Problems in needs assessment data: Discrepancy analysis

Yi Fang Lee; James W. Altschuld; Jeffry L. White

doi:10.1016/j.evalprogplan.2007.05.005

Problems in needs assessment data: Discrepancy analysis

Yi Fang Lee, James W. Altschuld, Jeffry L. White

Department of Industrial Education

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Needs assessment (NA) is generally based on the discrepancy between two conditions-the desired and present states. To date, there has not been an extensive research regarding a number of subtle problems in discrepancy analysis. One such example is missing data for one or both the two states. This leads to highly varied item n's for calculating discrepancy scores. Concerns like this arose in a NA study of minority students in science, technology, engineering, and mathematics programs in universities. A number of problems observed in this context are discussed as well as possible solutions for them. The results should be valuable to needs assessors and evaluators responsible for assessing needs.

Original language	English
Pages (from-to)	258-266
Number of pages	9
Journal	Evaluation and Program Planning
Volume	30
Issue number	3
DOIs	https://doi.org/10.1016/j.evalprogplan.2007.05.005
Publication status	Published - 2007 Aug 1

Keywords

Discrepancy analysis
Discrepancy-based needs
Needs assessment

ASJC Scopus subject areas

Business and International Management
Social Psychology
Geography, Planning and Development
Strategy and Management
Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1016/j.evalprogplan.2007.05.005

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Problems in needs assessment data: Discrepancy analysis

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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