Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 18 |
Descriptor
Source
Author
Gross, Alan L. | 3 |
Ahn, Woo-kyoung | 1 |
Aleven, Vincent | 1 |
Becker, Betsy Jane | 1 |
Behrens, John T. | 1 |
Bergeman, C. S. | 1 |
Bloome, Deirdre | 1 |
Bockenholt, Ulf | 1 |
Brown, C. Hendricks | 1 |
Carvajal, Jorge | 1 |
Chappel, Kristina | 1 |
More ▼ |
Publication Type
Reports - Evaluative | 28 |
Journal Articles | 20 |
Speeches/Meeting Papers | 5 |
Reports - Research | 1 |
Education Level
Elementary Education | 2 |
Grade 8 | 2 |
Higher Education | 2 |
Adult Education | 1 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
More ▼ |
Audience
Location
Australia | 1 |
Florida | 1 |
Netherlands | 1 |
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Florida Comprehensive… | 1 |
National Assessment of… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Bloome, Deirdre; Schrage, Daniel – Sociological Methods & Research, 2021
Causal analyses typically focus on average treatment effects. Yet for substantive research on topics like inequality, interest extends to treatments' distributional consequences. When individuals differ in their responses to treatment, three types of inequality may result. Treatment may shape inequalities between subgroups defined by pretreatment…
Descriptors: Regression (Statistics), Outcomes of Treatment, Statistical Analysis, Correlation
Li, Tenglong; Frank, Ken – Sociological Methods & Research, 2022
The internal validity of observational study is often subject to debate. In this study, we define the counterfactuals as the unobserved sample and intend to quantify its relationship with the null hypothesis statistical testing (NHST). We propose the probability of a robust inference for internal validity, that is, the PIV, as a robustness index…
Descriptors: Probability, Inferences, Validity, Correlation
Shi, Linyu; Chu, Haitao; Lin, Lifeng – Research Synthesis Methods, 2020
Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…
Descriptors: Bayesian Statistics, Meta Analysis, Effect Size, Publications
Pittayachawan, Siddhi; Macauley, Peter; Evans, Terry – Journal of Higher Education Policy and Management, 2016
This article reports how statistical analyses of PhD thesis records can reveal future research capacities for disciplines beyond their primary fields. The previous research showed that most theses contributed to and/or used methodologies from more than one discipline. In Australia, there was a concern for declining mathematical teaching and…
Descriptors: Databases, Doctoral Dissertations, Foreign Countries, Statistical Analysis
Taylor, Eric G.; Ahn, Woo-kyoung – Cognitive Psychology, 2012
Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C…
Descriptors: Evidence, Prior Learning, Bayesian Statistics, Correlation
Goldin, Ilya M.; Koedinger, Kenneth R.; Aleven, Vincent – International Educational Data Mining Society, 2012
Although ITSs are supposed to adapt to differences among learners, so far, little attention has been paid to how they might adapt to differences in how students learn from help. When students study with an Intelligent Tutoring System, they may receive multiple types of help, but may not comprehend and make use of this help in the same way. To…
Descriptors: Performance Factors, Intelligent Tutoring Systems, Individual Differences, Prediction
Wang, Lijuan; Hamaker, Ellen; Bergeman, C. S. – Psychological Methods, 2012
Intra-individual variability over a short period of time may contain important information about how individuals differ from each other. In this article we begin by discussing diverse indicators for quantifying intra-individual variability and indicate their advantages and disadvantages. Then we propose an alternative method that models…
Descriptors: Evaluation Methods, Data Analysis, Individual Differences, Models
West, Patti; Rutstein, Daisy Wise; Mislevy, Robert J.; Liu, Junhui; Choi, Younyoung; Levy, Roy; Crawford, Aaron; DiCerbo, Kristen E.; Chappel, Kristina; Behrens, John T. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2010
A major issue in the study of learning progressions (LPs) is linking student performance on assessment tasks to the progressions. This report describes the challenges faced in making this linkage using Bayesian networks to model LPs in the field of computer networking. The ideas are illustrated with exemplar Bayesian networks built on Cisco…
Descriptors: Bayesian Statistics, Computer Networks, Evidence, Learning Processes
Ip, Edward H. – Applied Psychological Measurement, 2010
The testlet response model is designed for handling items that are clustered, such as those embedded within the same reading passage. Although the testlet is a powerful tool for handling item clusters in educational and psychological testing, the interpretations of its item parameters, the conditional correlation between item pairs, and the…
Descriptors: Item Response Theory, Models, Test Items, Correlation
Tchumtchoua, Sylvie; Dey, Dipak K. – Psychometrika, 2012
This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the…
Descriptors: Factor Analysis, Bayesian Statistics, Behavioral Sciences, Social Sciences
Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
Jenkins, Melissa M.; Youngstrom, Eric A.; Youngstrom, Jennifer Kogos; Feeny, Norah C.; Findling, Robert L. – Psychological Assessment, 2012
Bipolar disorder is frequently clinically diagnosed in youths who do not actually satisfy Diagnostic and Statistical Manual of Mental Disorders (4th ed., text revision; DSM-IV-TR; American Psychiatric Association, 1994) criteria, yet cases that would satisfy full DSM-IV-TR criteria are often undetected clinically. Evidence-based assessment methods…
Descriptors: Evidence, Mental Health, Mental Disorders, Clinical Diagnosis
Skorupski, William P.; Carvajal, Jorge – Educational and Psychological Measurement, 2010
This study is an evaluation of the psychometric issues associated with estimating objective level scores, often referred to as "subscores." The article begins by introducing the concepts of reliability and validity for subscores from statewide achievement tests. These issues are discussed with reference to popular scaling techniques, classical…
Descriptors: Testing Programs, Test Validity, Achievement Tests, Scores
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research
de la Torre, Jimmy; Song, Hao – Applied Psychological Measurement, 2009
Assessments consisting of different domains (e.g., content areas, objectives) are typically multidimensional in nature but are commonly assumed to be unidimensional for estimation purposes. The different domains of these assessments are further treated as multi-unidimensional tests for the purpose of obtaining diagnostic information. However, when…
Descriptors: Ability, Tests, Item Response Theory, Data Analysis
Previous Page | Next Page ยป
Pages: 1 | 2