2004•Structural Equation Modeling A Multidisciplinary JournalRequires access

Survey of Attitudes Toward Statistics: Factor Structure Invariance by Gender and by Administration Time

Sterling C. Hilton, Candace Schau, Joseph A. Olsen

Open publisher page 121 citations

Abstract

In addition to student learning, positive student attitudes have become an important course outcome for many introductory statistics instructors. To adequately assess changes in mean attitudes across introductory statistics courses, the attitude instruments used should be invariant by administration time. Attitudes toward statistics from 4,910 students enrolled in an introductory statistics course were measured using the Survey of Attitudes Toward Statistics (SATS) both at the beginning and at the end of the semester. Confirmatory factor analysis on the covariance structure was used to determine the gender and time invariance properties of the SATS. Results indicate that the SATS is gender, time, and Gender x Time invariant with respect to factor loadings and factor correlations. Gender was invariant with respect to 3 of the 4 factor variances; variances from these same 3 factors were larger at the end than at the beginning of the course. Having established that the SATS is factorially invariant with respect to gender, time, and Gender x Time, its component scores can be used appropriately to examine mean attitude differences for these 2 variables and their interaction.

About this research paper

What this paper is about

In addition to student learning, positive student attitudes have become an important course outcome for many introductory statistics instructors. To adequately assess changes in mean attitudes across introductory statistics courses, the attitude instruments used should be invariant by administration time. Attitudes toward statistics from 4,910 students enrolled in an introductory statistics course were measured using the Survey of Attitudes Toward Statistics (SATS) both at the beginning and at the end of the semester. Confirmatory factor analysis on the covariance structure was used to determine the gender and time invariance properties of the SATS. Results indicate that the SATS is gender, time, and Gender x Time invariant with respect to factor loadings and factor correlations. Gender was invariant with respect to 3 of the 4 factor variances; variances from these same 3 factors were larger at the end than at the beginning of the course. Having established that the SATS is factorially invariant with respect to gender, time, and Gender x Time, its component scores can be used appropriately to examine mean attitude differences for these 2 variables and their interaction.

Why it matters

OpenAlex reports 121 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In addition to student learning, positive student attitudes have become an important course outcome for many introductory statistics instructors. To adequately assess changes in mean attitudes across introductory statistics courses, the attitude instruments used should be invariant by administration time. Attitudes toward statistics from 4,910 students enrolled in an introductory statistics course were measured using the Survey of Attitudes Toward Statistics (SATS) both at the beginning and at the end of the semester. Confirmatory factor analysis on the covariance structure was used to determine the gender and time invariance properties of the SATS. Results indicate that the SATS is gender, time, and Gender x Time invariant with respect to factor loadings and factor correlations. Gender was invariant with respect to 3 of the 4 factor variances; variances from these same 3 factors were larger at the end than at the beginning of the course. Having established that the SATS is factorially invariant with respect to gender, time, and Gender x Time, its component scores can be used appropriately to examine mean attitude differences for these 2 variables and their interaction.

Key concepts: Statistics, Confirmatory factor analysis, Psychology, Covariance, Factor analysis, Invariant (physics), Measurement invariance, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Survey of Attitudes Toward Statistics: Factor Structure Invariance by Gender and by Administration Time — Research Paper | ScholarLens