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Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

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People--things and data--ideas: bipolar dimensions?

Louis Tay¹, Rong Su, James Rounds

¹Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA. sientay@illinois.edu

Journal of Counseling Psychology

|June 7, 2011

Summary

This summary is machine-generated.

Vocational psychology

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Area of Science:

Vocational psychology
Psychometrics
Career development

Background:

A core assumption in vocational psychology posits that interest dimensions are bipolar.
Specifically, the 'people-things' and 'data-ideas' constructs are often treated as opposing ends of a single continuum.

Purpose of the Study:

To empirically test the bipolarity assumption of vocational interest dimensions.
To evaluate the structure of vocational interests using established criteria for bipolarity.

Main Methods:

A meta-analysis of 26 interest inventories (N=1,008,253).
Structural equation modeling (SEM) on two large datasets (N=13,939 and N=1,061).
Two-way clustering analysis of respondents and items.

Main Results:

Meta-analytic correlations between opposite RIASEC types were mostly non-negative (range: -.03 to .18).
Corrected correlations rarely approached the proposed bipolarity threshold of -.40.
SEM analyses indicated that bipolar models fit worse than multi-factor models.
Clustering revealed individuals with interests in both 'people' and 'things'.

Conclusions:

The longstanding assumption of bipolar vocational interest dimensions is not supported by empirical evidence.
A multi-factor representation of vocational interests provides a better fit to the data.
Findings have implications for career counseling, interest measure interpretation, and occupational coding.