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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
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Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
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Lansford, Teresa – Knowledge Quest, 2017
Data can be a powerful tool for self-evaluation, goal setting, and advocacy in the school library. Regardless of the grade level or the size of the student body, any school library has meaningful data to mine and learn from. Basic data such as circulation numbers can impact a myriad of areas relevant to student learning such as collection…
Descriptors: School Libraries, Data, Surveys, Standardized Tests
Sriram, Rishi – NASPA - Student Affairs Administrators in Higher Education, 2014
When student affairs professionals assess their work, they often employ some type of survey. The use of surveys stems from a desire to objectively measure outcomes, a demand from someone else (e.g., supervisor, accreditation committee) for data, or the feeling that numbers can provide an aura of competence. Although surveys are effective tools for…
Descriptors: Surveys, Test Construction, Student Personnel Services, Test Use
Van Duzer, Eric – Online Submission, 2012
The purpose of this paper is to introduce the process and value of Random Qualitative Validation (RQV) in the development and interpretation of survey data. RQV is a method of gathering clarifying qualitative data that improves the validity of the quantitative analysis. This paper is concerned with validity in relation to the participants'…
Descriptors: Research Methodology, Validity, Mixed Methods Research, Surveys
Hills, Christina, Ed. – APPA: Association of Higher Education Facilities Officers (NJ1), 2010
This paper features another expanded Web-based Facilities Performance Indicators Report (FPI). The purpose of APPA's Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. The 2008-09 iteration of the Web-based Facilities Performance Indicators Survey was posted and…
Descriptors: Colleges, School Maintenance, Facility Guidelines, Educational Facilities
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Swan, Gerry; Mazur, Joan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Descriptors: Knowledge Management, Preservice Teachers, Formative Evaluation, Heuristics
McGuire, Patricia – Association of Governing Boards of Universities and Colleges, 2007
In this article, the author argues that American higher education is allowing itself to be held hostage by the rankings industry, which can lead institutions to consider actions harmful to the public interest and encourage the public's infatuation with celebrity at the expense of substance. Instead of sitting quietly by during the upcoming ratings…
Descriptors: Institutions, Surveys, Mass Media Effects, Reputation
Bauch, Joel R. – 1999
Many directors of college recreational programs are feeling pressure for increased accountability in the face of shrinking financial resources and increased demand for services. One method of providing that accountability and learning about the strengths and weaknesses of services offered is by assessing the level of client satisfaction. Developed…
Descriptors: College Programs, Data Collection, Data Interpretation, Higher Education
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Dutka, Solomon; Frankel, Lester R. – American Behavioral Scientist, 1993
Describes three classes of measurement techniques: (1) interviewing methods; (2) record retrieval procedures; and (3) observation methods. Discusses primary reasons for measurement error. Concludes that, although measurement error can be defined and controlled for, there are other design factors that also must be considered. (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment
Abell, Deborah J.; Lennex, Lesia – 1999
This study provides a descriptive statistical analysis of the incidence of students who participate in the federal free/reduced lunch program and who are identified for a gifted education program at three Kentucky middle schools. There are 2,000 students enrolled in the three schools and the free/reduced lunch incidence varies from 60 percent to…
Descriptors: Ability Identification, Cultural Awareness, Cultural Differences, Data Interpretation
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Hosseini, Jamshid C.; Armacost, Robert L. – American Behavioral Scientist, 1993
Maintains that the need for gathering sensitive information frequently arises in planning and implementing organizational surveys. Describes methods of designing the instrument format and the mode of data collection. Provides a description and process summary of the Randomized Response Technique (RRT). (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment