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Showing 16 to 30 of 51 results Save | Export
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McCrudden, Matthew T.; Marchand, Gwen – Educational Psychologist, 2020
We discuss possible uses of multilevel mixed methods (M[superscript 3]) research in educational psychology. To begin, we describe M[superscript 3] research and how such research can enable researchers to investigate potential variation at the group level and at the subgroup/individual level. We discuss why M[superscript 3] research designs are…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Educational Psychology, Psychological Studies
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Kelcey, Ben; Shen, Zuchao – Journal of Experimental Education, 2020
When well-implemented, mediation analyses play a critical role in probing theories of action because their results help lay the ground work for the critical development of a treatment and the iterative advancement of theories that are foundational to a discipline. Despite strong interest in designs that incorporate mediation, few studies have…
Descriptors: Research Design, Sampling, Statistical Analysis, Hierarchical Linear Modeling
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Wang, Tim; Sun, Huaping; Zhou, Yan; Harman, Ann E. – Practical Assessment, Research & Evaluation, 2020
Longitudinal assessment is a type of assessment involving repeated measures over a period to evaluate whether and when an attribute (e.g., ability, skill) changes. Thus, change detection is of central interest in longitudinal assessment. In the assessment setting, change in the desired direction (typically upward) is often referred to as…
Descriptors: Longitudinal Studies, Tests, Progress Monitoring, Hierarchical Linear Modeling
Craig K. Enders – Grantee Submission, 2023
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…
Descriptors: Data, Research, Theories, Regression (Statistics)
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Koster, Jeremy; Leckie, George; Aven, Brandy – Field Methods, 2020
The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…
Descriptors: Statistical Analysis, Computer Software, Hierarchical Linear Modeling, Social Networks
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Hongyu Chen; Lu Tian; Meiqin Zhang – Journal of Chemical Education, 2023
Level 3 characteristics are increasingly important for fingerprint identification, particularly when the fingerprints are problematic and lack level 2 details. In practice, no reliable visualization methods for level 3 features are transferred into a course for the general public, forensic students, or investigators. Our group has reported the…
Descriptors: College Students, Identification, Individual Characteristics, Crime
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Reinstein, Ilan; Hill, Jennifer; Cook, David A.; Lineberry, Matthew; Pusic, Martin V. – Advances in Health Sciences Education, 2021
Visual diagnosis of radiographs, histology and electrocardiograms lends itself to deliberate practice, facilitated by large online banks of cases. Which cases to supply to which learners in which order is still to be worked out, with there being considerable potential for adapting the learning. Advances in statistical modeling, based on an…
Descriptors: Clinical Diagnosis, Visual Aids, Difficulty Level, Regression (Statistics)
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Kaczmarczyk, Pawel; Salamonska, Justyna – Journal of Mixed Methods Research, 2018
This article addresses ethnosurvey methodology, a combination of ethnographic and survey research in migrant origin and destination countries, that is designed to elucidate a better understanding of the multiple facets of migration processes. First, the article reviews the utility of ethnosurvey methodology for researching contemporary migration.…
Descriptors: Immigration, Surveys, Foreign Countries, Ethnography
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Choi, Kilchan – Asia Pacific Education Review, 2020
This paper proposes a teacher effect change model in the form of a latent variable regression 5-level hierarchical model (LVR-HM5). Using multiple years of student achievement data, the LVR-HM5 attempts to simultaneously estimate teacher effect as well as teacher initial status and the gap parameter to model the change of such latent parameters…
Descriptors: Teacher Effectiveness, Regression (Statistics), Academic Achievement, Time
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Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
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Uanhoro, James Ohisei; O'Connell, Ann A. – AERA Online Paper Repository, 2018
There have been increasing calls for applied researchers to see and utilize effect sizes as the primary outcomes of their research. However, this sometimes places a methodological burden on researchers whose primary interests are substantive. Motivated by a desire to help applied researchers better report effect sizes and their confidence…
Descriptors: Effect Size, Computation, Statistical Analysis, Hierarchical Linear Modeling
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Li, Wei; Konstantopoulos, Spyros – Journal of Experimental Education, 2019
Education experiments frequently assign students to treatment or control conditions within schools. Longitudinal components added in these studies (e.g., students followed over time) allow researchers to assess treatment effects in average rates of change (e.g., linear or quadratic). We provide methods for a priori power analysis in three-level…
Descriptors: Research Design, Statistical Analysis, Sample Size, Effect Size
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Biswas, Gautam; Rajendran, Ramkumar; Mohammed, Naveeduddin; Goldberg, Benjamin S.; Sottilare, Robert A.; Brawner, Keith; Hoffman, Michael – IEEE Transactions on Learning Technologies, 2020
Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making and problem-solving tasks. However, the complexity of the tasks may impede the progress of novice learners. Providing adaptive feedback to learners who face…
Descriptors: Decision Making, Difficulty Level, Hierarchical Linear Modeling, Cognitive Processes
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Moranski, Kara; Ziegler, Nicole – Language Learning, 2021
Multisite research (MSR) offers the key advantages of greater statistical power and external validity via larger and more diverse participant pools. In second language acquisition (SLA) research, recent developments in meta-analysis have created a robust foundation for MSR. Although logistical and financial obstacles can complicate expansion…
Descriptors: Validity, Language Research, Second Language Learning, Meta Analysis
Hosp, John L. – Communique, 2016
Multilevel modeling (MLM) is a term that encompasses many terms for statistical analyses that include variables at different levels. In education it is generally referred to as hierarchical linear modeling (HLM), linear mixed modeling (LMM), or growth curve modeling, but also includes terms such as: random-coefficient regression modeling,…
Descriptors: Hierarchical Linear Modeling, Educational Research, Guidelines, Research Reports
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