Revised Simpson-Troost Attitude Questionnaire (STAQ-R)
Revised Simpson-Troost Attitude Questionnaire (STAQ-R) is a revised version of the original tool called the Simpson Troost Attitude Questionnaire (STQ), a 58-item Likert type scale created by Simpson and Troost in 1982. For reference, please see Simpson, R. D., & Troost, K. M. (1982). Influences on commitment to and learning of science among adolescent students. Science Education, 66, 763-781.
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Supplemental Information:
- STAQ-R_Questionnaire.pdf (25.9 KB) Download
Assessment Type:
5-point Likert scale ranging from "strongly agree" to "strongly disagree" with an option of a neutral response (undecided/uncertain).Scale:
22 item Likert scalePublication Date:
Jun 08, 2009Respondent:
1812 middle school students (grades 6th - 8th). 1754 responses were analyzed.Domain(s) Evaluated:
Engagement, Attitude / Behavior, Career Knowledge / AcquisitionSample items:
We do a lot of fun activities in science class.I always try hard, no matter how difficult the work.
I would enjoy being a scientist.
Reliability:
Cronbach's alpha = 0.85Validity:
Reported and high. Confirmatory factor analysis and exploratory factor analysis (5 factors) were applied for validation of the tool.Frequency:
RarelyAdministration time:
25 minutesRequires a Computer:
NoRequires Internet Access:
NoPrimary reference:
Owen, S. V., Toepperwein, M. A., Marshall, C. E., Lichtenstein, M. J., Blalock, C. L., Liu, Y., et al. (2008). Finding pearls: Psychometric reevaluation of the Simpson Troost Attitude Questionnaire (STAQ). Science Education, 92(6), 1076-1095.Comments:
5 sub-scales (Motivating Science Class, Self-Directed Effort, Family Models, Science is Fun for me, Peer Models) were validated and cross-validated across genders and grades of the respondents.Soltani, A. (2018). Influence of Motivating Science Class, Family, and Peer Models on Students’ Approaches to Learning Science: A Structural Equation Modeling Analysis. Research in Science Education.
Other Reference:
Nasr, A. & Soltani, A. K (2011). Attitude towards biology and its effects on student's achievement. International Journal of Biology, 3 (4), 100-104.
The study made use of STAR-R, it was piloted and the reliability coefficient (Cronbach's alpha) was 0.85 showing that the questions had strong internal correlation.
STEM Criteria
Science
YesTechnology
NoEngineering
NoMath
No
Contact
Linda Pruski Pruski@uthscsa.edu Phone: (210) 567-2747
Linda Pruski Pruski@uthscsa.edu Phone: (210) 567-2747