Package: psychometric 2.4

psychometric: Applied Psychometric Theory

Contains functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility.

Authors:Thomas D. Fletcher

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psychometric/json (API)

# Install 'psychometric' in R:
install.packages('psychometric', repos = c('https://tfletcher05.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • ABHt32 - Table 3.2 from Arthur et al
  • HSJt35 - Table 3.5 Hunter et al.
  • TestScores - Fictitious Test Scores for Illustrative Purposes

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

59 exports 1.69 score 21 dependencies 6 mentions 170 scripts 910 downloads

Last updated 11 months agofrom:6c5f26c053. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:alphaalpha.CIaprox.Qrbaraprox.vareaRxxbRyyCAFAACI.obsCI.RsqCI.RsqlmCI.tscoreCIrCIrbCIrdifCIzClassUtilCredIntRhocRRcRRrCVFCVratiodiscrimEnterMetaEst.trueFileDrawerFunnelPlotICC1.CIICC1.lmeICC2.CIICC2.lmeitem.examMargUtilMetaTablepvaaapvseQrbarQrhor.nilr2zrbarrdif.nulrhoCASBlengthSBrelSE.EstSE.MeasSE.PredSERHETSERHOMSEzTotUtilvarAVvarevare36varrvarRCAvarResvarResTz2r

Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMASSmultilevelnlmepillarpkgconfigpurrrR6rlangtibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Applied Psychometric Theorypsychometric-package apt psychometric
Table 3.2 from Arthur et alABHt32
Cronbach's Coefficient Alphaalpha
Confidence Interval for Coefficient Alphaalpha.CI CI.alpha
Artifact Distribtutions Used in Meta-AnalysisaRxx bRyy cRR
Compound Attenuation Factor for Meta-Analytic Artifact CorrectionsCAFAA
Confidence Interval for R-squaredCI.Rsq
Confidence Interval for Rsq - from lm()CI.Rsqlm
Confidence Intervals for Test ScoresCI.obs CI.tscore
Confidence Interval for a Correlation CoefficientCIr
Confidence Interval about Sample Weighted Mean CorrelationCIrb CIrbar
Confidence Interval for the difference in Correlation CoefficientsCIrdif
Confidence Interval for Fisher z'CIz
Classical Utility of a TestClassUtil
Credibility Interval for Meta-Analytic RhoCredIntRho
Correction for Range RestrictioncRRr
Compound Variance Factor for Meta-Analytic Artifact CorrectionsCVF
Content Validity RatioCVratio
Item Discriminationdiscrim
Enter Meta-Analysis DataEnterMeta
Estimation of a True ScoreEst.true
File Drawer NFileDrawer
Funnel Plot for Meta-AnalysisFunnelPlot
Table 3.5 Hunter et al.HSJt35
Confidence interval for the Intra-class CorrelationICC.CI ICC1.CI ICC2.CI
Intraclass Correlation Coefficient from a Mixed-Effects ModelICC.lme ICC1.lme ICC2.lme
Item Analysisitem.exam
Summary function for 'Complete' Meta-AnalysisMetaTable
Percent of Variance Accounted for by Artifacts in Rhopvaaa
Percent of variance due to sampling errorpvse
Meta-Analytic Q statistic for r-baraprox.Qrbar Qrbar
Meta-Analytic Q statistic for rhoQrho
Nil hypothesis for a correlationr.nil r.null
Fisher r to z'FISHER r to z r2z
Sample size weighted mean correlationrbar
Null hypothesis for difference in two correlationsrdif.nul
Meta-Analytically Derived Correlation Coefficient Corrected for ArtifactsrhoCA
Standard Errors of Measurement (test scores)SE.Est SE.Meas SE.Pred
Standard Error for Sample Size Weighted Mean CorrelationSErbar SERHET SERHOM
Standard Error of Fishers z primeSEz
Spearman-Brown Prophecy FormulaeSBlength SBrel SpearmanBrown
Fictitious Test Scores for Illustrative PurposesTestScores
Marginal and Total Utility of a TestMargUtil TotUtil Utility
Variance Due to Attenuating ArtifactsvarAV
Sampling Error Varianceaprox.vare vare vare36
Sample Size weighted variancevarr
Variance in Meta-Analytic RhovarRCA
Residual Variance in Meta-Analytic CorrelationvarRes
True residual variance in correlationsvarResT
Fisher z' to rFisher z to r z2r