Diagnostic Method “Need for Order and Predictability”
<p style="text-align: justify;">The article presents the results of the development of the diagnostic methodology &ldquo;Striving for order and predictability&rdquo;, created on the basis of the questionnaire &ldquo;Striving for cognitive closure&rdquo; by A. Kruglyansky. The need for cognitive closure is a cognitive process that allows avoiding of unnecessary, contradictory and interfering information in order to integrate data easier and substantiated consideration of two parameters &mdash; &ldquo;Striving for order&rdquo; and &ldquo;Striving for predictability&rdquo; &mdash; into a single construct. Reduction of test dimensionality is achieved by using structural equation modeling (Structural Equation Models, SEM). The sample consisted of 505 respondents, average age 29.5 years, of which 74.6% were women, 25.4% were men. For the developed structure the following indicators were obtained: &chi;&sup2;/df =3; CFI=0.923; TLI=0.906; SRMR = 0.0525; RMSEA=0.0677, which indicates a very good fit of the model. Cronbach's alpha for the &ldquo;Striving for Order&rdquo; scale = 0.822, for the &ldquo;Striving for Predictability&rdquo; scale = 0.733, McDonald's Alpha for all items of the two-scale questionnaire = 0.833. The retest results on a sample of 53 people is r=0.81. No gender differences were found on both scales. The presented model of the questionnaire shows very good model fit indices, internal consistency and a high degree of reliability. Further work on the construct of cognitive closure may use the results of current study.</p>
Authors
- Miroslav I. Yasin (ORCID: https://orcid.org/0000-0001-6249-8527)
Institutions
- National Research University Higher School of Economics (RU)
Publication Details
- Journal
- Journal of Modern Foreign Psychology
- Published
- 2024-09-30
- DOI
- https://doi.org/10.17759/jmfp.2024130303
- Citations
- 1
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.46