Frontiers in Psychology | |
Editorial: Scale Development and Score Validation | |
article | |
Laura Badenes-Ribera1  N. Clayton Silver2  Elisa Pedroli3  | |
[1] Department of Behavioral Sciences Methodology, University of Valencia;Department of Psychology, University of Nevada, United States;Istituto Auxologico Italiano (IRCCS) | |
关键词: psychological testing; psychometrics; quantitative measurement; questionnaire; scale; reliability; validation; | |
DOI : 10.3389/fpsyg.2020.00799 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Frontiers | |
【 摘 要 】
Scale development and validation of scores is not a job to be taken on lightly. Development is arigorous process which is based on item generation and content validation using expert feedbackand pre-testing. In fact, it may take numerous iterations for the scale to be economically feasibleand yet convey the appropriate construct.After the scale has been qualitatively developed, it goes through a rigorous quantitativeexamination to evaluate its score reliability and validation. This validation may include construct,concurrent, predictive, concurrent, and discriminant. For example, there are numerous techniquesfor evaluating construct validity such as using exploratory factor analysis (EFA) followed byconfirmatory factor analysis (CFA) or using a structural equation model (SEM). Of course,determining the number of factors in an EFA can be quite a problem. Many researchers use theclassic Scree test or Kaiser’s eigenvalue-greater-than-1.0 technique. However, some studies suggestthat these may not be the best techniques (e.g., Lloret-Segura et al., 2014). Other procedures havebeen developed that allegedly have better psychometric properties, such as Velicer’s MAP, parallelanalysis, Ruscio and Roche’s CD technique, and Achim’s NEST method.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202108170003022ZK.pdf | 222KB | download |