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Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
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Schrauf, Robert W. – Journal of Mixed Methods Research, 2018
Mixed methods, cross-cultural designs are a special case of the more general, mixed methods between-groups designs. The defining feature of mixed methods is the principled integration of qualitative and quantitative approaches, and cross-cultural comparison is premised on the systematic collection and analysis of data from two or more cultural…
Descriptors: Cross Cultural Studies, Mixed Methods Research, Comparative Analysis, Data Collection
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Wu, Wei; Jia, Fan; Kinai, Richard; Little, Todd D. – International Journal of Behavioral Development, 2017
Spline growth modelling is a popular tool to model change processes with distinct phases and change points in longitudinal studies. Focusing on linear spline growth models with two phases and a fixed change point (the transition point from one phase to the other), we detail how to find optimal data collection designs that maximize the efficiency…
Descriptors: Longitudinal Studies, Data Collection, Models, Change
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
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Knipe, Sally – Educational Practice and Theory, 2019
The collection of data by government authorities has a complex history. In Australia, this began with the establishment of British government settlements as a way to account for fiscal viability and social prospects. As the colonies became self-governing entities, the collection of social and economic data increased in importance, and included…
Descriptors: Data Collection, Data Analysis, Foreign Countries, Foreign Policy
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Chambers, Silvana; Nimon, Kim; Anthony-McMann, Paula – International Journal of Adult Vocational Education and Technology, 2016
This paper presents best practices for conducting survey research using Amazon Mechanical Turk (MTurk). Readers will learn the benefits, limitations, and trade-offs of using MTurk as compared to other recruitment services, including SurveyMonkey and Qualtrics. A synthesis of survey design guidelines along with a sample survey are presented to help…
Descriptors: Surveys, Research, Best Practices, Research Problems
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Chatti, Mohamed Amine; Muslim, Arham – International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…
Descriptors: Guidelines, Data Analysis, Learning Experience, Metacognition
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Borden, Victor M. H.; Calderon, Angel; Fourie, Neels; Lepori, Benedetto; Bonaccorsi, Andrea – New Directions for Institutional Research, 2013
Efforts to develop common higher education data standards are expanding both within and across countries. The institutional research (IR) community plays a critical role in assuring that these efforts capture the diverse manifestations of the postsecondary and tertiary education systems and promote responsible comparisons. This chapter provides…
Descriptors: Higher Education, Institutional Research, Data Collection, School Statistics
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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Pearson, Marion L.; Albon, Simon P.; Hubball, Harry – Canadian Journal for the Scholarship of Teaching and Learning, 2015
Individuals and teams engaging in the scholarship of teaching and learning (SoTL) in multidisciplinary higher education settings must make decisions regarding choice of research methodology and methods. These decisions are guided by the research context and the goals of the inquiry. With reference to our own recent experiences investigating…
Descriptors: Case Studies, Scholarship, Instruction, Learning
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Szolosi, Andrew – Schole: A Journal of Leisure Studies and Recreation Education, 2014
Recreation administrators have had to evolve their approach to managing areas and facilities as both financial and environmental resources have become more limited. One way that administrators have attempted to meet such challenges is through strategies that are more environmentally sustainable. The following article addresses the importance of…
Descriptors: Recreational Facilities, Conservation (Environment), Energy Conservation, Lighting
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Guskey, Thomas R. – Journal of Staff Development, 2012
Gathering evidence on the outcomes of any professional learning experience can be a challenging and complicated task. It involves consideration of a wide variety of perceptual and contextual issues, some obvious to education leaders and others not. Those who want to succeed in this process may find the following points helpful: (1) Always begin…
Descriptors: Professional Development, Outcomes of Education, Program Evaluation, Evidence
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Ashbrook, Peggy – Science and Children, 2011
There are many ways to share a collection of data and students' thinking about that data. Explaining the results of science inquiry is important--working scientists and amateurs both contribute information to the body of scientific knowledge. Students can collect data about an activity that is already happening in a classroom (e.g., the qualities…
Descriptors: Play, Science Education, Inquiry, Data Collection
Southern Regional Education Board (SREB), 2014
This report details Kentucky's participation in Southern Regional Education Board (SREB) programs and services from December 2013 through November 2014. Appropriations from member states support SREB's core operations and general services. SREB leverages the long-standing commitment of member states to attract external funding for an array of…
Descriptors: Geographic Location, Regional Programs, College Readiness, Career Readiness
Southern Regional Education Board (SREB), 2014
This report provides an overview of Southern Regional Education Board (SREB) programs and services and how each member state participated in them from December 2013 through November 2014. SREB serves a wide range of education policy leaders, including governors, state legislators, executive and legislative staff, and K-12 and postsecondary agency…
Descriptors: Geographic Location, Regional Programs, College Readiness, Career Readiness
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