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Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis
David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
Mostafa, Tarek; Wiggins, Richard D. – International Journal of Social Research Methodology, 2018
This study constitutes the first longitudinal exploration of consent to link survey and administrative data. It examines variations in consent over time and explores the influence of the respondents' characteristics (both observed and latent) and the impact of the interviewers on consent co-operation. Respondent inclination to consent is modelled…
Descriptors: Informed Consent, Information Management, Records (Forms), Privacy
Jennifer L. Richards; Michael R. Kramer – Sage Research Methods Cases, 2017
Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early…
Descriptors: Grade 1, Longitudinal Studies, Prenatal Influences, Perinatal Influences
Ginder, Scott A.; Kelly-Reid, Janice E.; Mann, Farrah B. – National Center for Education Statistics, 2017
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data for…
Descriptors: Undergraduate Students, Graduation Rate, Cohort Analysis, Student Financial Aid
Gniewosz, Burkhard; Gniewosz, Gabriela – International Journal of Behavioral Development, 2018
The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…
Descriptors: Models, Data, Behavior Problems, Children
Myers, Carrie B.; Myers, Scott M. – Research & Practice in Assessment, 2017
Previous studies have found that freshmen who enter college with dual enrollment credits earned during high school have higher 6-year graduation rates. Yet, we do not know if institutional graduation rates benefit in the aggregate from their practice of accepting dual enrollment credits among incoming freshman cohorts. In this study, we used…
Descriptors: Undergraduate Students, College Graduates, Graduation Rate, Dual Enrollment
Oregon Department of Education, 2017
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Graduation Rate, High School Students, Cohort Analysis, Longitudinal Studies
Oregon Department of Education, 2018
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Cohort Analysis, Graduation Rate, High School Students, High Schools
Meiri, Gal; Dinstein, Ilan; Michaelowski, Analya; Flusser, Hagit; Ilan, Michal; Faroy, Michal; Bar-Sinai, Asif; Manelis, Liora; Stolowicz, Dana; Yosef, Lili Lea; Davidovitch, Nadav; Golan, Hava; Arbelle, Shosh; Menashe, Idan – Journal of Autism and Developmental Disorders, 2017
Elucidating the heterogeneous etiologies of autism will require investment in comprehensive longitudinal data acquisition from large community based cohorts. With this in mind, we have established a hospital-university-based (HUB) database of autism which incorporates prospective and retrospective data from a large and ethnically diverse…
Descriptors: Autism, Databases, Etiology, Hospitals
Pallavi Amitava Banerjee – Sage Research Methods Cases, 2017
This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…
Descriptors: Evidence Based Practice, Educational Policy, Data, Educational Practices
Oregon Department of Education, 2019
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Cohort Analysis, Graduation Rate, High School Students, High Schools
Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
Smith, Nichole D.; Duprey, Michael A. – National Center for Education Statistics, 2017
The 2015 Federal Student Aid Supplement (FSA Supplement), directed by the National Center for Education Statistics (NCES) at the U.S. Department of Education (ED), is a collection of federal student loan data intended to augment the 1996/01 Beginning Postsecondary Students Longitudinal Study (BPS:96/01) and the 2004/09 Beginning Postsecondary…
Descriptors: College Freshmen, Student Financial Aid, Federal Aid, Student Loan Programs
Musavi, Mohamad; Friess, Wilhelm A.; James, Cary; Isherwood, Jennifer C. – International Journal of STEM Education, 2018
Background: The University of Maine Stormwater Management and Research Team (SMART) program began in 2014 with the goal of creating a diverse science-technology-engineering-math (STEM) pathway with community water research. The program engages female and underrepresented minority high school students in locally relevant STEM research. It focuses…
Descriptors: STEM Education, Water, High School Students, Females

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