Development and initial validation of public domain Basic Interest Markers

Liao, Hsin Ya; Armstrong, Patrick Ian; Rounds, James

doi:10.1016/j.jvb.2007.12.002

Cited by 74 publications

(87 citation statements)

References 16 publications

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“…One direction to pursue would be a factor approach to vocational interests, such as the use of basic interest scales (BISs; Liao, Armstrong, & Rounds, 2008). We suggest that altemative techniques be developed for more accurate assessment of individual interests in career counseling.…”

Section: Practical Contributionmentioning

confidence: 99%

People–things and data–ideas: Bipolar dimensions?

Tay

Rounds

2011

Journal of Counseling Psychology

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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.

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Section: Practical Contributionmentioning

confidence: 99%

People–things and data–ideas: Bipolar dimensions?

Tay

Rounds

2011

Journal of Counseling Psychology

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“…This study aimed to develop and establish psychometric properties of the Pictorial Vocational Interest Inventory (PVII), a vocational interest inventory for Indonesian adolescents. The development of PVII was conducted according to Holland's theoretical constructs for it has been widely used in various development of interest instruments Fonteyne et al, 2016;Leierer et al, 2008;Liao, Armstrong, & Rounds, 2008;Maree & Taylor, 2016;Toker & Ackerman, 2012;Tracey, 2010;Wetzel et al, 2012). A good interest inventory must satisfy some psychometric properties, therefore, the psychometric properties of the PVII were investigated in this study.…”

Section: Objectivementioning

confidence: 99%

Development of Pictorial Vocational Interest Inventory for Adolescents

Nurcahyo

Azwar

Martani

et al. 2019

EJREP

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Introduction. This study aimed to develop and establish psychometric properties of the Pictorial Vocational Interest Inventory (PVII), a vocational interest inventory for Indonesian adolescents presented in the form of picture pairs, specially developed to represent Holland's theoretical constructs. Method.To obtain the evidence of test content, 31 experts judge the suitability of the PVII's pictures with the theory. Pictures with high Aiken's V index were selected and tested to the adolescents. The participants for PVII's testing were 826 high school students. The item analysis of PVII was performed for each interest type to select pictures with the corrected item-total correlation coefficient .30 or higher. Internal consistency and test-retest procedure were applied to obtain the reliability coefficients of the PVII. The construct validity for each type of interest was analyzed using Confirmatory Factor Analysis (CFA). Results.Based on Aiken's V index of .80 or higher, 24 pictures were selected each with corrected item-total correlation coefficients ranging from .31 to .68. Cronbach's Alpha coefficients ranged from .60 to .79, while the test-retest reliability ranged from .71 to .82. The result of CFA showed that the factor loadings of the PVII's pictures ranged from .40 to .82; all of the factor loadings were significant at p< .01. Conclusion.The findings of this study provide psychometrics support of the PVII as an adequate instrument to assess vocational interest in Indonesian adolescents. ResumenIntroducción. El objetivo de este estudio fue desarrollar y establecer las propiedades psicométricas del Pictorial Vocational Interest Inventory (PVII), un inventario de intereses vocacionales para adolescentes indonesios presentado en forma de pares de imágenes, especialmente desarrollado para representar los constructos teóricos de Holland.Método. Para obtener la validez de contenido de la prueba, 31 expertos juzgaron la idoneidad de las imágenes del PVII con la teoría. Las imágenes con alto índice de Aiken V fueron seleccionadas y probadas para los adolescentes. Los participantes para las pruebas de PVII fueron 826 estudiantes de secundaria. El análisis de ítems de PVII se realizó para cada tipo de interés con el fin de seleccionar imágenes con un coeficiente de correlación total-ítem corregido de .30 o superior. Se aplicó el procedimiento de consistencia interna y test-retest para obtener los coeficientes de confiabilidad del PVII. La validez del constructo para cada tipo de interés se analizó mediante un análisis factorial confirmatorio (CFA).Resultados Basándose en el índice V de Aiken de .80 o superior, se seleccionaron 24 imágenes cada una con coeficientes de correlación con el total que oscilaron entre .31 y .68. Los coeficientes alfa de Cronbach se situaron entre .60 y .79, mientras que la confiabilidad testretest varió entre .71 y .82. El resultado del CFA mostró que las cargas factoriales de las imágenes del PVII se distribuyeron entre .40 y .82; todas las cargas factoriales fueron significativas para p ...

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“…Liao et al [2008] developed individual measures for different vocational areas to measure interest in each particular area. Their argument is that interest measures should be an ongoing endeavor that changes with the times and the various areas of interest available.…”

Section: Interestmentioning

confidence: 99%

“…In addition, the public domain basic interest markers are provided free for use as opposed to the Strong and others that are proprietary material. One of the interest measures developed is in the area of IT [Liao et al 2008].…”

Section: Interestmentioning

confidence: 99%

Utilizing Structural Equation Modeling and Social Cognitive Career Theory to Identify Factors in Choice of IT as a Major

Luse

Rursch

Jacobson

2014

ACM Trans. Comput. Educ.

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In the United States, the number of students entering into and completing degrees in science, technology, engineering, and mathematics (STEM) areas has declined significantly over the past decade. Although modest increases have been shown in enrollments in computer-related majors in the past 4 years, the prediction is that even in 3 to 4 years when these students graduate, there will be shortages of computerrelated professionals for industry. The challenge on which this article focuses is attracting students to select an information technology (IT) field such as computer science, computer engineering, software engineering, or information systems as a major when many high schools do not offer a single computer course, and high school counselors, families, and friends do not provide students with accurate information about the field. The social cognitive career theory (SCCT) has been used extensively within counseling and career psychology as a method for understanding how individuals develop vocational interests, make occupational choices, and achieve success within their chosen field. In this article, the SCCT model identifies factors that specifically influence high school students to select a major in an IT-related discipline. These factors can then be used to develop new or enhance existing IT-related activities for high school students. Our work demonstrates that both interest and outcome expectations have a significant positive impact on choice to major. Interest also is found to mediate the effects of self-efficacy and outcome expectations on choice of major. Overall, the model predicts a good portion of variance in the ultimate outcome of whether or not an individual chooses to major in IT. ACM Reference Format:Andy Luse, Julie A. Rursch, and Doug Jacobson. 2014. Utilizing structural equation modeling and social cognitive career theory to identify factors in choice of IT as a major.

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Development and initial validation of public domain Basic Interest Markers

Cited by 74 publications

References 16 publications

People–things and data–ideas: Bipolar dimensions?

People–things and data–ideas: Bipolar dimensions?

Development of Pictorial Vocational Interest Inventory for Adolescents

Utilizing Structural Equation Modeling and Social Cognitive Career Theory to Identify Factors in Choice of IT as a Major

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