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Showing 1 to 15 of 28 results Save | Export
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
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Chow, Timothy K. C. – New Directions for Institutional Research, 2012
Guided by the missions and visions, higher education institutions utilize benchmarking processes to identify better and more efficient ways to carry out their operations. Aside from the initial planning and organization steps involved in benchmarking, a matching or selection step is crucial for identifying other institutions that have good…
Descriptors: Higher Education, Benchmarking, Best Practices, Reputation
Liu, Qin – Association for Institutional Research, 2012
This discussion constructs a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research and then introduces the…
Descriptors: Institutional Research, Higher Education, Quality Control, Researchers
Liu, Qin – Online Submission, 2009
This paper intends to construct a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research. Then it is followed by…
Descriptors: Higher Education, Institutional Research, Quality Control, Researchers
Hobbs, Walter C. – New Directions for Institutional Advancement, 1979
In designing an institutional advancement survey, it is thought that the researcher must have a clear conception of the survey's purpose. The relationship of research to theory, the nature of the survey, data collection, and analysis and interpretation are discussed. (Author/MLW)
Descriptors: Data Analysis, Data Collection, Higher Education, Institutional Research
Morest, Vanessa Smith; Jenkins, Davis – Community College Research Center, Columbia University, 2007
This report presents findings from a study conducted by the Community College Research Center (CCRC) on how well prepared today's community colleges are in moving toward the greater use of data and research to improve student success. Data for the study were drawn from two major sources: first, an e-mail survey of college administrators…
Descriptors: Institutional Research, Community Colleges, Research Methodology, Surveys
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Hesseldenz, Jon S.; Smith, Barbara G. – Research in Higher Education, 1977
Possible respondents in a 1974 survey of University of Kentucky doctoral graduates were sent either computer-prepared or offset-printed questionnaires, personalized and identical in content. Overall response rates were similar except when the responses were categorized by the academic major of each recipient. (Editor/LBH)
Descriptors: Classification, Computers, Data Collection, Graduate Surveys
Suskie, Linda A. – 1992
This monograph for institutional researchers on questionnaire survey research aims to be both a guide to the basic steps of survey research and a useful reference tool. The monograph is in an informal, question and answer format and organized around the various steps of the survey research process. Chapter I discusses planning the survey including…
Descriptors: Data Collection, Higher Education, Institutional Research, Questionnaires
Lightfield, E. Timothy – Community College Frontiers, 1979
Describes the reporting system implemented by Mercer County Community College (New Jersey) to account for the costs of responding to external requests for information. Outlines the procedures for assigning priority to data requests, filling the requests, and reporting costs. Provides samples of forms. (JP)
Descriptors: Accountability, Community Colleges, Cost Effectiveness, Costs
Doyle, Kenneth O., Jr. – New Directions for Institutional Advancement, 1979
The vocabulary of sampling is examined in order to provide a clear understanding of basic sampling concepts. The basic vocabulary of sampling (population, probability sampling, precision and bias, stratification), the fundamental grammar of sampling (random sample), sample size and response rate, and cluster, multiphase, snowball, and panel…
Descriptors: Data Analysis, Data Collection, Definitions, Higher Education
Hendel, Darwin D.; Doyle, Kenneth C., Jr. – New Directions for Institutional Advancement, 1979
The analysis of questionnaire data involves a sequence of planned activities beginning with questionnaire development and concluding with a report of the results of the study. Most questionnaires require the use of numerical codes to facilitate computer processing of results and to select appropriate statistical procedures for summarizing the…
Descriptors: Computers, Data Analysis, Data Collection, Higher Education
Harty, Harold – New Directions for Institutional Advancement, 1979
The mail questionnaire is seen as a risky data- and information-gathering instrument but an effective way to tap constituent attitudes. Knowing when and how to use it is considered crucial in institutional advancement in academe. Goals and objectives, design assumptions, and types of questions and response formats are discussed. (Author/MLW)
Descriptors: Administration, Costs, Data Collection, Field Tests
Francis, J. Bruce – New Directions for Institutional Advancement, 1979
The survey holds an increasingly important place in institutional advancement. As college and university decision makers turn more and more to their constituencies for support and assistance, a competent information-gathering and processing network becomes crucial. Heuristic v algorithmic designs, Attitude Information System, and the microcomputer…
Descriptors: Computer Science, Data Analysis, Data Collection, Data Processing
Texas Coll. and Univ. System, Austin. Coordinating Board. – 1979
This packet identifies and explains the questionnaires and coding used in DeVault VIII, a subsystem of the Texas Student Information System designed to generate data for local utilization and for fulfillment of the federally-mandated Vocational Education Data System (VEDS) student and employer follow-up requirements. The report first explains the…
Descriptors: Accountability, Community Colleges, Data Collection, Dropout Research
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Christal, Melodie E.; Wittstruck, John R. – New Directions for Institutional Research, 1987
Data on which to base interinstitutional comparisons can be obtained directly from institutions or from a variety of secondary and tertiary sources such as national surveys, statistical publications, newsletters, directories, and organizations. Lists of these sources are included. (MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Data Interpretation
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