Holland in Iceland revisited: an emic approach to evaluating U.S. vocational interest models

An emic approach was used to test the structural validity and applicability of Holland's (1997) RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional) model in Iceland. Archival data from the development of the Icelandic Interest Inventory (Einarsdóttir & Rounds, 2007) were used in the present investigation. The data included an indigenous pool of occupations and work-task items representing Iceland's world of work that had been administered to a sample of 597 upper secondary school students. Multidimensional scaling analysis and property vector fitting using Prediger's (1981) work-task dimensions were applied to the item responses to test if the RIASEC model could be identified. The results indicated that a 4-dimensional solution better explains the interest space in Iceland than Holland's 2-dimensional RIASEC representation. The work-task dimension of People-Things and the Sex-Type and Prestige dimensions were located in the 1st and 2nd dimensions of the multidimensional scaling solution, but Data-Ideas, a dimension critical to the RIASEC model, was not. The 3rd and 4th dimensions did not correspond to any dimensions previously detected in structural studies in the United States and seem to be related to specific ecological, cultural, and political forces in Iceland. These results demonstrate the importance of selecting representative indigenous occupations and work tasks when evaluating the RIASEC model. The present study is an example of the next step in a comprehensive cross-cultural research program on vocational interests, an emic investigation.     

A meta-analysis of massage therapy research

Massage therapy (MT) is an ancient form of treatment that is now gaining popularity as part of the complementary and alternative medical therapy movement. A meta-analysis was conducted of studies that used random assignment to test the effectiveness of MT. Mean effect sizes were calculated from 37 studies for 9 dependent variables. Single applications of MT reduced state anxiety, blood pressure, and heart rate but not negative mood, immediate assessment of pain, and cortisol level. Multiple applications reduced delayed assessment of pain. Reductions of trait anxiety and depression were MT's largest effects, with a course of treatment providing benefits similar in magnitude to those of psychotherapy. No moderators were statistically significant, though continued testing is needed. The limitations of a medical model of MT are discussed, and it is proposed that new MT theories and research use a psychotherapy perspective.     

The fit between Strong-Campbell Interest Inventory General Occupational Themes and Holland's hexagonal model

Using a multidimensional scaling procedure, the present study examined the fit of Holland's RIASEC hexagon model to the internal relationships among the Strong-Campbell Interest Inventory (SCII) General Occupational Theme scales. SCII intercorrelation matrices for both sexes as reported in the SCII Manual were submitted, separately for each sex, to TORSCA 9 nonmetric scaling analysis. The Wakefield and Doughtie procedure was used to compare obtained TORSCA coordinates with expectations from Holland's hexagonal model. As a comparison, identical analyses were performed on Vocational Preference Inventory (VPI) scale intercorrelation matrices, these data having originally served as the basis for advancing the utility of the hexagon model. For females, the SCII-hexagon fit was not good, with a near reversal of the Social and Enterprising scales. For males, the SCII-hexagon fit was good. For either SCII or VPI scales, the female data met expectations from Holland's model less often than the male data. A replication study on SCII data for 305 female clients of a vocational assessment clinic confirmed the previously observed sex differences. Sex differences in the structure of vocational preferences are discussed.     

评估职业兴趣的结构

Holland的职业兴趣理论对当今兴趣研究产生了广泛、深远的影响。但是目前,还没有研究考察Holland理论假设在中国的适用性。研究共检验了5个与Holland的6种兴趣类型(RiASEC)有关的假设,其中两个是由本文研究者提出。研究搜集了在中国进行的、与Holland理论有关的研究,并最终选择了9个RIASEC相关矩阵。假定顺序的随机化检验以及方差分析的结果表明,Holland的圆形假设与数据的拟合程度在5个模型中最差;多维标度法结果表明,RIASEC的空间结构图并没有很好地符合Holland的圆形假设。     

Re-conceptualizing the past: Historical data in vocational interest research

Noteworthy progress has been made in the development of statistical models for evaluating the structure of vocational interests over the past three decades. It is proposed that historically significant interest datasets, when combined with modern structural methods of data analysis, provide an opportunity to re-examine the underlying assumptions of J.L. Holland’s [Holland, J. L. (1959). A theory of vocational choice. Journal of Counseling Psychology, 6, 35–45; Holland, J. L. (1997). Making vocational choices (3rd ed.). Odessa, FL: Psychological Assessment Resources] RIASEC model. To illustrate this potential, data obtained from J. P. Guilford’s study of interest structure were re-analyzed using modern circumplex and hierarchical clustering techniques to evaluate Holland’s and I. Gati’s [Gati, I. (1979). A hierarchical model for the structure of interests. Journal of Vocational Behavior, 15, 90–106; Gati, I. (1991). The structure of vocational interests. Psychological Bulletin, 109, 309–324] interest structures. Obtained results indicate that a circumplex model can be used to effectively represent the structure underlying Guilford’s interest measures. However, hierarchical clustering results suggest that Holland’s RIASEC types may not be the most effective categories for grouping specific interest measures into broader interest areas. The current findings provide support for the continued investigation of alternatives to Holland’s interest categories using modern measures of basic interests.     

The Experiences of Bystanders of Workplace Ethnic Harassment

The present research examined the experiences of individuals who witnessed or knew about ethnic harassment of their coworkers. Through 3 studies, we found that knowledge of other people's harassment was differentiated from personal experiences as a target and was associated with deleterious occupational, health-related, and psychological consequences beyond those accounted for by direct harassment and affective disposition. Ethnicity and gender did not moderate these relationships. Knowledge of others' ethnic harassment can therefore be construed as bystander harassment. Results also indicated that bystander and direct harassment were relatively common occurrences. Both harassment types contributed to how ethnic conflict is experienced. The consequences of ethnic harassment are not restricted to ethnic minority employees. Rather, everyone is at risk from such behaviors.     

Gender bias and construct validity in vocational interest measurement: Differential item functioning in the Strong Interest Inventory

Item response theory was used to address gender bias in interest measurement. Differential item functioning (DIF) technique, SIBTEST and DIMTEST for dimensionality, were applied to the items of the six General Occupational Theme (GOT) and 25 Basic Interest (BI) scales in the Strong Interest Inventory. A sample of 1860 women and 1105 men was used. The scales were not unidimensional and contain both primary and minor dimensions. Gender-related DIF was detected in two-thirds of the items. Item type (i.e., occupations, activities, school subjects, types of people) did not differ in DIF. A sex-type dimension was found to influence the responses of men and women differently. When the biased items were removed from the GOT scales, gender differences favoring men were reduced in the R and I scales but gender differences favoring women remained in the A and S scales. Implications for the development, validation and use of interest measures are discussed.     

Black-White differences in vocational interests: Meta-analysis and boundary conditions

Journal of Business and Psychology - The present study investigated whether Black and White Americans differed on the dimensions of Holland’s RIASEC model of vocational interests. Theoretical...     

Examining the Invariance of Holland's Vocational Interest Model across Gender

This study examines the structural invariance of Holland's (1973, 1985) vocational interest model across gender. Evidence of gender differences in the fit of Holland's model was sought by submitting 14 (7 male; 7 female) previously published Strong Interest Inventory (SII) General Occupational Themes (GOT) scale correlation matrices to multiple structural analytic techniques. Randomization tests of hypothesized order relations (Hubert Arabie, 1987) and single sample confirmatory factor analyses (CFA) indicated a moderate to strong correspondence between GOT data and Holland's circular order and circumplex models. Randomization tests of differences in model–data fit, and two-sample CFA indicated that these models are a no more or less accurate representation of the observed data for men than for women. Additional analyses aimed at identifying gender differences in the misfit of specific aspects of Holland's model also yielded no evidence of differential fit.     

The fit of Holland’s RIASEC model to US occupations

Holland’s [Holland, J. L. (1959). A theory of occupational choice. Journal of Counseling Psychology, 6, 35-45; Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Odessa, FL: Psychological Assessment Resources, Inc.] RIASEC types were initially developed using a restricted range of occupational titles. Holland’s type classification system has been extended to encompass the full range of occupations in the US, using both statistical and expert rating methods. However, the extent that Holland’s classification model is sufficient to represent the full range of occupational interests has not been examined. Multidimensional scaling (MDS) was used to analyze college students’ (266 men, 572 women) interests in occupations representing approximately 85% of the US labor market. A two-dimensional MDS solution of the full set of occupations did not fit Holland’s model, but limiting the analysis to occupations used in Holland-based measures produced the expected RIASEC structure. In comparison, a three-dimensional solution included Prediger’s [Prediger, D. J. (1982). Dimensions underlying Holland’s hexagon: Missing link between interests and occupations? Journal of Vocational Behavior, 21, 259-287] dimensions (Things/People and Data/Ideas) consistent with Holland’s model, but also included prestige and sex-type dimensions that were not orthogonal to Prediger’s dimensions. These results demonstrate that the RIASEC types are not sufficient to represent the full range of occupational interests and are confounded with prestige and sex-type.