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Aguilar, Marisela; Cooper, Abbie R.; St. Peter, Claire C. – Education and Treatment of Children, 2023
Monitoring the fidelity with which implementers implement behavioral procedures is important, but individuals tasked with monitoring fidelity may have received little training. As a result, their data may be affected by variations in implementers' performance, such as the frequency of fidelity errors. To determine the extent to which the frequency…
Descriptors: Fidelity, Data Collection, Accuracy, Behavior
Kali Defever; Becky Reimer; Michael Trierweiler; Elise Comperchio – Field Methods, 2024
Estimating prescription medicine use is challenging due to recall bias associated with surveys and coverage bias in administrative data. This study assesses how making operational improvements and combining both survey and administrative data sources can increase data quality on filled prescriptions. We use data from the Medicare Current…
Descriptors: Drug Therapy, Health Insurance, Databases, Medicine
Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
Dubrow, Joshua K. – International Journal of Social Research Methodology, 2022
The COVID 19 pandemic illuminates the role data has in public policy-making, i.e. datafication of society, and the importance of exploring the local sources of data to reveal errors in what has assuredly been from the beginning an undercount of cases and deaths. I note four interrelated error sources. The first two are common to any quantitative…
Descriptors: Data Use, COVID-19, Pandemics, Data Collection
Mojgan Rashtchi; SeyyedeFateme Ghazi Mir Saeed – Sage Research Methods Cases, 2023
The reason for conducting the present case study was the problems the researchers encountered during data collection for another research project (Primary Study) entitled "The effects of virtual versus traditional flipped classes on EFL learners' grammar knowledge, self-regulation, and autonomy." Two online questionnaires were…
Descriptors: Data Collection, Questionnaires, Barriers, Research Methodology
Aruguete, Mara S.; Huynh, Ho; Browne, Blaine L.; Jurs, Bethany; Flint, Emilia; McCutcheon, Lynn E. – International Journal of Social Research Methodology, 2019
This study compared the quality of survey data collected from Mechanical Turk (MTurk) workers and college students. Three groups of participants completed the same survey. "MTurk" respondents completed the survey as paid workers using the Mechanical Turk crowdsourcing platform. "Student Online" respondents also completed the…
Descriptors: Data Collection, Research Methodology, Sampling, College Students
Çibik, Naz Fulya; Boz-Yaman, Burçak – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers…
Descriptors: Mathematical Models, Ecology, Climate, Problem Solving
Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
Sarikas, Gamze; Demir, Safiye Bilican – International Journal of Assessment Tools in Education, 2020
The purpose of this study is to examine the written response instruments used in postgraduate theses completed in the field of special education in Turkey between 2015 and 2018 and explore the psychometric profiles of these instruments. In the study, a total of 137 master's theses and 37 dissertations were reviewed using the Data Collection…
Descriptors: Foreign Countries, Psychometrics, Doctoral Students, Doctoral Dissertations
Wainscott, Heidi – Physics Teacher, 2016
When grading students' quizzes and exams, I find that students are seemingly always changing their answers from the right answer to the wrong answer. In fact, I have cautioned students against changing their answer. Colleagues have made similar observations and some books on test-taking strategies advise against answer-changing. In an effort to…
Descriptors: Physics, Science Tests, Student Evaluation, Grading
Hubbard, Aleata – Grantee Submission, 2017
The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…
Descriptors: Educational Research, Mathematics Education, Algebra, Intervention
Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
Yuksel, Dogan; Inan-Karagul, Banu; Fidan, Dilek – Educational Research and Reviews, 2017
This current study examined the effects of the type of errors learners make (that is, phonological, lexical and grammar), proficiency level of the learners (that is, A1, A2, B1, B2 and C1) and nature of the recasts (that is, long and short) on the uptake of the learners. The data of this study came from the video-recordings of A1, A2, B1, B2 and…
Descriptors: Foreign Countries, College Students, Foreign Students, Second Language Learning
Jupri, Al; Drijvers, Paul – EURASIA Journal of Mathematics, Science & Technology Education, 2016
To investigate student difficulties in solving word problems in algebra, we carried out a teaching experiment involving 51 Indonesian students (12/13 year-old) who used a digital mathematics environment. The findings were backed up by an interview study, in which eighteen students (13/14 year-old) were involved. The perspective of mathematization,…
Descriptors: Foreign Countries, Grade 7, Algebra, Word Problems (Mathematics)