NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Applied Measurement in…111
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 111 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
Peer reviewed Peer reviewed
Direct linkDirect link
Tenko Raykov; George A. Marcoulides; Natalja Menold – Applied Measurement in Education, 2024
We discuss an application of Bayesian factor analysis for estimation of the optimal linear combination and associated maximal reliability of a multi-component measuring instrument. The described procedure yields point and credibility interval estimates of this reliability coefficient, which are readily obtained in educational and behavioral…
Descriptors: Bayesian Statistics, Test Reliability, Error of Measurement, Measurement Equipment
Peer reviewed Peer reviewed
Direct linkDirect link
Hogan, Thomas; DeStefano, Marissa; Gilby, Caitlin; Kosman, Dana; Peri, Joshua – Applied Measurement in Education, 2021
Buros' "Mental Measurements Yearbook (MMY)" has provided professional reviews of commercially published psychological and educational tests for over 80 years. It serves as a kind of conscience for the testing industry. For a random sample of 50 entries in the "19th MMY" (a total of 100 separate reviews) this study determined…
Descriptors: Test Reviews, Interrater Reliability, Psychological Testing, Educational Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Xiao, Leifeng; Hau, Kit-Tai – Applied Measurement in Education, 2023
We compared coefficient alpha with five alternatives (omega total, omega RT, omega h, GLB, and coefficient H) in two simulation studies. Results showed for unidimensional scales, (a) all indices except omega h performed similarly well for most conditions; (b) alpha is still good; (c) GLB and coefficient H overestimated reliability with small…
Descriptors: Test Theory, Test Reliability, Factor Analysis, Test Length
Peer reviewed Peer reviewed
Direct linkDirect link
van Alphen, Thijmen; Jak, Suzanne; Jansen in de Wal, Joost; Schuitema, Jaap; Peetsma, Thea – Applied Measurement in Education, 2022
Intensive longitudinal data is increasingly used to study state-like processes such as changes in daily stress. Measures aimed at collecting such data require the same level of scrutiny regarding scale reliability as traditional questionnaires. The most prevalent methods used to assess reliability of intensive longitudinal measures are based on…
Descriptors: Test Reliability, Measures (Individuals), Anxiety, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
DeMars, Christine E. – Applied Measurement in Education, 2021
Estimation of parameters for the many-facets Rasch model requires that conditional on the values of the facets, such as person ability, item difficulty, and rater severity, the observed responses within each facet are independent. This requirement has often been discussed for the Rasch models and 2PL and 3PL models, but it becomes more complex…
Descriptors: Item Response Theory, Test Items, Ability, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Bimpeh, Yaw; Pointer, William; Smith, Ben Alexander; Harrison, Liz – Applied Measurement in Education, 2020
Many high-stakes examinations in the United Kingdom (UK) use both constructed-response items and selected-response items. We need to evaluate the inter-rater reliability for constructed-response items that are scored by humans. While there are a variety of methods for evaluating rater consistency across ratings in the psychometric literature, we…
Descriptors: Scoring, Generalizability Theory, Interrater Reliability, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Wise, Steven L. – Applied Measurement in Education, 2019
The identification of rapid guessing is important to promote the validity of achievement test scores, particularly with low-stakes tests. Effective methods for identifying rapid guesses require reliable threshold methods that are also aligned with test taker behavior. Although several common threshold methods are based on rapid guessing response…
Descriptors: Guessing (Tests), Identification, Reaction Time, Reliability
Peer reviewed Peer reviewed
Direct linkDirect link
Almehrizi, Rashid S. – Applied Measurement in Education, 2021
KR-21 reliability and its extension (coefficient [alpha]) gives the reliability estimate of test scores under the assumption of tau-equivalent forms. KR-21 reliability gives the reliability estimate for summed scores for dichotomous items when items are randomly sampled from an infinite pool of similar items (randomly parallel forms). The article…
Descriptors: Test Reliability, Scores, Scoring, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Myers, Aaron J.; Ames, Allison J.; Leventhal, Brian C.; Holzman, Madison A. – Applied Measurement in Education, 2020
When rating performance assessments, raters may ascribe different scores for the same performance when rubric application does not align with the intended application of the scoring criteria. Given performance assessment score interpretation assumes raters apply rubrics as rubric developers intended, misalignment between raters' scoring processes…
Descriptors: Scoring Rubrics, Validity, Item Response Theory, Interrater Reliability
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, W. Jake; Clark, Amy K.; Nash, Brooke – Applied Measurement in Education, 2019
As the use of diagnostic assessment systems transitions from research applications to large-scale assessments for accountability purposes, reliability methods that provide evidence at each level of reporting are needed. The purpose of this paper is to summarize one simulation-based method for estimating and reporting reliability for an…
Descriptors: Test Reliability, Diagnostic Tests, Classification, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Stella Y.; Lee, Won-Chan – Applied Measurement in Education, 2019
This study explores classification consistency and accuracy for mixed-format tests using real and simulated data. In particular, the current study compares six methods of estimating classification consistency and accuracy for seven mixed-format tests. The relative performance of the estimation methods is evaluated using simulated data. Study…
Descriptors: Classification, Reliability, Accuracy, Test Format
Peer reviewed Peer reviewed
Direct linkDirect link
Slepkov, Aaron D.; Godfrey, Alan T. K. – Applied Measurement in Education, 2019
The answer-until-correct (AUC) method of multiple-choice (MC) testing involves test respondents making selections until the keyed answer is identified. Despite attendant benefits that include improved learning, broad student adoption, and facile administration of partial credit, the use of AUC methods for classroom testing has been extremely…
Descriptors: Multiple Choice Tests, Test Items, Test Reliability, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Kieftenbeld, Vincent; Boyer, Michelle – Applied Measurement in Education, 2017
Automated scoring systems are typically evaluated by comparing the performance of a single automated rater item-by-item to human raters. This presents a challenge when the performance of multiple raters needs to be compared across multiple items. Rankings could depend on specifics of the ranking procedure; observed differences could be due to…
Descriptors: Automation, Scoring, Comparative Analysis, Test Items
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8