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==Implementation==
Parallel analysis has been implemented in [[JASP]], [[SPSS]], [[SAS (software)|SAS]], [[STATA]], and [[MATLAB]]<ref>{{cite journal |last1=Hayton |first1=James C. |last2=Allen |first2=David G. |last3=Scarpello |first3=Vida |title=Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis |journal=Organizational Research Methods |date=29 June 2016 |volume=7 |issue=2 |pages=191–205 |doi=10.1177/1094428104263675|s2cid=61286653 }}</ref><ref>{{cite web |last1=O'Connor |first1=Brian |title=Programs for Number of Components and Factors |url=https://people.ok.ubc.ca/brioconn/nfactors/nfactors.html |website=people.ok.ubc.ca}}</ref><ref>{{cite journal |last1=O’connor |first1=Brian P. |title=SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test |journal=Behavior Research Methods, Instruments, & Computers |date=September 2000 |volume=32 |issue=3 |pages=396–402 |doi=10.3758/BF03200807|pmid=11029811 |doi-access=free }}</ref> and in multiple packages for the [[R (programming language)|R programming language]], including the ''psych''<ref>{{cite journal |last1=Revelle |first1=William |title=Determining the number of factors: the example of the NEO-PI-R |date=2007 |url=http://www.personality-project.org/r/book/numberoffactors.pdf}}</ref><ref>{{cite web |last1=Revelle |first1=William |title=psych: Procedures for Psychological, Psychometric, and PersonalityResearch |url=https://cran.r-project.org/web/packages/psych/ |date=8 January 2020}}</ref> ''multicon'',<ref>{{cite web |last1=Sherman |first1=Ryne A. |title=multicon: Multivariate Constructs |url=https://cran.r-project.org/web/packages/multicon/index.html |date=2 February 2015}}</ref> ''hornpa'',<ref>{{cite web |last1=Huang |first1=Francis |title=hornpa: Horn's (1965) Test to Determine the Number of Components/Factors |url=https://cran.r-project.org/web/packages/hornpa/index.html |date=3 March 2015}}</ref> and ''paran'' packages.<ref>{{cite journal |last1=Dinno |first1=Alexis |title=Gently Clarifying the Application of Horn's Parallel Analysis to Principal Component Analysis Versus Factor Analysis |url=https://alexisdinno.com/Software/files/PA_for_PCA_vs_FA.pdf}}</ref><ref>{{cite journal |last1=Dinno |first1=Alexis |title=paran: Horn's Test of Principal Components/Factors |date=14 October 2018 |url=https://cran.r-project.org/web/packages/paran/}}</ref> Parallel analysis can also be conducted in Mplus version 8.0 and forward.<ref>https://www.statmodel.com/HTML_UG/chapter16V8.htm</ref>
==See also==
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