This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…

Purpose: The objective was to identify and understand the factors involved in scientists' selection of preferred bioinformatics tools, such as databases of gene or protein sequence information (e.g., GenBank) or programs that manipulate and analyse biological data (e.g., BLAST). Methods: Eight scientists maintained research diaries for a two-week…

As part of a continuing study by home economists, in three contiguous New York State counties, of ways to identify and respond to the needs of low-income families, an interview-questionnaire was administered to 150 low-income homemakers who had children at home. The purposes of this data-collection technique were: (1) to identify some of the…

Discusses methods for designing search strategies for maximum recall, including minimizing the number of concepts intersected, isolating key subtopics, adapting the strategy to the database, and minimizing problems with search words and codes. (Author/RAA)

Activities involved in the collection and assembling of data for computer processing from the first followup survey of the National Longitudinal Study of the High School Class of 1972 (NLS) are briefly described. Included are an overview of the NLS; the sample design and survey participation; the development of the first followup survey…

This project was designed to provide a framework for user evaluation of software packages and hypertext environments in terms of the extent to which they provide flexibility for learners to follow their preferred learning styles. Evaluation was carried out in relation to hypertext packages, learning styles and outcomes, and system design. (four…

This handbook is designed to assist training developers and evaluators in structuring their collection of feedback data. Addressed first are various methods for collecting feedback data, including informal feedback, existing unit performance records, questionnaires, structured interviews, systematic observation, and testing. The next chapter, a…