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Download full textYenipinar, Senyurt; Yildirim, Kamil; Tabak, Hasan – i.e.: inquiry in education, 2020
Aiming to describe the leadership potential (LP) of school principals, this study was carried out using the triangulation design of the mixed method. The study was carried out among 15 school administrators who were recruited using the purposive sampling method. Data were collected using an analytic graded measurement tool through a case-based,…
Descriptors: Data Analysis, School Administration, Instructional Leadership, Principals
Direct linkSpronken-Smith, Rachel; Cameron, Claire; Quigg, Robin – Assessment & Evaluation in Higher Education, 2018
This exploratory study determined PhD completions at a research-intensive university in New Zealand and considered factors affecting PhD completions. Completion data were calculated for PhD cohorts at the University of Otago from 2000 to 2012 (n = 2770) and survival models determined whether gender, enrolment status, age at admission, citizenship,…
Descriptors: Foreign Countries, Case Studies, Performance Factors, Research Universities
Anu Vedantham – Sage Research Methods Cases, 2016
This case study describes the creation process for a mixed methods study from 2009 to 2011, examining for the first time gender differences in how undergraduate students create videos for online platforms such as Facebook and YouTube. I conducted this research for my doctoral dissertation at the University of Pennsylvania's Graduate School of…
Descriptors: Mixed Methods Research, Data Collection, Video Technology, Creativity
Stanley A. Taylor; Amy E. Mickel – Journal of Statistics Education, 2014
In this article, we present a data set and case study exercise that can be used by educators to teach a range of statistical concepts including Simpson's paradox. The data set and case study are based on a real-life scenario where there was a claim of discrimination based on ethnicity. The exercise highlights the importance of performing rigorous…
Descriptors: Statistics, Case Studies, Concept Formation, Mathematical Concepts
Eshetu, Amogne Asfaw – Educational Research and Reviews, 2015
Gender is among the determinant factors affecting students' academic achievement. This paper tried to investigate the impact of gender on academic performance of preparatory secondary school students based on 2014 EHEECE result. Ex post facto research design was used. To that end, data were collected from 3243 students from eight purposively…
Descriptors: Academic Achievement, Gender Differences, Case Studies, Secondary School Students
Mohd-Asraf, Ratnawati; Abdullah, Hazlina; Mat Zamin, Ainul Azmin – International Electronic Journal of Elementary Education, 2016
The performance of boys in literacy has become an issue of increasing concern around the globe. This paper discusses the results of a study that sought to determine the literacy performance of Malaysian primary schoolers. Using one of the states in the country as a case study, data on approximately 85,000 students from grades 1, 2, and 3 were…
Descriptors: Foreign Countries, Literacy, Gender Differences, Elementary School Students
Kamal, Bakor – ProQuest LLC, 2013
The purpose of this study was to investigate concerns regarding the adoption of online teaching as expressed by faculty and instructors in six departments in the College of Arts and Humanities at King Abdulaziz University. Additionally, it investigated faculty professional development needs in adopting online teaching. The data in this study were…
Descriptors: Foreign Countries, Professional Development, College Faculty, Web Based Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
