NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Educational and Psychological…356
Audience
Practitioners1
What Works Clearinghouse Rating
Showing 1 to 15 of 356 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Han, Kyung T.; Dimitrov, Dimiter M.; Al-Mashary, Faisal – Educational and Psychological Measurement, 2019
The "D"-scoring method for scoring and equating tests with binary items proposed by Dimitrov offers some of the advantages of item response theory, such as item-level difficulty information and score computation that reflects the item difficulties, while retaining the merits of classical test theory such as the simplicity of number…
Descriptors: Test Construction, Scoring, Test Items, Adaptive Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Jordan, Pascal; Spiess, Martin – Educational and Psychological Measurement, 2019
Factor loadings and item discrimination parameters play a key role in scale construction. A multitude of heuristics regarding their interpretation are hardwired into practice--for example, neglecting low loadings and assigning items to exactly one scale. We challenge the common sense interpretation of these parameters by providing counterexamples…
Descriptors: Test Construction, Test Items, Item Response Theory, Factor Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ren; Huggins-Manley, Anne Corinne; Bulut, Okan – Educational and Psychological Measurement, 2018
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item…
Descriptors: Models, Item Response Theory, Psychometrics, Test Construction
Peer reviewed Peer reviewed
Direct linkDirect link
Preston, Kathleen Suzanne Johnson; Gottfried, Allen W.; Park, Jonathan J.; Manapat, Patrick Don; Gottfried, Adele Eskeles; Oliver, Pamella H. – Educational and Psychological Measurement, 2018
Measurement invariance is a prerequisite when comparing different groups of individuals or when studying a group of individuals across time. This assures that the same construct is assessed without measurement artifacts. This investigation applied a novel approach of simultaneous parameter linking to cross-sectional and longitudinal measures of…
Descriptors: Longitudinal Studies, Family Relationship, Measurement, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ren – Educational and Psychological Measurement, 2018
Attribute structure is an explicit way of presenting the relationship between attributes in diagnostic measurement. The specification of attribute structures directly affects the classification accuracy resulted from psychometric modeling. This study provides a conceptual framework for understanding misspecifications of attribute structures. Under…
Descriptors: Diagnostic Tests, Classification, Test Construction, Relationship
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ren; Huggins-Manley, Anne Corinne; Bradshaw, Laine – Educational and Psychological Measurement, 2017
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a…
Descriptors: Matrices, Classification, Accuracy, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Tongyun; Jiao, Hong; Macready, George B. – Educational and Psychological Measurement, 2016
The present study investigates different approaches to adding covariates and the impact in fitting mixture item response theory models. Mixture item response theory models serve as an important methodology for tackling several psychometric issues in test development, including the detection of latent differential item functioning. A Monte Carlo…
Descriptors: Item Response Theory, Psychometrics, Test Construction, Monte Carlo Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Marcoulides, George A.; Tong, Bing – Educational and Psychological Measurement, 2016
A latent variable modeling procedure is discussed that can be used to test if two or more homogeneous multicomponent instruments with distinct components are measuring the same underlying construct. The method is widely applicable in scale construction and development research and can also be of special interest in construct validation studies.…
Descriptors: Models, Statistical Analysis, Measurement Techniques, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Attali, Yigal; Laitusis, Cara; Stone, Elizabeth – Educational and Psychological Measurement, 2016
There are many reasons to believe that open-ended (OE) and multiple-choice (MC) items elicit different cognitive demands of students. However, empirical evidence that supports this view is lacking. In this study, we investigated the reactions of test takers to an interactive assessment with immediate feedback and answer-revision opportunities for…
Descriptors: Test Items, Questioning Techniques, Differences, Student Reaction
Peer reviewed Peer reviewed
Direct linkDirect link
Preston, Kathleen Suzanne Johnson; Parral, Skye N.; Gottfried, Allen W.; Oliver, Pamella H.; Gottfried, Adele Eskeles; Ibrahim, Sirena M.; Delany, Danielle – Educational and Psychological Measurement, 2015
A psychometric analysis was conducted using the nominal response model under the item response theory framework to construct the Positive Family Relationships scale. Using data from the Fullerton Longitudinal Study, this scale was constructed within a long-term longitudinal framework spanning middle childhood through adolescence. Items tapping…
Descriptors: Family Relationship, Measures (Individuals), Psychometrics, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
Peer reviewed Peer reviewed
Direct linkDirect link
He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Pei-Ying; Lin, Yu-Cheng – Educational and Psychological Measurement, 2014
This exploratory study investigated potential sources of setting accommodation resulting in differential item functioning (DIF) on math and reading assessments for examinees with varied learning characteristics. The examinees were those who participated in large-scale assessments and were tested in either standardized or accommodated testing…
Descriptors: Test Bias, Multivariate Analysis, Testing Accommodations, Mathematics Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Wiley, Edward W.; Shavelson, Richard J.; Kurpius, Amy A. – Educational and Psychological Measurement, 2014
The name "SAT" has become synonymous with college admissions testing; it has been dubbed "the gold standard." Numerous studies on its reliability and predictive validity show that the SAT predicts college performance beyond high school grade point average. Surprisingly, studies of the factorial structure of the current version…
Descriptors: College Readiness, College Admission, College Entrance Examinations, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Pei-Hua; Chang, Hua-Hua; Wu, Haiyan – Educational and Psychological Measurement, 2012
Two sampling-and-classification-based procedures were developed for automated test assembly: the Cell Only and the Cell and Cube methods. A simulation study based on a 540-item bank was conducted to compare the performance of the procedures with the performance of a mixed-integer programming (MIP) method for assembling multiple parallel test…
Descriptors: Test Items, Selection, Test Construction, Item Response Theory
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  24