Evaluating Measurement Invariance with Censored Ordinal Data: A Monte Carlo Comparison of Alternative Model Estimators and Scales of Measurement

Evaluations of measurement invariance provide essential construct validity evidence. However, the quality of such evidence is partly dependent upon the validity of the resulting statistical conclusions. The presence of Type I or Type II errors can render measurement invariance conclusions meaningless. The purpose of this study was to determine the effects of categorization and censoring on the behavior of the chi-square/likelihood ratio test statistic and two alternative fit indices (CFI and RMSEA) under the context of evaluating measurement invariance. Monte Carlo simulation was used to examine Type I error and power rates for the (a) overall test statistic/fit indices, and (b) change in test statistic/fit indices. Data were generated according to a multiple-group single-factor CFA model across 40 conditions that varied by sample size, strength of item factor loadings, and categorization thresholds. Seven different combinations of model estimators (ML, Yuan-Bentler scaled ML, and WLSMV) and specified measurement scales (continuous, censored, and categorical) were used to analyze each of the simulation conditions. As hypothesized, non-normality increased Type I error rates for the continuous scale of measurement and did not affect error rates for the categorical scale of measurement. Maximum likelihood estimation combined with a categorical scale of measurement resulted in more correct statistical conclusions than the other analysis combinations. For the continuous and censored scales of measurement, the Yuan-Bentler scaled ML resulted in more correct conclusions than normal-theory ML. The censored measurement scale did not offer any advantages over the continuous measurement scale. Comparing across fit statistics and indices, the chi-square-based test statistics were preferred over the alternative fit indices, and ΔRMSEA was preferred over ΔCFI. Results from this study should be used to inform the modeling decisions of applied researchers. However, no single analysis combination can be recommended for all situations. Therefore, it is essential that researchers consider the context and purpose of their analyses.

From Token, to Pioneer, to Crusader: Survival Strategies for Faculty of Color in PWI's

As the only person of color in your workplace you may experience feelings of isolation and hopelessness. However, it is possible to survive this situation. To do so, you must go .through an empowering developmental process. You no longer have to be a Token. Learn how you can become a Pioneer and a Crusader for social justice.

Positively Impacting the Retention Rates and Performance for Students-of-Color

This session reports on a first-year program designed to assist students-of-color in adjusting to higher education. Session participants will have the opportunity to view the overall structure of the program, including training components, academic tracking methodology, assessment and technology, enhancement programs, and additional services that S.T.A.R.S. provides.

The Importance of Affirmative Action in the 21st Century: Building Transformational Alliances with Constituencies Across the Power Structure for Scholars, Students and Staff of Color at Predominantly European American Institutions.

The purpose of this session is to reject the notion that proactive Affirmative Action strategic plans are no longer needed at predominantly European American Institutions. Data reveal an inverse relationship between creating successful strategic plans for inclusion and negative reactions from the power structure.

The Shaping of a New Identity: Continuation of the Transformation Process of People of Color on White University College Campuses Into "White" People of Color

“Our study will show how the pyramidal structure as a permanent feature of every aspect of American society continues to function in the same manner at institutions of higher learning.”

"100 CHALLENGES FACING STUDENTS OF COLOR IN THE 21st CENTURY"

"It is particularly critical to assess the impact, given the empirical data available, on institutions in California, Texas, Florida and Washington which anti-affirmative action laws and court orders have been passed/handed down."

“FAILING TO FIT: STUDENT DEVELOPMENT THEORIES AND STUDENTS OF COLOR”

Theories proposed by Chickering, Astin, Helms, Gilligan, and Perry serve as a framework for under¬standing and explaining the development of college students.