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 | |
| Publication status | Published - 2007 Aug 1 |
| Externally published | Yes |
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Keywords
- Discrepancy analysis
- Discrepancy-based needs
- Needs assessment
ASJC Scopus subject areas
- Social Psychology
- Business and International Management
- Geography, Planning and Development
- Strategy and Management
- Public Health, Environmental and Occupational Health
Cite this
Problems in needs assessment data : Discrepancy analysis. / Lee, Yi Fang; Altschuld, James W.; White, Jeffry L.
In: Evaluation and Program Planning, Vol. 30, No. 3, 01.08.2007, p. 258-266.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Problems in needs assessment data
T2 - Discrepancy analysis
AU - Lee, Yi Fang
AU - Altschuld, James W.
AU - White, Jeffry L.
PY - 2007/8/1
Y1 - 2007/8/1
N2 - 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.
AB - 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.
KW - Discrepancy analysis
KW - Discrepancy-based needs
KW - Needs assessment
UR - http://www.scopus.com/inward/record.url?scp=34347225539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34347225539&partnerID=8YFLogxK
U2 - 10.1016/j.evalprogplan.2007.05.005
DO - 10.1016/j.evalprogplan.2007.05.005
M3 - Article
C2 - 17689331
AN - SCOPUS:34347225539
VL - 30
SP - 258
EP - 266
JO - Evaluation and Program Planning
JF - Evaluation and Program Planning
SN - 0149-7189
IS - 3
ER -