This 60-Second survey (Appendix A) was a partnership between the American Council on Education (ACE) and AACRAO. Colleges and universities have invested in the use of data analytics to improve student outcomes, close attainment gaps, and improve organizational performance. As environmental conditions continue to evolve, the pressure to do so in…

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…

The NEAIR (North East Association for Institutional Research) 2012 Conference Proceedings is a compilation of papers presented at the Bethesda, Maryland conference. Papers in this document include: (1) Can a Marketing Campaign Increase Response Rates to Online Course Evaluations? (Kimberly Puhala); (2) Developing Community College Peer…

Evaluative statements from alumni have legitimacy with both internal and external stakeholders. Thus, alumni studies can provide valuable evidence of institutional effectiveness and lend themselves to both locally designed and commercial survey instruments for data collection. Under ideal conditions, the results of alumni studies equip faculty and…

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)

An annotated bibliography intended to add to the advancement officer's understanding of the survey (its design, techniques, and uses) is provided. (Author/MLW)

A survey done properly by accepted and scientifically justifiable techniques can provide information on behalf of the goals of institutional advancement in academe. Deficiencies in institutional research are seen as the result of the lack of guidance on survey design, questionnaire construction, or problem definition in education research texts.…

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…

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…

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…

Many do not consider the effect that missing data have on their survey results nor do they know how to handle missing data. This chapter offers strategies for handling item-missing data and provides a practical example of how these strategies may affect results. The chapter concludes with recommendations for preventing and dealing with missing…

The NCHEMS Information About Students (IAS) project has as one of its primary goals the development of procedures and materials to assist institutions of postsecondary education in conducting attrition studies. It was the intent of the IAS project to develop and pilot test a questionnaire and accompanying procedures that would help institutions…

Alumni research does not yet have its own body of literature and resources. Readings are selected from related areas, such as fundraising, marketing, survey research, and other resource books. (MLW)

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)