Combining proration and full information maximum likelihood in handling missing data in Likert scale items: A hybrid approach
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Fei Gu | Wei Wu | Sadaaki Fukui | Wei Wu | Sadaaki Fukui | Fei Gu
[1] Craig K. Enders,et al. A Comparison of Item-Level and Scale-Level Multiple Imputation for Questionnaire Batteries , 2012 .
[2] Donald B. Rubin,et al. Nested multiple imputation of NMES via partially incompatible MCMC , 2003 .
[3] Bengt Muthén,et al. On structural equation modeling with data that are not missing completely at random , 1987 .
[4] V. Savalei,et al. Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level , 2017, Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association.
[5] J. Graham,et al. How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory , 2007, Prevention Science.
[6] Kenneth J Sher,et al. Two alternative approaches to conventional person-mean imputation scoring of the Self-Rating of the Effects of Alcohol Scale (SRE). , 2015, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.
[7] V. Savalei,et al. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. , 2012, Psychological methods.
[8] Sophie Chen,et al. How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies , 2010, Commun. Stat. Simul. Comput..
[9] B. Muthén,et al. How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power , 2002 .
[10] R. McKelvey,et al. A statistical model for the analysis of ordinal level dependent variables , 1975 .
[11] J. Graham. Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models , 2003 .
[12] Stef van Buuren,et al. Item Imputation Without Specifying Scale Structure , 2010 .
[13] John W Graham,et al. Planned missing data designs in psychological research. , 2006, Psychological methods.
[14] V. Savalei,et al. Two-stage maximum likelihood approach for item-level missing data in regression , 2020, Behavior research methods.
[15] Craig K. Enders,et al. Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation , 2015, Multivariate behavioral research.
[16] J. Graham,et al. Missing data analysis: making it work in the real world. , 2009, Annual review of psychology.
[17] K Sijtsma,et al. Influence of Imputation and EM Methods on Factor Analysis when Item Nonresponse in Questionnaire Data is Nonignorable , 2000, Multivariate behavioral research.
[18] Klaas Sijtsma,et al. Multiple imputation for item scores when test data are factorially complex. , 2007, The British journal of mathematical and statistical psychology.
[19] Craig K. Enders,et al. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. , 2001, Psychological methods.
[20] J. Schafer,et al. Missing data: our view of the state of the art. , 2002, Psychological methods.
[21] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[22] Fan Jia,et al. A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables , 2015, Multivariate behavioral research.
[23] Joost R. van Ginkel,et al. Investigation of Multiple Imputation in Low-Quality Questionnaire Data , 2010 .