How Do Social Workers Use Statistics
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Statistics in Social Work
Author: Amy Batchelor
language: en
Publisher: Columbia University Press
Release Date: 2019-11-19
Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
Statistics for Social Workers
Author: Robert W. Weinbach
language: en
Publisher: Addison Wesley Publishing Company
Release Date: 1998
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
Statistics and Data Interpretation for Social Work
Author: James Rosenthal
language: en
Publisher: Springer Publishing Company
Release Date: 2011-12-16
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