Research Methods for Organizational Studies

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.

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Research Methods for Organizational Studies

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.

48.99 In Stock
Research Methods for Organizational Studies

Research Methods for Organizational Studies

by Donald P. Schwab
Research Methods for Organizational Studies

Research Methods for Organizational Studies

by Donald P. Schwab

eBook

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Overview

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.


Product Details

ISBN-13: 9781135704919
Publisher: Taylor & Francis
Publication date: 06/17/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 360
File size: 6 MB

About the Author

Schwab, Donald P.

Table of Contents

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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