NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 31 to 45 of 126 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Daigneault, Pierre-Marc; Jacob, Steve – American Journal of Evaluation, 2009
While participatory evaluation (PE) constitutes an important trend in the field of evaluation, its ontology has not been systematically analyzed. As a result, the concept of PE is ambiguous and inadequately theorized. Furthermore, no existing instrument accurately measures stakeholder participation. First, this article attempts to overcome these…
Descriptors: Concept Formation, Evaluation Methods, Participation, Test Construction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Coyle, James P. – Collected Essays on Learning and Teaching, 2011
Evaluating higher education degree programs is an arduous task. This paper suggests innovative strategies for addressing four types of challenges that commonly occur during program evaluation: identifying theoretical models for evaluation, balancing potentially conflicting standards, accommodating faculty differences, and aligning courses.…
Descriptors: Undergraduate Study, College Programs, Program Evaluation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Bohnert, Amy; Fredricks, Jennifer; Randall, Edin – Review of Educational Research, 2010
Despite increased focus on the effects of organized activities on youth development, there is currently no consensus about the best way to assess various dimensions of involvement. This article explores the complexities of assessing involvement and focuses specifically on the following organized activity dimensions: (a) breadth, (b) intensity, (c)…
Descriptors: Youth Programs, Student Participation, Models, Literature Reviews
Peer reviewed Peer reviewed
Direct linkDirect link
Ewert, Alan; Sibthorp, Jim – Journal of Experiential Education, 2009
There is an increasing interest in the field of experiential education to move beyond simply documenting the value of experiential education programs and, instead, develop more evidence-based models for experiential education practice (cf., Gass, 2005; Henderson, 2004). Due in part to the diversity of experiential education programs, participants,…
Descriptors: Outcomes of Education, Evidence, Models, Program Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2009
In this commentary, the author points out few issues, one being that there are models mislabeled as diagnostic, which deal with linear decompositions of item difficulties rather than estimating multidimensional skill variables. The author discusses the issue that there are many new names for essentially well-known models for multiple simultaneous…
Descriptors: Test Items, Probability, Models, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Iverson, Geoffrey J.; Wagenmakers, Eric-Jan; Lee, Michael D. – Psychological Methods, 2010
The purpose of the recently proposed "p[subscript rep]" statistic is to estimate the probability of concurrence, that is, the probability that a replicate experiment yields an effect of the same sign (Killeen, 2005a). The influential journal "Psychological Science" endorses "p[subscript rep]" and recommends its use…
Descriptors: Effect Size, Evaluation Methods, Probability, Experiments
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Jianjun – School Science and Mathematics, 2011
As the largest international study ever taken in history, the Trend in Mathematics and Science Study (TIMSS) has been held as a benchmark to measure U.S. student performance in the global context. In-depth analyses of the TIMSS project are conducted in this study to examine key issues of the comparative investigation: (1) item flaws in mathematics…
Descriptors: Test Items, Figurative Language, Item Response Theory, Benchmarking
Peer reviewed Peer reviewed
Direct linkDirect link
Hancock, Gregory R. – Measurement: Interdisciplinary Research and Perspectives, 2009
As Rupp and Templin (2008) stated directly, diagnostic classification methods "are confirmatory in nature." Methods, though, are neither inherently confirmatory nor exploratory. Diagnostic classification modeling, with its analytical and computational obstacles eventually yielding as a comprehensive and potent discipline emerges, will…
Descriptors: Structural Equation Models, Test Items, Models, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
McKenzie, Robert G. – Learning Disability Quarterly, 2009
The assessment procedures within Response to Intervention (RTI) models have begun to supplant the use of traditional, discrepancy-based frameworks for identifying students with specific learning disabilities (SLD). Many RTI proponents applaud this shift because of perceived shortcomings in utilizing discrepancy as an indicator of SLD. However,…
Descriptors: Intervention, Learning Disabilities, Error of Measurement, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Wilhelm, Oliver; Robitzsch, Alexander – Measurement: Interdisciplinary Research and Perspectives, 2009
The paper by Rupp and Templin (2008) is an excellent work on the characteristics and features of cognitive diagnostic models (CDM). In this article, the authors comment on some substantial and methodological aspects of this focus paper. They organize their comments by going through issues associated with the terms "cognitive,"…
Descriptors: Research Methodology, Test Items, Models, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Worts, Diana; Sacker, Amanda; McDonough, Peggy – Social Indicators Research, 2010
This paper addresses a key methodological challenge in the modeling of individual poverty dynamics--the influence of measurement error. Taking the US and Britain as case studies and building on recent research that uses latent Markov models to reduce bias, we examine how measurement error can affect a range of important poverty estimates. Our data…
Descriptors: Poverty, Measurement, Error of Measurement, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Jiao, Hong – Measurement: Interdisciplinary Research and Perspectives, 2009
Diagnostic assessment is currently an active research area in educational measurement. Literature related to diagnostic modeling has been in existence for several decades, but a great deal of research has been conducted within the last decade or so, especially within the last five years. The author summarizes the key components in the application…
Descriptors: Educational Assessment, Literature Reviews, Test Items, Probability
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Goldhaber, Dan – Center for American Progress, 2010
The formula is simple: Highly effective teachers equal student academic success. Yet, the physics of American education is anything but. Thus, the question facing education reformers is how can teacher effectiveness be accurately measured in order to improve the teacher workforce? Given the demand for objective, quantitative measures of teacher…
Descriptors: Academic Achievement, Teacher Effectiveness, Models, Merit Pay
Peer reviewed Peer reviewed
Direct linkDirect link
Rothstein, Jesse – Education Finance and Policy, 2009
Nonrandom assignment of students to teachers can bias value-added estimates of teachers' causal effects. Rothstein (2008, 2010) shows that typical value-added models indicate large counterfactual effects of fifth-grade teachers on students' fourth-grade learning, indicating that classroom assignments are far from random. This article quantifies…
Descriptors: Grade 5, Academic Achievement, Student Placement, Educational Assessment
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9