Psychological Methods

Papers
(The TQCC of Psychological Methods is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-02-01 to 2024-02-01.)
ArticleCitations
Comparing network structures on three aspects: A permutation test.203
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.162
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.156
The fixed versus random effects debate and how it relates to centering in multilevel modeling.114
Effect size guidelines for cross-lagged effects.110
Worse than measurement error: Consequences of inappropriate latent variable measurement models.108
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.104
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.94
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.86
Meta-analytic structural equation modeling with moderating effects on SEM parameters.79
Reporting standards for psychological network analyses in cross-sectional data.79
Dynamic fit index cutoffs for confirmatory factor analysis models.73
A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.72
Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood.71
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.57
Toward a principled Bayesian workflow in cognitive science.56
Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.51
A tutorial on assessing statistical power and determining sample size for structural equation models.45
Managing validity versus reliability trade-offs in scale-building decisions.45
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.43
Composite reliability of multilevel data: It’s about observed scores and construct meanings.37
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?32
Centering categorical predictors in multilevel models: Best practices and interpretation.31
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.31
A tutorial on bayesian networks for psychopathology researchers.31
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.30
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.30
Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.30
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.28
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.27
Using anticlustering to partition data sets into equivalent parts.27
Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.27
Modeling psychopathology: From data models to formal theories.27
The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.26
Partitioning variation in multilevel models for count data.25
Ten frequently asked questions about latent transition analysis.25
Workflow techniques for the robust use of bayes factors.24
Latent variable GIMME using model implied instrumental variables (MIIVs).24
The measurement of the mediator and its influence on statistical mediation conclusions.23
SMART longitudinal analysis: A tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions.22
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.21
Recovering bifactor models: A comparison of seven methods.21
Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation.21
Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports.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
A tutorial on regression-based norming of psychological tests with GAMLSS.19
Flexplot: Graphically-based data analysis.18
Measurement invariance testing using confirmatory factor analysis and alignment optimization: A tutorial for transparent analysis planning and reporting.17
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.17
Latent transition analysis with random intercepts (RI-LTA).17
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.16
Investigating the feasibility of idiographic network models.16
A bifactor approach to subscore assessment.15
Deep learning: A primer for psychologists.15
Avoiding bias from sum scores in growth estimates: An examination of IRT-based approaches to scoring longitudinal survey responses.15
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of psychopathology.14
Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.13
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.13
Missing data in experiments: Challenges and solutions.13
Out of bounds? The boundary specification problem for centrality in psychological networks.13
The meaning of scientific objectivity and subjectivity: From the perspective of methodologists.13
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 random12
Psychometric and machine learning approaches for diagnostic assessment and tests of individual classification.12
Noninferiority and equivalence tests in sequential, multiple assignment, randomized trials (SMARTs).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.11
A review of applications of the Bayes factor in psychological research.11
Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.11
Comparing estimators for latent interaction models under structural and distributional misspecifications.11
Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling.11
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.11
The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial.11
Interrelationships between latent state-trait theory and generalizability theory within a structural equation modeling framework.11
A constrained factor mixture analysis model for consistent and inconsistent respondents to mixed-worded scales.11
Subtypes of the missing not at random missing data mechanism.10
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.10
The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis.10
New measures of effect size in moderation analysis.10
Simulation-based sensitivity analysis for causal mediation studies.10
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).9
We need to change how we compute RMSEA for nested model comparisons in structural equation modeling.9
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.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
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.9
Controlling decision errors with minimal costs: The sequential probability ratio t test.9
Distributionally weighted least squares in structural equation modeling.9
Some researchers wear yellow pants, but even fewer participants read consent forms: Exploring and improving consent form reading in human subjects research.9
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.9
A structural after measurement approach to structural equation modeling.9
Local minima and factor rotations in exploratory factor analysis.9
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
A general Monte Carlo method for sample size analysis in the context of network models.8
A flexible moderated factor analysis approach to test for measurement invariance across a continuous variable.8
Parsimony in model selection: Tools for assessing fit propensity.8
Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.8
Using synthetic data to improve the reproducibility of statistical results in psychological research.8
Deductive data mining.8
A tutorial on the meta-analytic structural equation modeling of reliability coefficients.8
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.7
Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND.7
Using structural equation modeling to study traits and states in intensive longitudinal data.7
The big, the bad, and the ugly: Geographic estimation with flawed psychological data.7
A causal theory of error scores.7
Autoregressive mediation models using composite scores and latent variables: Comparisons and recommendations.7
Factor analyzing ordinal items requires substantive knowledge of response marginals.6
Model-based incremental validity.6
Modeling of self-report behavior data using the generalized covariates in a uniform and shifted binomial mixture model: An empirical example and Monte Carlo simulation.6
The accuracy of reliability coefficients: A reanalysis of existing simulations.6
A structural equation modeling approach for modeling variability as a latent variable.6
A multiple imputation score test for model modification in structural equation models.6
Interrater reliability for multilevel data: A generalizability theory approach.6
Misspecification and unreliable interpretations in psychology and social science.6
Reciprocal relations in categorical variables.6
Monte Carlo simulations using extant data to mimic populations: Applications to the modified linear probability model and logistic regression.6
Reconsidering statistical methods for assessing replication.6
A partially confirmatory approach to scale development with the Bayesian Lasso.6
Troubleshooting Bayesian cognitive models.6
Evaluation of inequality constrained hypotheses using a generalization of the AIC.6
The search for causality: A comparison of different techniques for causal inference graphs.5
Compositional data analysis tutorial.5
Regularized structural equation modeling with stability selection.5
Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure.5
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.5
Evaluating a theory-based hypothesis against its complement using an AIC-type information criterion with an application to facial burn injury.5
Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.5
A multidimensional zero-inflated graded response model for ordinal symptom data.5
The sum of all fears: Comparing networks based on symptom sum-scores.5
How to develop, test, and extend multinomial processing tree models: A tutorial.5
The partial derivative framework for substantive regression effects.5
How to think clearly about the central limit theorem.5
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.5
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