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Nature Sep 2023
Topics: Industry; Career Mobility; Research Personnel; Vocational Guidance
PubMed: 37723289
DOI: 10.1038/d41586-023-02908-8 -
Nursing Standard (Royal College of...
Topics: Clinical Competence; Counseling; Humans; Mentors; Nursing Staff; Preceptorship; Vocational Guidance
PubMed: 20306845
DOI: 10.7748/ns2010.02.24.25.59.c7563 -
Mental Hygiene Jul 1953
Topics: Humans; Organizations; Parents; Vocational Guidance
PubMed: 13086631
DOI: No ID Found -
AN EXAMINATION OF SELECTED PRE-VOCATIONAL TECHNIQUES UTILIZED IN PROGRAMS FOR THE MENTALLY RETARDED.Mental Retardation Aug 1963
Review
Topics: Education of Intellectually Disabled; Humans; Persons with Mental Disabilities; Psychological Tests; Vocational Guidance
PubMed: 14058526
DOI: No ID Found -
The Journal of Applied Psychology Oct 1950
Topics: Attitude; Humans; Veterans; Vocational Guidance; Work
PubMed: 14784460
DOI: 10.1037/h0058865 -
Journal of Abnormal and Social... Mar 1960
Topics: Fear; Humans; Motivation; Occupations; Vocational Guidance
PubMed: 14419965
DOI: 10.1037/h0047588 -
Rassegna Di Medicina Industriale E Di... 1955
Topics: Humans; Orientation; Vocational Guidance
PubMed: 14395526
DOI: No ID Found -
Semaine Medicale Professionelle Et... Feb 1958
Topics: Finland; Head; Hemorrhage; Skull; Vocational Guidance; Warfare
PubMed: 13543408
DOI: No ID Found -
Journal of Counseling Psychology Jul 2011We examined a longstanding assumption in vocational psychology that people-things and data-ideas are bipolar dimensions. Two minimal criteria for bipolarity were... (Meta-Analysis)
Meta-Analysis
We examined a longstanding assumption in vocational psychology that people-things and data-ideas are bipolar dimensions. Two minimal criteria for bipolarity were proposed and examined across 3 studies: (a) The correlation between opposite interest types should be negative; (b) after correcting for systematic responding, the correlation should be greater than -.40. In Study 1, a meta-analysis using 26 interest inventories with a sample size of 1,008,253 participants showed that meta-analytic correlations between opposite RIASEC (realistic, investigative, artistic, social, enterprising, conventional) types ranged from -.03 to .18 (corrected meta-analytic correlations ranged from -.23 to -.06). In Study 2, structural equation models (SEMs) were fit to the Interest Finder (IF; Wall, Wise, & Baker, 1996) and the Interest Profiler (IP; Rounds, Smith, Hubert, Lewis, & Rivkin, 1999) with sample sizes of 13,939 and 1,061, respectively. The correlations of opposite RIASEC types were positive, ranging from .17 to .53. No corrected correlation met the criterion of -.40 except for investigative-enterprising (r = -.67). Nevertheless, a direct estimate of the correlation between data-ideas end poles using targeted factor rotation did not reveal bipolarity. Furthermore, bipolar SEMs fit substantially worse than a multiple-factor representation of vocational interests. In Study 3, a two-way clustering solution on IF and IP respondents and items revealed a substantial number of individuals with interests in both people and things. We discuss key theoretical, methodological, and practical implications such as the structure of vocational interests, interpretation and scoring of interest measures for career counseling, and expert RIASEC ratings of occupations.
Topics: Career Choice; Factor Analysis, Statistical; Female; Humans; Male; Occupations; Personality; Personality Inventory; Psychometrics; Vocational Guidance
PubMed: 21639616
DOI: 10.1037/a0023488 -
Revue de Neuropsychiatrie Infantile Et... 1963
Topics: Adolescent; Amblyopia; Blindness; France; Vision, Low; Vocational Guidance
PubMed: 14200564
DOI: No ID Found