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Direct linkShogren, Karrie A.; Garnier Villarreal, Mauricio; Dowsett, Chantelle; Little, Todd D. – Career Development and Transition for Exceptional Individuals, 2016
This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 student, 4 family, and 7 school…
Descriptors: Self Determination, Predictor Variables, Family Characteristics, Student Characteristics
Shogren, Karrie A.; Garnier Villarreal, Mauricio; Dowsett, Chantelle; Little, Todd D. – Grantee Submission, 2016
This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 students, 4 family, and 7 school…
Descriptors: Self Determination, Predictor Variables, Family Characteristics, Student Characteristics
Garnier-Villarreal, Mauricio; Rhemtulla, Mijke; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine longitudinal extensions of the two-method measurement design, which uses planned missingness to optimize cost-efficiency and validity of hard-to-measure constructs. These designs use a combination of two measures: a "gold standard" that is highly valid but expensive to administer, and an inexpensive (e.g., survey-based)…
Descriptors: Longitudinal Studies, Data Analysis, Error of Measurement, Research Problems
Little, Todd D.; Preacher, Kristopher J.; Selig, James P.; Card, Noel A. – International Journal of Behavioral Development, 2007
We review fundamental issues in one traditional structural equation modeling (SEM) approach to analyzing longitudinal data--cross-lagged panel designs. We then discuss a number of new developments in SEM that are applicable to analyzing panel designs. These issues include setting appropriate scales for latent variables, specifying an appropriate…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Correlation
