Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Computation | 3 |
Statistical Analysis | 3 |
Computer Software | 2 |
Researchers | 2 |
Social Sciences | 2 |
College Students | 1 |
Data Analysis | 1 |
Data Collection | 1 |
Effect Size | 1 |
Factor Analysis | 1 |
Item Response Theory | 1 |
More ▼ |
Author
Cui, Mengyao | 1 |
Dever, Jill A. | 1 |
Ellis, Paul D. | 1 |
Kreuter, Frauke | 1 |
Paek, Insu | 1 |
Valliant, Richard | 1 |
Yang, Yanyun | 1 |
Öztürk Gübes, Nese | 1 |
Publication Type
Books | 2 |
Reports - Descriptive | 2 |
Guides - Non-Classroom | 1 |
Journal Articles | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Students | 3 |
Practitioners | 2 |
Researchers | 2 |
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Paek, Insu; Cui, Mengyao; Öztürk Gübes, Nese; Yang, Yanyun – Educational and Psychological Measurement, 2018
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students…
Descriptors: Item Response Theory, Computation, Factor Analysis, Statistical Analysis
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
Ellis, Paul D. – Cambridge University Press, 2010
This succinct and jargon-free introduction to effect sizes gives students and researchers the tools they need to interpret the practical significance of their results. Using a class-tested approach that includes numerous examples and step-by-step exercises, it introduces and explains three of the most important issues relating to the practical…
Descriptors: Effect Size, Statistical Analysis, Meta Analysis, Research