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Hitchcock, John H.; Onwuegbuzie, Anthony J. – Journal of Mixed Methods Research, 2020
Onwuegbuzie and Hitchcock (2015) provided an initial framework for conceptualizing and conducting advanced-level mixed analysis approaches. In the present article, we build on these efforts by altering the framework to focus on crossover analyses, which might help analysts see the various component steps that can go into crossover analyses and…
Descriptors: Mixed Methods Research, Models, Ethnography, Data Analysis
Cronenberg, Stephanie – Journal of Mixed Methods Research, 2020
Conceptual stances provide guidance to the mixed methods researcher as he or she makes decisions throughout the research process, including determining the dimensions of integration or levels at which mixing occurs. Only the dialectic conceptual stance specifically encourages mixing at the abstract paradigmatic level. This article outlines four…
Descriptors: Mixed Methods Research, Models, Philosophy, Data Analysis
Achter, Sebastian; Borit, Melania; Chattoe-Brown, Edmund; Siebers, Peer-Olaf – International Journal of Social Research Methodology, 2022
This article describes and justifies a reporting standard to improve data use documentation in Agent-Based Modelling. Following the development of reporting standards for models themselves, empirical modelling has now developed to the point where these standards need to take equally effective account of data use (which previously has tended to be…
Descriptors: Data Use, Data Analysis, Models, Usability
Haynes-Brown, Tashane K. – Journal of Mixed Methods Research, 2023
The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…
Descriptors: Theories, Models, Mixed Methods Research, Teacher Attitudes
McChesney, Katrina; Aldridge, Jill – International Journal of Research & Method in Education, 2019
A recurring debate in mixed methods research involves the relationship between research methods and research paradigms. Whereas some scholars appear to assume that qualitative and quantitative research methods each necessarily belong with particular research paradigms, others have called for greater flexibility and have taken a variety of stances…
Descriptors: Mixed Methods Research, Models, Research Design, Data Collection
Mavroudi, Anna; Giannakos, Michail; Krogstie, John – Interactive Learning Environments, 2018
Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…
Descriptors: Student Centered Learning, Evidence Based Practice, Technology Uses in Education, Student Diversity
Cathcart, Stephen Michael – ProQuest LLC, 2016
This mixed method study examines HRD professionals' decision-making processes when making an organizational purchase of training. The study uses a case approach with a degrees of freedom analysis. The data to analyze will examine how HRD professionals in manufacturing select outside vendors human resource development programs for training,…
Descriptors: Human Resources, Labor Force Development, Professional Personnel, Decision Making
van Geel, Marieke; Keuning, Trynke; Visscher, Adrie J.; Fox, Jean-Paul – American Educational Research Journal, 2016
Despite growing international interest in the use of data to improve education, few studies examining the effects on student achievement are yet available. In the present study, the effects of a two-year data-based decision-making intervention on student achievement growth were investigated. Fifty-three primary schools participated in the project,…
Descriptors: Academic Achievement, Decision Making, Socioeconomic Status, Institutional Characteristics
West, Deborah; Heath, David; Huijser, Henk – Online Learning, 2016
This paper presents a dialogical tool for the advancement of learning analytics implementation for student retention in Higher Education institutions. The framework was developed as an outcome of a project commissioned and funded by the Australian Government's "Office for Learning and Teaching". The project took a mixed-method approach…
Descriptors: School Holding Power, Models, Higher Education, Mixed Methods Research
Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
Syakir, Muhammad; Mahmud, Alimuddin; Achmad, Arifin – International Journal of Environmental and Science Education, 2016
One of the impacts of information technology in guidance counseling is in the implementation of the support system. Entering the world of globalization and rapid technological breadth of information requires counseling to adjust to the environment in order to meet the needs of learners. Therefore, cyber-counseling is now developing. It is one of…
Descriptors: Models, Information Technology, Career Guidance, Career Counseling
Miller, Nathan Brad; Bell, Bryan – Journal of Continuing Higher Education, 2016
Increased federal attention to student completion metrics and uncertain financial forecasts have heightened the tenor of student retention conversations. Improved institutional retention rates will lead to higher completion rates and relieve some funding concerns. To accomplish these improvements, institutions have invested in analytics to better…
Descriptors: Academic Persistence, School Holding Power, Acceleration (Education), Communication Strategies
Merrill, Lisa; Siman, Nina; Wulach, Suzanne; Kang, David – Research Alliance for New York City Schools, 2015
iMentor's College Ready Program is a unique approach that combines elements of school-based mentoring, whole school reform, and technology in an effort to help students develop the full suite of knowledge, behaviors, and skills they need to complete high school and enroll and thrive in college. iMentor partners with high schools that serve…
Descriptors: Mentors, Educational Change, Technology Uses in Education, College Readiness
Conner, Laura D. Carsten; Danielson, Jennifer – International Journal of Science Education, 2016
Gender-matched role models are often proposed as a mechanism to increase identification with science among girls, with the ultimate aim of broadening participation in science. While there is a great deal of evidence suggesting that role models can be effective, there is mixed support in the literature for the importance of gender matching. We used…
Descriptors: Science Education, Scientists, Role Models, Females
Budgen, Fiona; Main, Susan J.; Callcot, Deborah; Hamlet, Brenda – Australian Journal of Teacher Education, 2014
The first year of university has been identified as an area of interest and concern for several decades because, for many students, their first year at university is also their last. The researchers developed a program based on a Sports Education model to influence the engagement and retention of first year students. The program sought to build…
Descriptors: College Freshmen, Social Capital, Academic Persistence, School Holding Power
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