Abstract
In most selection procedures, multiple instruments are used to predict one or more criteria of interest. This tool uses the formula presented in Murphy (2019) and allows you to see how the multivariate validity changes depending on how much weight you give to the instruments that are used and the criteria that are predicted.
In practice, it may be common to obtain scores or ratings from a cognitive ability test, a conscientiousness questionnaire, and an interview, to predict later job performance. Based on validity estimates presented in Cortina et al. (2000), the default option of the app allows you to choose one or more of these predictors for the prediction of job performance.
Alternatively, you can specify your own predictors and criteria via the ‘Other’ option, and enter your own correlations by clicking on a cell in the correlation matrix presented under the tab ‘Multivariate validity’.
In practice, it may be common to obtain scores or ratings from a cognitive ability test, a conscientiousness questionnaire, and an interview, to predict later job performance. Based on validity estimates presented in Cortina et al. (2000), the default option of the app allows you to choose one or more of these predictors for the prediction of job performance.
Alternatively, you can specify your own predictors and criteria via the ‘Other’ option, and enter your own correlations by clicking on a cell in the correlation matrix presented under the tab ‘Multivariate validity’.
| Original language | English |
|---|---|
| Type | The predictive validity of weighted combinations of predictors and criteria - Shiny app |
| Media of output | App (via Github) |
| Publication status | Published - 2021 |