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Kathleen Clarke; Adam R. Lalor – Association for Institutional Research, 2024
Traditional institutional research systems may limit who is counted and how they are counted because of limitations associated with disability classification, self-disclosure of disability status, and accessibility limitations inherent within some data-collection methods. As postsecondary institutions work toward improving access for disabled…
Descriptors: Inclusion, Students with Disabilities, Institutional Research, Ethics
Katrina Boone; Ebony Lambert – National Comprehensive Center, 2020
CCNetwork, in many cases, begins their work by assessing client needs--speaking with clients, examining current evidence and data, reviewing documents, and identifying patterns across those. Needs-sensing methods are important inputs to helping shape and prioritize what CCNetwork does. Landscape scans take these efforts a bit further by helping to…
Descriptors: Networks, Needs Assessment, Planning, Data Collection
Charlotte Cabili; Natalie Reid; Carla Chavez; Aden Bhagwat; Davis Straske; Will Ratner; Victoria Sims; Xinwei Li; Tutrang Nguyen; Xiaofan Sun; Jeani Choe; Jeff Harrington; Addison Larson; Judy Cannon – Office of Planning, Research and Evaluation, 2024
This report includes information on the 2021-2022 Study of Family and Staff Experiences in American Indian and Alaska Native Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study). The 2021-2022 Study collected data from children's parents, teachers, center directors, and program directors in Region XI Head Start programs in…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
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Link, Michael – Quality Assurance in Education: An International Perspective, 2018
Purpose: Researchers now have more ways than ever before to capture information about groups of interest. In many areas, these are augmenting traditional survey approaches -- in others, new methods are potential replacements. This paper aims to explore three key trends: use of nonprobability samples, mobile data collection and administrative and…
Descriptors: Sampling, Data Collection, Trend Analysis, Data
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Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
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Chan, Hsun-Yu; Wang, Xueli – New Directions for Institutional Research, 2019
In this chapter, we review the strengths of NCES survey data, provide an example of analyzing NCES survey data to explore the pathways between coursework in career and technical education in high school and postsecondary success, and offer suggestions for future data collection.
Descriptors: Surveys, Data Analysis, Vocational Education, High School Students
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Lussenhop, Alexander – Journal of Museum Education, 2018
Many museums collect data about their staff, volunteers, and/or visitors in some capacity, and questions about sex and gender are ubiquitous on their forms and surveys. However, museums can do more to consider the inclusivity of their sex and gender questions by going beyond the male/female binary. Museums should consider the needs of transgender…
Descriptors: Museums, Surveys, Gender Issues, Sexual Orientation
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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
Tutrang Nguyen; Davis Straske; Natalie Reid; Elizabeth Doran; Charlotte Cabili; Carla Chavez; Aden Bhagwat; Jeffrey Harrington; Addison Larson; Judy Cannon; Victoria Sims; Barbara Carlson; Ashley Kopack Klein; Sara Bernstein – Office of Planning, Research and Evaluation, 2024
The 2021-2022 Study builds on the Head Start Family and Child Experiences Survey (FACES). This report includes information on the 2021-2022 Study design and presents key findings from the study's spring 2022 data collection on Head Start children and families. The tables in this report describe children and families in spring 2022 as COVID-19…
Descriptors: Surveys, Family (Sociological Unit), Experience, Early Intervention
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Cornman, Stephen Q.; O'Reilly, Nora; Ampadu, Osei; Caskey, Melinda; Vidal, Phil – National Center for Education Statistics, 2022
In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…
Descriptors: Retirement Benefits, Teacher Retirement, Elementary School Teachers, Secondary School Teachers
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Friedman, Alon – Technology, Pedagogy and Education, 2018
Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…
Descriptors: Data Collection, Data Analysis, Course Descriptions, Higher Education
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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
Farley-Ripple, Elizabeth; Van Horne, Sam; Tilley, Kati; Shewchuk, Samantha; May, Henry; Micklos, Deborah Amsden; Blackman, Horatio – Center for Research Use in Education, 2022
In the United States, increased pressure through accountability policy and through the production and dissemination of scientifically based research are intended to create conditions for improving research use. Concurrently, researchers, education agencies, and funders have mounted efforts to strengthen relationships between research and…
Descriptors: Educational Research, Research Utilization, Educational Practices, Evidence
Ayeshah Syed; David Yoong; Nor Mohd Nazari – Sage Research Methods Cases, 2022
In some studies, participants are assigned ethnographic or communicative tasks, such as field-work observation, life-story interviews, and photography. These studies usually involve in-person interaction, both for the participants doing the task and for the researchers in engaging with participants throughout the research process. Our study was…
Descriptors: Mixed Methods Research, Dentistry, Graduate Students, Empathy
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Kelley, Allyson; McCoy, Thomas; Fisher, Aryn; Witzel, Morgan; Fatupaito, Bethany; Restad, Desiree – Practical Assessment, Research & Evaluation, 2020
The goal of this paper is to discuss practical recommendations for collecting data with hard to reach populations and data comparability. We also discuss the importance of piloting and community involvement in the process using an example from the Tribal Prevention Initiative (TiPI), a culturally-based substance abuse prevention program for…
Descriptors: Surveys, Data Collection, Pilot Projects, Community Involvement
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