This revision of a best selling research methods textbook introduces social science methods as applied broadly to the study of issues that arise as part of organizational life. These include issues involving organizational participants such as managers, teachers, customers, patients and clients, and transactions within and between organizations.
In this new edition, chapter 19 now focuses on describing the modeling process and outcomes. An entirely new chapter 20 now addresses challenges to modeling. It goes substantially beyond a discussion of statistical inference. It also discusses issues in interpreting variance, explained estimates, and standardized and unstandardized regression coefficients. A new capstone chapter 21 helps students recognize good research. This textbook is accompanied by an Instructor's Manual for course use.
"The aspects of the book that I would highlight are the clarity and readability of the text and the structure and presentation of the material. Don Schwab writes using language that can be easily understood by individuals with minimal or no exposure to the topics covered."
—Ronald S. Landis
Contents: Preface. Part I: Overview. Introduction. A Model of Empirical Research. Part II: Measurement: Understanding Construct Validity. Measurement Foundations: Validity and Validation. Measurement Applications: Research Questionnaires. Part III: Design: Addressing Internal Validity. Research Design Foundations. Design Applications: Experiments and Quasi-Experiments. Design Applications: Field Studies and Surveys. Part IV: Analysis: Investigating Empirical Relationships. Data Analysis Foundations. Analysis Applications: Describing Scores on a Single Variable. Analysis Applications: Simple Correlation and Regression. Analysis Applications: Multiple Correlation and Regression. Part V: Statistical Validation. Statistical Inference Foundations. Statistical Inference Applications. Part VI: Generalization: Addressing External Validity. External Validity. Part VII: Research Reports. Research Report Writing. Part VIII: Extensions. On Incomplete Data. On Reliability. On Multicollinearity. On Casual Models and Statistical Modeling. On Statistical Modeling Challenges. On Good Research.
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