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Wing Chung Lam, Ronnel B. King, Susanna Siu-Sze Yeung & Ching Hsiang Zhoc. (2023) Mind-sets in Early Childhood: The Relations Among Growth Mindset, Engagement and Well-Being Among First Grade Students. Early Education and Development 34:6, pages 1325-1340.
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Roy Levy & Craig K. Enders. (2023) Full conditional distributions for Bayesian multilevel models with additive or interactive effects and missing data on covariates. Communications in Statistics - Simulation and Computation 52:7, pages 2899-2923.
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Heather Littleton, Michael L. Dolezal, Ashley Batts Allen & Charles C. Benight. (2023) Random intercept cross-lagged relations among trauma coping self-Efficacy, trauma coping, and PTSD symptoms among rural hurricane survivors. Anxiety, Stress, & Coping 0:0, pages 1-15.
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Lihan Chen, Victoria Savalei & Mijke Rhemtulla. (2023) Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients. Multivariate Behavioral Research 0:0, pages 1-26.
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Alan V. Brown, Stayc DuBravac, Michael Toland & Earl Kjar Brown. (2023) Metalinguistic awareness in Spanish partial immersion and English-only elementary students. Journal of Spanish Language Teaching 10:1, pages 29-44.
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G. Anne Bogat, Kristyn Wong, Maria Muzik, Joseph S. Lonstein, Amy K. Nuttall, Alytia A. Levendosky, Cara F. Colao, Alanah Hall, Kara Cochran, Kathryn R. Forche, Allison Koneczny, Amanda Gareffa, Olivia Oates, Stephanie Robinson, Alexandra Ballinger & Sara F. Stein. (2023) Conducting virtual assessments in developmental research: COVID-19 restrictions as a case example. Applied Developmental Science 27:1, pages 1-17.
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Joseph M. Kush, Katherine E. Masyn, Masoumeh Amin-Esmaeili, Ryoko Susukida, Holly C. Wilcox & Rashelle J. Musci. (2023) Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial. Structural Equation Modeling: A Multidisciplinary Journal 30:1, pages 149-164.
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Sarah Humberg & Simon Grund. (2022) Response Surface Analysis with Missing Data. Multivariate Behavioral Research 57:4, pages 581-602.
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Nico Seifert, Daniel Seddig & Jan Eckhard. (2022) Does social isolation affect physical and mental health? A test of the social causation hypothesis using dynamic panel models with fixed effects. Aging & Mental Health 26:7, pages 1353-1367.
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Heather Littleton, Laura Haney, Alex Schoemann, Ashley Allen & Charles Benight. (2022) Received support in the aftermath of Hurricane Florence: reciprocal relations among perceived support, community solidarity, and PTSD. Anxiety, Stress, & Coping 35:3, pages 270-283.
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Remy Pages, John Protzko & Drew H. Bailey. (2022) The Breadth of Impacts from the Abecedarian Project Early Intervention on Cognitive Skills. Journal of Research on Educational Effectiveness 15:2, pages 243-262.
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A. A. Charlot Colomès, S. Duchesne & G. Boisclair Châteauvert. (2021) Autonomy support and school adjustment: The mediating role of basic psychological needs. International Journal of School & Educational Psychology 9:sup1, pages S182-S200.
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Nicolas Hübner, Corey Savage, Cornelia Gräsel & Albrecht Wacker. (2021) Who buys into curricular reforms and why? Investigating predictors of reform ratings from teachers in Germany. Journal of Curriculum Studies 53:6, pages 802-820.
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Dustin Schiering, Stefan Sorge & Knut Neumann. (2021) Promoting progression in higher education teacher training: how does cognitive support enhance student physics teachers’ content knowledge development?. Studies in Higher Education 46:10, pages 2022-2034.
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Joonkil Ahn, Alex J Bowers & Anjalé D Welton. (2021) Leadership for learning as an organization-wide practice: evidence on its multilevel structure and implications for educational leadership practice and research. International Journal of Leadership in Education 0:0, pages 1-52.
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Jessica A. M. Mazen & Xin Tong. (2021) Bias Correction for Replacement Samples in Longitudinal Research. Multivariate Behavioral Research 56:5, pages 805-827.
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Juan Diego Vera & Craig K. Enders. (2021) Is Item Imputation Always Better? An Investigation of Wave-Missing Data in Growth Models. Structural Equation Modeling: A Multidisciplinary Journal 28:4, pages 506-517.
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Juan Pablo Román-Calderón, Sara Aguilar-Barrientos, Juan EstebanEscalante, Alejandro Arias & Jaime Barbosa. (2021) Job Tension Growth and Emotional Intelligence in Challenge-Based Learning. The Journal of Psychology 155:3, pages 257-274.
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Joseph E. Gonzales. (2021) Structural Equation Modeling with JMP® Pro. Measurement: Interdisciplinary Research and Perspectives 19:1, pages 80-92.
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Gavin I. Clark, Adam J. Rock, Laura H. Clark & Kerrin Murray‐lyon. (2020) Adult attachment, worry and reassurance seeking: Investigating the role of intolerance of uncertainty. Clinical Psychologist 24:3, pages 294-305.
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Stéphane Duchesne & Catherine F. Ratelle. (2020) Achievement goals, motivations, and social and emotional adjustment in high school: a longitudinal mediation test. Educational Psychology 40:8, pages 1033-1051.
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Nan Chen, Meijuan Li & Hongyun Liu. (2020) Comparison of maximum likelihood approach, Diggle–Kenward selection model, pattern mixture model with MAR and MNAR dropout data. Communications in Statistics - Simulation and Computation 49:7, pages 1746-1767.
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Megan C. Finsaas, Ellen M. Kessel, Lea R. Dougherty, Sara J. Bufferd, Allison P. Danzig, Joanne Davila, Gabrielle A. Carlson & Daniel N. Klein. (2020) Early Childhood Psychopathology Prospectively Predicts Social Functioning in Early Adolescence. Journal of Clinical Child & Adolescent Psychology 49:3, pages 353-364.
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Oliver Lüdtke, Alexander Robitzsch & Stephen G. West. (2020) Analysis of Interactions and Nonlinear Effects with Missing Data: A Factored Regression Modeling Approach Using Maximum Likelihood Estimation. Multivariate Behavioral Research 55:3, pages 361-381.
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Po-Yi Chen, Wei Wu, Mauricio Garnier-Villarreal, Benjamin Arthur Kite & Fan Jia. (2020) Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques. Multivariate Behavioral Research 55:1, pages 87-101.
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Cynthia A. Austin, Melissa Gerstle, Katherine T. Baum, Anne Bradley, Brenna LeJeune, James Peugh & Dean W. Beebe. (2019) Evolution of parental knowledge and efficacy across the pediatric neuropsychological evaluation process. The Clinical Neuropsychologist 33:4, pages 743-759.
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Marcus R. Waldman. (2019) Advancing Multiple Imputation for Latent Profile Analysis. Multivariate Behavioral Research 54:1, pages 157-158.
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Daniel McNeish. (2017) Exploratory Factor Analysis With Small Samples and Missing Data. Journal of Personality Assessment 99:6, pages 637-652.
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Gabriel Nagy, Martin Brunner, Oliver Lüdtke & Samuel Greiff. (2017) Extension Procedures for Confirmatory Factor Analysis. The Journal of Experimental Education 85:4, pages 574-596.
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ChangJian Deng & Dongyi Chen. (2017) A recombination information process method of missing data in WSN. International Journal of Electronics 104:6, pages 1063-1076.
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Hongli Li, Qi Qin & Pui-Wa Lei. (2017) An Examination of the Instructional Sensitivity of the TIMSS Math Items: A Hierarchical Differential Item Functioning Approach. Educational Assessment 22:1, pages 1-17.
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Ellen Schaffner & Ulrich Schiefele. (2016) The Contributions of Intrinsic and Extrinsic Reading Motivation to the Development of Reading Competence over Summer Vacation. Reading Psychology 37:6, pages 917-941.
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Ruth M. Stock, M. Melanie Strecker & Gisela I. Bieling. (2016) Organizational work–family support as universal remedy? A cross-cultural comparison of China, India and the USA. The International Journal of Human Resource Management 27:11, pages 1192-1216.
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Andreas Maercker, Peter Hilpert & Andrea Burri. (2016) Childhood trauma and resilience in old age: applying a context model of resilience to a sample of former indentured child laborers. Aging & Mental Health 20:6, pages 616-626.
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Sonya K. Sterba. (2016) Cautions on the Use of Multiple Imputation When Selecting Between Latent Categorical versus Continuous Models for Psychological Constructs. Journal of Clinical Child & Adolescent Psychology 45:2, pages 167-175.
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Tenko Raykov & George A. Marcoulides. (2016) Scale Reliability Evaluation Under Multiple Assumption Violations. Structural Equation Modeling: A Multidisciplinary Journal 23:2, pages 302-313.
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Jonathan T. Macy, Laurie Chassin, Clark C. Presson & Ellen Yeung. (2016) Exposure to graphic warning labels on cigarette packages: Effects on implicit and explicit attitudes towards smoking among young adults. Psychology & Health 31:3, pages 349-363.
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Tenko Raykov & Brady T. West. (2016) On Enhancing Plausibility of the Missing at Random Assumption in Incomplete Data Analyses via Evaluation of Response-Auxiliary Variable Correlations. Structural Equation Modeling: A Multidisciplinary Journal 23:1, pages 45-53.
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Iris Eekhout, Craig K. Enders, Jos W. R. Twisk, Michiel R. de Boer, Henrica C. W. de Vet & Martijn W. Heymans. (2015) Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables. Structural Equation Modeling: A Multidisciplinary Journal 22:4, pages 588-602.
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Mert Tokman, George D. Deitz & R. Glenn Richey. (2015) An Empirically Derived Taxonomy of Manufacturer–Retailer Channel Structures. Journal of Marketing Channels 22:4, pages 279-298.
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Gina L. Mazza, Craig K. Enders & Linda S. Ruehlman. (2015) Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation. Multivariate Behavioral Research 50:5, pages 504-519.
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Jason D. Edgerton, Timothy S. Melnyk & Lance W. Roberts. (2015) An exploratory study of multiple distinct gambling trajectories in emerging adults. Journal of Youth Studies 18:6, pages 743-762.
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Waylon J. Howard, Mijke Rhemtulla & Todd D. Little. (2015) Using Principal Components as Auxiliary Variables in Missing Data Estimation. Multivariate Behavioral Research 50:3, pages 285-299.
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Felix Thoemmes & Norman Rose. (2014) A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems. Multivariate Behavioral Research 49:5, pages 443-459.
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Tenko Raykov, Brooke C. Schneider, George A. Marcoulides & Peter A. Lichtenberg. (2014) Examining Measure Correlations With Incomplete Data Sets. Structural Equation Modeling: A Multidisciplinary Journal 21:2, pages 318-324.
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Victoria Savalei & Carl F. Falk. (2014) Robust Two-Stage Approach Outperforms Robust Full Information Maximum Likelihood With Incomplete Nonnormal Data. Structural Equation Modeling: A Multidisciplinary Journal 21:2, pages 280-302.
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Victoria Savalei. (2014) Understanding Robust Corrections in Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal 21:1, pages 149-160.
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JoostR. van Ginkel & PieterM. Kroonenberg. (2014) Analysis of Variance of Multiply Imputed Data. Multivariate Behavioral Research 49:1, pages 78-91.
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Daniel Paulson & PeterA. Lichtenberg. (2013) Vascular depression and frailty: a compound threat to longevity among older-old women. Aging & Mental Health 17:7, pages 901-910.
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Wei Wu & Fan Jia. (2013) A New Procedure to Test Mediation With Missing Data Through Nonparametric Bootstrapping and Multiple Imputation. Multivariate Behavioral Research 48:5, pages 663-691.
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ShelleyA. Blozis, Xiaojia Ge, Shu Xu, MisakiN. Natsuaki, DanielS. Shaw, JenaeM. Neiderhiser, LauraV. Scaramella, LeslieD. Leve & David Reiss. (2013) Sensitivity Analysis of Multiple Informant Models When Data Are Not Missing at Random. Structural Equation Modeling: A Multidisciplinary Journal 20:2, pages 283-298.
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CraigD. Marker, JonathanS. Comer, Viktoriya Abramova & PhilipC. Kendall. (2013) The Reciprocal Relationship Between Alliance and Symptom Improvement Across the Treatment of Childhood Anxiety. Journal of Clinical Child & Adolescent Psychology 42:1, pages 22-33.
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Mijke Rhemtulla & ToddD. Little. (2012) Planned Missing Data Designs for Research in Cognitive Development. Journal of Cognition and Development 13:4, pages 425-438.
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Tenko Raykov & Anna Zajacova. (2012) On Latent Change Model Choice in Longitudinal Studies. Structural Equation Modeling: A Multidisciplinary Journal 19:4, pages 580-592.
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Victoria Savalei & Mijke Rhemtulla. (2012) On Obtaining Estimates of the Fraction of Missing Information From Full Information Maximum Likelihood. Structural Equation Modeling: A Multidisciplinary Journal 19:3, pages 477-494.
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Tenko Raykov, PeterA. Lichtenberg & Daniel Paulson. (2012) Examining the Missing Completely at Random Mechanism in Incomplete Data Sets: A Multiple Testing Approach. Structural Equation Modeling: A Multidisciplinary Journal 19:3, pages 399-408.
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Anne
C. Black, Ofer Harel & D. Betsy McCoach. (2011) Missing data techniques for multilevel data: implications of model misspecification. Journal of Applied Statistics 38:9, pages 1845-1865.
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Tenko Raykov. (2011) On Testability of Missing Data Mechanisms in Incomplete Data Sets. Structural Equation Modeling: A Multidisciplinary Journal 18:3, pages 419-429.
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CraigK. Enders & AmandaC. Gottschall. (2011) Multiple Imputation Strategies for Multiple Group Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal 18:1, pages 35-54.
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HanaM. Vujeva & Wyndol Furman. (2011) Depressive Symptoms and Romantic Relationship Qualities from Adolescence Through Emerging Adulthood: A Longitudinal Examination of Influences. Journal of Clinical Child & Adolescent Psychology 40:1, pages 123-135.
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Nelli Hankonen, Pilvikki Absetz, Paolo Ghisletta, Britta Renner & Antti Uutela. (2010) Gender differences in social cognitive determinants of exercise adoption. Psychology & Health 25:1, pages 55-69.
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Victoria Savalei & Ke-Hai Yuan. (2009) On the Model-Based Bootstrap With Missing Data: Obtaining a P-Value for a Test of Exact Fit. Multivariate Behavioral Research 44:6, pages 741-763.
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Victoria Savalei & PeterM. Bentler. (2009) A Two-Stage Approach to Missing Data: Theory and Application to Auxiliary Variables. Structural Equation Modeling: A Multidisciplinary Journal 16:3, pages 477-497.
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Li Cai & Taehun Lee. (2009) Covariance Structure Model Fit Testing Under Missing Data: An Application of the Supplemented EM Algorithm. Multivariate Behavioral Research 44:2, pages 281-304.
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Ke-Hai Yuan & Laura Lu. (2008) SEM with Missing Data and Unknown Population Distributions Using Two-Stage ML: Theory and Its Application. Multivariate Behavioral Research 43:4, pages 621-652.
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Masaki Matsunaga. (2008) Item Parceling in Structural Equation Modeling: A Primer. Communication Methods and Measures 2:4, pages 260-293.
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Mortaza Jamshidian & Matthew Mata. (2008) Postmodeling Sensitivity Analysis to Detect the Effect of Missing Data Mechanisms. Multivariate Behavioral Research 43:3, pages 432-452.
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CraigK. Enders. (2008) A Note on the Use of Missing Auxiliary Variables in Full Information Maximum Likelihood-Based Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal 15:3, pages 434-448.
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Adam Davey. (2005) Issues in Evaluating Model Fit
With Missing Data. Structural Equation Modeling: A Multidisciplinary Journal 12:4, pages 578-597.
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Craig K. Enders & James L. Peugh. (2004) Using an EM Covariance Matrix to Estimate Structural Equation Models With Missing Data: Choosing an Adjusted Sample Size to Improve the Accuracy of Inferences. Structural Equation Modeling: A Multidisciplinary Journal 11:1, pages 1-19.
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