Depression and Aggression in Family Interaction

By Gerald R. Patterson | Go to book overview

10
Method Variance in Structural Equation Modeling: Living with "Glop"

L. Bank

T. Dishion

M. Skinner

G. R. Patterson

Oregon Social Learning Center

In the past 10 years there has been a marked increase in the use of structural equation modeling (SEM) in the study of family processes and their outcomes. As articulated by Martin ( 1987), SEM is not a panacea for the ambitious investigator, and of course, does not alleviate interpretive problems resulting from poor quality data, sampling biases, or internal validity problems resulting from faulty study design. On the other hand, SEM has a number of clear and far-reaching advantages. It does not require that error terms be uncorrelated among the independent and dependent variables. In fact, with SEM the question can be addressed statistically. In addition, both the measurement and causal models can be estimated simultaneously, thereby increasing our understanding of both aspects of model building and how they might interact. Thus, a more thorough understanding of the data as they relate to the confirmation or disconfirmation of theoretical hypotheses is possible. Furthermore, relatively complex theoretical structures can be posited and tested, while in a very real sense maintaining experiment-wise alpha levels at known and acceptable rates.

The analytic versatility of SEM also provides an opportunity to examine issues that have long haunted psychological researchers, such as the issue of how measurement method determines the outcomes to a research enterprise. For example, if one defines both the independent and dependent variable with a common measure (e.g., observer impressions or self-report) in a structural model, the estimated effect coefficient is much higher than when the variables are defined by nonoverlapping indicators. For example, reviews by Rutter ( 1979) and Emery ( 1982) showed consistent correlations between reports of marital discord and child adjustment problems. However as pointed out in a later study by Emery and O'Leary ( 1984), in most of these studies the same person (usually

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Depression and Aggression in Family Interaction
Table of contents

Table of contents

  • Title Page iii
  • Contents v
  • Preface xi
  • References xiv
  • 1: The Family Research Consortium: At the Crest of a Major Wave? 1
  • 2: Developmental Epidemiological Framework for Family Research on Depression and Aggression 11
  • References 46
  • 3: Methodological Issues in the Study of Family Violence 49
  • Conclusion 70
  • Acknowledgments 71
  • References 72
  • 4: How Marriages Change 75
  • ACKNOWLEDGMENT 99
  • References 100
  • 5: A Contextual Approach to the Problem of Aversive Practices in Families 103
  • Conclusion 123
  • ACKNOWLEDGEMENTS 124
  • References 124
  • 6: Statistical Methods for Analyzing Family Interaction 131
  • Summary 165
  • Acknowledgments 165
  • References 166
  • 7: Family Environments of Depressed and Well Parents and Their Children: Issues of Research Methods 169
  • Conclusion 182
  • Acknowledgments 183
  • References 183
  • 8 - Maternal Depression, Marital Discord, and Children's Behavior: A Developmental Perspective 185
  • Acknowledgments 204
  • References 204
  • 9: Initiation and Maintenance of Process Disrupting Single- Mother Families 209
  • Acknowledgments 242
  • References 243
  • 10: Method Variance in Structural Equation Modeling: Living with "Glop" 247
  • References 276
  • 11: Reflections: A Conceptual Analysis and Synthesis 281
  • References 312
  • Author Index 315
  • Subject Index 325
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