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Peer reviewed
Direct linkDaniel McNeish; Patrick D. Manapat – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…
Descriptors: Factor Analysis, Goodness of Fit, Hierarchical Linear Modeling, Benchmarking
Dülmer, Hermann – Sociological Methods & Research, 2016
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs…
Descriptors: Factor Analysis, Reliability, Validity, Benchmarking
Download full textRoschelle, Jeremy; Murphy, Robert; Feng, Mingyu; Bakia, Marianne – Grantee Submission, 2017
In a rigorous evaluation of ASSISTments as an online homework support conducted in the state of Maine, SRI International reported that "the intervention significantly increased student scores on an end-of-the-year standardized mathematics assessment as compared with a control group that continued with existing homework practices."…
Descriptors: Homework, Program Effectiveness, Effect Size, Cost Effectiveness
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
Jaciw, Andrew P.; Nguyen, Thanh; Lin, Li; Zacamy, Jenna L.; Kwong, Connie; Lau, Sze-Shun – Grantee Submission, 2020
These appendices accompany the report "Final Report of the i3 Impact Study of Making Sense of SCIENCE, 2016-17 through 2017-18." Science education has experienced a significant transition over the last decade, catalyzed by a re-envisioning of what students should know and be able to do in science. That re-envisioning culminated in the…
Descriptors: Faculty Development, Science Instruction, Science Achievement, Elementary School Teachers
Wilson, Joshua; Olinghouse, Natalie G.; Andrada, Gilbert N. – Learning Disabilities: A Contemporary Journal, 2014
The current study examines data from students in grades 4-8 who participated in a statewide computer-based benchmark writing assessment that featured automated essay scoring and automated feedback. We examined whether the use of automated feedback was associated with gains in writing quality across revisions to an essay, and with transfer effects…
Descriptors: Writing Skills, Writing Ability, Feedback (Response), Computer Mediated Communication
