The increasing volume of large-scale assessment data poses a challenge for testing organizations to manage data and conduct psychometric analysis efficiently. Traditional psychometric software presents barriers, such as a lack of functionality for managing data and conducting various standard psychometric analyses efficiently. These challenges…

With the increase in technology in all facets of our lives and work, there is an ever increasing set of expectations that people have regarding information availability, response time, and dependability. While expectations are affected by gender, age, experience, industry, and other factors, people have expectations of technology, and from…

Researchers are often distressed to discover that the data they wanted to use in their landmark study is not configured in a way that is usable by a Statistical Analysis Software Package (SASP). For example, the data needed may come from two or more sources and it may not be clear to the researcher how to get them combined into one analyzable…

A study was conducted to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data systems (SLDS), (3) the…

Describes system developed at Bennett College for recording grades on a spreadsheet that allows multi-user access for updating student test scores. The interaction between spreadsheets, user-developed statistics programs, and word processing documents is discussed, and a process for using spreadsheet data in a BASIC statistics program is…

The potential uses of microcomputers in evaluation research are discussed in this pamphlet. At the beginning, a matrix is provided showing the relationship between the steps in the evaluation research process and common types of computer software. Thereafter, the guide is organized sequentially around the evaluation research activities that are…

This guidebook is designed for data analysts who are working with computer data files that contain records with incomplete data. It indicates choices the analyst must make and the criteria for making those choices in regard to the following questions: (1) What resources are available for performing the imputation? (2) How big is the data file? (3)…

The use of an integrated student information system (ISIS) to conduct institutional research at Trinity University is discussed. The types of data contained in the system, which has 59 files, include: student characteristics, recruitment, financial aid, registration, faculty load, and class scheduling. The data for students, faculty, departments,…

Argues that a mix of quantitative and qualitative measures is most efficacious in library collection analysis. Cases drawn from the literature in which a combination of these measures was profitably applied are considered, and the types of software packages for purposes of data manipulation are discussed. (Contains 15 references.) (KRN)

Papers on local area networks (LANs), modelling techniques, software improvement, capacity planning, software engineering, microcomputers and end user computing, cost accounting and chargeback, configuration and performance management, and benchmarking presented at this conference include: (1) "Theoretical Performance Analysis of Virtual…

This guide to planning and conducting research projects covers how to decide on a research problem, state a hypothesis, plan for the collection of data, write a proposal, analyze and interpret data, and write the research report. Overall, the book takes a practical, hands-on approach and offers checklists, suggestions, and guidelines for all the…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…