psych: Procedures for Personality and Psychological Research

By William Revelle. 2017

4,417 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e6cbe10bd56d7c3f7c09fbef39bafc8d879b92d6

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Citations in the corpus

A model for personality at three levels (2015, methodology): “…different occupations and college majors, we have shown (Revelle and Condon, 2012) striking differences in the level of cognitive ability (as assessed by the ICAR measure of ability (Condon and Revelle, 2014)) and the structure of the Big Five temperament measures as a function of college major.”
Varieties of abstract concepts and their multiple dimensions (2019, methodology): “PA “compares the screen of components of the observed data with that of a random data matrix of the same size as the original” (Revelle, 2018).”
Why does the Cognitive Reflection Test (sometimes) predict utilitarian moral judgment (and other things) (2015, methodology): “For data analysis, we relied heavily on the psych package for R (R Development Core Team, 2012; Revelle, 2012), which has functions to compute Cronbach’s ̨, ̨ with each item removed, item-total correlations (with and without the item in the total), and factor analysis.”
Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits (2020, methodology): “…with informant-ratings: combining multiple pieces of information allows breaking correlations between variables into several components such as the association net of single-rater and occasion-specific biases, rater-specific effects and occasion-specific effects (e.g., Koch et al., 2017).”
Identification of the healthy neurotic: Personality traits predict smoking after disease onset (2015, methodology): “The majority of the analyses use the base package and stats package included in R, and the psych package (Revelle, 2013) was used to quickly find descriptive statistics of all predictor and outcome variables and estimate alpha reliabilities of the personality variables.”
Development of the International Ocean Literacy Survey: measuring knowledge across the world. (2019, methodology): “The DIF analyses were implemented in DIF Analysis Software (DIFAS; Penfield 2005) and the rest of the psychometric analyses were implemented in R (Mair and Hatzinger 2007; R Core Team 2017; Revelle 2017; Yves 2012).”
The scales of general well-being (SGWB) (2017, methodology): “Response distributions were then examined using the psych package version 1.5.8 (Revelle, 2015) in R version 3.2.3 (R Core Team, 2015).”
Psychological Science Needs a Standard Practice of Reporting the Reliability of Cognitive-Behavioral Measurements (2019, methodology): “Test-retest reliability for the Stroop task between the first and second testing session was estimated using Intraclass Correlation Coefficient (ICC; and accompanying 95% confidence intervals) using the psych package in R (Revelle, 2017).”
A Closed-Form Alternative for Estimating ω Reliability under Unidimensionality (2020, methodology): “, Mplus) or familiarity with packages in R (R Core Team, 2013) such as semTools (Pornprasertmanit, Miller, Schoemann, & Rosseel, 2013), MBESS (Kelley, 2015), psych (Revelle, 2016), and coefficientalpha (Zhang & Yuan, 2015), all of which report an ω estimate after fitting a unidimensional CFA model.”
Successful Explanations Start with Accurate Descriptions: Questionnaire Items as Personality Markers for More Accurate Predictions (2018, methodology): “Across the 40 outcomes and 19 raters, the intraclass correlation of single raters was .18, whereas the intraclass correlation of average ratings was .81 (calculated using the psych package; Revelle, 2017).”
A journey around alpha and omega to estimate internal consistency reliability (2017, methodology): “Phase 1, descriptive analysis, was conducted using the reshape2 (Wickham, 2007) and psych (Revelle, 2016) packages to calculate the response percentages, other descriptive statistics, and the Pearson or polychoric correlation coefficients when appropriate.”
Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research (2016, methodology): “Parallel analysis, MAP, VSS and BIC and EBIC were used to estimate the number of dimensions in the IRDT data via the psych [59] package.”
Passive and Active Facebook Use Measure (PAUM): Validation and relationship to the Reinforcement Sensitivity Theory (2017, methodology): “Data analysis The data were analyzed with R statistical software (R Core Team, 2015) using the psych (Revelle, 2016) and lavaan (Rosseel, 2012) packages.”
Automatic personality assessment through social media language. (2015, methodology): “To test whether aggregate ratings were significantly more accurate than informants alone, we used a significance test for dependent correlations as described by Steiger (1980; as implemented by Revelle, 2014).”