SciELO - Scientific Electronic Library Online

 
vol.40 issue1Industrial psychology students' attitudes towards statisticsA competence executive coaching model author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • On index processSimilars in Google

Share


SA Journal of Industrial Psychology

On-line version ISSN 2071-0763
Print version ISSN 0258-5200

Abstract

NEL, Petrus  and  BOSHOFF, Adré. Factorial invariance of the Adult State Hope Scale. SA j. ind. Psychol. [online]. 2014, vol.40, n.1, pp.01-08. ISSN 2071-0763.

ORIENTATION: Given the interest in the impact of positive psychology on employees, it is imperative to use reliable and valid instruments to operationalise positive-psychology constructs. One such construct is hope. RESEARCH PURPOSE: The purpose of the study was to assess the degree of factorial invariance across race and gender by using a sample of aspiring chartered accountants. MOTIVATION FOR THE STUDY: Previous research on the hope construct and associated measuring instruments have been conducted, using homogenous samples from Westernised cultures. Researchers need to be careful to assume that hope looks and behaves in exactly the same manner across cultures and groups. RESEARCH APPROACH, DESIGN AND METHOD: A cross-sectional quantitative research design was used. A sample of 295 aspiring chartered accountants participated in the study. Exploratory factor analysis was used to determine the degree of factor similarity across groups, utilising Tucker's coefficient of congruence. To supplement the exploratory factor analysis, a series of increasingly restrictive multi-group analyses were conducted to test the invariance of model parameters across the groups. MAIN FINDINGS: No significant differences were found in the factor patterns for the agency and pathways factors for (1) the white and designated groups and (2) females and males. PRACTICAL/MANAGERIAL IMPLICATIONS: Evidence related to factorial invariance was found. This should inform researchers and practitioners that both pathways and agency look similar across racial and gender groups. CONTRIBUTION/VALUE-ADD: Researchers are urged to use various statistical techniques, in combination, to determine the degree of factorial invariance across groups.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License