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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Graham, Ryan D.; Rudd, M. David; Bryan, Craig J. – Suicide and Life-Threatening Behavior, 2011
Primary care providers (PCPs) usually do not explore patient suicidality during routine visits. Factors that predict PCP attitudes toward the assessment and treatment of suicidality were examined via an online survey of 195 practicing PCPs affiliated with medical schools in the United States. PCPs who perceived themselves as competent to work with…
Descriptors: Suicide, Patients, Multiple Regression Analysis, Competence
Prevatt, Frances; Li, Huijun; Welles, Theresa; Festa-Dreher, Desaree; Yelland, Sherry; Lee, Jiyoon – Journal of College Admission, 2011
The Academic Success Inventory for College Students (ASICS) is a newly-developed, self-report instrument designed to evaluate academic success in college students. The 50-item instrument has 10 factors that measure general academic skills, career decidedness, internal and external motivation, anxiety, concentration, socializing, personal…
Descriptors: College Students, Academic Achievement, Adjustment (to Environment), Surveys
Herreid, Charlene H.; Miller, Thomas E. – College and University, 2009
This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…
Descriptors: Prediction, Regression (Statistics), Researchers, Intervention
van Rosmalen, Joost; Koning, Alex J.; Groenen, Patrick J. F. – Multivariate Behavioral Research, 2009
Multiplicative interaction models, such as Goodman's (1981) RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are suitable only for data sets with two or three predictor variables. Here, we discuss an optimal scaling model for analyzing the content of…
Descriptors: Class Size, Scaling, Predictor Variables, Models
Holyoke, Thomas T. – Journal of School Choice, 2008
In this paper I develop indices capturing business/market and nonprofit/mission characteristics of charter schools that can be used to explain many of their observed operational and political choices. This improves on earlier research using only a binary variable classifying charter schools as market or mission rather than letting them take on…
Descriptors: Charter Schools, Lobbying, School Choice, Student Recruitment

Nagelberg, Daniel B.; Shemberg, Kenneth B. – Journal of the American College Health Association, 1980
The mental health status of Bowling Green State University undergraduates is examined to: (1) estimate the prevalence of psychological impairment; (2) put these data into context with previous prevalence research; (3) identify variables characteristic of high risk groups; and (4) explore consistency in such predictors across campuses. (JMF)
Descriptors: Higher Education, Incidence, Medical Services, Mental Health

Connolly, Michael S.; Blanchette, Rene – New Directions for Institutional Research, 1986
Graphics, survey research, and multivariate statistical techniques were applied at a private liberal arts college to help development professionals better understand and predict alumni giving behavior, on both an aggregate and an individual basis. (Author)
Descriptors: Alumni, Fund Raising, Higher Education, Models
Hard, Stephen F.; Conway, James M.; Moran, Antonia C. – Journal of Higher Education, 2006
This study investigated faculty and college student beliefs concerning student academic misconduct. Faculty beliefs predicted efforts to prevent misconduct and efforts to challenge it. Student beliefs predicted frequency of misconduct. Faculty and students overestimated the extent of misconduct, students to a greater degree. Faculty who…
Descriptors: Undergraduate Students, Student Attitudes, College Faculty, Teacher Attitudes

Kvande, Elin – European Journal of Engineering Education, 1986
Reports on a study of engineering students at the Technical University of Norway (NTH) which focuses on the factors that influence women to become students at NTH. Compares study results to national and international studies concerning women and work. (ML)
Descriptors: College Students, Engineering Education, Engineers, Females
Bauer, Daniel J. – Journal of Educational and Behavioral Statistics, 2003
Multilevel linear models (MLMs) provide a powerful framework for analyzing data collected at nested or non-nested levels, such as students within classrooms. The current article draws on recent analytical and software advances to demonstrate that a broad class of MLMs may be estimated as structural equation models (SEMs). Moreover, within the SEM…
Descriptors: Structural Equation Models, Data Analysis, Computer Software, Evaluation Methods
EdSource, 2010
This paper presents the research and methodology and analyses used for the "Gaining Ground in the Middle Grades" research. This appendix contains the following sections: (1) Overview; (2) Constructing the Survey Data File; (3) Constructing Composite Independent Variables (Subdomains); (4) Constructing Longitudinal Outcome Variables; (5)…
Descriptors: Academic Achievement, Measures (Individuals), Longitudinal Studies, Research Methodology
EdSource, 2010
This appendix accompanies "Gaining Ground in the Middle Grades: Why Some Schools Do Better. A Large-Scale Study of Middle Grades Practices and Student Outcomes. Initial Research Report." This appendix focuses on the findings and domain comparisons of the study. This appendix contains the following: (1) Decision Rules; (2) Full Set of…
Descriptors: Academic Achievement, Surveys, Middle Schools, Grade 6
EdSource, 2010
In the 2008-09 school year researchers from EdSource and Stanford University conducted a large-scale study of 303 middle grades schools in California. The team surveyed 303 principals, 3,752 English Language Arts (ELA) and math teachers in grades 6-8, and 157 superintendents of the districts and charter management organizations that oversee the…
Descriptors: Academic Achievement, Goal Orientation, Cooperative Planning, Mathematics Teachers
McMillen, Janey Sturtz; Simeonsson, Rune J. – 1997
A study involving 83 child care providers conducted two surveys to investigate providers' self-perceived knowledge, skills, and attitudes toward working with children (and their families) who are exposed to substances, and their attitudes towards children with Down syndrome and children who are chronically ill. Results from the surveys indicated:…
Descriptors: Attitudes toward Disabilities, Child Caregivers, Chronic Illness, Day Care Centers
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