Year |
Citation |
Score |
2020 |
Rindskopf D. Overview of Bayesian Statistics. Evaluation Review. 193841X19895623. PMID 31894697 DOI: 10.1177/0193841X19895623 |
0.405 |
|
2020 |
Wendt O, Rindskopf D. Exploring new directions in statistical analysis of single-case experimental designs Evidence-Based Communication Assessment and Intervention. 14: 1-5. DOI: 10.1080/17489539.2020.1741842 |
0.405 |
|
2020 |
Ober TM, Brooks PJ, Homer BD, Rindskopf D. Executive Functions and Decoding in Children and Adolescents: a Meta-analytic Investigation Educational Psychology Review. 32: 735-763. DOI: 10.1007/S10648-020-09526-0 |
0.3 |
|
2017 |
Moeyaert M, Rindskopf D, Onghena P, Van den Noortgate W. Multilevel Modeling of Single-Case Data: A Comparison of Maximum Likelihood and Bayesian Estimation. Psychological Methods. PMID 28358542 DOI: 10.1037/Met0000136 |
0.348 |
|
2016 |
Valentine JC, Wilson SJ, Rindskopf D, Lau TS, Tanner-Smith EE, Yeide M, LaSota R, Foster L. Synthesizing Evidence in Public Policy Contexts: The Challenge of Synthesis When There Are Only a Few Studies. Evaluation Review. PMID 27780906 DOI: 10.1177/0193841X16674421 |
0.343 |
|
2014 |
Rindskopf D. Nonlinear Bayesian analysis for single case designs. Journal of School Psychology. 52: 179-89. PMID 24606974 DOI: 10.1016/J.Jsp.2013.12.003 |
0.505 |
|
2014 |
Rindskopf D. Bayesian analysis of data from single case designs. Neuropsychological Rehabilitation. 24: 572-89. PMID 24365037 DOI: 10.1080/09602011.2013.866903 |
0.424 |
|
2013 |
Shadish WR, Kyse EN, Rindskopf DM. Analyzing data from single-case designs using multilevel models: new applications and some agenda items for future research. Psychological Methods. 18: 385-405. PMID 23834421 DOI: 10.1037/A0032964 |
0.542 |
|
2012 |
Rindskopf D. Next steps in Bayesian structural equation models: comments on, variations of, and extensions to Muthén and Asparouhov (2012). Psychological Methods. 17: 336-9; discussion 34. PMID 22962887 DOI: 10.1037/A0027130 |
0.352 |
|
2012 |
Shiyko MP, Li Y, Rindskopf D. Poisson Growth Mixture Modeling of Intensive Longitudinal Data: An Application to Smoking Cessation Behavior. Structural Equation Modeling : a Multidisciplinary Journal. 19: 65-85. PMID 22408365 DOI: 10.1080/10705511.2012.634722 |
0.682 |
|
2010 |
Rindskopf D, Shiyko M. Measures of dispersion, skewness and kurtosis International Encyclopedia of Education. 267-273. DOI: 10.1016/B978-0-08-044894-7.01344-0 |
0.638 |
|
2008 |
Shadish WR, Rindskopf DM, Hedges LV. The state of the science in the meta-analysis of single-case experimental designs Evidence-Based Communication Assessment and Intervention. 2: 188-196. DOI: 10.1080/17489530802581603 |
0.363 |
|
2007 |
Cecil JS, Eyre RN, Miletich D, Rindskopf D. A Quarter-Century of Summary Judgment Practice in Six Federal District Courts Journal of Empirical Legal Studies. 4: 861-907. DOI: 10.2139/Ssrn.914147 |
0.314 |
|
2007 |
Schonfeld IS, Rindskopf D. Hierarchical linear modeling in organizational research: Longitudinal data outside the context of growth modeling Organizational Research Methods. 10: 417-429. DOI: 10.1177/1094428107300229 |
0.413 |
|
2006 |
Rindskopf D. Heavy alcohol use in the "fighting back" survey sample: Separating individual and community level influences using multilevel latent class analysis Journal of Drug Issues. 36: 441-462. DOI: 10.1177/002204260603600210 |
0.317 |
|
2004 |
Rindskopf D, Strauss S. Determining predictors of true HIV status using an errors-in-variables model with missing data Structural Equation Modeling. 11: 51-59. DOI: 10.1207/S15328007Sem1101_4 |
0.38 |
|
2003 |
Rindskopf D. Mixture or homogeneous? Comment on Bauer and Curran (2003). Psychological Methods. 8: 364-8; discussion 38. PMID 14596496 DOI: 10.1037/1082-989X.8.3.364 |
0.342 |
|
2001 |
Livert D, Rindskopf D, Saxe L, Stirratt M. Using Multilevel Modeling in the Evaluation of Community-Based Treatment Programs. Multivariate Behavioral Research. 36: 155-83. PMID 26822107 DOI: 10.1207/S15327906Mbr3602_02 |
0.304 |
|
2001 |
Strauss SM, Rindskopf DM, Falkin GP. Modeling relationships between two categorical variables when data are missing: Examining consequences of the missing data mechanism in an HIV data set Multivariate Behavioral Research. 36: 471-500. |
0.314 |
|
2000 |
Beveridge AA, Kadushin C, Saxe L, Rindskopf D, Livert D. Survey estimates of drug-use trends in urban communities: General principles and cautionary examples Substance Use and Misuse. 35: 891-923+1107. PMID 10847216 DOI: 10.3109/10826080009148426 |
0.33 |
|
1999 |
Rindskopf D. Some hazards of using nonstandard log-linear models, and how to avoid them Psychological Methods. 4: 339-347. DOI: 10.1037/1082-989X.4.4.339 |
0.444 |
|
1998 |
Rindskopf D, Saxe L. Zero effects in substance abuse programs: Avoiding False Positives and False Negatives in the Evaluation of Community-Based Programs Evaluation Review. 22: 78-94. PMID 10183302 DOI: 10.1177/0193841X9802200104 |
0.322 |
|
1998 |
Haddock CK, Rindskopf D, Shadish WR. Using Odds Ratios as Effect Sizes for Meta-Analysis of Dichotomous Data: A Primer on Methods and Issues Psychological Methods. 3: 339-353. DOI: 10.1037/1082-989X.3.3.339 |
0.391 |
|
1992 |
Rindskopf D. A general approach to categorical data analysis with missing data, using generalized linear models with composite links Psychometrika. 57: 29-42. DOI: 10.1007/Bf02294657 |
0.456 |
|
1990 |
Rindskopf D. Book Reviews: Methodological Advances Catch Up With Common Educational Research Designs Educational Researcher. 19: 26-27. DOI: 10.3102/0013189X019004026 |
0.326 |
|
1990 |
Rindskopf D, Goldstein H, Bock RD. Methodological Advances Catch up with Common Educational Research Designs Educational Researcher. 19: 26. DOI: 10.2307/1176387 |
0.323 |
|
1990 |
Rindskopf D. Nonstandard log-linear models Psychological Bulletin. 108: 150-162. |
0.337 |
|
1988 |
Rindskopf D, Rose T. Some Theory and Applications of Confirmatory Second-Order Factor Analysis. Multivariate Behavioral Research. 23: 51-67. PMID 26782257 DOI: 10.1207/S15327906Mbr2301_3 |
0.407 |
|
1987 |
Rindskopf D. Using latent class analysis to test developmental models Developmental Review. 7: 66-85. DOI: 10.1016/0273-2297(87)90005-0 |
0.347 |
|
1986 |
Rindskopf D. New developments in selection modeling for quasi-experimentation New Directions For Program Evaluation. 1986: 79-89. DOI: 10.1002/Ev.1435 |
0.334 |
|
1985 |
Rindskopf D. Book Review : Causal Modelling in Nonexperimental Research: An Introduction to the LISREL Approach Willem Saris and Henk Stronkhorst Amsterdam: Sociometric Research Foundation, 1984, 335 pp., 35 Dutch guilders (approx. $10) Applied Psychological Measurement. 9: 433-434. DOI: 10.1177/014662168500900414 |
0.341 |
|
1984 |
Rindskopf D, Everson H. A Comparison of Models for Detecting Discrimination: An Example from Medical School Admissions Applied Psychological Measurement. 8: 89-106. DOI: 10.1177/014662168400800110 |
0.341 |
|
1984 |
Rindskopf D. Structural Equation Models: Empirical Identification, Heywood Cases, and Related Problems Sociological Methods &Amp; Research. 13: 109-119. DOI: 10.1177/0049124184013001004 |
0.323 |
|
1984 |
Rindskopf D. Latent variable models: Applications in education Contemporary Educational Psychology. 9: 104-121. DOI: 10.1016/0361-476X(84)90013-4 |
0.388 |
|
1984 |
Rindskopf D. Using phantom and imaginary latent variables to parameterize constraints in linear structural models Psychometrika. 49: 37-47. DOI: 10.1007/Bf02294204 |
0.388 |
|
1983 |
Rindskopf D. A general framework for using latent class analysis to test hierarchical and nonhierarchical learning models Psychometrika. 48: 85-97. DOI: 10.1007/Bf02314678 |
0.449 |
|
1983 |
Rindskopf D. Parameterizing inequality constraints on unique variances in linear structural models Psychometrika. 48: 73-83. DOI: 10.1007/Bf02314677 |
0.386 |
|
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