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Robin K Henson

Publications and source records attributed to Robin K Henson.

4 recordsLinked to original sources

Conducting and interpreting canonical correlation analysis in personality research: a user-friendly primer.

The purpose of this article is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be rather easily conceptualized as a method closely linked with the more widely understood Pearson r correlation coefficient. An understanding of CCA can lead to a more global appreciation of other univariate and multivariate methods in the GLM. We attempt to demonstrate CCA with basic language, using technical terminology only when necessary for understanding and use of the method. We present an entire example of a CCA analysis using SPSS (Version 11.0) with personality data.

Analysis of Variance↗

Sample homogeneity and coefficient alpha: comment on MJI and Alkhateeb's reliability generalization study and a theoretical clarification.

Reliability generalization studies are increasingly frequently reported in the literature, including Mji and Alkhateeb's 2005 study of the Conceptions of Mathematics Questionnaire. The present article comments on an issue of reliability generalization as used in that study and clarifies a theoretical point regarding the meaning of coefficient alpha and what data features tend to influence it as a measure of score reliability.

Generalization, Psychological↗

Expanding reliability generalization: confidence intervals and Charter's combined reliability coefficient.

Methods of reliability generalization characterize the reliability of a scale's scores across studies. Charter in 2003 presented useful formulae for computing combined estimates of reliability. The present article illustrates use of Charter's formulae and application of confidence intervals for reliability coefficients, including the combined estimate. Researchers may find these methods for reliability generalization useful.

Confidence Intervals↗

Evaluating the appropriateness of college-age norms for use with adolescents on the NEO personality inventory-revised.

The NEO Personality Inventory-Revised (NEO PI-R) measures normal personality characteristics and has demonstrated appropriate score reliability and validity. It is normed for two groups of individuals, college-age individuals 17 to 20 years old and adults 21 and older. Often, personality instruments normed on older individuals have been used with adolescent populations. To examine the appropriateness of this decision, the current study explored the differences between an adolescent sample (n = 79) and a college-age sample (n = 80) on the 30 facets and the five domains of the NEO PI-R. Group differences on the facet and domain scales were analyzed using descriptive discriminant analysis. Results indicated that the adolescent and college groups differed on each of the five domains. As expected, the groups also scored differently using the aggregated domain-level variables as the outcome measures. Suggestions for future research include the development of normative data for the adolescent population.

Adolescent↗