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- Data for: Differentiating Conscientious from Indiscriminate Responders in Existing NEO-Five Factor Inventory-3 Datathese three data sets were used for the paper: Differentiating Conscientious from Indiscriminate Responders in Existing NEO-Five Factor Inventory-3 Data by Zdravko Marjanovic and Ronald R. Holden
- Data for: 'Check Your Selfie before You Wreck Your Selfie': Personality Ratings of Instagram Users as a Function of Self-Image PostsSurvey data from 2 samples; Instagram coding for Phase 1 sample and ratings by perceivers; Instagram coding for Phase 2 sample including ratings of targets
- Data for: Personality change goals and plans as predictors of longitudinal trait change in young adults: A replication with an Iranian sampleDesign: The study employed a two-phase longitudinal design, with 12 months separating each phase (Phase 1 and Phase 2). Goals and plans were measured at Phase 1, and personality traits were measured at Phase 1 and Phase 2. During each phase, participants were given two months within which to complete the questionnaires. Participants: The sample at Phase 1 comprised 170 students of Yazd University aged 18-28. At Phase 2 (one year later), 160 of the original sample participated, representing an attrition rate of 7%. Of the completers, 61 were male and 99 were female. The average age was 21.12. The 160 completers are used for the basis of the longitudinal analysis presented here. Measures: Trait goals were assessed with the Big Five Trait-Change Goal Inventory (BF-TGI). Plans for change were assessed using the Trait Change Plans Open-Ended Questions, coded for specificity using a 4-point scale (1- no plan, 2- general plan, 3- semi-specific plan, and 4- specific plan). For full descriptions of these measures, see Robinson et al., (2015). Trait levels at T1 and T2 were measured using the 44-item Big Five Inventory (John, Donahue, & Kentle, 1991). All measures were delivered in Farsi using the validated translation arranged for the Robinson et al. (2015, study 2), and were administered online.
- Data for: Prospective Prediction of Academic Performance in College Using Self- and Informant-Rated Personality TraitsSelf, parent, and peer NEO-FFI personality ratings; undergraduate GPA
- Data for: Shame behind the corner? A daily diary investigation of pathological narcissismData and R-code for: "Shame behind the corner? A daily diary investigation of pathological narcissism".
- Data for: "Escape from Freedom": Authoritarianism-related traits, political ideology, personality, and belief in free will/determinism.The raw data and codebooks from “Escape from Freedom”: Authoritarianism-related traits, political ideology, personality, and belief in free will/determinism.
- Data for: Leadership Perceptions, Gender, and Dominant Personality: The Role of Normality EvaluationsFor descriptive statistics, reliability, CFA, correlations, simple moderation, please use the file for R. And for total direct and conditional indirect effect, please use the file for SPSS PROCESS Macro.
- Data for: Striving for Change: The Prevalence and Correlates of Personality Change GoalsThe data for the manuscript: Striving for Change: The Prevalence and Correlates of Personality Change Goals
- Data for: Sex differences in humor production ability: A meta-analysisCoding of all studies including the moderators.
- Data for: Accuracy and Confidence in Perceptions of Targets’ Attachment to Former Partners: Do Judges Vary as a Function of Individual Differences in Attachment Style?Sample 2, Aims 2-4
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