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Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
McInroy, Lauren B.; Beer, Oliver W. J. – International Journal of Social Research Methodology, 2022
Consisting of brief and evocative scenarios, vignettes effectively elicit stimulus responses, examine individual cognitions, and explore novel or sensitive topics. While information and communication technologies have expanded research methods, methodological and ethical considerations for design and implementation of digital vignettes necessitate…
Descriptors: Vignettes, Internet, Online Surveys, Data Collection
Thakur, Khusbu; Kumar, Vinit – New Review of Academic Librarianship, 2022
A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…
Descriptors: Information Retrieval, Data Analysis, Research Methodology, Trend Analysis
Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
Opportunities for K-8 Students to Learn Statistics Created by States' Standards in the United States
Weiland, Travis; Sundrani, Anita – Journal of Statistics and Data Science Education, 2022
Statistical literacy is key in this heavily polarized information age for an informed and critical citizenry to make sense of arguments in the media and society. The responsibility of developing statistical literacy is often left to the K-12 mathematics curriculum. In this article, we discuss our investigation of K-8 students' current…
Descriptors: Elementary School Students, Middle School Students, Statistics Education, Educational Opportunities
Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
Joyce Dean – ProQuest LLC, 2022
School principals are responsible for improving low College and Career Ready Performance Index (CCRPI) scores; however, little was understood about how K-12 school principals' leadership practices were perceived to improve CCRPI scores in schools. The purpose of this basic qualitative study was to examine the leadership practices of K-12 school…
Descriptors: Principals, Administrator Responsibility, College Readiness, Career Readiness
Michael Joseph King – ProQuest LLC, 2022
This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1.What are the scientometric features of the data science field? 2.What are the contributing fields to the establishment of data science? 3.What are the major research areas of…
Descriptors: Data Science, Bibliometrics, Qualitative Research, Statistical Analysis
Meghan Gara Alai – ProQuest LLC, 2022
The purpose of this qualitative multiple case study was to understand how leaders at two community colleges that participated in Guided Pathways used early momentum metrics (EMMs) to change institutional policies or practices to improve student success and degree completion rates. By focusing on EMMs as short-term indicators, leaders could track…
Descriptors: Community Colleges, Leaders, Guided Pathways, Graduation Rate
Williams, Michelle J. – ProQuest LLC, 2022
Understanding professional development is a key component in ensuring school improvement. This study examines the professional development experiences of 16 school leaders and staff members in the Northeast Region of the United States. This qualitative grounded theory study investigates the type of professional development experiences that result…
Descriptors: Faculty Development, Educational Improvement, Teaching Methods, Educational Practices
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Quinn Adam Duclos – ProQuest LLC, 2022
Nearly three-quarters of US adults use at least one social media site (Pew Research, 2019 & 2021). The consistency of US adults reporting social media use indicates a dependable population base to engage in health education. Based on this data, social media has become a community for health educators to perform essentials of their professional…
Descriptors: Social Media, Health Education, Specialists, Competence
Christina Hunter – ProQuest LLC, 2022
Data-driven instruction centers around measuring student learning and determining the actions needed to improve student learning (Bambrick-Santoyo, 2019). This qualitative case study explored teachers' experiences at a single research site surrounding data-driven instruction. Classroom instruction responsive to student performance data is a focus…
Descriptors: Data Use, Teaching Methods, Academic Achievement, Teacher Behavior
Wilhelmina van Dijk; Cynthia U. Norris; Sara A. Hart – Grantee Submission, 2022
Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization…
Descriptors: Twins, Research Design, Randomized Controlled Trials, Quasiexperimental Design
Gelman, Andrew – Grantee Submission, 2022
I discuss a published paper in political science that made a claim that aroused skepticism. The reanalysis is an example of how we, as consumers as well as producers of science, can engage with published work. This can be viewed as a sort of collaboration performed implicitly between the authors of a published paper and later researchers who want…
Descriptors: Criticism, Political Science, Social Science Research, Authors

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