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E. Nielsen; M. Pelczar – Institute of Museum and Library Services, 2024
This research brief describes recent methodological initiatives with the Public Libraries Survey. It describes how starting with the 2022 data, Institute of Museum and Library Services (IMLS) updated geographic identifiers to better align Census Bureau geography types with the library's legal service area, with the goal of enabling data users to…
Descriptors: Public Libraries, Special Libraries, Museums, Library Role
Linda McKee, Editor; Sylvia Read, Editor; Debbie Rickey, Editor – Myers Education Press, 2024
"Using Data for Continuous Improvement in Educator Preparation" provides case studies that illuminate and contextualize the ways in which educator preparation programs determine the data they need to improve, collect data, analyze data, share data with stakeholders, and close the loop by making focused improvements based on the data.…
Descriptors: Data Use, Educational Improvement, Teacher Education Programs, Data Collection
Matthew J. Mayhew; Christa E. Winkler – Journal of Postsecondary Student Success, 2024
Higher education professionals often are tasked with providing evidence to stakeholders that programs, services, and practices implemented on their campuses contribute to student success. Furthermore, in the absence of a solid base of evidence related to effective practices, higher education researchers and practitioners are left questioning what…
Descriptors: Higher Education, Educational Practices, Evidence Based Practice, Program Evaluation
Kaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Badia, Giovanna – New Review of Academic Librarianship, 2020
Multiple data collection or research methods exist for evaluating library spaces. Faced with numerous choices and limited time for gathering data, it becomes challenging for information professionals to determine the best way to proceed with evaluating their libraries' physical spaces. There is a gap in the literature on best practices for…
Descriptors: Academic Libraries, Data Collection, Evaluation Methods, Best Practices
Quantifying Energy Consumption in Household Surveys: An Alternative Device-Based Accounting Approach
Wu, Shimei; Zheng, Xinye; Guo, Jin; Li, Chuan-Zhong; Wei, Chu – Field Methods, 2020
The exercise of quantifying the energy consumption data assembled through household surveys, either by the recall-based approach or the meter-based approach, remains a challenging task, especially in rural areas of developing countries. In this article, we propose a device-based bottom-up accounting method for estimating household energy…
Descriptors: Surveys, Family (Sociological Unit), Energy, Evaluation Methods
May, Henry; Blackman, Horatio; Van Horne, Sam; Tilley, Katherine; Farley-Ripple, Elizabeth N.; Shewchuk, Samantha; Agboh, Darren; Micklos, Deborah Amsden – Center for Research Use in Education, 2022
In this technical report, the Center for Research Use in Education (CRUE) presents the methodological design of a large-scale quantitative investigation of research use by school-based practitioners through the "Survey of Evidence in Education for Schools (SEE-S)." It documents the major technical aspects of the development of SEE-S,…
Descriptors: Surveys, Schools, Educational Research, Research Utilization
Rubenson, Kjell – International Review of Education, 2019
A quick review of national policy documents reveals how lifelong learning has evolved as the key principle for a comprehensive education and learning strategy from cradle to grave. This raises major challenges for how to assess and report the state of lifelong learning in UNESCO Member States. It is in this context that this article critically…
Descriptors: Lifelong Learning, Adult Education, Adult Learning, Adults
Tompkins, Chasity; Howell, Nykita; Mull, Casey – Journal of Extension, 2018
Extension faculty and staff are constantly planning, implementing, and evaluating programming efforts. Data from participants are needed for assessing changes in knowledge, attitude, and behavior through summative and formative evaluation. However, collecting these data can be time-consuming and hard to achieve. A technological tool called…
Descriptors: Extension Education, Extension Agents, Evaluation Methods, Data Collection
Ro, Hyun Kyoung; Menard, Tiffany; Kniess, Dena; Nickelsen, Ashley – New Directions for Institutional Research, 2017
This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.
Descriptors: Student Personnel Services, Academic Support Services, Program Evaluation, Evaluation Methods
Tarray, Tanveer A.; Singh, Housila P.; Yan, Zaizai – Sociological Methods & Research, 2017
This article addresses the problem of estimating the proportion Pi[subscript S] of the population belonging to a sensitive group using optional randomized response technique in stratified sampling based on Mangat model that has proportional and Neyman allocation and larger gain in efficiency. Numerically, it is found that the suggested model is…
Descriptors: Models, Efficiency, Sampling, Research Problems
Blaich, Charles; Wise, Kathleen – New Directions for Student Services, 2017
This chapter asserts that data are more likely to improve learning when assessment focuses on sensemaking conversations among students, faculty, and student affairs administrators, rather than on advanced statistical techniques.
Descriptors: Surveys, Data, Educational Improvement, Statistical Analysis
Kovalchik, Stephanie A.; Martino, Steven C.; Collins, Rebecca L.; Shadel, William G.; D'Amico, Elizabeth J.; Becker, Kirsten – Journal of Educational and Behavioral Statistics, 2018
Ecological momentary assessment (EMA) is a popular assessment method in psychology that aims to capture events, emotions, and cognitions in real time, usually repeatedly throughout the day. Because EMA typically involves more intensive monitoring than traditional assessment methods, missing data are commonly an issue and this missingness may bias…
Descriptors: Probability, Statistical Bias, Holistic Approach, Evaluation Methods
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