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Daniel McNeish - Publications

Affiliations: 
2016-2016 Methodology & Statistics Utrecht University, Utrecht, Netherlands 
 2016-2017 University of North Carolina, Chapel Hill, Chapel Hill, NC 
 2017- Quantitative Psychology Arizona State University, Tempe, AZ, United States 
Area:
Statistics
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47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Cole VT, Hussong AM, McNeish DM, Ennett ST, Rothenberg AW, Gottfredson NC, Faris RW. The Role of Social Position Within Peer Groups in Distress-Motivated Smoking Among Adolescents. Journal of Studies On Alcohol and Drugs. 83: 420-429. PMID 35590183  0.633
2022 McNeish D, Harring JR, Bauer DJ. Nonconvergence, covariance constraints, and class enumeration in growth mixture models. Psychological Methods. PMID 35575725 DOI: 10.1037/met0000456  0.516
2021 McNeish D, Bauer DJ, Dumas D, Clements DH, Cohen JR, Lin W, Sarama J, Sheridan MA. Modeling individual differences in the timing of change onset and offset. Psychological Methods. PMID 34570554 DOI: 10.1037/met0000407  0.518
2021 Blake AJ, McNeish D, Chassin L. Heterogeneity in effects of parent-child separation on young-adult substance use disorder. Journal of Family Psychology : Jfp : Journal of the Division of Family Psychology of the American Psychological Association (Division 43). PMID 34060892 DOI: 10.1037/fam0000880  0.434
2020 McNeish D, Bauer DJ. Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models. Multivariate Behavioral Research. 1-23. PMID 33955291 DOI: 10.1080/00273171.2020.1830019  0.522
2020 McNeish D, Wolf MG. Thinking twice about sum scores. Behavior Research Methods. PMID 32323277 DOI: 10.3758/S13428-020-01398-0  0.304
2020 McNeish D, Hamaker EL. A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods. 25: 610-635. PMID 31855015 DOI: 10.1037/Met0000250  0.336
2020 McNeish D, Harring J. Covariance pattern mixture models: Eliminating random effects to improve convergence and performance. Behavior Research Methods. 52: 947-979. PMID 31512175 DOI: 10.3758/S13428-019-01292-4  0.351
2020 McNeish D. Specifying Location-Scale Models for Heterogeneous Variances as Multilevel SEMs: Organizational Research Methods. 109442812091308. DOI: 10.1177/1094428120913083  0.318
2020 McNeish D. Should We Use F-Tests for Model Fit Instead of Chi-Square in Overidentified Structural Equation Models?: Organizational Research Methods. 23: 487-510. DOI: 10.1177/1094428118809495  0.335
2020 McNeish D, Matta TH. Flexible Treatment of Time-Varying Covariates with Time Unstructured Data Structural Equation Modeling. 27: 298-317. DOI: 10.1080/10705511.2019.1627213  0.323
2020 Dumas D, McNeish D, Greene JA. Dynamic measurement: A theoretical–psychometric paradigm for modern educational psychology Educational Psychologist. 55: 88-105. DOI: 10.1080/00461520.2020.1744150  0.591
2019 McNeish D. Two-Level Dynamic Structural Equation Models with Small Samples. Structural Equation Modeling : a Multidisciplinary Journal. 26: 948-966. PMID 32863699 DOI: 10.1080/10705511.2019.1578657  0.333
2019 McNeish D, Dumas DG, Grimm KJ. Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance. Multivariate Behavioral Research. 1-16. PMID 31749386 DOI: 10.1080/00273171.2019.1691484  0.353
2019 Dumas D, McNeish D, Schreiber-Gregory D, Durning SJ, Torre DM. Dynamic Measurement in Health Professions Education: Rationale, Application, and Possibilities. Academic Medicine : Journal of the Association of American Medical Colleges. 94: 1323-1328. PMID 31460924 DOI: 10.1097/Acm.0000000000002729  0.308
2019 Hussong AM, Ennett ST, McNeish DM, Cole VT, Gottfredson NC, Rothenberg WA, Faris RW. Social network isolation mediates associations between risky symptoms and substance use in the high school transition. Development and Psychopathology. 1-16. PMID 31232267 DOI: 10.1017/S095457941900049X  0.654
2019 McNeish D. Effect Partitioning in Cross-Sectionally Clustered Data Without Multilevel Models. Multivariate Behavioral Research. 54: 906-925. PMID 31021178 DOI: 10.1080/00273171.2019.1602504  0.345
2019 McNeish D. Poisson Multilevel Models with Small Samples. Multivariate Behavioral Research. 54: 444-455. PMID 30663387 DOI: 10.1080/00273171.2018.1545630  0.315
2019 McNeish D, Dumas DG. Scoring Repeated Standardized Tests to Estimate Capacity, Not Just Current Ability: Policy Insights From the Behavioral and Brain Sciences. 6: 218-224. DOI: 10.1177/2372732219862578  0.31
2019 Dumas D, McNeish D, Sarama J, Clements D. Preschool Mathematics Intervention Can Significantly Improve Student Learning Trajectories Through Elementary School Aera Open. 5: 233285841987944. DOI: 10.1177/2332858419879446  0.304
2019 Wentzel KR, Tomback R, Williams A, McNeish D. Perceptions of competence, control, and belongingness over the transition to high school: A mixed-method study Contemporary Educational Psychology. 56: 55-66. DOI: 10.1016/J.Cedpsych.2018.11.005  0.318
2018 Hussong AM, Ennett ST, McNeish D, Rothenberg WA, Cole V, Gottfredson NC, Faris RW. Teen Social Networks and Depressive Symptoms-Substance Use Associations: Developmental and Demographic Variation. Journal of Studies On Alcohol and Drugs. 79: 770-780. PMID 30422791 DOI: 10.15288/Jsad.2018.79.770  0.66
2018 McNeish D, Kelley K. Fixed effects models versus mixed effects models for clustered data: Reviewing the approaches, disentangling the differences, and making recommendations. Psychological Methods. PMID 29863377 DOI: 10.1037/Met0000182  0.338
2018 McNeish D, Hancock GR. The effect of measurement quality on targeted structural model fit indices: A comment on Lance, Beck, Fan, and Carter (2016). Psychological Methods. 23: 184-190. PMID 29517268 DOI: 10.1037/Met0000157  0.565
2018 McNeish D, Matta T. Differentiating between mixed-effects and latent-curve approaches to growth modeling. Behavior Research Methods. 50: 1398-1414. PMID 29067672 DOI: 10.3758/S13428-017-0976-5  0.381
2018 McNeish D. Brief Research Report: Growth Models With Small Samples and Missing Data Journal of Experimental Education. 86: 690-701. DOI: 10.1080/00220973.2017.1369384  0.339
2018 McNeish D. Applying Kaplan-Meier to Item Response Data. Journal of Experimental Education. 86: 308-324. DOI: 10.1080/00220973.2017.1301355  0.34
2018 Wentzel KR, Muenks K, McNeish D, Russell S. Emotional support, social goals, and classroom behavior: A multilevel, multisite study. Journal of Educational Psychology. 110: 611-627. DOI: 10.1037/Edu0000239  0.341
2017 McNeish D. Fitting Residual Error Structures for Growth Models in SAS PROC MCMC. Educational and Psychological Measurement. 77: 587-612. PMID 30034021 DOI: 10.1177/0013164416652441  0.342
2017 McNeish D, Harring JR. Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete Data. Educational and Psychological Measurement. 77: 990-1018. PMID 29795942 DOI: 10.1177/0013164416661824  0.369
2017 Harring JR, McNeish DM, Hancock GR. Using phantom variables in structural equation modeling to assess model sensitivity to external misspecification. Psychological Methods. 22: 616-631. PMID 29265846 DOI: 10.1037/Met0000103  0.51
2017 McNeish D. Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger Correction. Multivariate Behavioral Research. 52: 661-670. PMID 28715244 DOI: 10.1080/00273171.2017.1344538  0.332
2017 McNeish D, An J, Hancock GR. The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models. Journal of Personality Assessment. 1-10. PMID 28631976 DOI: 10.1080/00223891.2017.1281286  0.573
2017 McNeish D. Exploratory Factor Analysis With Small Samples and Missing Data. Journal of Personality Assessment. 99: 637-652. PMID 27929657 DOI: 10.1080/00223891.2016.1252382  0.356
2017 McNeish D. Challenging Conventional Wisdom for Multivariate Statistical Models with Small Samples. Review of Educational Research. 87: 1117-1151. DOI: 10.3102/0034654317727727  0.303
2017 McNeish D. Multilevel Mediation With Small Samples: A Cautionary Note on the Multilevel Structural Equation Modeling Framework Structural Equation Modeling. 24: 609-625. DOI: 10.1080/10705511.2017.1280797  0.318
2017 McNeish D. Missing data methods for arbitrary missingness with small samples Journal of Applied Statistics. 44: 24-39. DOI: 10.1080/02664763.2016.1158246  0.319
2017 Wentzel KR, Muenks K, McNeish D, Russell S. Peer and teacher supports in relation to motivation and effort: A multi-level study Contemporary Educational Psychology. 49: 32-45. DOI: 10.1016/J.Cedpsych.2016.11.002  0.316
2016 Kang Y, McNeish DM, Hancock GR. The Role of Measurement Quality on Practical Guidelines for Assessing Measurement and Structural Invariance. Educational and Psychological Measurement. 76: 533-561. PMID 29795877 DOI: 10.1177/0013164415603764  0.525
2016 McNeish D, Wentzel KR. Accommodating Small Sample Sizes in Three-Level Models When the Third Level is Incidental. Multivariate Behavioral Research. 1-16. PMID 28010127 DOI: 10.1080/00273171.2016.1262236  0.326
2016 McNeish D, Dumas D. Nonlinear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential. Multivariate Behavioral Research. 1-25. PMID 27911083 DOI: 10.1080/00273171.2016.1253451  0.376
2016 McNeish D. Estimation Methods for Mixed Logistic Models with Few Clusters. Multivariate Behavioral Research. 51: 790-804. PMID 27802068 DOI: 10.1080/00273171.2016.1236237  0.33
2016 McNeish D, Stapleton LM. Modeling Clustered Data with Very Few Clusters. Multivariate Behavioral Research. 51: 495-518. PMID 27269278 DOI: 10.1080/00273171.2016.1167008  0.332
2016 McNeish D, Stapleton LM, Silverman RD. On the Unnecessary Ubiquity of Hierarchical Linear Modeling. Psychological Methods. PMID 27149401 DOI: 10.1037/Met0000078  0.35
2016 Kang Y, McNeish DM, Hancock GR. The Role of Measurement Quality on Practical Guidelines for Assessing Measurement and Structural Invariance Educational and Psychological Measurement. 76: 533-561. DOI: 10.1177/0013164415603764  0.526
2016 McNeish D. On Using Bayesian Methods to Address Small Sample Problems Structural Equation Modeling. 23: 750-773. DOI: 10.1080/10705511.2016.1186549  0.319
2015 Hancock GR, McNeish DM. More Powerful Tests of Simple Interaction Contrasts in the Two-Way Factorial Design Journal of Experimental Education. 1-14. DOI: 10.1080/00220973.2015.1065220  0.453
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