Statistics For International Social Work And Other Behavioral Sciences

Statistics for International Social Work and Other Behavioral Sciences presents statistics using straightforward, accessible language, making it easier for students of all backgrounds-particularly social work student undergraduates, graduates, and practitioners-to learn and apply statistical concepts, tools, and procedures. It focuses on the most commonly encountered statistical methods used by social workers, informed by the guiding teaching philosophy that to best understand statistics, students should be presented with a progression of concepts and calculations based on traditional manual computations as well as modernized computerized analysis tools. This book is also unique in that it includes: appendices specifically designed to provide instructions on preparing data for data entry, construct variable names, and data analysis-using SPSS; guidelines to nonparametric statistics and post hoc comparisons; and a focus on Microsoft Excel ToolPak. The text is a must-have for social work students eager to sharpen their statistical skills while gaining familiarity with state-of-the-art statistical software programs.

Statistics for International Social Work And Other Behavioral Sciences presents statistics using straightforward, accessible language, making it easier for students of all backgrounds -- particularly social work student undergraduates, graduates and practitioners -- to learn and apply statistical concepts, tools, and procedures. The book incorporates two powerful statistical software programs, Statistical Package for the Social Sciences (SPSS) and Microsoft Excel ToolPak, into statistical computations. The course contents have been organized pedagogically in an order that allows students to view the progression of concepts and hand calculations in conjunction with computerized statistical analysis tools. Furthermore, this text is unique in that it includes appendices specifically designed to provide instructions on preparing data for data entry, construct variable names, and data analysis-using SPSS; present guidelines to nonparametric statistics and post hoc comparisons; and focus on Microsoft Excel ToolPak, which is available in most personally owned computers and handheld devices such as tablets and smart phones. The book also includes robust instructor and student materials via a companion website.

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Fully revised and updated, the second edition of the International Encyclopedia of the Social and Behavioral Sciences, first published in 2001, offers a source of social and behavioral sciences reference material that is broader and deeper than any other. Available in both print and online editions, it comprises over 3,900 articles, commissioned by 71 Section Editors, and includes 90,000 bibliographic references as well as comprehensive name and subject indexes. Provides authoritative, foundational, interdisciplinary knowledge across the wide range of behavioral and social sciences fields Discusses history, current trends and future directions Topics are cross-referenced with related topics and each article highlights further reading

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results. Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that help students fully grasp the content of each chapter.

[Généralités (sh) ; Sociologie].

Statistics for Social Work with SPSS provides readers with a user-friendly, evidence-based, and practical resource to help them make sense of, organize, analyze, and interpret data in contemporary contexts. It incorporates one of the most well-known statistics software applications, the Statistical Package for the Social Science (SPSS), within each chapter to help readers integrate their knowledge either manually or with the assistance of technology. The book begins with a brief introduction to statistics and research, followed by chapters that address variables, frequency distributions, measures of central tendency, and measures of variability. Additional chapters cover probability and hypothesis testing; normal distribution and Z score; correlation; simple linear regression; one-way ANOVA; and more. Each chapter features concise, simple explanations of key terms, formulas, and calculations; study questions and answers; specific SPSS instructions on computerized computations; and evidence-based, practical examples to support the learning experience. Presenting students with highly accessible and universally understandable statistical concepts, Statistics for Social Work with SPSS is an ideal textbook for undergraduate and graduate-level courses in social work statistics, as well as research-based courses within the social and behavioral sciences.