Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology

@article{Quintana1999ImplicationsOR,
  title={Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology},
  author={Stephen M. Quintana and Scott E. Maxwell},
  journal={The Counseling Psychologist},
  year={1999},
  volume={27},
  pages={485 - 527}
}
We review recent developments in structural equation modeling (SEM) since Fassinger’s (1987) introductory article. We discuss issues critical to designing and evaluating SEM studies. Our review includes recent technological developments in SEM such as new approaches from hypothesis testing to determining statistical power and assessing model fit. Moreover, we discuss innovations in applying SEM to different research contexts and designs (e.g., experimental and longitudinal designs and… 

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References

SHOWING 1-10 OF 76 REFERENCES

Analyzing data from experimental studies: A latent variable structural equation modeling approach.

This article illustrates the use of structural equation modeling (SEM) procedures with latent variables to analyze data from experimental studies. These procedures allow the researcher to remove the

Modeling Developmental Processes Using Latent Growth Structural Equation Methodology

Recent advances in latent growth modeling allow for the testing of complex models regarding develop mental trends from both an inter- and intra-individual perspective. The interpretation of model

Latent growth curves within developmental structural equation models.

A longitudinal model that includes correlations, variances, and means is described as a latent growth curve model (LGM) that allows hypothesis testing of various developmental ideas, including models of alternative dynamic functions and models of the sources of individual differences in these functions.

Multivariate group comparisons of variable systems: MANOVA and structural equation modeling.

Multivariate analysis of variance (MANOVA) and structural equation modeling (SEM) are compared as alternative approaches to the detection of multivariate mean differences in betweengroups designs.

Development and factor structure of the Cross-Cultural Counseling Inventory—Revised.

This article presents the development and preliminary validation of the Cross-Cultural Counseling Inventory (CCCI), a measure based on the American Psychological Association Division 17 Educa-) tion

Common Problems/Proper Solutions: Avoiding Error in Quantitative Research

This chapter discusses discrete data models with unobserved Variables, and some common problems in Log-Linear Analysis.

Model modifications in covariance structure analysis: the problem of capitalization on chance.

Results demonstrate that over repeated samples, model modifications may be very inconsistent and cross-validation results may behave erratically, leading to skepticism about generalizability of models resulting from data-driven modifications of an initial model.

Using covariance structure analysis to detect correlates and predictors of individual change over time

Recently, methodologists have shown how two disparate conceptual arenas—individual growth modeling and covariance structure analysis—can be integrated. The integration brings the flexibility of

Statistical difficulties of detecting interactions and moderator effects.

It is demonstrated that the differential efficiency of experimental and field tests of interactions is also attributable to the differential residual variances of such interactions once the component main effects have been partialed out.

The Status of the Counseling Relationship

The quality of the counseling relationship has consistently been found to have the most significant impact on successful client outcome. Yet the definition and critical components of a quality
...