Psychological Methods

Papers
(The TQCC of Psychological Methods is 6. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Comparing network structures on three aspects: A permutation test.219
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.176
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.173
Effect size guidelines for cross-lagged effects.135
The fixed versus random effects debate and how it relates to centering in multilevel modeling.122
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.109
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.100
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.100
Reporting standards for psychological network analyses in cross-sectional data.89
Meta-analytic structural equation modeling with moderating effects on SEM parameters.87
Dynamic fit index cutoffs for confirmatory factor analysis models.83
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn.71
Toward a principled Bayesian workflow in cognitive science.62
Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.61
p-Hacking and publication bias interact to distort meta-analytic effect size estimates.60
A tutorial on assessing statistical power and determining sample size for structural equation models.52
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.46
Managing validity versus reliability trade-offs in scale-building decisions.46
Composite reliability of multilevel data: It’s about observed scores and construct meanings.45
A tutorial on bayesian networks for psychopathology researchers.39
What is a Bayes factor?37
The Semantic Scale Network: An online tool to detect semantic overlap of psychological scales and prevent scale redundancies.37
Centering categorical predictors in multilevel models: Best practices and interpretation.36
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.35
Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection.35
Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.35
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.34
Modeling psychopathology: From data models to formal theories.32
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.32
Ten frequently asked questions about latent transition analysis.32
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.31
Using anticlustering to partition data sets into equivalent parts.30
Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.29
Partitioning variation in multilevel models for count data.29
The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.28
Workflow techniques for the robust use of bayes factors.27
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.27
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.26
Latent variable GIMME using model implied instrumental variables (MIIVs).26
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.24
The measurement of the mediator and its influence on statistical mediation conclusions.24
Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation.23
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.23
Recovering bifactor models: A comparison of seven methods.21
Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports.20
Measurement invariance testing using confirmatory factor analysis and alignment optimization: A tutorial for transparent analysis planning and reporting.20
A tutorial on regression-based norming of psychological tests with GAMLSS.20
Flexplot: Graphically-based data analysis.19
Investigating the feasibility of idiographic network models.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
Latent transition analysis with random intercepts (RI-LTA).18
Deep learning: A primer for psychologists.18
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.17
Different approaches to modeling response styles in divide-by-total item response theory models (part 1): A model integration.17
Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks.16
Avoiding bias from sum scores in growth estimates: An examination of IRT-based approaches to scoring longitudinal survey responses.16
A bifactor approach to subscore assessment.16
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.15
The meaning of scientific objectivity and subjectivity: From the perspective of methodologists.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 random14
A constrained factor mixture analysis model for consistent and inconsistent respondents to mixed-worded scales.14
Missing data in experiments: Challenges and solutions.14
Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling.14
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.14
Out of bounds? The boundary specification problem for centrality in psychological networks.14
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
We need to change how we compute RMSEA for nested model comparisons in structural equation modeling.13
Noninferiority and equivalence tests in sequential, multiple assignment, randomized trials (SMARTs).13
Controlling decision errors with minimal costs: The sequential probability ratio t test.13
The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial.13
A structural after measurement approach to structural equation modeling.13
Beneath the surface: Unearthing within-person variability and mean relations with Bayesian mixed models.12
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.12
New measures of effect size in moderation analysis.12
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.12
Psychometric and machine learning approaches for diagnostic assessment and tests of individual classification.12
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.12
Interrelationships between latent state-trait theory and generalizability theory within a structural equation modeling framework.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
Parsimony in model selection: Tools for assessing fit propensity.11
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.11
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.11
Local minima and factor rotations in exploratory factor analysis.10
The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis.10
A review of applications of the Bayes factor in psychological research.10
Some researchers wear yellow pants, but even fewer participants read consent forms: Exploring and improving consent form reading in human subjects research.10
Practical challenges and methodological flexibility in prior elicitation.10
Simulation-based sensitivity analysis for causal mediation studies.10
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.9
Using synthetic data to improve the reproducibility of statistical results in psychological research.9
A tutorial on the meta-analytic structural equation modeling of reliability coefficients.9
A flexible moderated factor analysis approach to test for measurement invariance across a continuous variable.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
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).9
A causal theory of error scores.9
Distributionally weighted least squares in structural equation modeling.9
Heywood you go away! Examining causes, effects, and treatments for Heywood cases in exploratory factor analysis.8
A partially confirmatory approach to scale development with the Bayesian Lasso.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
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
Using structural equation modeling to study traits and states in intensive longitudinal data.8
Deductive data mining.8
Cubic response surface analysis: Investigating asymmetric and level-dependent congruence effects with third-order polynomial models.8
A multiple imputation score test for model modification in structural equation models.7
Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND.7
Autoregressive mediation models using composite scores and latent variables: Comparisons and recommendations.7
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.7
A structural equation modeling approach for modeling variability as a latent variable.7
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.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
Reconsidering statistical methods for assessing replication.7
Using social network analysis in applied psychological research: A tutorial.7
Different approaches to modeling response styles in divide-by-total item response theory models (part 2): Applications and novel extensions.7
Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.6
Interrater reliability for multilevel data: A generalizability theory approach.6
Bayesian modeling of associations in bivariate piecewise linear mixed-effects models.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
How to develop, test, and extend multinomial processing tree models: A tutorial.6
Model-based incremental validity.6
Variational Bayesian methods for cognitive science.6
Evaluation of inequality constrained hypotheses using a generalization of the AIC.6
Applying multivariate generalizability theory to psychological assessments.6
Reliability and omega hierarchical in multidimensional data: A comparison of various estimators.6
Misspecification and unreliable interpretations in psychology and social science.6
Sample size planning for replication studies: The devil is in the design.6
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.6
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