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Joanna L. Dickert; Jian Li – Research in Higher Education, 2024
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of postsecondary education, it is critically important that institutions ascertain and invest in the elements of campus learning and engagement that add value to the undergraduate experience. This study…
Descriptors: College Graduates, Student Participation, Educational Practices, Longitudinal Studies
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Sekercioglu, Güçlü – International Online Journal of Education and Teaching, 2018
An empirical evidence for independent samples of a population regarding measurement invariance implies that factor structure of a measurement tool is equal across these samples; in other words, it measures the intended psychological trait within the same structure. In this case, the evidence of construct validity would be strengthened within the…
Descriptors: Factor Analysis, Error of Measurement, Factor Structure, Construct Validity
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Swanson, Elizabeth; Barnes, Marcia; Fall, Anna-Mari; Roberts, Greg – Reading & Writing Quarterly, 2018
The purpose of this study was to investigate the impact of inference making, decoding, memory, and vocabulary on reading comprehension among 7th- through 12th-grade struggling readers with varying levels of inattention and hyperactivity. We categorized a group of 414 struggling readers into 3 groups based on results from factor mixture modeling:…
Descriptors: Reading Comprehension, Reading Skills, Reading Difficulties, Decoding (Reading)
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Villafañe, Sachel M.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2016
Decisions about instruction, research, or policy often require the interpretation of student assessment scores. Increasingly, attitudinal variables are included in an assessment strategy, and it is important to ensure that interpretations of students' attitudinal status are based on instrument scores that apply similarly for diverse students. In…
Descriptors: Scientific Attitudes, Introductory Courses, Chemistry, Attitude Measures
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Jo, Booil; Stuart, Elizabeth A.; MacKinnon, David P.; Vinokur, Amiram D. – Multivariate Behavioral Research, 2011
Mediation analysis uses measures of hypothesized mediating variables to test theory for how a treatment achieves effects on outcomes and to improve subsequent treatments by identifying the most efficient treatment components. Most current mediation analysis methods rely on untested distributional and functional form assumptions for valid…
Descriptors: Probability, Scores, Statistical Analysis, Computation
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Coffman, Donna L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…
Descriptors: Structural Equation Models, Simulation, Regression (Statistics), Probability
Elliott, Pamela R. – 1997
Research on factors related to student academic achievement typically involves the use of some type of total cognitive score as the final outcome measure. However, in using a total score, it is assumed that variables related to student learning have the same effect on student learning across academic skill levels. Using a subsample from the first…
Descriptors: Academic Achievement, Educational Indicators, Followup Studies, Mathematics Achievement