A pragmatic guide to performing meaningful qualitative analysis This text helps students and social service personnel better evaluate agency programs using the various qualitative documents (such as case intake forms and case progress notes) already at their disposal. Author Vincent E. Faherty shows readers not just what to do with qualitative data, but also how they should interpret the meanings. This text begins by examining the requisite knowledge and skills needed to design and execute a comprehensive research or evaluation report based using qualitative data. It then offers guidance on writing up the final report and disseminating the results to the wider community. Key Features The Qualitative Data Analysis Model, a non-computer based method of data analysis, takes readers through the research process in order to gain a complete picture of the agency's performance Case examples of published journal articles from SAGE contain margin notes and introductory and conclusive remarks The author applies the conceptual material to pragmatic, agency-based situations that would be relevant for a broad range of human service professions and disciplines. Anyone in a managerial role with a community-based social agency-as well as social work undergraduate and graduate students-will benefit from this straightforward guide.
A pragmatic guide to performing meaningful qualitative analysis This text helps students and social service personnel better evaluate agency programs using the various qualitative documents (such as case intake forms and case progress notes) already at their disposal. Author Vincent E. Faherty shows readers not just what to do with qualitative data, but also how they should interpret the meanings. This text begins by examining the requisite knowledge and skills needed to design and execute a comprehensive research or evaluation report based using qualitative data. It then offers guidance on writing up the final report and disseminating the results to the wider community. Key Features The Qualitative Data Analysis Model, a non-computer based method of data analysis, takes readers through the research process in order to gain a complete picture of the agency's performance Case examples of published journal articles from SAGE contain margin notes and introductory and conclusive remarks The author applies the conceptual material to pragmatic, agency-based situations that would be relevant for a broad range of human service professions and disciplines. Anyone in a managerial role with a community-based social agency-as well as social work undergraduate and graduate students-will benefit from this straightforward guide.
Applied Quantitative Analysis for Social Services (With exercises and instructions in SPSS)
Compassionate Statistics: Applied Quantitative Analysis for Social Services (With Instructions for SPSS 14.0) is an attempt to "de-mythologize" a content area that is both essential for professional social service practitioners, yet dreaded by some of the most experienced among them. Using friendly, straightforward language as well as concrete illustrations and exercises from social service practice, author Vincent E. Faherty catapults students and experienced professionals to a pragmatic level where they can handle quantitative analysis for all their research and evaluation needs. Key Features Provides comprehensive coverage of the most important aspects of quantitative analysis: This is a complete, yet pragmatic, resource for social service professionals to use standard descriptive and inferential statistical techniques. Offers an accessible format: Using unpretentious and plain language, this book introduces essential statistical procedures, one-at-a-time, in relatively short chapters in order to assist recall and facilitate new learning. Applies statistical content to social service practice situations: Concrete applications are drawn from counseling, criminal justice, human services, social work, therapeutic recreation and vocational rehabilitation. Presents case illustrations of how statistical material is reported in professional literature: Since social service professionals need to write up the results of their quantitative analysis, this book provides actual illustrations of how the various statistical procedures and tests are presented in published articles. Addresses the use of SPSS on each covered statistical procedure and test: Specific directions are given so students can use the latest version of SPSS to complete each assigned exercise. Includes in-chapter exercises: A series of realistic data sets that students can use to perform a number of planned exercises are offered in each chapter. Intended Audience This is an excellent core or supplemental text for a variety of advanced undergraduate and graduate courses such as Statistics for Social Services, Applied Statistics, Quantitative Analysis for Social Services, Statistics for Social Work, Social Science Research, Research Methods, Program Evaluation, and Grant Writing in the departments of counseling, human services, social services, social work, therapeutic recreation, and vocational rehabilitation.
