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Black, Trevor S.; Jamieson-Proctor, Romina – Australian Journal of Teacher Education, 2018
The first year experience of students studying at higher education institutions has been intensively studied over the past forty years (Nelson & Clarke, 2014). Much has been learnt, but institutions are continuing to face unacceptable levels of student withdrawal. Concerns have been raised that the constructs on which previous studies have…
Descriptors: Research Methodology, Educational Research, College Freshmen, Withdrawal (Education)
Ke, Zijun; Zhang, Zhiyong – Grantee Submission, 2018
Autocorrelation and partial autocorrelation, which provide a mathematical tool to understand repeating patterns in time series data, are often used to facilitate the identification of model orders of time series models (e.g., moving average and autoregressive models). Asymptotic methods for testing autocorrelation and partial autocorrelation such…
Descriptors: Correlation, Mathematical Formulas, Sampling, Monte Carlo Methods
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Chereni, S.; Sliuzas, R. V.; Flacke, J. – International Journal of Social Research Methodology, 2020
Mixed methods surveys using multilingual assistants in areas without clear pre-defined sampling units are often difficult to manage and unpredictable, thereby threatening data quality. More so when such surveys are executed in unfamiliar territories where cultural and language barriers prevent direct communication between the principal researcher…
Descriptors: Multilingualism, Mixed Methods Research, Sampling, Data Analysis
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Kosar, Didem – Pegem Journal of Education and Instruction, 2020
The aim of this research is to analyze dissertations on organizational trust conducted from 2000 to 2018 in Turkey comprehensively and from a holistic point of view and reveal similarities and differences between these studies. In the study, descriptive content analysis method was used. The data source of this study was dissertations on…
Descriptors: Foreign Countries, Organizational Climate, Trust (Psychology), Educational Research
Setyani, Geovani Debby; Kristanto, Yosep Dwi – Online Submission, 2020
Drawing inference from data is an important skill for students to understand their everyday life, so that the sampling distribution as a central topic in statistical inference is necessary to be learned by the students. However, little is known about how to teach the topic for high school students, especially in Indonesian context. Therefore, the…
Descriptors: High School Students, Grade 11, Private Schools, Foreign Countries
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
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Levy, Roy – AERA Online Paper Repository, 2017
A conceptual distinction is drawn between indicators, which serve to define latent variables, and outcomes, which do not. However, commonly used frequentist and Bayesian estimation procedures do not honor this distinction. They allow the outcomes to influence the latent variables and the measurement model parameters for the indicators, rendering…
Descriptors: Bayesian Statistics, Structural Equation Models, Sampling, Goodness of Fit
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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
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Karapakdee, Jaruwan; Piriyasurawong, Pallop – International Education Studies, 2022
The objectives of this research on Cognitive Technology for Academic Counselling in the New Normal were (1) to design an architecture of cognitive technology for academic counselling in the new normal, (2) to develop a system of cognitive technology for academic counselling in the new normal, (3) to assess the academic performance of students…
Descriptors: Academic Advising, Counseling Techniques, Worksheets, Design
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Contandriopoulos, Damien; Sapeha, Halina; Larouche, Catherine – International Journal of Social Research Methodology, 2019
This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how…
Descriptors: Social Networks, Network Analysis, Data Collection, Research Problems
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Aksakal, Mustafa; Bilecen, Basak; Schmidt, Kerstin – Globalisation, Societies and Education, 2019
Although over the past decades the numbers of studies investigating international student mobility and migration (ISM) increased, methodological challenges in empirical research on the topic have remained mainly unaddressed. This is particularly the case for sampling, which is a crucial but often less considered part of qualitative research…
Descriptors: Student Mobility, Study Abroad, Foreign Countries, Foreign Students
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
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Maden, Asli – Educational Policy Analysis and Strategic Research, 2020
The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…
Descriptors: Foreign Countries, Electronic Publishing, Books, Electronic Learning
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Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2020
Educational stakeholders have long known that students might not be fully engaged when taking an achievement test and that such disengagement could undermine the inferences drawn from observed scores. Thanks to the growing prevalence of computer-based tests and the new forms of metadata they produce, researchers have developed and validated…
Descriptors: Metadata, Computer Assisted Testing, Achievement Tests, Reaction Time
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Sahin, Harun; Caner, H. Nuran; Akmaz-Genç, Imren – International Journal of Curriculum and Instruction, 2020
The present study aims to examine the graduate studies related to in-service training programs for teachers conducted between the years 2000 and 2018 in Turkey. In this context, the content analysis of 88 graduate studies, including 71 master thesis and 17 dissertations, was conducted for the in-service teacher training accessible to the Council…
Descriptors: Foreign Countries, Inservice Teacher Education, Graduate Study, Masters Theses
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