participated in all three ESS rounds. These countries are Austria (AT), Belgium (BE), Switzerland (CH), Germany (DE), Denmark (DK), Spain (ES), Finland (FI), France (FR), Great Britain (GB), Hungary (HU), Ireland (IE), the Netherlands (NL), Norway (NO), Poland (PL), Portugal (PT), Sweden (SE) and Slovenia (SI).
The core module of the ESS (this is the part of the questionnaire that is retaken in every round) contains three items that measure opposition to immigration. Each of the three items asks whether respondents prefer their country to grant access to many or few immigrants from a certain group. The first two items measure the extent to which the respondent believes his or her country should allow people of the same or of a different ethnic group to come and live there. The third question specifically refers to potential immigrants from the poorer countries outside Europe. Respondents indicated their responses on four-point scales, ranging from 1 (allow many) to 4 (allow none). Higher scores thus indicate stronger opposition to immigration to the country. These items can be seen as general indicators of a negative attitude towards immigration 1.
|Variable name
|Literal question
|To what extent do you think [country] should allow people of the same race or ethnic group as most [country] people to come and live here?
|How about people of a different race or ethnic group from most [country] people?
|How about people from the poorer countries outside Europe?
Value categories all items: 1 = Allow many to come and live here, 2 = Allow some, 3 = Allow a few, 4 = Allow none
In the remainder of this chapter, we use SPSS to construct and explore the dataset that will be used throughout this module.
- [1] In addition to these three items, the ESS core module also contains three items that ask how respondents evaluate the consequences of immigration in several domains (IMBGECO, IMUECLT and IMWBCNT). These items can be seen as indicators of perceived immigrant threat, i.e. the perception that immigrants threaten the economic, as well as symbolic, interests of the majority population. Although these items certainly offer interesting opportunities to study the evolution of attitudes to immigration in Europe, they are not dealt with in this module. However, the analyses presented in this module could easily also be repeated for the consequences-items.
Exercise 1.1. Constructing a pooled dataset
In this exercise, you are taught how to create a dataset with data from several ESS rounds. However, if you don't want to do this work yourself, you may download the manipulated data from the following link.
- Download the separate datasets from the first three ESS rounds and save them on your disk. The data can be found on the ESS data website.
- Merge the three datasets into one combined dataset containing the data from the three rounds.
*Start SPSS and open a new syntax window. Copy the syntax below into the syntax window and press 'run'. *Please do not forget to change 'C:\' to the path where you stored the ESS datasets, and to check the names of the datasets. *This will create a dataset with 132,896 rows (units/individuals from three rounds) and 1,076 variables.ADD FILES/FILE='C:\ESS1e06.sav'/FILE= 'C:\ESS2e03.sav'/FILE= 'C:\ESS3e03.sav'.EXECUTE.
- Select cases. Make a selection of the respondents that will be used in this module.
- Retain only respondents who are living in one of the 17 countries that participated in each of the first three ESS rounds. CNTRY is a character variable containing the country codes. The countries that should be retained (and their respective country codes) are: Austria (AT), Belgium (BE), Switzerland (CH), Germany (DE), Denmark (DK), Spain (ES), Finland (FI), France (FR), Great Britain (GB), Hungary (HU), Ireland (IE), the Netherlands (NL), Norway (NO), Poland (PL), Portugal (PT), Sweden (SE) and Slovenia (SI).
- In this study, we focus on anti-immigration attitudes among majority group members. The presence of immigrants or ethnic minority group members (who probably have very different views on immigration) in the sample could distort the results. To avoid this, remove all respondents of foreign nationality (variable BRNCNTR) or who belong to an ethnic minority group (BLGETMG).
- Exclude respondents with missing values for at least one of the three anti-immigration items (IMSMETN, IMDFETN, IMPCRNTR) 1.
*Select respondents who live in one of the 17 countries. *This syntax will reduce the number of rows from 132,896 to 98,561.SELECT IF(cntry = "AT") or(cntry = "BE") or(cntry = "CH") or(cntry = "DE") or(cntry = "DK") or(cntry = "ES") or(cntry = "FI") or(cntry = "FR") or(cntry = "GB") or(cntry = "HU") or(cntry = "IE") or(cntry = "NL") or(cntry = "NO") or(cntry = "PL") or(cntry = "PT") or(cntry = "SE") or(cntry = "SI").
*Select respondents who were born in the country and do not belong to an ethnic minority. *This syntax will reduce the number of rows from 98,561 to 88,134.SELECT IF (BRNCNTR=1) AND (BLGETMG=2).
*Delete observations with missing values. *This syntax will reduce the number of rows from 88,134 to 84,331.COUNT missings = IMSMETN IMDFETN IMPCNTR (missing).SELECT IF missings = 0.
- Save the newly created dataset under a new name. Keep only the following variables in the dataset:
- The anti-immigration items: IMSMETN, IMDFETN, IMPCRNTR
- The respondent's country: CNTRY
- The ESS round: ESSROUND
- Weighting variables: DWEIGHT, PWEIGHT
- [1] Deleting all cases with at least one missing value (so-called list-wise deletion) is not the best strategy for treating missing values. Nowadays, quite sophisticated missing data treatment, such as multiple imputation, is readily available in SPSS. However, since the number of missing values is very limited, and in order to avoid making the analysis too complex, list-wise deletion is nevertheless applied here.
Exercise 1.2. Data exploration
In order to get to know the data, we start with some data exploration.
- Take a look at the means and standard deviations for the three anti-immigration items. Calculate these statistics for the pooled dataset, i.e. without differentiating between countries or time points. Make sure that you have the correct dataset open. Also define DWEIGHT as a weighting variable.
Which item has the lowest mean? How do you explain that precisely this item has the lowest mean?
*Open the correct dataset. *Please do not forget to change 'C:\' to the path where you stored the ESS datasets.GET FILE='C:\ESS123_immig.sav'.
*Define 'dweight' as the weighting variable.WEIGHTBY dweight.
*Calculate means and standard deviations.MEANS IMSMETN IMDFETN IMPCNTR.
Table 1.2. Mean values of the three immigration items Variable Mean N Std. Deviation Allow many/few immigrants of same race/ethnic group as majority 2.23 84310 0.819 Allow many/few immigrants of different race/ethnic group from majority 2.50 84310 0.843 Allow many/few immigrants from poorer countries outside Europe 2.52 84310 0.852
Weighted by design weight.
IMSMETN has a lower mean score (2.23) than the other two items. The lower score reflects less opposition to immigration. Apparently, Europeans are less resistant to immigrants with the same ethnicity than to immigrants with a different ethnicity or from poor countries outside Europe (these two latter groups tend to largely overlap). It seems very plausible that attitudes towards immigrants who share some characteristics with the majority population are least negative.
- Graphs can be a very useful tool for data exploration. For each of the immigration items, draw a grouped bar chart representing the country means at the three time points. Your bar charts should represent the item averages (on the Y-axis) for all countries and time points (on the X-axis). The bar chart should have the following structure:
Figure 1.1: Example of a grouped bar chart
The bar charts can be obtained using SPSS syntax or SPSS 'Chart Builder'.
*Draw a grouped bar chart representing the country-means at the three time points.GRAPH/BAR(GROUPED)=MEAN(imsmetn) BY cntry BY essround.GRAPH/BAR(GROUPED)=MEAN(imdfetn) BY cntry BY essround.GRAPH/BAR(GROUPED)=MEAN(impcntr) BY cntry BY essround.
* Chart created using Chart Builder.GGRAPH/GRAPHDATASET NAME="graphdataset" VARIABLES=cntry MEAN(imsmetn)[name="MEAN_imsmetn"] essround[LEVEL=NOMINAL] MISSING=LISTWISE REPORTMISSING=NO/GRAPHSPEC SOURCE=INLINE.BEGIN GPLSOURCE: s=userSource(id("graphdataset"))DATA: cntry=col(source(s), name("cntry"), unit.category())DATA: MEAN_imsmetn=col(source(s), name("MEAN_imsmetn"))DATA: essround=col(source(s), name("essround"), unit.category())COORD: rect(dim(1,2), cluster(3,0))GUIDE: axis(dim(3), label("Country"))GUIDE: axis(dim(2), label("Mean Allow many/few immigrants of same race/ethnic group as majority"))GUIDE: legend(aesthetic(aesthetic.color.interior), label("ESS round"))SCALE: cat(dim(3))SCALE: linear(dim(2), include(0))SCALE: cat(aesthetic(aesthetic.color.interior))SCALE: cat(dim(1))ELEMENT: interval(position(essround*MEAN_imsmetn*cntry), color.interior(essround), shape.interior(shape.square))END GPL.
Click 'Graphs' in the main horizontal tool bar, and then 'Chart Builder'.
The Chart Builder wizard pops up. The first thing that needs to be done is to change the measurement level of the items from nominal to scale. This is necessary because SPSS does not allow you to calculate the mean of nominal variables. And it is precisely the item 'means' that we want to display on the Y-axis. Change the measurement level by right-clicking the variable name (in the upper left corner of the chart builder window) and then selecting 'scale' instead of 'nominal'.
Next, we define the graph type. In the lower pane of the Chart Builder, select 'bar'. Drag the second icon (with the green and blue bars next to each other) into the upper pane of the chart builder. Now you can select the variables to be displayed by dragging the variable names (in the upper left corner) into the graph. Drag IMSMETN to the box next to the Y-axis, and CNTRY to the X-axis. The variable ESSROUND should be dragged into the remaining box in the upper right corner ('cluster on' - see figure below). The measurement level of the variable ESSROUND must be set to 'nominal'.
We still need one more option. Click 'Element Properties' in the upper part of the element properties window, select 'X-axis (Bar 1)'. In the lower part of the screen, select 'Show only categories present in the data'. Without this option, countries that were excluded from the dataset (but that still have their value labels present) would also be shown in the graph. Click 'Apply' and close the 'Element properties' window. To get the actual graph, click OK in the 'Chart Builder' window.
Repeat these steps for the other two items (IMDFETN, IMPCNTR).
SPSS Output
- In which countries do we witness the strongest resistance to immigration? Which countries have the most immigration-friendly climate?
- Is there any evidence that attitudes toward immigration are changing over time? Do all countries under study experience similar evolution?
- Do the three items display a similar picture?
- Portugal and Hungary have the highest mean scores, indicating strong opposition to further immigration to the country. Swedes have by far the most positive attitudes to immigration.
- At first sight, attitudes toward immigration seem to be changing in some countries. The over-time evolutions are very different from one country to another, however. In some countries, such as Hungary, Portugal and the Netherlands, there seems to be a rather clear increase in anti-immigration attitudes. In others, such as Poland, we see the opposite trend.
- The items referring to immigrants of a different race/ethnic group (IMDFETN) or immigrants from poorer countries outside Europe (IMPCNTR) are very similar. This is not surprising, as there is a big overlap between these two immigrant groups. The item on immigrants from the same race/ethnic group (IMSMETN) leads to somewhat different conclusions, especially with respect to differences between countries. While Hungary clearly has the highest mean score on IMDFETN and IMPCNTR, Portugal scores highest on IMSMETN. The evolutions within countries, however, are largely similar for the three items.
Exercise 1.3. Exploratory factor analysis
In the previous exercise, it became clear that comparing three different items for 17 countries and three time points can be a daunting task. Rather than working with individual items, we prefer to perform analyses on a single scale that is constructed on the basis of the three items. Working with scales has the additional advantage of higher reliability, because random measurement errors in the different items cancel each other out. However, it needs to be tested whether our three items are sufficiently strongly related to be considered as measuring the same concept. Exploratory factor analysis is one possible way of testing the reliability of the indicators.
Use SPSS to perform an exploratory factor analysis on the three immigration items. Carry out this analysis on the pooled dataset without making distinctions between countries and time points. Use 'principal axis factoring' (PAF) as the extraction method and ask SPSS to plot a so-called 'scree plot'.
*First make sure that the DWEIGHT is on, then run the factor analysis. *This is the end of the exercises in chapter 1. *Save the file to make sure you have an updated version of the file for the exercises in the next chapter. *Please do not forget to change 'C:\' to the path where you stored the ESS datasets.
- Do the three items measure a single dimension?
- Can the three items be considered reliable indicators of the intended concept (i.e. anti-immigration attitudes)?
- The number of factors or dimensions measured by the items can be determined in various ways. One possibility is to look at the eigenvalues. The eigenvalues refer to the amount of
information that is accounted for by the respective factors, given that every item contributes one unit of information. A common rule of thumb is that only factors with an eigenvalue larger than 1 should be retained.
After all, only these factors explain more variance than a single item. The eigenvalue of the first factor is 2.462. Since we have three items, the total variance here equals 3. 2.468, of which three units of
variance (i.e. 82.080%) are thus accounted for by factor 1. The second eigenvalue (0.351), on the other hand, is substantially smaller. Since this value is well below 1, the second factor hardly adds anything to the
amount of variance explained. Only the first factor should therefore be retained. We conclude that the three items measure a single dimension.
Table 1.3a. Total variance explained, part 1: Inital Eigenvalues Factor Total % of Variance Cumulative % 1 2.462 82.080 82.080 2 0.351 11.685 93.765 3 0.187 6.235 100.000
Weighted by design weight.
Table 1.3b. Total variance explained, part 2: Extraction Sums of Squared Loadings Factor Total % of Variance Cumulative % 1 2.212 73.731 73.731 2 3
Weighted by design weight.
The so-called scree plot confirms the conclusion that the three items are uni-dimensional. This scree plot is a graphical representation of the eigenvalues for the different factors. According to this heuristic, one should look for an 'elbow' in the graphic. Only factors on the left hand side of the elbow should be retained, while the rest is 'scree' and can be neglected. In this case, the elbow can be found with factor 2. As a result, only the first factor should be retained. By consequence, we can conclude that the three anti-immigration items measure one, single dimension.
- In order to judge the reliability of the items, we have to look at the factor matrix containing the factor loadings (note that, since only one factor has been retained, no rotation of the factors was performed).
The factor loadings represent how strong the respective items are in relation to the common factor. These factor loadings are essentially correlations, so that they range between -1 and 1. Usually, items with factor loadings
higher than .40 (in absolute value) are said to be sufficiently reliable. Here, all three factor loadings are considerably larger, indicating excellent reliability. The first item (IMSMETN) has the weakest factor loading.
This is understandable, given that this item mentions a specific immigrant group that is quite different from the groups referred to in the other two items. But even this first item has a very strong factor loading.
Table 1.4. Factor Matrix Variable Factor 1 Allow many/few immigrants of same race/ethnic group as majority 0.778 Allow many/few immigrants of different race/ethnic group from majority 0.943 Allow many/few immigrants from poorer countries outside Europe 0.847
Weighted by design weight. Extraction Method: Principal Axis Factoring. One (1) factor extracted, 12 iterations required.
Alternatively, reliability can be judged by looking at the communalities, i.e. the proportions of variance that the indicators share with the common factor. These communalities are the squares of the factor loadings (e.g. for IMSMETN: .778² = .605). All items share at least 60% of their variance with the common factor. Again, this indicates that the items are reliable measurements of the concept of anti-immigration attitudes.
Table 1.5. Communalities Initial Extraction Allow many/few immigrants of same race/ethnic group as majority 0.553 0.605 Allow many/few immigrants of different race/ethnic group from majority 0.715 0.889 Allow many/few immigrants from poorer countries outside Europe 0.650 0.718
Weighted by design weight. Extraction Method: Principal Axis Factoring.
- [And96] Anderson, C. J. (1996). Economics, politics, and foreigners: populist party support in Denmark and Norway. Electoral Studies, 15(4), 497-511.
- [Bil95] Billiet, J.B. (1995). Church involvement, individualism, and ethnic prejudice among Flemish Roman Catholics: new evidence of a moderating effect. Journal for the scientific study of religion, 34(2), 224-233.
- [Cas03] Castles, S. and Miller, M. J. (2003). The age of migration: international population movements in the modern world. Palgrave Macmillan, Basingstoke
- [Cit97] Citrin, J., Green, D. P., Muste, C. and Wong, C. (1997). Public opinion toward immigration reform: the role of economic motivations. The Journal of Politics, 59(3), 858-881.
- [Coe03] Coenders, M. and Scheepers, P. (2003). The Effect of Education on Nationalism and Ethnic Exclusionism: An International Comparison. Political Psychology, 24(2), 313-343.
- [Fet00] Fetzer, J. S. (2000). Economic self-interest or cultural marginality? Anti-immigration sentiment and nativist political movements in France, Germany and the USA. Journal of Ethnic and Migration Studies, 26(1), 5-23.
- [Hai07] Hainmueller, J. and Hiscox, M. J. (2007). Educated preferences: explaining attitudes toward immigration in Europe. International Organization, 61, 399-442.
- [Hoo08] Hooghe, M., Trappers, A., Meuleman, B. and Reeskens, T. (2008). Migration to European countries. A structural explanation of patterns, 1980-2004. International Migration Review, 42(2), 476-504.
- [Kro87] Krosnick, J.A., and Alwin, D.F. (1987). An evaluation of a cognitive theory of response-order effects in survey measurement. Public Opinion Quarterly, 51(2), 201-219.
- [Lev72] LeVine, R. A. and Campbell, D. T. (1972). Ethnocentrism: theories of group conflict, ethnic attitudes, and group behaviour. John Wiley and Sons, New York.
- [Lub02] Lubbers, M., Gijsberts, M. and Scheepers, P. (2002). Extreme right-wing voting in Western Europe. European Journal of Political Research, 41, 345-378.
- [Qui95] Quillian, L. (1995). Prejudice as a response to perceived group threat: population composition and anti-immigrant and racial prejudice in Europe. American Sociological Review, 60(4), 586-611.
- [Sch02] Scheepers, P., Gijsberts, M. and Coenders, M. (2002). Ethnic exclusionism in European countries. Public opposition to grant civil rights to legal migrants as a response to perceived ethnic threat. European Sociological Review, 18(1), 1-18.
- [Sch08] Schneider, S. L. (2008). Anti-immigrant attitudes in Europe: outgroup size and perceived ethnic threat. European Sociological Review, 24(1), 53-67.
- [Sem08] Semyonov, M., Raijman, R. and Gorodzeisky, A. (2008). Foreigners' impact on European societies. Public views and perceptions in a cross-national comparative perspective. International Journal of Comparative Sociology, 49(1), 5-29.
- [Sid07] Sides, J., and Citrin, J. (2007). European opinion about immigration: the role of identities, interests and information. British Journal of Political Science, 37, 477-504.
- [Str08] Strabac, Z. and Listhaug, O. (2008). Anti-Muslim prejudice in Europe: a multi-level analysis of survey data from 30 countries. Social Science Research, 37, 268-286.
- [Sum60] Sumner, W. G. (1960). Folkways: a study of the sociological importance of usages, manners, customs, mores and morals. New American Library, New York.
- [Taj82] Tajfel, H. (1982). Social psychology of intergroup relations. Annual Review of Psychology, 33, 1-19.
- [Tou88] Tourangeau, R., and Rasinski, K. (1988). Cognitive processes underlying context effects in attitude measurement. Psychological Bulletin, 103(3), 299-314.
- [Zic08] Zick, A., Wolf, C., Küpper, B., Davidov, E., Schmidt, P., and Heitmeyer, W. (2008). The syndrome of group-focused enmity: the interrelation of prejudices tested with multiple cross-sectional and panel data. Journal of Social Issues, 64(2), 363-383.


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Baghdad, Iraq (CNN) -- Four people died and dozens were wounded Monday in two attacks north of Baghdad, police said.
The fatalities occurred when a car bomb exploded Monday evening outside a popular coffee shop in a Shiite area of western Baquba, police said. At least 20 people were wounded in the attack 60 kilometers (about 35 miles) north of the capital, police added.
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Alarm Circuit for Water Level Display
Figure 1
The circuit was intended for monitoring and measuring the fluid level or content in a storage tank or reservoir by providing visual display with an audible alarm that can be switched.Light Emitting Diode (LED) – a semiconductor diode that is commonly a source of light when electric current pass through itCMOS4050B – non-inverting hex buffer where the inputs can withstand up to 15V even at lower voltage power supply while the outputs are capable of powering 74LS gate inputs directly with a 5V supply voltagePiezo Buzzer – a type of buzzer that can function as a speaker with piezoelectric disk attached where a mechanical oscillation of the piezoelectric diaphragm is damped properly to provide a wider frequency band of the sound pressure
From the diagram, the hex bufferCMOS4050B is utilized for this circuit operated by a supply of 5 V. The buffer input and all the 10M ohm resistors connected to the ground are providing bias to all the gates while the topmost probe, or the common probe, above probe 1 is connected to the positive 5 V supply. The use ofLEDs in the circuit is to indicate the level of the water by the activation of the gate. The top gate receives its activation when a tap water at 25o C is detected between the probes having a resistance of 20k ohms, thus lighting LED1. These probes are separated 1 cm apart as with probe 1 and common probe. Same thing goes with probe 2 as it is spaced 2 cm from the common probe. When water is detected at this level, LED2 will light and this goes with otherLEDs. To choose which output level would trigger the Piezo buzzer or audible oscillator, switch SW1 is utilized which is made fromCMOS4011B IC.
During the placement of the probes, 7 or 8 wires may be used where the first 2 wires can be assigned as common probe by joining them together. The succeeding wires may be required to be cut on a specified length. The insulation may be stripped back for a couple of millimeters and acting as the probe would be the bare end of the wire. The distance and fluid between probe 6 and the common probe wire should be less than 900k ohms and any fluid under this resistance will trigger the circuit. This is due toCMOSIC giving the same value of logic 0 to any voltage below 0.5 V. to compute for the voltage using a resistance of 900k ohms while 10M ohm resistor is the divider at the input shows that: 5 X [0.9/(0.9 10)] = 0.41 Volt
TheLEDwill light since the voltage is below 0.5 and is regarded as logic 0. The maximum distance between the top probe and the common probe should not exceed 45 cm when measuring tap water at 25o C. An ohmmeter could be used for measuring other types of fluids and temperatures.
The Piezo electric buzzers are used in switching sounds of home electric appliances like microwaves, washing machines, multiple sounds like in electronic games, alarm sounds of digital watches, calculators, card radios, speakers of crystal TV's, key-in sounds of outdoor action equipment, pagers, smoke detectors, and telephone ringers, receivers and transmitters.
The water level alarm can also be termed as bath or sink water level alarm, water alert, overflow alarm, and leak detector, since they are mainly used in areas where detection of leaks and water spillage is necessary like kitchens, bathrooms, cellars or basements. It can also give benefits to nursing and care homes or care of the elderly at homes.
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Another interesting observation was the presence of high levels of non-decarboxylated cannabinoids in multiple samples. It is well known that CBD and THC are not produced as such by the metabolism of the cannabis plant. Instead, cannabinoids are excreted in the form of carboxylic acids such as CBD-acid and THC-acid [52]. The physiological effects of these "acidic" cannabinoids have been studied only to a very limited extent. Only after proper heating (e.g., during smoking, vaporizing, or baking with cannabis) are these natural precursors rapidly converted into the more well-known CBD and THC, respectively. This process is called decarboxylation [52]. Although decarboxylation also takes place during the production of cannabis oils (e.g., during the evaporation of solvents, or during a separate decarboxylation step as part of the production process), 7/46 samples (15%) contained > 25% of its cannabinoid content in the form of acidic cannabinoids, indicating poor control over the decarboxylation process. To address the issue, some producers simply add up the content of CBD and CBD-acid in order to boast a higher "total CBD" content on the label, while advertising this as "raw CBD."
The Alchemist's Kitchen and Clover Grocery are high-end stores that cheerfully tell customers where they source their products from and only stock brands with similarly transparent sourcing. This CBD usually comes from cannabis plants farmed in Colorado or Oregon, or, increasingly, states not normally associated with the cannabis trade. EarthE CBD, a prominent online seller of CBD products, for example, sources from local farms in New Jersey; it also publishes lab results on its website showing that its products have been tested to have no THC and the amount of CBD the company says they should have.
Our CBD topical cream is legal nationwide and contains less than 0.3% THC. Our dedication to quality and customer satisfaction is what sets us apart from our competitors. We pay close attention to every detail and strive to provide our customers with the best CBD topical cream on the market. Try our CBD cream for sale and discover the natural healing powers of CBD!
Among beauty products alone, CBD has already achieved cliché status, popping up in blemish creams, sleeping masks, shampoos, hair conditioners, eye serums, anti-acne lotions, mascaras, massage oils, soaps, lip balms, bath bombs, anti-wrinkle serums, muscle rubs and a Sephora aisle's worth of moisturizers, face lotions and body creams. Even the bedroom is not safe from the CBD invasion, to judge by the spate of CBD sexual lubricants on shelves.
Hi Lauren I've just started today with 250mg cbd oil. I'm starting low to see what happens. I've nerve damage across buttocks from a laminectomy. I've not been able to sit for 5 years. I've recently started with a muscle spasm in my left buttock and the muscle above is painful. It is only the first day, also tried a cbd night time tea as well. Do change in muscle pain so tight on my left hand side. How long before felt it starting to work please. I'm trying not to expect changes straightaway. I also take 1100mg gabapentin and 30mg amitriptyline and I hate both of them - they both can cause muscle tightness affecting the nerve. Thank you Lyn
High-CBD strains can be smoked or vaporized for immediate effects with little to no high, depending on the strain's THC content. A strain may contain only trace amounts of THC for clear-headed relief, or it may have balanced levels of THC and CBD, delivering a mild high but potent relief. Explore the menu of your nearby dispensary for a full list of the offerings near you, or browse high-CBD strains on Leafly for an idea of popular varieties to look out for.
So far, I've found that in order to feel a marked improvement in pain relief, I need a high dose of CBD (which I have yet to determine due to the unavailability and expense). However, I have found that (edible) THC has allowed me to fall asleep faster and longer compared to prescriptions such as Ambian. It also gives me a feeling of well-being. I went from only sleeping 2-3 nights a week for no more than 4 hrs per sleep, to sleeping 8 hrs per night. This alone is worth using cannabis. As you know, lack of sleep can seriously impact your pain level.
CBD, or canabidiol is an amazingly useful plant compound that is extracted from the cannabis plant. With volumes of medical science now at its back, this compound has been used effectively for a wide range of needs. These particularly wide-ranging applications are the result of its being a part of the "pleiotropic sedate" group. Compounds in this group are especially unique in their ability to affect and travel along many of the typically closed atomic pathways.
CBD, one of the more than 100 chemicals in cannabis, is emerging as a popular wellness ingredient. The plant extract, often consumed as an oil under the tongue, is now the featured ingredient in high-end products including coconut oil, body lotion, face serum, olive oil, jam, bath scrub, cold-brew coffee, sports salve, lip balm, infused water, gummy snacks and dog treats. Products' prices vary but may cost about triple what their CBD-less counterparts do.
I've talked before how walking the aisles of the grocery store is one of my favorite pastimes. There's something incredibly soothing about being in my own little bubble, alone (hi, I'm an introvert), while also doing my bod some good by crafting a nourishing menu for the week. Further, Erewhon Market, L.A.'s iconic, super-healthy-eating pit stop, is my ultimate mecca. It was there that I discovered my first gateway into the land of CBD-concocted sips. On the search for a quick hit of caffeine, I was scanning the wall of cold-brew potions when my eyes landed on Kickback, sweetly bottled tea and coffee brews spiked with a strategic amount of CBD. With five different enticing flavor profiles to choose from, I ultimately landed on Coffee Date, a delicious and ultra-clean melding of organic coffee, organic coconut milk, organic date syrup (a healthier, non-refined sweetener), and, of course, extracted hemp. Numerically speaking, one bottle contains a perfectly proportioned balance of caffeine (80 milligrams) and CBD (20 milligrams). Slightly nervous, I bagged it and headed to the checkout.
McGuire published his own study in August, in which CBD was shown to reduce psychotic episodes in people with schizophrenia. The daily dose was 1,000mg of pure CBD. And a study in which CBD seemed to ease anxiety, published in Nature in 2011, administered a single dose of 600mg, an hour and a half before giving participants a public speaking task. These larger doses contrast with that found in, say, Botanical Labs' CBD drink. Rebekah Hall, the company's founder, says her drink is for recreational rather than medicinal purposes and "the amount of CBD per batch is constant and precise, at 2mg per bottle". A daily dose of two hemp capsules made by Nature's Plus offers 15mg of mixed "plant cannabinoids" without a specific CBD count.
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Graduation season is here, and the class of 2018 is ready for the summer. Get out there and celebrate with them, hear what the students have to say, and wish them well. Below are the dates for our local commencement ceremonies.
Amagansett School: Friday, June 22, 9 a.m.
Bridgehampton School: prekindergarten, Thursday, June 21, 10 a.m.; high school, Sunday, June 24, 4 p.m.
East Hampton High School: Friday, June 22, 6 p.m.
East Hampton Middle School: Wednesday, June 20, 7 p.m.
John Marshall Elementary School: Thursday, June 21, 9 a.m.
Montauk School: prekindergarten, Tuesday, June 19, 11 a.m.; eighth grade, Thursday, June 21, 6 p.m.
Pierson High School: Saturday, June 23, 5-6:30 p.m.
Sagaponack School: Friday, June 22, 9 a.m.
Springs School: prekindergarten on Friday, June 15, 10 a.m., Most Holy Trinity Catholic Church in East Hampton; eighth grade, East Hampton High School auditorium, Thursday, June 21, 6 p.m.
Wainscott School: Friday, June 22, 8:30 a.m.
The Ross School's graduation was held on June 9.


text: Insight Guides - Great Breaks Cotswolds by Insight Guides £7.99 In stockWant it on Wednesday, 20th February? Place your order within 12 hrs 52 mins and select Nominated Delivery at the checkout. Quantity: Add to bag Add to wishlist Share View all Travel Books & GuidesView all Books Available for Click & Collect Gift Wrap Fast Delivery Contact Us Product details Author: Insight GuidesPaperback You can enjoy a pint of beer in a classic pub in Bourton-on-the-Water, drive through the gorgeous rolling hills of Evesham or sample scones and tea in Painswick with Great Breaks Cotswolds - the perfect guide to finding your way around this area of outstanding natural beauty. Eight easy-to-follow tours around the area take in the most popular sights as well as hidden corners away from the crowds; all are illustrated with vivid photography, clear maps and suggestions for places to eat and drink en route. We explore key aspects of the region's rich history and culture to help you immerse yourself in the delightfully slow pace of Cotswold life. Travel tips help you find unique places to stay and offer practical advice for getting there and travelling around. This is a handy pocked-sized guide that's packed full of information and ideas. Publisher: Insight GuidesISBN: 9781786717856 Delivery Delivery We aim to dispatch all items which are in stock on the same working day when orders are received by 2PM. Orders are sent with either Royal Mail or Parcelforce. Parcelforce normally offer a one hour delivery window via SMS or Email. Our Delivery Charges England, Wales & Southern Scotland Orders under £40 £3.50 Usually within 2-5 days Orders over £40 FREE Usually within 2-5 days Nominated day or Saturday delivery* £6.00 Select your day, on orders placed before 14:00 Click & Collect Furniture FREE FREE Same day at our Norwich stores on orders placed before 14:00 Expected within 5 weeks Scottish Highlands, Channel Islands and Northern Ireland View postcodes in this bracket All orders £5.00 Usually within 2-5 days Nominated day or Saturday delivery Furniture N/A N/A Unavailable to these postcodes Overseas (any non-UK address) At present we do not deliver overseas. Gift Cards, Book Tokens and Event Tickets £1.95 Furniture Small and flat packed items will be sent via Parcelforce, Direct Distribution or via our delivery vans. Large items will be sent by our specialist 2 man delivery partners. The delivery company will contact you within 7 days to organise delivery of your items. The delivery service includes an E-mail, SMS or call to advise a date and a 4 hour time slot for delivery. Crews will call 30 minutes prior to delivery and deliver to a room of choice, unpack and take away packaging. If you require assembly of your items then this can be arranged for an additional charge and you will need to speak to our team to arrange this. Please read our furniture Terms and Conditions here before you order. Delivery times: Orders in Norfolk and Suffolk will be approx 2-3 weeks Orders to the rest of the UK will approx 3-5 weeks We cannot deliver furniture to Northern Ireland Island, Scottish Islands and Channel Islands For more details on delivery please click here. Returns STANDARD RETURNS POLICY Please note that these terms apply to products purchased through our website only. You may cancel your order for any reason at any time prior to dispatch and make returns up to 30 days after receipt of your goods. You have the right to cancel this contract within 14 days without giving any reason. To cancel your order prior to dispatch please telephone the Internet Order Help Desk on 01603 697150 or e-mail firstname.lastname@example.com. Click here for our cancellation policy Refunds Refunds will be against the card used to make the original payment following inspection of the returned goods, normally with in 7 working days. Return documentation is included with the goods when dispatched to you. We recommend that a verifiable method of return delivery is used, as proof of posting cannot be taken as proof of receipt. Please see our Returns Policy for items which are exempt from the right to cancel If goods are not returned and received by us in perfect condition we reserve the right to withhold or refuse any refund, pending enquiry, and/or make only a part refund Returning Furniture Please be aware that furniture purchased in store at Jarrold is exempt from the above terms. Please contact a member of our Furniture team on 01603 697258 who will be pleased to explain the terms and conditions of furniture purchases. Returns Postage Responsibility Please note that unless your item is faulty, or delivered in error, you are responsible for the cost of the postage back to us. This is in accordance with the Distance Selling Regulations Please click here to see products which are exempt from the right to cancel Recently viewed items Insight Guides - Great Breaks Cotswolds by Insight Guides 1 x £125.00 Subtotal Continue shopping Checkout now Insight Guides - Great Breaks Cotswolds by Insight Guides Click image to zoom 55f8409887bb3843cc266a1eInsight Guides - Great Breaks Cotswolds by Insight Guideshttps://www.jarrold.co.uk/departments/books/travel-books-$4-guides/insight-guides-$9-great-breaks-cotswolds-by-insight-guideshttps://www.jarrold.co.uk/userdata/root/images/products/other/24/210/insight-guides-great-bre-3.jpg?w=5007.99GBP2018-08-22InStock/departments/books/travel-books-$4-guides144355157.997.99https://www.jarrold.co.uk/departments/books/travel-books-$4-guides/insight-guides-$9-great-breaks-cotswolds-by-insight-guides?sku=14435515https://www.jarrold.co.uk/userdata/root/images/products/other/24/210/insight-guides-great-bre-3.jpg?w=500InStock


text: Once the Jamaica home of renowned author Ian Fleming, GoldenEye was developed by Island Records founder, Chris Blackwell, and opened as a resort in 2011. Since then, the lush, 52-acre property has appeared in countless lifestyle magazines. Distinctive property features include private beaches, secret coves, a seawater lagoon and The Fleming Villa (where all 14 James Bond books were written). There are two restaurants (The Gazebo and Bizot Bar), a unique FieldSpa and accommodations that include one- and two-bedroom Beach and Lagoon Villas, Lagoon Cottages and an ocean front villa. In February 2016, Blackwell expanded his vision for GoldenEye with the addition of 26 Beach Huts, a seaside bar and rooftop terrace, pool area, snorkeling cove and bay-side beach, grill shack and drink stand. GoldenEye is located 20 minutes east of Ocho Rios. It's 90-minutes by car from Montego Bay Airport and an eight-minute drive from Ian Fleming International (private aviation only).


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Lincoln Theatre Company brings "Oklahoma" to the Lincoln Civic Auditorium Feb. 16 through March 3.
The classic Rodgers and Hammerstein musical features two newcomers, Donovan McNeely as Curly and Kelsie Fairchild as Laurie.
Other major roles are filled by Tabitha Jones, Brandon Hunter and Rev. Rob Pesola from Lincoln's United Methodist Church.
The cast includes adults and youth from the Sacramento region as well as many Lincoln residents.
The original Broadway production opened on March 31, 1943 and ran for 2,212 performances, closing on May 29, 1948.
Based on the original Broadway production, Lincoln Theatre Company's production includes "Surrey With The Fringe On Top," "People Will Say We're In Love," "I Can't Say No," "Oh What A Beautiful Morning" and "Oklahoma" songs.
Choreographer is Jeff Teague and background projections were created by John Roebeck from the Art League of Lincoln.
The show runs Feb. 16, 17, 18, 23, 24, 25, March 2 and March 3.
Tickets are available online at lincolntheatrecompany.org or by calling the box office at 409-7030. Prices are $17.50 and $19.50 per ticket and special pricing for groups.
The Lincoln Civic Auditorium is at 511 5th St.


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Admission procedure for D.El.Ed.
This two years course offered by CPSM College of Education is also recognised by NCTE Jaipur and the State Council for Educational Research and Trainee (SCERT) Gurgaon. The conditions of eligibility (+2 with Hindi Sanskrit Language)admission procedure, fee structure are usually laid down by SCERT whereas examination of this course is conducted by Haryana Board of School Education, Bhiwani.The admission to this course is opened for all India level. The details of the same may be searched on Haryana Board of School Education website and SCERT Website www.hbse.nic.in and www. scertharyana.in


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a film by
Frederick Wiseman
Located in mid-America, MONROVIA, INDIANA, (population 1,400), founded in 1834, is primarily a farming community. The film is about the day-to-day experiences living and working in Monrovia, with emphasis on community organizations and institutions, religion and daily life in this farming community.
Production: Civic Film
World Sales : Doc & Film
Venise 2018 – Out of competition


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I was really sorry to miss the opening of Art Quilt Elements in Wayne, Pennsylvania, on St. Patrick's Day. Although this is the first time I've had a quilt in the show, I been to the Wayne Art Center to see previous shows, and I know that it is always a fabulous collection of art quilts.
Luckily my friend Sarah Entsminger was able to attend. And she was kind enough to send me a few pictures:
|Susan Lenz's "Large Stained Glass LXXXI," my quilt, Aryana Londir's "Red Flag"
|A view of the a portion of the main gallery.
|Banded Iron Formation #1


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