Evaluating a job search strategy model of fit perceptions: a construct validation amongst unemployed job seekers

Emmanuel AFFUM-OSEI*, Henry Kofi MENSAH, Eric Adom ASANTE, Solomon Kwarteng FORKUOH

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)


The purpose of this study is to examine the (1) psychometric properties of Crossley and Highhouse's job search strategy scale and (2) the predictive utility of the scale on fit perceptions.

Data were collected from unemployed job seekers in Ghana (nT1 = 720; nT2 = 418). Exploratory and confirmatory factor analyses were conducted to examine the data.

Exploratory factor analysis on the first random sub-sample (n = 362) supported a three-factor model. Confirmatory factor analysis on the second random sub-sample (n = 358) confirmed the three-factor structure and was invariant across job search contexts and genders. Moreover, structural path results showed that the use of focussed and exploratory job search strategies facilitated positive fit perceptions and the use of haphazard job search resulted in poor job fit perceptions.

This study is the first to examine the dimensionality of job search strategies based on different job search context by linking it to fit perceptions. Moreover, the authors provide evidence that the job search strategy scale has a valid psychometric property and a promising instrument to assess job search behaviour across job search contexts and genders in an understudied population.
Original languageEnglish
Pages (from-to)269-289
Number of pages21
JournalCareer Development International
Issue number2
Early online date26 Mar 2021
Publication statusPublished - 4 May 2021

Bibliographical note

This research is supported by a thesis support grant provided to the first author as part of a fully-funded Hong Kong PhD Fellowship Scholarship by the Research Grants Council (RGC).


  • Fit perceptions
  • Job search behaviour
  • Job search strategy
  • Measurement invariance


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