MEASURING STATISTICS ATTITUDES: STRUCTURE OF THE SURVEY OF ATTITUDES TOWARD STATISTICS (SATS-36)
By S. Vanhoof, Sofie Kuppens, Ana Elisa Castro Sotos, Lieven Verschaffel, Patrick Onghena. Statistics Education Research Journal, 2011
97 citations recorded by the source corpus.
Although a number of instruments for assessing attitudes toward statistics have been developed, several questions with regard to the structure and item functioning remain unresolved. In this study, the structure of the Survey of Attitudes Toward Statistics (SATS-36), a widely used questionnaire to measure six aspects of students’ attitudes toward statistics, is investigated. This study addresses the previously unexplored issue of individual item functioning. Based on confirmatory factor analysis using individual items, the results suggest that the SATS-36 can be improved by removing some poorly functioning items and that depending on the goals of a specific study either six subscales could be used or three of them (Affect, Cognitive Competence, and Difficulty) can be combined into one subscale without losing much information. First published May 2011 at Statistics Education Research Journal: Archives
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1e1f5a169ea1c24250871d5807bcc000cff262ee
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Citations in the corpus
- SURVEYS ASSESSING STUDENTS’ ATTITUDES TOWARD STATISTICS: A SYSTEMATIC REVIEW OF VALIDITY AND RELIABILITY (2012, methodology): “…parceled CFA of SATS-36 scores has confirmed a six factor model, unparceled CFA has indicated that a four factor solution in which the Affect, Cognitive Competence, and Difficulty subscales were collapsed into a single factor performed similarly to the six factor model (VanHoof et al., 2011).”