The following pages link to psych (Q16720):
Displaying 50 items.
- auto.pca (Q153161) (← links)
- MOQA (Q153871) (← links)
- mdpeer (Q154028) (← links)
- IRTShiny (Q154418) (← links)
- lavaan.shiny (Q154420) (← links)
- GAabbreviate (Q156076) (← links)
- ionr (Q156716) (← links)
- sdmvspecies (Q156890) (← links)
- CTTShiny (Q157377) (← links)
- ConfZIC (Q159597) (← links)
- R compact. The fast introduction into data analysis (Q365178) (← links)
- Coefficients alpha, beta, omega, and the glb: comments on Sijtsma (Q1013064) (← links)
- dendroTools (Q1333977) (← links)
- mlmts (Q1334146) (← links)
- SLFPCA (Q1349969) (← links)
- careless (Q1352090) (← links)
- mcvis (Q1353368) (← links)
- RMTL (Q1353432) (← links)
- PROsetta (Q1354310) (← links)
- condir (Q1354403) (← links)
- Parsimonious parameterization of correlation matrices using truncated vines and factor analysis (Q1623595) (← links)
- Manifold-based synthetic oversampling with manifold conformance estimation (Q1640402) (← links)
- Lower bounds to the reliabilities of factor score estimators (Q1682440) (← links)
- Generalized network psychometrics: combining network and latent variable models (Q1695733) (← links)
- Finite element modelling of complex movements during self-sealing of ring incisions in leaves of \textit{Delosperma cooperi} (Q1712855) (← links)
- Mapping unobserved item-respondent interactions: a latent space item response model with interaction map (Q2066583) (← links)
- Neither Cronbach's alpha nor McDonald's omega: a commentary on Sijtsma and Pfadt (Q2073732) (← links)
- A likelihood-based boosting algorithm for factor analysis models with binary data (Q2076167) (← links)
- Dimension-wise scaled normal mixtures with application to finance and biometry (Q2146462) (← links)
- Transformer-based deep neural language modeling for construct-specific automatic item generation (Q2152429) (← links)
- Modeling faking in the multidimensional forced-choice format: the faking mixture model (Q2152431) (← links)
- Dandelion plot: a method for the visualization of R-mode exploratory factor analyses (Q2259825) (← links)
- Cultural consensus theory for continuous responses: a latent appraisal model for information pooling (Q2263964) (← links)
- A stochastic ordering based on the canonical transformation of skew-normal vectors (Q2273162) (← links)
- Financial, macro and micro econometrics using R (Q2280040) (← links)
- Direct Schmid-Leiman transformations and rank-deficient loadings matrices (Q2318844) (← links)
- Parceling cannot reduce factor indeterminacy in factor analysis: a research note (Q2331196) (← links)
- Rating scales as predictors -- the old question of scale level and some answers (Q2339059) (← links)
- Cultural consensus theory for the ordinal data case (Q2348189) (← links)
- Quantile lower bounds to reliability based on locally optimal splits (Q2348191) (← links)
- Cultural consensus theory: comparing different concepts of cultural truth (Q2438612) (← links)
- MultiOrd: An R Package for Generating Correlated Ordinal Data (Q2943786) (← links)
- Realism and Uncertainty of Unobservable Common Causes in Factor Analysis (Q2965378) (← links)
- Behavioral Research Data Analysis with R (Q3092573) (← links)
- Doubly Classified Model with R (Q4608938) (← links)
- Modern Psychometrics with R (Q4687707) (← links)
- R kompakt (Q4985110) (← links)
- Complete-Linkage Clustering Analysis of Surrogate Measures for Road Safety Assessment in Roundabouts (Q5009663) (← links)
- Simultaneous variable and factor selection via sparse group lasso in factor analysis (Q5107489) (← links)
- An Introduction to Data Analysis in R (Q5114674) (← links)
