ABSTRACT

The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.  

chapter 1|25 pages

Introduction

1Transforming Our Field by Transforming its Methods

part 1|204 pages

Statistical Analysis

chapter 5|24 pages

Latent Class Procedures

Recent Development and Applications

chapter 6|37 pages

Spurious Relationships in Growth Curve Modeling

The Effects of Stochastic Trends on Regression-Based Models

chapter 7|32 pages

Data Mining

A Practical Introduction for Organizational Researchers

part 2|251 pages

Research Design and Measurement

chapter 9|53 pages

Doing Research with Words

Qualitative Methodologies and Industrial/Organizational Psychology

chapter 12|23 pages

Petri Nets

Modeling the Complexity of Modern Jobs