{'fraction_non_alphanumeric': 0.013634732687477575, 'fraction_numerical': 0.0, 'mean_word_length': 5.223214285714286, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Book Review: Data Analysis for the Behavioural Sciences Using SPSS

This text makes a useful contribution to the available literature on statistical data analysis for the behavioural sciences as well as providing an innovative approach to the presentation ofsuch material. The authors successfully integrate instructions for the practical use of SPSS into a thorough and detailed statistical text that fluidly allows the focus to shift away from the calculations proper, towards a rich understanding and interpretation of the annotated statistical procedures. The text is not strictly an instruction manual for SPSS, but it does provide the reader with some simple guidelines for the operation of the software. As such, a reader equipped with a basic understanding of SPSS operation, and who is simultaneously working through statistical theory, will be able to follow the instructions and produce the appropriate results. However, the descriptions are not sufficiently detailed to serve as an introduction to the SPSS package for a novice user of the package. The text begins at the level of an undergraduate course in statistics (for the behavioural sciences) and covers the univariate material typical of the content of most undergraduate psychology texts. It also has a comprehensive section on multiple regression. While the pitch and level of the content may be considered appropriate for undergraduate and postgraduate students, there may not be sufficient breadth for a typical honours level course. The text focuses on the interpretation and meaning of the procedures and results rather than the intrinsic processes ofcalculation. The text does, however, retain many ofthe mathematical explanations and formulae needed for such calculations. As such, an individual not well versed in mathematics may well find the explanations too detailed and mathematically-oriented. The authors attempt to provide an easy-to-read and yet comprehensive coverage ofeach method. The unfortunate consequence is that text is bulky and may possibly prove intimidating to the average student. A major strength of the text is its focus on practical issues in the application of statistical methods. Importantly, it highlights the assumptions underpinning each method, how to examine them in SPSS, and what to do in cases where the assumptions are violated. The authors also attempt to move beyond simply examining statistical significance by providing some detail on effect size measures and the processes required for the provision of an interpretation. The text makes constant use of illustrative examples along with the results as produced by the SPSS system. The reader is guided through the printouts and helped to understand how they should be read and interpreted. At times, this becomes a bit