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Grays, Makayla – ProQuest LLC, 2013
Students must be sufficiently motivated in order to achieve the intended learning outcomes of their college courses. Research in education and psychology has found motivation to be context-dependent. Therefore, students' motivation is likely to differ from one semester to the next according to which courses students are taking. However, there are…
Descriptors: Longitudinal Studies, Student Motivation, Predictor Variables, Psychometrics
Campbell, Jacquelyn C.; Webster, Daniel W.; Glass, Nancy – Journal of Interpersonal Violence, 2009
The Danger Assessment (DA) is an instrument designed to assess the likelihood of lethality or near lethality occurring in a case of intimate partner violence. This article describes the development, psychometric validation, and suggestions for use of the DA. An 11-city study of intimate partner femicide used multivariate analysis to test the…
Descriptors: Family Violence, Females, Predictive Validity, At Risk Persons
Takane, Yoshio; Hwang, Heungsun – Psychometrika, 2005
Lazraq and Cleroux (Psychometrika, 2002, 411-419) proposed a test for identifying the number of significant components in redundancy analysis. This test, however, is ill-conceived. A major problem is that it regards each redundancy component as if it were a single observed predictor variable, which cannot be justified except for the rare…
Descriptors: Redundancy, Monte Carlo Methods, Predictor Variables, Psychometrics
Peer reviewedBoyle, Gregory J. – Educational and Psychological Measurement, 1987
Canonical-redundancy analyses were computed across the Profile of Mood States and the Eight State Questionnaire on a sample of 289 college undergraduates in order to estimate the degree of measurement overlap of the two multidimensional mood-state instruments. (Author/BS)
Descriptors: Affective Measures, Comparative Testing, Concurrent Validity, Foreign Countries
Mehta, Paras D.; Neale, Michael C. – Psychological Methods, 2005
The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…
Descriptors: Scripts, Factor Analysis, Structural Equation Models, Modeling (Psychology)
Bergin, Susan; Reilly, Ronan – Computer Science Education, 2006
A model for predicting student performance on introductory programming modules is presented. The model uses attributes identified in a study carried out at four third-level institutions in the Republic of Ireland. Four instruments were used to collect the data and over 25 attributes were examined. A data reduction technique was applied and a…
Descriptors: Programming, Foreign Countries, Multivariate Analysis, Introductory Courses
Burchardt, Tania – Social Indicators Research, 2005
One of the motivations frequently cited by Sen and Nussbaum for moving away from a utility metric towards a capabilities framework is a concern about adaptive preferences or conditioned expectations. If utility is related to the satisfaction of aspirations or expectations, and if these are affected by the individual's previous experience of…
Descriptors: Employment Level, Reference Groups, Multivariate Analysis, Justice
Moore, Kristin Anderson; Vandivere, Sharon; Redd, Zakia – Social Indicators Research, 2006
In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children's development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using…
Descriptors: Poverty, Parent Education, Family Income, Multivariate Analysis

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