Descriptor
Source
| ETS Research Report Series | 1 |
Author
| Reckase, Mark D. | 3 |
| Ackerman, Terry A. | 1 |
| Carlson, James E. | 1 |
| Kolen, Michael J. | 1 |
| Liu, Mei, Ed. | 1 |
| McKinley, Robert L. | 1 |
| Schiel, Jeff | 1 |
| Spray, Judith A. | 1 |
| Wang, Tianyou | 1 |
| von Davier, Alina A., Ed. | 1 |
Publication Type
| Reports - Research | 5 |
| Speeches/Meeting Papers | 5 |
| Reports - Evaluative | 2 |
| Collected Works - General | 1 |
| Journal Articles | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Researchers | 4 |
Location
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 7 |
| Advanced Placement… | 1 |
| College Level Examination… | 1 |
| Law School Admission Test | 1 |
| SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Carlson, James E.; Spray, Judith A. – 1986
This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…
Descriptors: Cutting Scores, Data Analysis, Difficulty Level, Error of Measurement
Schiel, Jeff – 1998
This report examines both the substantiveness and statistical significance of differences between mean American College Testing (ACT) Program assessment scale scores. The first part of the report describes the development and results of a method for interpreting the substantiveness of mean differences in terms of test items correctly answered. For…
Descriptors: College Entrance Examinations, High School Students, High Schools, Scores
Reckase, Mark D.; McKinley, Robert L. – 1982
This paper reviews the existing multidimensional item response theory (IRT) models and demonstrates how one of the models can be applied to estimation of abilities from a test measuring more than one dimension. The purposes of this paper were threefold. First, the fundamental concepts required when considering multidimensional models for the…
Descriptors: Estimation (Mathematics), Higher Education, Latent Trait Theory, Mathematical Models
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit
PDF pending restorationReckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis
von Davier, Alina A., Ed.; Liu, Mei, Ed. – ETS Research Report Series, 2006
This report builds on and extends existent research on population invariance to new tests and issues. The authors lay the foundation for a deeper understanding of the use of population invariance measures in a wide variety of practical contexts. The invariance of linear, equipercentile and IRT equating methods are examined using data from five…
Descriptors: Equated Scores, Statistical Analysis, Data Collection, Test Format
Reckase, Mark D.; Ackerman, Terry A. – 1986
This paper demonstrates the relationship between the concept of unidimensionality and direction of an item in a multidimensional space. The basic premise is that if items that measure in the same direction are combined to form a test, that test will meet the item response theory requirements of unidimensionality. This will be true even if the…
Descriptors: Achievement Tests, College Entrance Examinations, Estimation (Mathematics), Goodness of Fit

Peer reviewed
