Statistics For Social Workers Instructor S Manual

Written by social workers for social work students, Statistics for Social Workers, 4/e, focuses on the kinds of statistical analysis most often used by social workers. As a result, students are able to use statistics in their everyday work in order to become more effective practitioners. Weinbach & Grinnell avoid the heavy use of mathematical formulae & present statistics in a highly accessible, user-friendly format that helps students understand, appreciate, & make use of statistics in refining their helping skills. NEW FEATURES- * New chapter on sampling distributions & expanded coverage of hypothesis testing. * Additional case examples throughout the text vividly illustrate concepts & provide students with a useful point of reference for understanding statistics. * Reorganized material to reflect the relationship between bivariate & multivariate analysis. CONTENTS 1. Introduction 2. Frequency Distributions & Graphs 3. Central Tendency & Variability 4. Normal Distributions 5. Introduction to Hypothesis Testing 6. Sampling Distributions & Hypothesis Testing 7. Selecting Statistical Tests 8. Correlation 9. Simple Linear Regression 10. Cross-Tabulation 11. t Tests & Analysis of Variance 12. Additional Parametric & Multivariate Tests References & Further Reading Glossary Appendices Index

This manual is intended to help instructors to make the Community Practice: Theories and Skills for Social Workers text a more effective tool for teaching. It includes suggested assignments to further build students' interest in and understanding of the material in the text.

This user-friendly text is designed specifically for social work students who are intimidated by the prospect of taking a Statistics course. With its engaging, conversational writing style and numerous examples and problems, social work students will quickly learn to understand and interpret both quantitative and qualitative data. The text's flexibility makes it suitable for a variety of teaching styles. Instructors who want their students to get the actual "feel" of computing a chi square can use the "Formula Alerts" to calculate certain statistics manually; other instructors may want students to use the step-by-step computer applications to produce the same results.

Conceptual and Practical Research and Statistics for Social Workers prepares students to intuitively theorize and utilize research and statistics within their social work practice. The book fosters the skills, savvy, and knowledge students need to interpret, apply, and produce studies within the discipline, enhancing their ability to become better consumers and producers of social work research. The book features two main sections, Research and Statistics, and its organization reflects the basic research process. The text begins with coverage of research questions and design and then introduces various data collection methods and instruments. Students then learn how to effectively analyze data and report and disseminate key findings. Throughout, readers build their understanding of methodological, ethical, and logical concepts in research and statistics, become familiar with basic needs assessment and program evaluation, develop the ability to choose appropriate statistics, and more. Employing everyday language, social work examples, metaphors, humor, and visual mapping, Conceptual and Practical Research and Statistics for Social Workers helps students tap into their critical thinking and problem-solving skills to develop key competencies. The text is an ideal resource for both undergraduate and graduate-level programs in social work.

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank