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Garvey, Jason C. – Journal of College Student Development, 2017
The purpose of this article is to clarify the discrepancy in the use of "queer" as a sexual identity classification in education survey research. This study extends the work completed by Dugan and Yurman (2011), who empirically demonstrated problems with treating LGB students as a homogenous population through collapsing all respondents…
Descriptors: Classification, Educational Research, Sexual Identity, Subcultures
Preacher, Kristopher J.; Zyphur, Michael J.; Zhang, Zhen – Psychological Methods, 2010
Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover,…
Descriptors: Structural Equation Models, Hypothesis Testing, Statistical Analysis, Predictor Variables
Henry, Kimberly L.; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Latent class analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this…
Descriptors: Statistical Analysis, Probability, Classification, Grade 9
Ludtke, Oliver; Robitzsch, Alexander; Trautwein, Ulrich; Kunter, Mareike – Contemporary Educational Psychology, 2009
In educational research, characteristics of the learning environment (e.g., social climate, instructional quality, goal orientation) are often assessed via student reports, and their associations with outcome variables such as school achievement or student motivation then tested. However, studying the effects of the learning environment presents a…
Descriptors: Educational Research, Academic Achievement, Predictor Variables, Goal Orientation
Brese, Falk, Ed.; Carstens, Ralph, Ed. – International Association for the Evaluation of Educational Achievement, 2009
To support and promote secondary analyses, the International Association for the Evaluation of Educational Achievement (IEA) is making the SITES 2006 international database and accompanying User Guide available to researchers, analysts, and public users. The database comprises national contexts and school- and teacher-level data from 23 education…
Descriptors: Academic Achievement, Questionnaires, Information Technology, Educational Technology
Puleo, Vincent T. – 1985
This report provides preliminary technical information on a method for analyzing the factors involved in the closing of elementary schools. Included is a presentation of data and a brief discussion bearing on descriptive statistics, reliability, and validity. An intercorrelation matrix is also examined. The method employs 9 factors that have a…
Descriptors: Correlation, Elementary Education, Predictor Variables, Reliability
Saupe, Joe L. – 1991
This paper describes a procedure for smoothing the proportions of a double-entry expectancy table which might be used in higher education admissions advising or other functions. The product of the smoothing procedure is a nomograph, a medium for displaying expectancies which provides pairs of individual values for two predictor variables rather…
Descriptors: Expectancy Tables, Higher Education, Institutional Research, Predictive Measurement

Singer, Judith D.; Willett, John B. – Journal of Early Intervention, 1993
Using data describing entry into preschool among children with special needs, this paper introduces the fundamental statistical quantities of event occurrence--hazard and survivor functions. The paper discusses construction of formal statistical models of event occurrence over time, predictors that can be included in hazard models, and importance…
Descriptors: Disabilities, Early Childhood Education, Early Intervention, Models
Olevnik, Peter P. – 1986
This paper reports the results of an investigation into the relationship between librarians' status (i.e., librarians having faculty status or librarians lacking such status) and the organizational structure of the college library. The analysis was conducted within the conceptual framework of two organizational models: the bureaucratic and the…
Descriptors: Academic Libraries, Correlation, Higher Education, Librarians
Marion, Sarah DeBoard; Touchette, Paul E.; Sandman, Curt A. – American Journal on Mental Retardation, 2003
This study with 45 institutionalized individuals with mental retardation and self injurious behavior (SIB) calculated conditional probability using sequential analysis techniques. It found that successive episodes of self-injury were sequentially dependent and this association was not related to frequency or rate of occurrence. The best predictor…
Descriptors: Adults, Behavior Disorders, Children, Incidence
Holmlund, Helena – Centre for the Economics of Education (NJ1), 2008
When studying different types of returns to education, educational reforms are commonly used in the economics literature as a source of exogenous variation in education. The Swedish compulsory school reform is one example; the reform extended compulsory education throughout the country, in different municipalities at different points in time. Such…
Descriptors: School Restructuring, Compulsory Education, Outcomes of Education, Educational Attainment
Chastain, Robert L.; Joe, George W. – 1986
Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…
Descriptors: Adults, Comparative Analysis, Correlation, Factor Analysis

Rushinek, Avi; Rushinek, Sara F. – Information Processing and Management, 1986
This study used multiple regression analysis to relate computer user satisfaction to communication monitor (CM) variables. Results indicate the variables of user expectations, manufacturers, and vendors are most significant in affecting overall satisfaction, whereas number of systems represented and not using communication monitors have least…
Descriptors: Communications, Computer Software, Expectation, Hypothesis Testing

Zuelke, Dennis C. – Planning and Changing, 1984
A disaggregated empirical study using the production function model with multiple regression statistical techniques found that comprehensive collective negotiating processes in Wisconsin's public school districts had no significant effect on the improvement of teachers' fringe benefits in 1979-80. (PGD)
Descriptors: Collective Bargaining, Elementary Secondary Education, Fringe Benefits, Predictor Variables

Gruber, Frederic A. – Journal of Speech, Language, and Hearing Research, 1999
This study used survival analysis to overcome problems of principled generalization and individual variability in analysis of the conversational speech of 24 children with speech delay recorded over two years. The derived normalization probabilities were lagged according to the strong delay hypothesis and results converged with previous normative…
Descriptors: Child Development, Delayed Speech, Generalizability Theory, Longitudinal Studies