Serge Lee

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.

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.

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.