Biomedical subjects

Jo Ann Lee

Publications and source records attributed to Jo Ann Lee.

3 recordsLinked to original sources

PubMed2005

Factor structure of organizational commitment: differences between U.S. and South Korean samples.

The current study compared the factor structures of the construct of organizational commitment between two samples of financial employees, one from the U.S. (n = 103) and one from South Korea (n = 109). Participants completed a 26-item questionnaire. Two factors (an affective component and a normative component) emerged for the U.S. sample; only one factor for the Koreans. Results suggest that culture should be considered when trying to assess organizational commitment.

Adult↗

PubMed2004

Reasons for use of the family and medical leave act by sex and age.

Applications (completed between 1995 and 2000) for leave by full-time staff employees working for a southeastern university of moderate size were examined by sex and age. Chi-square tests for frequencies of requests by reason (care for others vs own health condition) for taking leave were not associated with sex but were associated with age. The Family and Medical Leave Act may help both men and women assume dual roles of worker and family caregiver. Older workers were more likely to take leave to care for their own health condition than to care for others.

Adolescent↗

PubMed2004

Factor structure of the strong interest inventory with a Chinese high school sample.

D. S. Goh and J. Yu (2001) translated the Strong Interest Inventory (SII; L. W. Harmon, J-I. Hansen, F. H. Borgen, & A. L. Hammer, 1994) into Chinese and identified a 6-factor structure of the new instrument that showed both similarities and differences with J. L. Holland's personality types (1966, 1985, 1997). The present study was undertaken to further investigate the construct validity of the SII-Chinese for a sample of 247 high school students in China. Confirmatory factor analyses did not find a good fit of the Goh and Yu (2001) model or the Holland hexagonal model to the present data. Exploratory factor analysis extracted a 3-factor solution accounting for 59.2% of the variance. The authors offer interpretations of the obtained factors and discuss implications for the use of the SII-Chinese as an assessment tool.

Adolescent↗