NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)2
Since 2006 (last 20 years)6
Audience
Researchers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Heller, Monica L.; Cassady, Jerrell C. – Journal of College Student Retention: Research, Theory & Practice, 2017
The current study explored the differential influences that behavioral learning strategies (i.e., cognitive-metacognitive, resource management), motivational profiles, and academic anxiety appraisals have on college-level learners in two unique learning contexts. Using multivariate analysis of variance and discriminant analysis, the study first…
Descriptors: Community Colleges, Two Year College Students, College Students, Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Willinger, Ulrike; Schmoeger, Michaela; Deckert, Matthias; Eisenwort, Brigitte; Loader, Benjamin; Hofmair, Annemarie; Auff, Eduard – Journal of Psycholinguistic Research, 2017
Specific language impairment (SLI) comprises impairments in receptive and/or expressive language. Aim of this study was to evaluate a screening for SLI. 61 children with SLI (SLI-children, age-range 4-6 years) and 61 matched typically developing controls were tested for receptive language ability (Token Test-TT) and for intelligence (Wechsler…
Descriptors: Screening Tests, Clinical Diagnosis, Language Impairments, Preschool Children
Crossley, Scott; McNamara, Danielle S.; Baker, Ryan; Wang, Yuan; Paquette, Luc; Barnes, Tiffany; Bergner, Yoav – International Educational Data Mining Society, 2015
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…
Descriptors: Online Courses, Large Group Instruction, Information Retrieval, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Bubulj, Milan; Arsenijevi, Olja; Simic, Jelena – Educational Research and Reviews, 2011
The authors of this paper are engaged in studying the organizational culture and achievement motive, by carrying out their studies among the students of the Faculty of Management in Novi Sad, AP Vojvodina, Serbia. The problem of this paper's research was set by the question: is there a connection of a dominantly present organizational culture and…
Descriptors: Organizational Culture, Schools, Foreign Countries, Organizational Development
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Tan; Chen, Ang; Chen, Senlin; Hong, Deockki; Loflin, Jerry; Ennis, Catherine – European Physical Education Review, 2014
In physical education, it has become necessary for children to learn kinesiological knowledge for understanding the benefits of physical activity and developing a physically active lifestyle. This study was conducted to determine the extent to which cognitive assignments about healthful living and fitness contributed to knowledge growth on…
Descriptors: Physical Education, Exercise Physiology, Motor Development, Physical Activities
Peer reviewed Peer reviewed
Direct linkDirect link
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Peer reviewed Peer reviewed
Betz, Nancy E. – Journal of Counseling Psychology, 1987
Describes the method of discriminant analysis, including the concept of discriminant function, discriminant score, group centroid, and discriminant weights and loadings. Discusses methods for testing the statistical significance of a function, methods of using the function in classification, and the concept of rotating functions. Illustrates the…
Descriptors: Behavioral Science Research, Discriminant Analysis, Multivariate Analysis, Prediction
Huberty, Carl J.; Wisenbaker, Joseph M. – 1990
Some interpretations of relative variable importance in the contexts of multivariate analysis of variance (MANOVA) and discriminant analysis (DA) are presented. Some indices potentially useful for the interpretations are presented, and the assessment of variable importance is illustrated using real data sets. Both descriptive discriminant analysis…
Descriptors: Analysis of Variance, Comparative Analysis, Discriminant Analysis, Multivariate Analysis
Strand, Kenneth H. – Online Submission, 2000
This paper contains information concerning the following: 1. An overview of multivariate analysis of variance, and discriminant (DA) and canonical (CA) analyses. 2. An introduction to specification and measurement errors, and collinearity. 3. The sparsity of information concerning specification and measurement errors and collinearity as they…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Discriminant Analysis, Error of Measurement
Peer reviewed Peer reviewed
Hsu, Louis M. – Journal of Counseling Psychology, 1989
Discusses three topics related to interpretation of discriminant analyses (DA's): (1) partial F ratios and partial Wilks's lambdas for predictor variables in standard, step-down, and stepwise DA's; (2) relation of goals of classification to definition/evaluation of classification rules; and (3) significance tests for total hit rates in internal…
Descriptors: Data Interpretation, Discriminant Analysis, Multivariate Analysis, Predictor Variables
Van Epps, Pamela D. – 1987
This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…
Descriptors: Classification, Correlation, Discriminant Analysis, Educational Research
Peer reviewed Peer reviewed
Eder, Sheila; And Others – Evaluation and Program Planning: An International Journal, 1985
An alternative approach for program evaluation of small, specialized programs when comparison groups are not available is described. This application is illustrated by presenting the results of an analysis of data from Project Talent, a national manpower study, and discussing its application to the evaluation of a medical training program.…
Descriptors: Comparative Analysis, Control Groups, Discriminant Analysis, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Ralston, Chistopher A.; Borgen, Fred H.; Rottinghaus, Patrick J.; Donnay, David A. C. – Journal of Vocational Behavior, 2004
The Basic Interest Scales (BISs) of the Strong Interest Inventory (SII; Harmon, Hansen, Borgen, & Hammer, 1994) have a 35-year history. The BISs are the specific content scales of the SII, as opposed to the SII general content scales, the General Occupational Themes (GOTs), which measure the six Holland (1997) RIASEC themes. Using 17,074…
Descriptors: Majors (Students), National Norms, Interest Inventories, Discriminant Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Jewell, Jeremy D.; Stark, Kevin D. – Journal of Child and Family Studies, 2003
We attempted to differentiate the family environments of youth with Conduct Disorder (CD) compared to youth with a depressive disorder. Participants were 34 adolescents from a residential treatment facility. The K-SADS-P was used to determine the youth's diagnosis, while their family environment was assessed by the Self Report Measure of Family…
Descriptors: Adolescents, Discriminant Analysis, Family Environment, Depression (Psychology)