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Peer reviewed
Direct linkHarris, Frank – School Science Review, 2020
The year 2020 saw the outbreak of the COVID-19 pandemic that not only had wide-reaching social and economic consequences but also put healthcare systems under stress. Strategies for coping with the virus depended heavily on the interpretation of data. This article uses information from a UK upper tier local authority to examine how closely the…
Descriptors: Pandemics, COVID-19, Data Interpretation, Prediction
Zheng, Henry Y.; Mayberry, Eric; Stanley, Leanne – New Directions for Institutional Research, 2020
Data analytics is increasingly important to the operations and strategic growth of higher education institutions. In September 2019, three higher education professional associations issued a rare joint statement calling for the accelerated investment and intensified efforts to develop and deploy data analytics in support of campus decision making.…
Descriptors: Data Analysis, Decision Making, State Universities, Crisis Management
Bollig, Michael; Schnegg, Michael; Schwieger, Diego A. Menestrey – Field Methods, 2020
This article introduces ethnographic upscaling, an innovative procedure to explore and test hypotheses drawn from in-depth ethnographic findings in spatially continuous cases. The approach combines the strength of localized ethnographic descriptions with questionnaire-based regional surveys to study the distribution of ethnographic findings across…
Descriptors: Ethnography, Anthropology, Research Methodology, Hypothesis Testing
Durda, Tabea; Artelt, Cordula; Lechner, Clemens M.; Rammstedt, Beatrice; Wicht, Alexandra – International Review of Education, 2020
Low literacy among adolescents and adults worldwide remains a serious problem, even in economically developed countries. The consequences of low reading proficiency levels can be harmful in many ways for both the individuals concerned and their communities in terms of health, political, social and economic outcomes. While large-scale international…
Descriptors: Reading Achievement, Reading Skills, Low Achievement, Adolescents
Download full textBonami, Beatrice; Piazentini, Luiz; Dala-Possa, André – Comunicar: Media Education Research Journal, 2020
Digital technology has provided users with new connections that have reset our understanding of social architectures. As a reaction to Artificial Intelligence (AI) and Big Data, the educational field has rearranged its structure to consider human and non-human stakeholders and their actions on digital platforms. In light of this increasingly…
Descriptors: Artificial Intelligence, Data, 21st Century Skills, Technology Uses in Education
Kaplan, Avi; Garner, Joanna K. – Journal of Experimental Education, 2020
In this commentary, we propose a framework for applying the Complex Dynamical Systems (CDS) approach in educational research. Drawing on the conceptual articles in the special issue for ontological, theoretical, and methodological principles, and on the empirical articles for examples of these principles' application, we suggest six interdependent…
Descriptors: Educational Research, Systems Approach, Theories, Goal Orientation
Winter, Sonja D.; Depaoli, Sarah – International Journal of Behavioral Development, 2020
This article illustrates the Bayesian approximate measurement invariance (MI) approach in Mplus with longitudinal data and small sample size. Approximate MI incorporates zero-mean small variance prior distributions on the differences between parameter estimates over time. Contrary to traditional invariance testing methods, where exact invariance…
Descriptors: Bayesian Statistics, Measurement, Data Analysis, Sample Size
Sun, Hanyu; Newsome, Jocelyn; McNulty, Jennifer; Levin, Kerry; Langetieg, Pat; Schafer, Brenda; Guyton, John – Field Methods, 2020
Over the past few decades, the survey industry has experienced a steady decline in response rates, which has posed numerous challenges for researchers, most notably concerns about nonresponse bias. We present results from three studies conducted in an attempt to increase response rates and reduce nonresponse bias for a U.S. national household…
Descriptors: National Surveys, Response Rates (Questionnaires), Statistical Bias, Mail Surveys
Detrich, Ronnie – School Psychology Review, 2020
Including cost-effectiveness data in the evaluation of programs is the next step in the evolution of evidence-based practice. Evidence-based practice is grounded in three complementary elements: best available evidence, professional judgment, and client values and context. To fully apply the cost-effectiveness data, school administrators will have…
Descriptors: Cost Effectiveness, Evidence Based Practice, Program Evaluation, Data Use
Mansolf, Maxwell; Vreeker, Annabel; Reise, Steven P.; Freimer, Nelson B.; Glahn, David C.; Gur, Raquel E.; Moore, Tyler M.; Pato, Carlos N.; Pato, Michele T.; Palotie, Aarno; Holm, Minna; Suvisaari, Jaana; Partonen, Timo; Kieseppä, Tuula; Paunio, Tiina; Boks, Marco; Kahn, René; Ophoff, Roel A.; Bearden, Carrie E.; Loohuis, Loes Olde; Teshiba, Terri; deGeorge, Daniella; Bilder, Robert M. – Educational and Psychological Measurement, 2020
Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this…
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity
Xiao, Jiaying; Bulut, Okan – Educational and Psychological Measurement, 2020
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…
Descriptors: Data, Computation, Ability, Maximum Likelihood Statistics
Byrd, A. Preston; Vincent, Stacy K.; Mazur, Joan; Namkoong, Kang – Journal of Agricultural Education, 2020
This examination of secondary agricultural education students' performance was used to determine if students could perform up to industry standards. In this study, the industry standard were blueprints created by engineers at the National Institute for Occupational Safety and Health. Students had to fabricate a Cost-effective Roll-Over Protective…
Descriptors: Student Evaluation, Secondary School Students, Agricultural Education, Industry
Hughes, Kahryn; Hughes, Jason; Tarrant, Anna – International Journal of Social Research Methodology, 2020
This paper addresses two interrelated questions concerning what interview data are and how researchers might use them. The first considers the value of a shift from a predominant or exclusive focus upon how data are constructed and produced at interview, and towards how such data might be apprehended through different forms of…
Descriptors: Interviews, Qualitative Research, Data Analysis, Internet
Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
Shores, Kenneth; Candelaria, Christopher – Educational Researcher, 2020
Use of education finance data is ubiquitous. Yet, because the academic calendar circumscribes two calendar years, researchers have linked the Consumer Price Index (CPI) to three different dates: fall, spring, and academic fiscal years. We demonstrate that linking the CPI to these different academic years results in identifying different trends in…
Descriptors: Educational Finance, Economic Climate, Cost Indexes, Data Analysis
