Myeongsun Yoon
Myeongsun Yoon
Educational Psychology, Texas A & M University
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TitleCited byYear
Analyzing longitudinal data with multilevel models: An example with individuals living with lower extremity intra-articular fractures.
OM Kwok, AT Underhill, JW Berry, W Luo, TR Elliott, M Yoon
Rehabilitation psychology 53 (3), 370, 2008
Detecting violations of factorial invariance using data-based specification searches: A Monte Carlo study
M Yoon, RE Millsap
Structural Equation Modeling: A Multidisciplinary Journal 14 (3), 435-463, 2007
Testing measurement invariance: A comparison of multiple-group categorical CFA and IRT
ES Kim, M Yoon
Structural Equation Modeling 18 (2), 212-228, 2011
Testing measurement invariance using MIMIC: Likelihood ratio test with a critical value adjustment
ES Kim, M Yoon, T Lee
Educational and Psychological Measurement 72 (3), 469-492, 2012
Juvenile offenders with and without disabilities: Risks and patterns of recidivism
D Zhang, DE Barrett, A Katsiyannis, M Yoon
Learning and Individual Differences 21 (1), 12-18, 2011
Hispanic English learners' responses to longitudinal English instructional intervention and the effect of gender: A multilevel analysis
F Tong, BJ Irby, R Lara-Alecio, M Yoon, PG Mathes
The Elementary School Journal 110 (4), 542-566, 2010
Outcomes of a prospective trial of student-athlete drug testing: the Student Athlete Testing Using Random Notification (SATURN) study
L Goldberg, DL Elliot, DP MacKinnon, EL Moe, KS Kuehl, M Yoon, ...
Journal of Adolescent Health 41 (5), 421-429, 2007
Testing factorial invariance in multilevel data: A Monte Carlo study
ES Kim, O Kwok, M Yoon
Structural Equation Modeling: A Multidisciplinary Journal 19 (2), 250-267, 2012
Covariances between regression coefficient estimates in a single mediator model
D Tofighi, DP MacKinnon, M Yoon
British Journal of Mathematical and Statistical Psychology 62 (3), 457-484, 2009
Within-level group factorial invariance with multilevel data: Multilevel factor mixture and multilevel MIMIC models
ES Kim, M Yoon, Y Wen, W Luo, O Kwok
Structural Equation Modeling: A Multidisciplinary Journal 22 (4), 603-616, 2015
Exploring the various interpretations of “test bias”.
RT Warne, M Yoon, CJ Price
Cultural Diversity and Ethnic Minority Psychology 20 (4), 570, 2014
Comparisons of three empirical methods for partial factorial invariance: Forward, backward, and factor-ratio tests
E Jung, M Yoon
Structural Equation Modeling: A Multidisciplinary Journal 23 (4), 567-584, 2016
Tracing student responsiveness to intervention with early literacy skills indicators: Do they reflect growth toward text reading outcomes?
NH Clemens, A Hilt-Panahon, ES Shapiro, M Yoon
Reading Psychology 33 (1-2), 47-77, 2012
Screening assessment within a multi-tiered system of support: Current practices, advances, and next steps
NH Clemens, MA Keller-Margulis, T Scholten, M Yoon
Handbook of response to intervention, 187-213, 2016
A comparison of sequential and nonsequential specification searches in testing factorial invariance
M Yoon, ES Kim
Behavior research methods 46 (4), 1199-1206, 2014
Statistical power in testing factorial invariance with ordinal measures
M Yoon
Arizona State University, 2007
A comparison of methods to test mediation and other intervening variable effects in logistic regression
DP MacKinnon, M Yoon, CM Lockwood, A Taylor
Manuscript submitted for publication, 2005
Testing factorial invariance with unbalanced samples
M Yoon, MHC Lai
Structural Equation Modeling: A Multidisciplinary Journal 25 (2), 201-213, 2018
Two-step approach to partial factorial invariance: Selecting a reference variable and identifying the source of noninvariance
E Jung, M Yoon
Structural Equation Modeling: A Multidisciplinary Journal 24 (1), 65-79, 2017
A modified comparative fit index for factorial invariance studies
MHC Lai, M Yoon
Structural Equation Modeling: A Multidisciplinary Journal 22 (2), 236-248, 2015
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