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Pastor, Dena A.; Foelber, Kelly J.; Jacovidis, Jessica N.; Fulcher, Keston H.; Sauder, Derek C.; Love, Paula D. – Association for Institutional Research, 2019
James Madison University has used dedicated Assessment Days for more than 30 years to collect longitudinal data on student learning outcomes. Our model ensures all incoming students are tested twice: once before beginning classes and again after accumulating 45-70 credit hours. Although each student completes only four instruments during a 2-hour…
Descriptors: College Outcomes Assessment, Student Evaluation, Universities, College Students
Anderson, Rebekah; Rip, Nichole – Association for Institutional Research, 2019
The main purpose of institutional research (IR) is to provide objective, systematic, and thorough data that support an institution's enrollment goals, planning, policy formation, and decision making. Traditionally, institutions gathered data on their activities, students and staff, programs, management, and operations. University staff then…
Descriptors: Institutional Research, Data Use, Decision Making, Private Colleges
Umbricht, Mark; Stange, Kevin – Association for Institutional Research, 2019
Every term, institutions of higher education must make decisions about the class size for each class they offer, which can have implications for student outcomes, satisfaction, and cost. These decisions must be made within the current higher education landscape of tightening budgets and calls for increased productivity. Beyond institution decision…
Descriptors: Class Size, Higher Education, Student Experience, College Students
Gandy, Rex; Crosby, Lynne; Luna, Andrew; Kasper, Daniel; Kendrick, Sherry – Association for Institutional Research, 2019
While Markov chains are widely used in business and industry, they are used within higher education only sporadically. Furthermore, when used to predict enrollment progression, most of these models use student level as the classification variable. This study uses grouped earned student credit hours to track the movement of students from one…
Descriptors: Markov Processes, Enrollment Projections, Higher Education, College Credits
Fulcher, Keston H.; Smith, Kristen L.; Sanchez, Elizabeth R. H.; Sanders, Courtney B. – Association for Institutional Research, 2017
Higher education insiders trumpet the use of results for improvement as the most important part of the assessment cycle. Yet, at the same time, we acknowledge the rarity of improvement, especially at a program level. What are some reasons the most important phase of assessment occurs so infrequently? To seek answers, we investigated the "Use…
Descriptors: Information Utilization, Higher Education, Program Evaluation, Program Improvement
Chatman, Steve – Association for Institutional Research, 2017
Whatever your method of selecting institutions for comparison and benchmarking, you can both increase the validity and accuracy of those comparisons and extend the value of comparisons to department and college levels by constructing a peer institution from disaggregated components. This paper will demonstrate the methodology using the National…
Descriptors: Institutional Research, Institutional Characteristics, Institutions, Research Methodology
McGuire, Katherine A. – Association for Institutional Research, 2017
Data quality has become a pressing issue for many campuses in recent years, as colleges struggle to extract timely, accurate, and consistent information from ever-proliferating institutional data sources in order to meet strategic decision-making and accountability demands. In this mixed methods study, a survey and semi-structured interviews were…
Descriptors: Institutional Research, Data, Quality Assurance, Data Collection
D'Allegro, Mary Lou – Association for Institutional Research, 2017
This study considered three selection indices to choose institutional peers: (a) proximity, (b) percentile, and (c) normative. Although conceptually similar, only the proximity selection index had been previously studied. The purpose of this paper is threefold. First, the procedures used to generate the peer sets for each selection index are…
Descriptors: Institutional Characteristics, Private Colleges, Selection, Selection Tools
Swing, Randy L.; Jones, Darlena; Ross, Leah Ewing – Association for Institutional Research, 2016
A national survey of a professional field is an appropriate and logical undertaking for a professional membership association such as the Association for Institutional Research (AIR). The National Survey of Institutional Research Offices is the most comprehensive survey of offices of institutional research ever undertaken. The goal was to collect…
Descriptors: Institutional Research, National Surveys, Institutional Characteristics, Colleges
Swing, Randy L. – Association for Institutional Research, 2016
The need for data-informed decisions is not limited to national policy, state systems, or senior leadership of postsecondary institutions. Decisions that impact the achievement of higher education missions are also made by students, faculty, frontline staff, and program administrators--all of who deserve data and information to support their…
Descriptors: Institutional Research, Information Utilization, Higher Education, Data Collection
Lillibridge, Fred; Swing, Randy L.; Jones, Darlena; Ross, Leah Ewing – Association for Institutional Research, 2016
The Association for Institutional Research (AIR) is engaged in a variety of efforts to document the current state of institutional research. In 2012, the Association initiated a critically important effort to identify the tasks involved in the work of institutional research (IR) across all titles and variations represented in its membership. This…
Descriptors: Institutional Research, Definitions, Leadership, Research Directors
Sarraf, Shimon A.; Hurtado, Sarah; Houlemarde, Mark; Wang, Xiaolin – Association for Institutional Research, 2016
Eight short surveys based on select items from the National Survey of Student Engagement (NSSE) were administered to approximately five hundred students over a nine-week period at five diverse colleges and universities. The goal of the experiment was to investigate what impact a survey panel data collection approach would have on recruitment,…
Descriptors: College Freshmen, College Seniors, Learner Engagement, National Surveys
Zilvinskis, John; Michalski, Greg V. – Association for Institutional Research, 2016
Text mining presents an efficient means to access the comprehensive amount of data found in written records by converting words into numbers and using algorithms to detect relevant patterns. This article presents the fundamentals of text mining, including an overview of key concepts, prevalent methodologies in this work, and popular software…
Descriptors: College Freshmen, Learner Engagement, College Seniors, National Surveys
Wang, Ning – Association for Institutional Research, 2015
Social network analysis (SNA), with its distinct perspective on studying relations and its exceptional capability to visualize data, should be embraced by institutional researchers as a promising new research methodology complementary to inferential and exploratory statistics. This article introduces SNA through discussion of three analytical…
Descriptors: Social Networks, Network Analysis, Institutional Research, Majors (Students)
Carpenter-Hubin, Julie; Sullivan, Jason; Herbers, Joan M. – Association for Institutional Research, 2015
Institutional researchers come to their field from a variety of educational and work experiences. Regardless of their expertise, however, it is difficult--if not impossible--for a single researcher, or even a large team of researchers, to know and understand all the nuanced differences among the many disciplines found in a comprehensive…
Descriptors: Teacher Collaboration, Institutional Research, College Faculty, STEM Education
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