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Fritz, John; Whitmer, John – New Directions for Institutional Research, 2019
In this chapter, we explore the obligations for individuals and institutions that emerge from the newfound insights that are enabled through learning analytics. While ethical concerns are raised through learning analytics, a misplaced trend is a "do nothing" approach as a way to assure we "do no harm." We suggest that this is a…
Descriptors: Ethics, School Responsibility, Teacher Responsibility, Educational Research
Colver, Mitchell – New Directions for Institutional Research, 2019
As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…
Descriptors: Data Collection, Data Analysis, Educational Research, Higher Education
Cubarrubia, Archie; Le, Michael – New Directions for Institutional Research, 2019
In this chapter, we explore the contexts within which institutional researchers must try to ensure the ethical use of data. We also identify challenges institutional research professionals can face when navigating college culture while trying to ensure the ethical use of data. Finally, we identify potential solutions for improving institutional…
Descriptors: Institutional Research, Educational Research, Ethics, Data Use
Bowman, Nicholas A.; Herzog, Serge – New Directions for Institutional Research, 2011
Decades of research in survey methodology and psychology have yielded important insights about how to create effective and valid survey instruments. As Porter (in press) has argued convincingly, college student surveys often fall well short of these standards by placing unrealistic demands on students' memory and by assuming that students readily…
Descriptors: College Students, Student Surveys, Measurement Techniques, Test Construction
Suggs, Welch – New Directions for Institutional Research, 2009
Organizations such as the National Collegiate Athletic Association (NCAA) and the Knight Commission, as well as many members of the press, have debated for years whether intercollegiate athletics departments make money. In 2003, an NCAA study noted that 85 of the then 117 institutions in Division I-A, the highest competitive level of…
Descriptors: Expenditures, College Athletics, Sex Fairness, Income
Powers, Daniel A. – New Directions for Institutional Research, 2012
The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…
Descriptors: Institutional Research, Educational Research, Data Analysis, Research Methodology
King, Joe P.; Hernandez, Jose M.; Lott, Joe L., II – New Directions for Institutional Research, 2012
Multilevel modeling (MLM) gives researchers the ability to make inferences about organizations where nesting factors will bias results and the assumption of independence is not tenable. This article provides an overview of the variety of data sources that lend themselves to conducting institutional research (IR). It not only serves as a repository…
Descriptors: Institutional Research, Computer Software, Data Analysis, Inferences
Pike, Gary R. – New Directions for Institutional Research, 2011
In this chapter, the author examines the adequacy and appropriateness of self-report data using the lens of construct validity (Kane, 2006; Messick, 1989). Because construct validity focuses on the appropriateness of data for specific uses or interpretations, he limits his discussion to the use of self-report data in scholarly research. Other…
Descriptors: College Students, Measurement Techniques, Outcomes of Education, Data Analysis
Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
Assessment research is at its best when it packages research results and data so that they can be digested by multiple audiences. Too many assessment researchers spend all their efforts planning and executing the research project with little attention to closing the loop at the end. If assessment findings are not communicated effectively, the…
Descriptors: Research Design, Research Methodology, Audiences, Educational Research
Museus, Samuel D.; Truong, Kimberly A. – New Directions for Institutional Research, 2009
This article highlights the utility of disaggregating qualitative research and assessment data on Asian American college students. Given the complexity of and diversity within the Asian American population, scholars have begun to underscore the importance of disaggregating data in the empirical examination of Asian Americans, but most of those…
Descriptors: Asian American Students, College Students, Cultural Differences, Data Analysis
Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
Kinzie, Jillian – New Directions for Institutional Research, 2007
The author introduces her critical and feminist perspective, elaborates on her critical approach, and discusses how this influenced the development of her research questions, methodology, data analysis, interpretation, and presentation of findings.
Descriptors: Data Analysis, Feminism, Research Methodology, Females

Berkner, Lutz – New Directions for Institutional Research, 2000
Provides information regarding the National Educational Longitudinal Study database that was used for many of the studies in this volume. Provides relevant background and instructions so that others may use this resource from the National Center for Education Statistics. (Author/EV)
Descriptors: Data Interpretation, Databases, Educational Research, Information Utilization

Wilson, Kenneth M. – New Directions for Institutional Research, 1976
A consortium-based, student-oriented interinstitutional research project for educational assessment is described. The College Research Center (CRC) experience suggests that a consortium can be an effective vehicle but that there are difficulties in cultivating interest and long-term commitment. (Author/LBH)
Descriptors: Consortia, Cooperative Programs, Data Collection, Educational Assessment
Porter, Stephen R. – New Directions for Institutional Research, 2004
This chapter discusses the theoretical literature on why people choose to respond to a survey and reviews the latest empirical research on how survey administration and the characteristics of a survey affect response rates. (Contains 1 figure.)
Descriptors: Surveys, Educational Research, Response Rates (Questionnaires), Failure