Determining how learners use MOOCs effectively is critical to providing feedback to instructors, schools, and policy-makers on this highly scalable technology. However, drawing inferences about student learning outcomes in MOOCs has proven to be quite difficult due to large amounts of missing data (of various kinds) and to the diverse population…

This longitudinal study examined psychological integration of women who were homeless at the study's outset. Participants (N = 101) were recruited at homeless shelters and participated in 2 in-person interviews, approximately 2 years apart. A predictive model identifying factors associated with having a psychological sense of community within…

"The Measures of Success" (MoS) project set out to develop, implement, and present the results of an evaluation model that could assess longer-term outcomes of workplace education programs for increasing literacy and Essential Skills. The model was tested at 18 work sites in Manitoba and Nova Scotia and included training programs that…

College matriculation rates are increasing but graduation rates are failing to parallel the increased enrollment. One reason for this discrepancy may be that many college students are unable to regulate their own learning. This dissertation examined the Self-Regulated Learning (SRL; Pintrich, 2004) model in students taking Statistics in Psychology…

This National Institute of Education report discusses problems of data aggregation and disaggregation which arise whenever the unit on which variables are measured is different from the unit of analytical, conceptual or policy-related interest. For example, researchers may want to know the effects of family background, of peer groups, or of school…

Compares approaches to modeling ordinal outcome variables, including assumptions, interpretations, and limitations. Explores how the multiple regression approach with ordinal level data can compromise the understanding of the effects of the independent variables and of the ordinal level response. Provides applications with data from a multisite…

Establishes an argument that questions the validity of one test'' of goodness-of-fit (the extent to which a series of obtained measures agrees with a series of theoretical measures) for the simulated time path of a simple endogenous (internally developed) variable in a simultaneous, perhaps dynamic econometric model. (Author)

This study examines possibility of ranking journals in physics by means of bibliometric regression models that estimate usefulness as it is reported by 167 physicists in United States and Canada. Development of four models, patterns of deviation from models, and validity and application are discussed. Twenty-six references are cited. (EJS)

This paper offers a new methodology for analyzing individual differences in preference judgments with regard to a set of stimuli. (Author)

Tests a model intended to help account for the prevalence of questionnaire methodologies among doctoral students in educational administration. Several attributes of students and their doctoral programs are advanced as promoting these methods. (Author/IRT)

Examples of the use of Multiple Linear Regression (MLR) techniques are presented. This is done to show how MLR aids data processing and decision-making by providing the decision-maker with freedom in phrasing questions and by accurately reflecting the data on hand. A brief overview of the rationale underlying MLR is given, some basic definitions…

This study focuses on the economic benefits derived by the migrant from migration. The report presents a methodology for computing monetary benefits, an estimate of these benefits, and implications of the findings for public policy. Included are a discussion of domestic migration and public policy, an economic theory of migration, an explanation…

This overview of both quantitative and qualitative methods of educational forecasting is introduced by a discussion of a general typology of forecasting methods. In each of the following sections, discussion follows the same general format: a number of basic approaches are identified (e.g. extrapolation, correlation, systems modelling), and each…

Twenty-nine community characteristics were studied to determine which were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Cross-validation of regression models to predict future…