Empirical Research Methods for Organizational Studies

ISBN-10: 0805829725
ISBN-13: 9780805829723
Edition: 1999
Authors: Donald P. Schwab
List price: $57.95
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Description: Beautifully written and thoroughly class-tested, this practical text provides students of management and organizational studies with clear guidelines for conducting real-world research. Unusually applied, it provides tools with which to do research  More...

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Book details

List price: $57.95
Copyright year: 1999
Publisher: Lawrence Erlbaum Associates, Incorporated
Binding: Paperback
Pages: 440
Size: 7.00" wide x 9.75" long x 1.25" tall
Weight: 1.980
Language: English

Beautifully written and thoroughly class-tested, this practical text provides students of management and organizational studies with clear guidelines for conducting real-world research. Unusually applied, it provides tools with which to do research (data sets and statistical software) and discusses application issues typically missing from other research texts--for example, cleaning data, addressing missing data, coding data, and transforming data. It also provides numerous exercises for solving applied research problems. Among the more notable features are the following:Organizing Model-Two organizing figures (carried throughout the text) imbue discussions with an unusual degree of clarity and coherence. The first illustrates the mutual relationship between the three main research activities-design, measurement, and analysis. The second illustrates how conceptual validity is the major criterion for evaluating empirical research outcomes and procedures.Flexibility-This book accommodates the wide variation in background that students bring into this course. In addition to the first 15 chapters which introduce basic research topics, the final section contains four chapters that extend the discussion of some basic topic. These extension chapters make the text adaptable for doctoral level students.Statistics-In addition to an entire section on data analysis, discussions throughout take an applied data analysis perspective rather than a statistical one. Also, statistics is separated from statistical inference.Supplements-An instructor's manual contains the following elements for each chapter: chapter outlines, teaching objectives and ideas, answers to chapter questions, and additional questions and answers that can be used for tests. Many chapters also have exercises to reinforce material covered. A disk is available that contains cases and data for chapter exercises and for course projects. The disk also contains all of the Exhibits in the book in PowerPoint slides.

About the Author
Preface
Overview
Introduction
A Model of Empirical Research
Measurement: Understanding Construct Validity
Measurement Foundations: Validity and Validation
Measurement Applications: Research Questionnaires
Design: Addressing Internal Validity
Research Design Foundations
Design Applications: Experiments and Quasi-Experiments
Design Applications: Field Studies and Surveys
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
Statistical Validation
Statistical Inference Foundations
Statistical Inference Applications
Generalization: Addressing External Validity
External Validity
Research Reports
Research Report Writing
Extensions
On Incomplete Data
On Reliability
On Multicollinearity
On Multiple Correlation and Regression Modeling
Glossary
References
Author Index
Subject Index

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