Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

The results of a content analysis of the articles published in the leading counseling journal, "Journal of Counseling & Development", between 2002 and 2010 are presented. The authors present a brief description of mixed research to encourage counseling researchers to explore mixed research as a viable research tool. (Contains 3 tables and 1…

This study provides a detailed analysis of all race-related articles published in prominent counseling journals between 1995 and 2004. Findings indicate that 75% of articles did not define race variables and in the absence of an operational definition, authors tended to conceptualize race as an inherent biological variable. (Contains 3 tables.)

Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…

Describes two strategies for assessing measures of practical fit and the goodness of fit from structural equation models. Focuses on linear structural relations (LISREL), chi-square fit index, practical fit indices, and hierarchical analyses. Includes empirical example of hierarchical model procedures used with practical and statistical indices to…

Presented is a detailed description of two true score confidence interval approaches, their use, interpretation, and a philosophical conflict that arises in many applied instances. (Contains 27 references.) (Author)

Presents procedures for reducing attrition in clinical research and provides a case study for examination by researchers. Includes lists of preventative strategies and statistical methodologies to reduce attrition and bias. Argues that early planning for attrition by adjusting sample sizes is a scientifically sound approach to clinical research…

Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…