' judgment bias' Search Results
The Potential Influence of To-Be-Forgotten Information on Educational Judgments
directed forgetting educational judgments judgment bias school track recommendation...
Teachers often face complex educational judgments and research has shown that teachers are prone to be influenced by unrelated information in their judgments and decisions. To investigate the influence of potential misinformation we employed a list-method directed forgetting paradigm and investigated a simulated judgment scenario, in which participants were asked to recommend a higher or lower school track for a fictitious elementary school child. Previous research using list-method directed forgetting revealed that participants can intentionally forget information but this information might still influence further judgments. In two experiments, data on recall performance, school track recommendation, and the evaluative impression of the target were analyzed to investigate whether participants were able to intentionally forget information and whether the to-be-forgotten information influenced later judgments. To-be-forgotten information was either presented before (Experiment 1) or following (Experiment 2) information instructed to be remembered. Both experiments revealed that participants did not forget information instructed to be forgotten and their judgments were not influenced by this information. Bayes factors spoke in favor of the null hypotheses, indicating that the influence of to-be-forgotten information on simulated school track recommendations is questionable. Our results revealed important boundary conditions of directed forgetting in applied contexts.
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Exploring the Five-Factor Structure of the Need for Closure Scale on Indian Samples Using Exploratory and Confirmatory Factor Analysis
confirmatory factor analysis exploratory factor analysis five-factor structure need for closure parcels method...
This study was conducted to explore the five-factor structure of the Need for Closure scale on Indian samples using exploratory and confirmatory factor analysis. Data were initially collected from 450 samples which were reduced to 235 cases later based on the lie score criteria of the Need for Closure Scale. To rule out the problems caused by all questionnaire items like low reliability and low communalities, parceling of the items (creating three parcels from each facet) was done before the multivariate analysis (EFA and CFA). In the results, EFA showed that the five-factor structure of the NFC scale explains 52% of the variance. The goodness of fit statistics in the CFA model met the criteria (χ2 = 190.153, GFI = 0.908, TLI = 0.855, CFI = 0.890, RMSEA = 0.077) for the reasonable fit of the single factor structure of the NFC construct. In conclusion, this study presented the good psychometric properties of the NFC scale. It can be used to assess the individual's need for closure in the wider contexts of Indian studies.
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