This study examined teachers’ attributions and emotions for their subjectively perceived interpersonal relationships with their students as positive or negative, and whether hope (pathways thinking, agency thinking) influences the perceived positive or negative interpersonal relationships, the subsequent attributions and emotions, and the impact of attributions on emotions. Fifty teachers, of both genders, completed the questionnaire for each of their five students who were randomly selected from their teaching classes. The results revealed that the positive interpersonal relationships were predominately attributed to stable, personally controllable and self-student controllable factors, whereas the negative interpersonal relationships were primarily attributed to external, external controllable, unstable, and self-student controllable factors. Also, teachers reported positive emotions of high intensity (sympathy, cheerfulness, exciting, love, not anger, calmness) for the positive relationships, and negative emotions of moderate intensity (no enthusiasm, shame, anxiety, no excitement) for the negative relationships. Yet, the high hope teachers made adaptive attributional and emotional appraisals for the positive and, mainly, negative interpersonal relationships. Agency thinking, as compared to pathway thinking, was a better and worse formulator of the appraisals in negative and positive interpersonal relationships, respectively. Hope, additionally, had direct effect on the emotions, beyond that afforded by attributions, particularly in negative interpersonal relationships.

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.

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.

Data obtained through questionnaires sometimes respond to the items presented by social norms, so sometimes they do not suit themselves. High social desirability (SD) in non-cognitive measurements will cause item bias. Several ways are used to reduce item bias, including freeing respondents from not writing their names or being anonymous, explaining to the participants to respond to each statement honestly, as they are or according to themselves, and responding to the questionnaire online or offline. This research aims to prove that several methods can minimize the possibility of item bias SD and academic dishonesty (AD). The research was carried out with an experimental study using a factorial design. There were 309 respondents who were willing to be involved in this research. Data analysis was carried out using multivariate ANOVA. The research results show differences for all variables, Self-Deceptive Enhancement (SDE), Impression Management (IM), and AD in the anonymous group. There are differences in AD in the groups that provide a complete explanation and do not explain, and there is an interaction between the average AD based on the anonymous and explanation group.