NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Blaich, Charles F.; Wise, Kathleen S. – New Directions for Institutional Research, 2010
Most assessment arguments are about measurement. When is it better to use direct versus indirect measures of student learning? Is one standardized test of critical thinking better than another? Is applying rubrics to student work better than using standardized tests? How valid are self-reported measures of learning? Although these arguments are…
Descriptors: Standardized Tests, Academic Achievement, Program Effectiveness, Liberal Arts
Peer reviewed Peer reviewed
Direct linkDirect link
Harper, Shaun R.; Kuh, George D. – New Directions for Institutional Research, 2007
The value of qualitative assessment approaches has been underestimated primarily because they are often juxtaposed against long-standing quantitative traditions and the widely accepted premise that the best research produces generalizable and statistically significant findings. Institutional researchers avoid qualitative methods for at least three…
Descriptors: Research Methodology, Qualitative Research, Institutional Research, Methods
Peer reviewed Peer reviewed
Bird, Lloyd, Jr. – New Directions for Institutional Research, 1994
A discussion of methods for measuring college faculty workload first reviews course load analysis, the traditional method used to define, measure, and report faculty workload, then suggests some data alternatives and related issues faced by institutional research offices. Suggestions are offered for locating existing workload data, compiling a…
Descriptors: College Faculty, Data Collection, Evaluation Methods, Faculty Workload
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Museus, Samuel D. – New Directions for Institutional Research, 2007
This article focuses on describing how institutional researchers can use qualitative cultural assessments to better understand the role that their campus cultures play in shaping individual and group behaviors and experiences. A special emphasis is given to the implications of institutional diversity in the processes of designing and conducting…
Descriptors: Institutional Research, Diversity (Institutional), Group Dynamics, Minority Groups
Peer reviewed Peer reviewed
Marshall, Catherine; And Others – New Directions for Institutional Research, 1991
Efforts to assess quality of academic life at Vanderbilt University (Tennessee) resulted in a plan to merge qualitative and quantitative measures and uncovered political, logistical, and fiscal issues in collection and use of the two kinds of data. Although qualitative databases are costly, they are also very useful in different ways. (Author/MSE)
Descriptors: College Environment, Cost Effectiveness, Data Collection, Databases
Peer reviewed Peer reviewed
Direct linkDirect link
Granados, Manuel – New Directions for Institutional Research, 2003
Traditionally, educational institutions have relied heavily on the use of tables and graphs to analyze and present enrollment data. However, in dealing with information that has a spatial component (such as enrollment data), graphs and tables are often insufficient for communicating the spatial dimension. An effective way to add this extra…
Descriptors: Student Records, Family Income, Enrollment Trends, Enrollment Rate
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models