Psychological Methods

Article	Citations
Comparing network structures on three aspects: A permutation test.	210
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.	172
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.	168
Effect size guidelines for cross-lagged effects.	123
The fixed versus random effects debate and how it relates to centering in multilevel modeling.	120
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.	106
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.	96
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.	92
Reporting standards for psychological network analyses in cross-sectional data.	84
Meta-analytic structural equation modeling with moderating effects on SEM parameters.	82
Dynamic fit index cutoffs for confirmatory factor analysis models.	77
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn.	69
p-Hacking and publication bias interact to distort meta-analytic effect size estimates.	60
Toward a principled Bayesian workflow in cognitive science.	58
Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.	57
A tutorial on assessing statistical power and determining sample size for structural equation models.	49
Managing validity versus reliability trade-offs in scale-building decisions.	46
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.	44
Composite reliability of multilevel data: It’s about observed scores and construct meanings.	41
A tutorial on bayesian networks for psychopathology researchers.	36
The Semantic Scale Network: An online tool to detect semantic overlap of psychological scales and prevent scale redundancies.	36
Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection.	35
What is a Bayes factor?	34
Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.	33
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.	33

Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.	32
Centering categorical predictors in multilevel models: Best practices and interpretation.	32
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.	31
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.	30
Using anticlustering to partition data sets into equivalent parts.	28
Modeling psychopathology: From data models to formal theories.	28
Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.	28
The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.	28
Ten frequently asked questions about latent transition analysis.	27
Partitioning variation in multilevel models for count data.	27
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.	27
Workflow techniques for the robust use of bayes factors.	25
Latent variable GIMME using model implied instrumental variables (MIIVs).	25
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.	25
The measurement of the mediator and its influence on statistical mediation conclusions.	23
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.	22
Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation.	22
Recovering bifactor models: A comparison of seven methods.	21
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	21
Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports.	20
A tutorial on regression-based norming of psychological tests with GAMLSS.	19
Misinterpreting p: The discrepancy between p values and the probability the null hypothesis is true, the influence of multiple testing, and implications for the replication crisis.	19
Flexplot: Graphically-based data analysis.	19
Measurement invariance testing using confirmatory factor analysis and alignment optimization: A tutorial for transparent analysis planning and reporting.	19
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.	17
Latent transition analysis with random intercepts (RI-LTA).	17
Deep learning: A primer for psychologists.	17
Investigating the feasibility of idiographic network models.	17
Different approaches to modeling response styles in divide-by-total item response theory models (part 1): A model integration.	17
A bifactor approach to subscore assessment.	16
Avoiding bias from sum scores in growth estimates: An examination of IRT-based approaches to scoring longitudinal survey responses.	15
The meaning of scientific objectivity and subjectivity: From the perspective of methodologists.	14
A constrained factor mixture analysis model for consistent and inconsistent respondents to mixed-worded scales.	14
Missing data in experiments: Challenges and solutions.	14
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.	14
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of psychopathology.	14
Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks.	14
Equivalent approaches to dealing with unobserved heterogeneity in cross-lagged panel models? Investigating the benefits and drawbacks of the latent curve model with structured residuals and the random	14
Noninferiority and equivalence tests in sequential, multiple assignment, randomized trials (SMARTs).	13
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	13
Out of bounds? The boundary specification problem for centrality in psychological networks.	13
Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.	13
Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling.	13
Controlling decision errors with minimal costs: The sequential probability ratio t test.	12
Beneath the surface: Unearthing within-person variability and mean relations with Bayesian mixed models.	12
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	12
A structural after measurement approach to structural equation modeling.	12
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.	12
The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial.	12
Psychometric and machine learning approaches for diagnostic assessment and tests of individual classification.	12

Comparing estimators for latent interaction models under structural and distributional misspecifications.	11
Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.	11
Subtypes of the missing not at random missing data mechanism.	11
Interrelationships between latent state-trait theory and generalizability theory within a structural equation modeling framework.	11
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.	11
New measures of effect size in moderation analysis.	11
Simulation-based sensitivity analysis for causal mediation studies.	10
A review of applications of the Bayes factor in psychological research.	10
Local minima and factor rotations in exploratory factor analysis.	10
Parsimony in model selection: Tools for assessing fit propensity.	10
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.	10
The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis.	10
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	10
Practical challenges and methodological flexibility in prior elicitation.	10
We need to change how we compute RMSEA for nested model comparisons in structural equation modeling.	10
Some researchers wear yellow pants, but even fewer participants read consent forms: Exploring and improving consent form reading in human subjects research.	9
Distributionally weighted least squares in structural equation modeling.	9
How much bias results if a quasi-experimental design combines local comparison groups, a pretest outcome measure and other covariates?: A within study comparison of preschool effects.	9
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).	9
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	9
A flexible moderated factor analysis approach to test for measurement invariance across a continuous variable.	8
Using synthetic data to improve the reproducibility of statistical results in psychological research.	8
Deductive data mining.	8
The accuracy of reliability coefficients: A reanalysis of existing simulations.	8
Evaluation of heterogeneity and heterogeneity interval estimators in random-effects meta-analysis of the standardized mean difference in education and psychology.	8
Heywood you go away! Examining causes, effects, and treatments for Heywood cases in exploratory factor analysis.	8
Cubic response surface analysis: Investigating asymmetric and level-dependent congruence effects with third-order polynomial models.	8
A tutorial on the meta-analytic structural equation modeling of reliability coefficients.	8
Using structural equation modeling to study traits and states in intensive longitudinal data.	8
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.	8
A general Monte Carlo method for sample size analysis in the context of network models.	8
Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.	8
A multiple imputation score test for model modification in structural equation models.	7
A causal theory of error scores.	7
Different approaches to modeling response styles in divide-by-total item response theory models (part 2): Applications and novel extensions.	7
A structural equation modeling approach for modeling variability as a latent variable.	7
Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND.	7
The big, the bad, and the ugly: Geographic estimation with flawed psychological data.	7
Troubleshooting Bayesian cognitive models.	7
Factor analyzing ordinal items requires substantive knowledge of response marginals.	7
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	7
Autoregressive mediation models using composite scores and latent variables: Comparisons and recommendations.	7
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	6
Evaluation of inequality constrained hypotheses using a generalization of the AIC.	6
Monte Carlo simulations using extant data to mimic populations: Applications to the modified linear probability model and logistic regression.	6
Interrater reliability for multilevel data: A generalizability theory approach.	6
Using social network analysis in applied psychological research: A tutorial.	6
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	6
Reconsidering statistical methods for assessing replication.	6
A partially confirmatory approach to scale development with the Bayesian Lasso.	6
Bayesian modeling of associations in bivariate piecewise linear mixed-effects models.	6
Reciprocal relations in categorical variables.	6
Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.	6
Model-based incremental validity.	6
Misspecification and unreliable interpretations in psychology and social science.	6
How to develop, test, and extend multinomial processing tree models: A tutorial.	5
Evaluating a theory-based hypothesis against its complement using an AIC-type information criterion with an application to facial burn injury.	5
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	5
Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure.	5
The sum of all fears: Comparing networks based on symptom sum-scores.	5
Applying multivariate generalizability theory to psychological assessments.	5
Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.	5
Regularized structural equation modeling with stability selection.	5
A multidimensional zero-inflated graded response model for ordinal symptom data.	5
The search for causality: A comparison of different techniques for causal inference graphs.	5
Compositional data analysis tutorial.	5
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	5
The partial derivative framework for substantive regression effects.	5
How to think clearly about the central limit theorem.	5
A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics.	5
A tutorial on Bollen and Brand’s approach to modeling dynamics while attending to dynamic panel bias.	4
Is replication possible without fidelity?	4
Variational Bayesian methods for cognitive science.	4
Perspectives on Bayesian inference and their implications for data analysis.	4
Estimating both directed and undirected contemporaneous relations in time series data using hybrid-group iterative multiple model estimation.	4
Assessing the fitting propensity of factor models.	4
Meta-analytic criterion profile analysis.	4
A regularization method for linking brain and behavior.	4
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	4
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	4

Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	4
A tutorial on the analysis of experiments using BANOVA.	4
Intermittent faking of personality profiles in high-stakes assessments: A grade of membership analysis.	4
Intensive longitudinal mediation in Mplus.	4
Model specification for nonlinearity and heterogeneity of regression in randomized pretest posttest studies: Practical solutions for missing data.	4
An introduction to model implied instrumental variables using two stage least squares (MIIV-2SLS) in structural equation models (SEMs).	4
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	4
Sample size planning for replication studies: The devil is in the design.	4
Comparing estimation methods for psychometric networks with ordinal data.	4
Reliability and omega hierarchical in multidimensional data: A comparison of various estimators.	4
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	4
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.	4
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	3
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models.	3
Using natural language processing and machine learning to replace human content coders.	3
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	3
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	3
Methods for estimating the sampling variance of the standardized mean difference.	3
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	3
Using prior information to plan appropriately powered regression studies: A tutorial using BUCSS.	3
Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.	3
Improving the efficiency of surveys with randomized response models: A sequential approach based on curtailed sampling.	3
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations	3
Switching cluster membership in cluster randomized control trials: Implications for design and analysis.	3
Distributional causal effects: Beyond an “averagarian” view of intervention effects.	3
Nonconvergence, covariance constraints, and class enumeration in growth mixture models.	3
Sample size calculation and optimal design for regression-based norming of tests and questionnaires.	3
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	3
Does every study? Implementing ordinal constraint in meta-analysis.	3
Situation strength as a basis for interactions in psychological models.	3
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	3
Towards an encompassing theory of network models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, and Wasserman (2019).	3
Investigating the impact of the time interval selection on autoregressive mediation modeling: Result interpretations, effect reporting, and temporal designs.	3
Aberrant distortion of variance components in multilevel models under conflation of level-specific effects.	3
Estimating social influence in a social network using potential outcomes.	3
Causal mediation effects in single case experimental designs.	3
Ubiquitous bias and false discovery due to model misspecification in analysis of statistical interactions: The role of the outcome’s distribution and metric properties.	3
Bayesian estimation and model selection in group-based trajectory models.	3
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	3
Regression discontinuity designs in a latent variable framework.	3
Missing data: An update on the state of the art.	3
Dimensionality assessment in bifactor structures with multiple general factors: A network psychometrics approach.	3
The within-between dispute in cross-lagged panel research and how to move forward.	3
Why overfitting is not (usually) a problem in partial correlation networks.	3
Comparing theories with the Ising model of explanatory coherence.	3
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	2
Comparing revised latent state–trait models including autoregressive effects.	2
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.	2
Modeling individual differences in the timing of change onset and offset.	2
Error tight: Exercises for lab groups to prevent research mistakes.	2
Learning to live with sampling variability: Expected replicability in partial correlation networks.	2
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	2
On the white, the black, and the many shades of gray in between: Our reply to Van Ravenzwaaij and Wagenmakers (2021).	2
Comparing methods for assessing a difference in correlations with dependent groups, measurement error, nonnormality, and incomplete data.	2
Interpretable machine learning for psychological research: Opportunities and pitfalls.	2
Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.	2
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	2
New computations for RMSEA and CFI following FIML and TS estimation with missing data.	2
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	2
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	2
Demystifying omega squared: Practical guidance for effect size in common analysis of variance designs.	2
Regularized continuous time structural equation models: A network perspective.	2
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	2
Mediation analysis using Bayesian tree ensembles.	2
Bayesian approaches to designing replication studies.	2
Assessing an alternative for “negative variance components”: A gentle introduction to Bayesian covariance structure modeling for negative associations among patients with personalized treatments.	2
Reconsideration of the type I error rate for psychological science in the era of replication.	2
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	2
Improving content validity evaluation of assessment instruments through formal content validity analysis.	2
Seeing the impossible: Visualizing latent variable models with flexplavaan.	2
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.	2
Meta-analysis of correlation coefficients: A cautionary tale on treating measurement error.	2
A modified approach to fitting relative importance networks.	2
Selecting scaling indicators in structural equation models (sems).	2
Evaluating multinomial order restrictions with bridge sampling.	2
Tangle: A metric for quantifying complexity and erratic behavior in short time series.	2
Two-stage path analysis with definition variables: An alternative framework to account for measurement error.	2
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	2
Evaluating classification performance: Receiver operating characteristic and expected utility.	2
A simple, general, and efficient method for sequential hypothesis testing: The independent segments procedure.	2
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	2
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	2
A true score imputation method to account for psychometric measurement error.	1
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	1
Estimating time-varying treatment effects in longitudinal studies.	1
Determining the number of factors using parallel analysis and its recent variants: Comment on Lim and Jahng (2019).	1
Predicting social relations model effects from conditional expectations.	1
Subgroup discovery in structural equation models.	1
Multivariate analysis of covariance for heterogeneous and incomplete data.	1
A default Bayes factor for testing null hypotheses about the fixed effects of linear two-level models.	1
Evaluating predictors’ relative importance using Bayes factors in regression models.	1
Improved confidence intervals for differences between standardized effect sizes.	1
Pooling methods for likelihood ratio tests in multiply imputed data sets.	1
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?	1
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.	1