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Direct linkSusan Bush-Mecenas; Jonathan Schweig; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2023
The COVID-19 pandemic caused tremendous upheaval in schooling. In addition to its devasting effects on students' academic development, the disruptions to schooling had important consequences for researchers conducting effectiveness studies on educational programs during this era. Given the likelihood of future large-scale disruptions, it is…
Descriptors: Research Problems, Educational Research, COVID-19, Pandemics
Peer reviewedFrancis L. Huang; Bixi Zhang; Wendy M. Reinke; Keith C. Herman; James Sebastian – Grantee Submission, 2023
Although several studies have focused on why school climate is important, the timing of the collection of climate measures should be considered. This is of particular interest to schools that gauge school improvement efforts within a school year and are interested in how climate changes from the beginning to the end of the academic year. We show…
Descriptors: Educational Environment, Differences, Measurement, Middle School Students
Elizabeth Bettini; Michelle M. Cumming; Alexandra A. Lauterbach; Hannah Morris Mathews – Grantee Submission, 2024
Special educators serving students with emotional/behavioral disorders (EBD) depend on their principals' support, yet prior research has not explored principals' roles in supporting these programs. Using constructivist grounded theory methods, we analyzed interviews with five elementary school principals about their roles in supporting…
Descriptors: Principals, Administrator Role, Students with Disabilities, Emotional Disturbances
Marjolein E. A. Barendse; Jessica Flannery; Caitlin Cavanagh; Melissa Aristizabal; Stephen P. Becker; Estelle Berger; Rosanna Breaux; Nicole Campione-Barr; Jessica A. Church; Eveline A. Crone; Ronald E. Dahl; Tracy A. Dennis-Tiwary; Melissa R. Dvorsky; Sarah L. Dziura; Suzanne van de Groep; Tiffany C. Ho; Sarah E. Killoren; Joshua M. Langberg; Tyler L. Larguinho; Lucía Magis-Weinberg; Kalina J. Michalska; Jordan L. Mullins; Hanna Nadel; Blaire M. Porter; Mitchell J. Prinstein; Elizabeth Redcay; Amanda J. Rose; Wendy M. Rote; Amy K. Roy; Sophie W. Sweijen; Eva H. Telzer; Giana I. Teresi; April Gile Thomas; Jennifer H. Pfeifer – Grantee Submission, 2023
This study aimed to examine changes in depression and anxiety symptoms from before to during the first six months of the COVID-19 pandemic in a sample of 1,339 adolescents (9-18 years old, 59% female) from three countries. We also examined if age, race/ethnicity, disease burden, or strictness of government restrictions moderated change in…
Descriptors: Change, Depression (Psychology), Anxiety, Symptoms (Individual Disorders)
Kelly Farquharson; Kathryn L. Cabbage; Anne C. Reed; Mary Allison Moody – Grantee Submission, 2023
Purpose: It is often difficult for school-based speech-language pathologists (SLPs) to prioritize implementing new practices for children with speech sound disorders (SSDs), given burgeoning caseloads and the myriad of other workload tasks. We propose that de-implementation science (e.g., Davidson et al. 2017) is equally as important as…
Descriptors: Speech Therapy, Speech Language Pathology, Program Implementation, Caseworker Approach
Sinharay, Sandip; Jensen, Jens Ledet – Grantee Submission, 2018
In educational and psychological measurement, researchers and/or practitioners are often interested in examining whether the ability of an examinee is the same over two sets of items. Such problems can arise in measurement of change, detection of cheating on unproctored tests, erasure analysis, detection of item preknowledge etc. Traditional…
Descriptors: Test Items, Ability, Mathematics, Item Response Theory
French, Jason A.; Menendez, David; Herrmann, Patricia A.; Evans, E. Margaret; Rosengren, Karl S. – Grantee Submission, 2018
We investigated children's (n = 120; 3- to 11-year-olds) and adults' (n = 18) reasoning about life-cycle changes in biological organisms by examining their endorsements of four different patterns of life- span changes. Participants were presented with two separate tasks: (a) judging possible adult versions of a juvenile animal and (b) judging…
Descriptors: Children, Adults, Logical Thinking, Biology
Gongjun Xu; Sy Han Chiou; Chiung-Yu Huang; Mei-Cheng Wang; Jun Yan – Grantee Submission, 2017
Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change…
Descriptors: Failure, Change, Models, Simulation
Becker, Stephen P.; Dvorsky, Melissa R.; Breaux, Rosanna; Cusick, Caroline N.; Taylor, Katherine P.; Langberg, Joshua M. – Grantee Submission, 2021
Study Objectives: To prospectively examine changes in adolescent sleep before and during the COVID-19 pandemic in adolescents with and without ADHD. Methods: Participants were 122 adolescents (ages 15-17; 61% male; 48% with ADHD). Parents reported on adolescents' sleep duration and difficulties initiating and maintaining sleep (DIMS); adolescents…
Descriptors: Adolescents, Sleep, COVID-19, Pandemics
Rosenzweig, Emily Q.; Hecht, Cameron A.; Priniski, Stacy J.; Canning, Elizabeth A.; Asher, Michael W.; Tibbetts, Yoi; Hyde, Janet S.; Harackiewicz, Judith M. – Grantee Submission, 2021
Researchers often invoke the metaphor of a pipeline when studying participation in careers in science, technology, engineering, and mathematics (STEM), focusing on the important issue of students who "leak" from the pipeline, but largely ignoring students who persist in STEM. Using interview, survey, and institutional data over 6 years,…
Descriptors: STEM Education, College Students, Biomedicine, Career Choice
Clark, D. Angus; Nuttall, Amy K.; Bowles, Ryan P. – Grantee Submission, 2018
Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study…
Descriptors: Robustness (Statistics), Statistical Analysis, Longitudinal Studies, Statistical Bias
Ansari, Arya; Purtell, Kelly M. – Grantee Submission, 2018
Using data from the Family and Child Experiences Survey 2009 Cohort (n = 1,073), this study considered the implications of mixed-age education for young children's academic achievement when they experienced continuity and/or changes in classroom age composition across two years in Head Start (at age 3 and age 4). Results from these analyses…
Descriptors: Academic Achievement, Mixed Age Grouping, Preschool Education, Preschool Children
Suh, Youngsuk; Cho, Sun-Joo; Bottge, Brian A. – Grantee Submission, 2018
This article presents a multilevel longitudinal nested logit model for analyzing correct response and error types in multilevel longitudinal intervention data collected under a pretest-posttest, cluster randomized trial design. The use of the model is illustrated with a real data analysis, including a model comparison study regarding model…
Descriptors: Hierarchical Linear Modeling, Longitudinal Studies, Error Patterns, Change
Brower, Rebecca L.; Bertrand Jones, Tamara; Osborne-Lampkin, La'Tara; Hu, Shouping; Park-Gaghan, Toby J. – Grantee Submission, 2019
Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…
Descriptors: Qualitative Research, Data, Change, Barriers
Ji-Eun Lee; Erin Ottmar; Jenny Yun-Chen Chan; Barbara Booker; Lauren Decker-Woodrow – Grantee Submission, 2021
The COVID-19 pandemic has had a massive impact on education systems in the U.S, prompting a variety of changes to school learning environments. This study investigates student/family choices of learning modality in one large school district in the U.S and examines how these choices differ by students' race/ethnicity and performance level. Results…
Descriptors: Learning Modalities, In Person Learning, Electronic Learning, Distance Education
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