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Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun; Kim, Esther – Grantee Submission, 2021
Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…
Descriptors: Meta Analysis, Case Studies, Research Design, Hierarchical Linear Modeling
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun – Grantee Submission, 2021
This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…
Descriptors: Hierarchical Linear Modeling, Intervention, Research Design, Participant Characteristics
Lindsay M. Fallon; Patrick Robinson-Link; Tyler A. Womack; Laura A. Alba; Ryan Sunda; Staci Ballard; Margarida Veiga; Austin H. Johnson – Grantee Submission, 2023
Racism is enmeshed within the fabric of U.S. public education, making it critical to identify and dismantle. One way to do this is to provide professional development (PD) to teachers targeting anti-racism to build awareness, decenter whiteness, and advance racial equity in schools. This systematic review is a synthesis of anti-racism PD studies,…
Descriptors: Racism, Public Education, Equal Education, Urban Schools
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Anushay Mazhar; Craig S. Bailey – Grantee Submission, 2024
The errors young children make when recognising others' emotions may be systematic over-identification biases and may partially explain the challenges some have socially. These biases and associations may be differential by emotion. In a sample of 871 ethnically and racially diverse preschool-aged children (i.e. 33-68 months; 49% Hispanic/Latine,…
Descriptors: Preschool Children, Preschool Teachers, Family Characteristics, Participant Characteristics
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Martha W. Alibali; Percival G. Matthews; Jessica Rodrigues; Rui Meng; Nicholas A. Vest; Victoria Jay; David Menendez; Jennifer O. Murray; Andrea Marquardt Donovan; Lauren E. Anthony; Nicole M. McNeil – Grantee Submission, 2024
Research on mathematical cognition, learning, and instruction (MCLI) often takes cognition as its point of departure and considers instruction at a later point in the research cycle. In this paper, we call for psychologists who study MCLI to reflect on the "status quo" of their research practices and to consider making instruction an…
Descriptors: Mathematics Education, Schemata (Cognition), Intervention, Learning Processes
Andres De Los Reyes; Mo Wang; Matthew D. Lerner; Bridget A. Makol; Olivia M. Fitzpatrick; John R. Weisz – Grantee Submission, 2022
Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies…
Descriptors: Mental Health, Measurement Techniques, Evaluation Methods, Research
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Sarah Surrain; Gigi Luk – Grantee Submission, 2023
Theoretical models have posited that social contexts influence parental attitudes, which in turn modulate parental behaviors. The current study asks whether parental attitudes on bilingualism differ by local language context and whether parents who perceive bilingualism as more valuable are more likely to engage in activities with their child in…
Descriptors: Bilingualism, Second Language Learning, Multilingualism, Parent Attitudes
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Anne C. Reed; Kelly Farquharson – Grantee Submission, 2024
Purpose: Situated within the conservation of resources theory, this study sought to understand how resources such as self-efficacy, job satisfaction, caseload size, and geographic location influence the number of data sources used by school-based speech-language pathologists (SLPs) to determine eligibility. Method: Using a cross-sectional…
Descriptors: Speech Language Pathology, Self Efficacy, Decision Making, Job Satisfaction
Jacquelyn E. Stephens; David B. Rompilla Jr.; Emily F. Hittner; Vijay A. Mittal; Claudia M. Haase – Grantee Submission, 2023
When confronted with an emotion prototype (e.g., loss), individuals may experience not only target emotions (e.g., sadness), but also nontarget emotions (emotions that are atypical or incongruent with an emotion prototype; e.g., gratitude in response to loss). What are the cognitive correlates of nontarget emotions? Drawing from models of emotion…
Descriptors: Executive Function, Correlation, Emotional Response, Short Term Memory
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
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Tricia A. Zucker; Michael P. Mesa; Dana DeMaster; Yoonkyung Oh; Michael Assel; Cheryl McCallum; Valerie P. Bambha – Grantee Submission, 2024
Introduction: This article investigates an early STEM family engagement program offered during the pre-kindergarten (pre-k) year. Pre-k is an important juncture for community organizations to support children's STEM engagement and parental involvement in informal STEM learning. We evaluated a program called Teaching Together STEM, which offers a…
Descriptors: STEM Education, Family Programs, Preschool Education, Community Programs
Fan Yang; Peng Ding – Grantee Submission, 2018
In some randomized clinical trials, patients may die before the measurements of their outcomes. Even though randomization generates comparable treatment and control groups, the remaining survivors often differ significantly in background variables that are prognostic to the outcomes. This is called the truncation by death problem. Under the…
Descriptors: Randomized Controlled Trials, Medical Research, Patients, Death
Snyder, Patricia A.; Rakap, Salih; Hemmeter, Mary Louise; McLaughlin, Tara W.; Sandall, Susan; McLean, Mary E. – Grantee Submission, 2015
Naturalistic instructional approaches are used to provide intentional and systematic instruction to young children with disabilities during typically occurring activities. Several naturalistic instructional approaches have been described in the extant literature, although different terms have been used to refer to these approaches (e.g.,…
Descriptors: Teaching Methods, Disabilities, Preschool Children, Preschool Education
Amanda L. Roy; Erin Brooke Godfrey; Jason R. D. Rarick – Grantee Submission, 2016
Bridging research on relative income and subjective social status (SSS), this study examines how neighborhood relative income is related to ones' SSS, and in turn, physical and mental health. Using a survey sample of 1807 U.S. adults, we find that neighborhood median income significantly moderates the relationship between household income and…
Descriptors: Neighborhoods, Socioeconomic Status, Social Differences, Correlation