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From Likert scales to images: validating a novel creativity measure with image based response scales
| Content Provider | Semantic Scholar |
|---|---|
| Author | Leutner, Franziska Yearsley, Adam Codreanu, Sonia-Cristina Borenstein, Yossi Ahmetoglu, Gorkan |
| Copyright Year | 2017 |
| Abstract | The use of image-based testing to assess individual differences has increased substantially in recent years, with proponents arguing that they offer a more engaging alternative to text-based psychometric tests. Yet research examining the validity of these tests is near to non-existent. Traditional image-based formats have been little more than an adaptation of self-reports, with images replacing questions but not response options. The current study develops a novel image-based creativity measure, where images replace conventional response scales, and scores on the measures are obtained using a linear regression scoring algorithm to predict three self-reported creativity measures. Using sequential forward selection on a set of 77 image-based items, an optimal solution of 14 items that were valid predictors of self-reported creativity scores were identified. The image-based measure had good test-retest reliability. Implications are discussed in terms of the usefulness of image-based testing for practitioners seeking engaging and short test formats. |
| Starting Page | 36 |
| Ending Page | 40 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.paid.2016.10.007 |
| Volume Number | 106 |
| Alternate Webpage(s) | https://discovery.ucl.ac.uk/id/eprint/1524012/1/Leutner_From%20Likert%20scales%20to%20images.pdf |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/82589509.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.paid.2016.10.007 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
