485
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Investigating Dimensionality of Eskin's Attitudes Toward Suicide Scale with Mokken Scaling and Confirmatory Factor Analysis

, , &
Pages 226-237 | Published online: 01 Aug 2012
 

Abstract

Attitudes toward suicide are often investigated by means of questionnaires, most of which are overly long or of low psychometric quality. Eskin's (Citation2004) Attitudes Towards Suicide Scale is short and first investigations suggest good psychometric properties, but its factor structure has scarcely been explored. Hence, we examined this instrument by a data-analytic approach that combines Mokken scaling and confirmatory factor analysis (CFA). Results revealed 6 factors, of which 1 possessed only weak measurement properties. CFAs indicated only borderline fit of models found in prior research, but adequate fit for the scale structures revealed by Mokken scaling. Psychometric properties of these scales were satisfactory. Both the instrument as well as the methodological approach presented here can be recommended for further research.

Notes

Note. Numbers in cells are item numbers, and numbers in parentheses are the respective scales' scalability coefficients H. minH i  = minimum item scalability for an item to be selected to a scale. Sc = Mokken Scale.

Note. Factor names were taken from the six-factor solution of Eskin (Citation2004). Item 16 was found to be unscalable and therefore excluded from analysis, but is still listed in the table. H = Loevinger's scalability coefficient for the complete scale; H i  = Loevinger's scalability coefficient for a single item (i.e., item discrimination); α = Cronbach α; ρ = Molenaar-Sijtsma ρ.

Note. Split = Splitting the factor Suicide as a Solution from the factor Acceptability of Suicide (yes or no); χ2 = χ2 value of model fit; df = degrees of freedom; TLI = Tucker-Lewis index; CFI = comparative fit index; RMSEA = root-mean-square error of approximation; SRMR = standardized root-mean-square residual; numbers in brackets are 95% confidence intervals for the RMSEA.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.