CATCH IT BEFORE REVIEWER 2 DOES

Latent Profile Analysis Done-Right Package

Submission-ready class enumeration, covariance sensitivity checks, and classification-error-aware distal outcome modeling—without treating uncertain class assignments as known facts.

Download the Free 7 Common LPA Mistakes Kit + Reproducible tidyLPA Code (.ZIP)Request a Scoped LPA Pilot Audit

Who this is for

Education evaluation PIs, health services cohort teams, organizational psychology labs, early-career faculty addressing Reviewer 2 concerns, and applied research contractors seeking methodologically defensible analyses.

Sample audit evidence

Synthetic data. 380 complete cases from 600 simulated cases.

Model fit and stability grid
CovarianceKLogLikAICBICSABICICLBLRT pEntropyMin AvePPMin class %Min class nstartsConverged startsBest repeatsflags
EEI1-3671.94140018817367.88280037617415.16485540887377.09120171527415.1648554088Not computedNot computed1100380111Clear
EEI2-3345.79675979696729.59351959396804.45677339566744.17348838086844.9572038483Not computed0.843365361280.9366448155540152999Clear
EEI3-3261.66184445666575.32368891316677.76814148396595.27522514796768.6587425232Not computed0.786047506330.8728175532720.526315789578999Clear
EEI4-3218.19428829666502.38857659316632.41422793296527.71168027576730.2800933335Not computed0.805851936310.8138562604212.105263157946993Clear
EEI5-3170.32254497586420.64508995156578.25194006046451.33976108196703.6765367096Not computed0.792722224690.8312861632312.105263157946999Clear
EEI6-3151.1504982596396.3009965186581.48904539586432.36723509616717.0052141841Not computed0.792863163180.827709537847.105263157927991Best likelihood not replicated
VVI1-3671.94140018817367.88280037617415.16485540887377.09120171527415.1648554088Not computedNot computed1100380111Clear
VVI2-3330.96858589476711.93717178946810.44145310746731.12134124586850.8157952359Not computed0.849756063040.9393392240239.2105263158149999Clear
VVI3-3245.02670075066566.05340150136715.77990910476595.21333907516793.8318202846Not computed0.812055481090.8971316667218.684210526371998Clear
VVI4-3192.30660362436486.61320724856687.56194113736525.74891293976774.9165047132Not computed0.817195624810.8653364392911.315789473743995Clear
VVI5-3154.48266878296436.96533756586689.13629773996486.07681137436796.7538062062Not computed0.808805832220.8463482335511.052631578942993Clear
VVI6-3129.02430695766412.04861391516715.44180037466471.1358558416826.5474763666Not computed0.823440218980.854198389645.789473684222991Best likelihood not replicated; Small modal class
EEE1-3128.98564027496311.97128054986418.35590437326332.69018356276418.3559043732Not computedNot computed1100380111Clear
EEE2-3112.25977954946292.51955909886426.48538169136318.61002955966504.4235887673Not computed0.701340178730.8538934106327.3684210526104996Clear
EEE3-3092.18912655166266.37825310326427.92527446476297.84029101186560.4384781843Not computed0.669511518960.8304058966528.1578947368107995Clear
EEE4-3076.4209108916248.8418217826437.97004191266285.67542713856560.6638808734Not computed0.751682720410.8473585579311.052631578942992Clear
EEE5-3068.81153757086247.62307514156464.33249404126289.82824794586605.4625309117Not computed0.754758296830.743279040248.421052631632991Best likelihood not replicated
EEE6-3061.69049812596247.38099625186491.67161392046294.95773650386670.3061411841Not computed0.725694451570.72287402529.473684210536991Best likelihood not replicated
VVV1-3128.98564027496311.97128054986418.35590437326332.69018356276418.3559043732Not computedNot computed1100380111Clear
VVV2-3075.87860804516261.75721609026478.46663498986303.96238889446554.0040769165Not computed0.709151768120.9035690504342.1052631579160994Clear
VVV3-3043.07702438846252.15404877686579.18826275266315.84549137236690.3971694429Not computed0.724112549920.7619009109422.631578947486992Clear
VVV4-3014.60939357836251.21878715666688.57779620866336.39649954336747.770119415Not computed0.880869354880.880416385894.210526315816991Best likelihood not replicated; Small modal class
VVV5-2963.20257485596204.40514971186752.08895383996311.06913188986837.5013023752Not computed0.853361170880.819790710886.842105263226991Best likelihood not replicated
VVV6-2942.07440843756218.1488168756876.15741607936346.29906884416947.246740102Not computed0.890954719820.794978973424.736842105318991Best likelihood not replicated; Small modal class

Lower BIC is preferred within the same analysis sample. Entropy and AvePP describe classification precision. BLRT was omitted. Flags mark candidates requiring review.

Lowest BIC by covariance among candidates without flags
CovarianceKBIC
EEI56578.2519400604
VVV16418.3559043732
BIC by profile count and covariance structure
BIC by profile count and covariance structure
Fitted indicator means for three VVV profiles
Fitted indicator means for three VVV profiles
Modal OLS and classification error aware BCH
contrastTargetModal OLSOLS SEOLS errorBCH estimateConditional BCH SEBCH error
2 vs 10.650.466448435560.13262823771-0.183551564440.57251081290.18864748999-0.077489187103
3 vs 11.350.938650780550.1214126777-0.411349219451.05125518350.13320325234-0.29874481646

BCH standard errors condition on the fixed indicator model. Error compares the estimate with the generating contrast in this simulation.

Read the sample audit report

What you receive

DeliverableFree kitScoped audit
Enumeration and covariance sensitivitySynthetic fit table, plots and start logsFit and stability evidence for your study
Distal outcome analysisWorked modal versus BCH comparisonOne outcome or predictor analysis if supported and agreed in scope
Reporting and reproductionHTML and Word audit and checklist, synthetic data, R and Quarto sourcesStudy-specific code, report and reviewer-response memo

Scope and interpretation

Profiles summarize patterns in measured indicators. Claims about latent types or causal mechanisms require independent evidence. Class count depends on the sample, indicators and assumptions. The pilot scopes one dataset with 4–10 continuous indicators.

Principal methodologist

Nedim Yel, Ph.D., is founder and principal statistician at Data Analysis & Statistical Solutions (DASS) and creator of Reviewer Ready and StatPower. He holds a Ph.D. in Measurement, Statistics, and Methodological Studies and has 15+ years of experience in quantitative methodology, psychometrics, and IES- and NSF-funded research.

Free reproducible lead magnet kit

7 Common Latent Profile Analysis Mistakes & Reproducible R/Quarto Audit Pipeline. Enter your email to request the kit and download it here. DASS uses your email to handle the request. Methodology notes are optional. See our privacy policy.

Request a Scoped LPA Pilot Audit

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