Year |
Citation |
Score |
2023 |
Alacam E, Enders CK, Du H, Keller BT. A factored regression model for composite scores with item-level missing data. Psychological Methods. PMID 37227897 DOI: 10.1037/met0000584 |
0.31 |
|
2019 |
Mansolf M, Jorgensen TD, Enders CK. A multiple imputation score test for model modification in structural equation models. Psychological Methods. PMID 31621350 DOI: 10.1037/Met0000243 |
0.358 |
|
2017 |
Enders CK, Keller BT, Levy R. A Fully Conditional Specification Approach to Multilevel Imputation of Categorical and Continuous Variables. Psychological Methods. PMID 28557466 DOI: 10.1037/Met0000148 |
0.354 |
|
2017 |
Mistler SA, Enders CK. A Comparison of Joint Model and Fully Conditional Specification Imputation for Multilevel Missing Data Journal of Educational and Behavioral Statistics. 42: 432-466. DOI: 10.3102/1076998617690869 |
0.383 |
|
2015 |
Enders CK, Mistler SA, Keller BT. Multilevel Multiple Imputation: A Review and Evaluation of Joint Modeling and Chained Equations Imputation. Psychological Methods. PMID 26690775 DOI: 10.1037/Met0000063 |
0.371 |
|
2015 |
Mazza GL, Enders CK, Ruehlman LS. Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation. Multivariate Behavioral Research. 50: 504-19. PMID 26610249 DOI: 10.1080/00273171.2015.1068157 |
0.371 |
|
2015 |
Wu W, Jia F, Enders C. A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables. Multivariate Behavioral Research. 50: 484-503. PMID 26610248 DOI: 10.1080/00273171.2015.1022644 |
0.399 |
|
2015 |
Eekhout I, Enders CK, Twisk JW, de Boer MR, de Vet HC, Heymans MW. Including auxiliary item information in longitudinal data analyses improved handling missing questionnaire outcome data. Journal of Clinical Epidemiology. 68: 637-45. PMID 25724894 DOI: 10.1016/J.Jclinepi.2015.01.012 |
0.345 |
|
2015 |
Eekhout I, Enders CK, Twisk JWR, de Boer MR, de Vet HCW, Heymans MW. Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables Structural Equation Modeling. 22: 588-602. DOI: 10.1080/10705511.2014.937670 |
0.369 |
|
2014 |
Enders CK, Baraldi AN, Cham H. Estimating interaction effects with incomplete predictor variables. Psychological Methods. 19: 39-55. PMID 24707955 DOI: 10.1037/A0035314 |
0.385 |
|
2013 |
Cham H, Baraldi AN, Enders CK. Abstract: Applying Maximum Likelihood Estimation and Multiple Imputation to Moderated Regression Models With Incomplete Predictor Variables. Multivariate Behavioral Research. 48: 153-4. PMID 26789217 DOI: 10.1080/00273171.2012.748359 |
0.402 |
|
2013 |
Enders CK, Fairchild AJ, Mackinnon DP. A Bayesian Approach for Estimating Mediation Effects with Missing Data. Multivariate Behavioral Research. 48: 340-369. PMID 24039298 DOI: 10.1080/00273171.2013.784862 |
0.38 |
|
2013 |
Enders CK. Dealing With Missing Data in Developmental Research Child Development Perspectives. 7: 27-31. DOI: 10.1111/Cdep.12008 |
0.313 |
|
2012 |
Gottschall AC, West SG, Enders CK. A Comparison of Item-Level and Scale-Level Multiple Imputation for Questionnaire Batteries Multivariate Behavioral Research. 47: 1-25. DOI: 10.1080/00273171.2012.640589 |
0.357 |
|
2011 |
Enders CK. Analyzing longitudinal data with missing values. Rehabilitation Psychology. 56: 267-88. PMID 21967118 DOI: 10.1037/A0025579 |
0.387 |
|
2011 |
Enders CK. Missing not at random models for latent growth curve analyses. Psychological Methods. 16: 1-16. PMID 21381816 DOI: 10.1037/A0022640 |
0.407 |
|
2011 |
Enders CK, Gottschall AC. Multiple imputation strategies for multiple group structural equation models Structural Equation Modeling. 18: 35-54. DOI: 10.1080/10705511.2011.532695 |
0.378 |
|
2010 |
Baraldi AN, Enders CK. An introduction to modern missing data analyses. Journal of School Psychology. 48: 5-37. PMID 20006986 DOI: 10.1016/J.Jsp.2009.10.001 |
0.369 |
|
2010 |
Peugh JL, Enders CK. Specification searches in multilevel structural equation modeling: A monte carlo investigation Structural Equation Modeling. 17: 42-65. DOI: 10.1080/10705510903438948 |
0.523 |
|
2009 |
Henry GK, Heilbronner RL, Mittenberg W, Enders C, Domboski K. Comparison of the MMPI-2 restructured Demoralization Scale, Depression Scale, and Malingered Mood Disorder Scale in identifying non-credible symptom reporting in personal injury litigants and disability claimants. The Clinical Neuropsychologist. 23: 153-66. PMID 18609325 DOI: 10.1080/13854040801969524 |
0.301 |
|
2008 |
Henry GK, Heilbronner RL, Mittenberg W, Enders C, Stanczak SR. Comparison of the Lees-Haley Fake Bad Scale, Henry-Heilbronner Index, and restructured clinical scale 1 in identifying noncredible symptom reporting. The Clinical Neuropsychologist. 22: 919-29. PMID 18756392 DOI: 10.1080/13854040701625853 |
0.304 |
|
2008 |
Henry GK, Heilbronner RL, Mittenberg W, Enders C, Roberts DM. Empirical derivation of a new MMPI-2 scale for identifying probable malingering in personal injury litigants and disability claimants: the 15-item Malingered Mood Disorder Scale (MMDS). The Clinical Neuropsychologist. 22: 158-68. PMID 18247222 DOI: 10.1080/13825580601025916 |
0.301 |
|
2008 |
Enders CK. A note on the use of missing auxiliary variables in full information maximum likelihood-based structural equation models Structural Equation Modeling. 15: 434-448. DOI: 10.1080/10705510802154307 |
0.371 |
|
2008 |
Enders CK, Tofighi D. The impact of misspecifying class-specific residual variances in growth mixture models Structural Equation Modeling. 15: 75-95. DOI: 10.1080/10705510701758281 |
0.322 |
|
2007 |
Enders CK, Tofighi D. Centering predictor variables in cross-sectional multilevel models: a new look at an old issue. Psychological Methods. 12: 121-38. PMID 17563168 DOI: 10.1037/1082-989X.12.2.121 |
0.341 |
|
2006 |
Enders CK. A primer on the use of modern missing-data methods in psychosomatic medicine research. Psychosomatic Medicine. 68: 427-36. PMID 16738075 DOI: 10.1097/01.Psy.0000221275.75056.D8 |
0.369 |
|
2006 |
Nietfeld JL, Enders CK, Schraw G. A Monte Carlo comparison of measures of relative and absolute monitoring accuracy Educational and Psychological Measurement. 66: 258-271. DOI: 10.1177/0013164404273945 |
0.342 |
|
2005 |
Enders CK. An SAS macro for implementing the modified bollen-stine bootstrap for missing data: Implementing the bootstrap using existing structural equation modeling software Structural Equation Modeling. 12: 620-641. DOI: 10.1207/S15328007Sem1204_6 |
0.348 |
|
2005 |
Doninger GL, Enders CK, Burnett KF. Validity evidence for eating attitudes test scores in a sample of female college athletes Measurement in Physical Education and Exercise Science. 9: 35-49. DOI: 10.1207/S15327841Mpee0901_3 |
0.312 |
|
2005 |
Peugh JL, Enders CK. Using the SPSS MIXED procedure to fit cross-sectional and longitudinal multilevel models Educational and Psychological Measurement. 65: 811-835. DOI: 10.1177/0013164405278558 |
0.532 |
|
2004 |
Peugh JL, Enders CK. Missing data in educational research: A review of reporting practices and suggestions for improvement Review of Educational Research. 74: 525-556. DOI: 10.3102/00346543074004525 |
0.573 |
|
2004 |
Enders CK, Peugh JL. 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. 11: 1-19. DOI: 10.1207/S15328007Sem1101_1 |
0.575 |
|
2004 |
Enders CK. The impact of missing data on sample reliability estimates: Implications for reliability reporting practices Educational and Psychological Measurement. 64: 419-436. DOI: 10.1177/0013164403261050 |
0.38 |
|
2003 |
Enders CK. Using the expectation maximization algorithm to estimate coefficient alpha for scales with item-level missing data. Psychological Methods. 8: 322-37. PMID 14596494 DOI: 10.1037/1082-989X.8.3.322 |
0.399 |
|
2003 |
Enders CK. Performing multivariate group comparisons following a statistically significant MANOVA Measurement and Evaluation in Counseling and Development. 36: 40-56. DOI: 10.1080/07481756.2003.12069079 |
0.341 |
|
2002 |
Enders CK. Applying the Bollen-Stine Bootstrap for Goodness-of-Fit Measures to Structural Equation Models with Missing Data. Multivariate Behavioral Research. 37: 359-77. PMID 26751293 DOI: 10.1207/S15327906Mbr3703_3 |
0.374 |
|
2001 |
Enders CK. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data Psychological Methods. 6: 352-370. PMID 11778677 DOI: 10.1037/1082-989X.6.4.352 |
0.404 |
|
2001 |
Enders CK, Bandalos DL. The relative performance of full information maximum likelihood estimation for missing data in structural equation models Structural Equation Modeling. 8: 430-457. DOI: 10.1207/S15328007Sem0803_5 |
0.392 |
|
2001 |
Enders CK. The performance of the full information maximum likelihood estimator in multiple regression models with missing data Educational and Psychological Measurement. 61: 713-740. DOI: 10.1177/00131640121971482 |
0.395 |
|
1999 |
Enders C, Bandalos DL. The Effects of Heterogeneous Item Distributions on Reliability Applied Measurement in Education. 12: 133-150. DOI: 10.1207/S15324818Ame1202_2 |
0.303 |
|
1996 |
Bandalos DL, Enders CK. The Effects of Nonnormality and Number of Response Categories on Reliability Applied Measurement in Education. 9: 151-160. DOI: 10.1207/S15324818Ame0902_4 |
0.304 |
|
Show low-probability matches. |