Thomas Scherndl
Biographic Data
| ID | 9294575 |
|---|---|
| NAME | Thomas Scherndl |
| GIVEN NAMES | Thomas |
| FAMILY NAME | Scherndl |
| SIGNATURE | SCHERNDL T |
| AFFILIATIONS | University of Salzburg |
| ORCID | 0000-0001-5755-9073 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Effects of Response Format on Psychometric Properties and Fairness of a Matrices Test
Reasoning is regarded to be an essential facet of fundamental cognitive abilities. As examinee characteristics may affect performance in Reasoning tests, concern about maintaining fairness is expressed. The purpose of the current study was to examine effects of response format on psychometric properties and fairness of a matrices test according to examinee ́s sex, risk propensity, and test anxiety. A total of 433 German-speaking pupils (aged 14 t…
Publication Bias in Psychology
BACKGROUND: The p value obtained from a significance test provides no information about the magnitude or importance of the underlying phenomenon. Therefore, additional reporting of effect size is often recommended. Effect sizes are theoretically independent from sample size. Yet this may not hold true empirically: non-independence could indicate publication bias. METHODS: We investigate whether effect size is independent from sample size in psych…
On the correlation between effect size and sample size
In a comment on our paper, Bradley and Brand (2013) argue that effect sizes are exaggerated owing to low power and publication bias. They propose to correct these exaggerations by application of a specific formula leading to a better estimate of the “true” effect size. In a simulation we test the effect of this formula and find this “corrective” approach unsatisfactory. We agree with Bradley and Brand on the points that effect sizes are important…
A comprehensive review of reporting practices in psychological journals
Over-reliance on significance testing has been heavily criticized in psychology. Therefore the American Psychological Association recommended supplementing the p value with additional elements such as effect sizes, confidence intervals, and considering statistical power seriously. This article elaborates the conclusions that can be drawn when these measures accompany the p value. An analysis of over 30 summary papers (including over 6,000 article…
No prominent works on this page.
On the correlation between effect size and sample size
In a comment on our paper, Bradley and Brand (2013) argue that effect sizes are exaggerated owing to low power and publication bias. They propose to correct these exaggerations by application of a specific formula leading to a better estimate of the “true” effect size. In a simulation we test the effect of this formula and find this “corrective” approach unsatisfactory. We agree with Bradley and Brand on the points that effect sizes are important…
A comprehensive review of reporting practices in psychological journals
Over-reliance on significance testing has been heavily criticized in psychology. Therefore the American Psychological Association recommended supplementing the p value with additional elements such as effect sizes, confidence intervals, and considering statistical power seriously. This article elaborates the conclusions that can be drawn when these measures accompany the p value. An analysis of over 30 summary papers (including over 6,000 article…
Publication Bias in Psychology
BACKGROUND: The p value obtained from a significance test provides no information about the magnitude or importance of the underlying phenomenon. Therefore, additional reporting of effect size is often recommended. Effect sizes are theoretically independent from sample size. Yet this may not hold true empirically: non-independence could indicate publication bias. METHODS: We investigate whether effect size is independent from sample size in psych…
Effects of Response Format on Psychometric Properties and Fairness of a Matrices Test
Reasoning is regarded to be an essential facet of fundamental cognitive abilities. As examinee characteristics may affect performance in Reasoning tests, concern about maintaining fairness is expressed. The purpose of the current study was to examine effects of response format on psychometric properties and fairness of a matrices test according to examinee ́s sex, risk propensity, and test anxiety. A total of 433 German-speaking pupils (aged 14 t…
Mathematics (4 works) · Psychology (4 works) · Statistics (4 works) · Meta-analysis and systematic reviews (3 works) · Psychometric Methodologies and Testing (3 works) · Confidence interval (2 works) · Correlation (2 works) · Econometrics (2 works) · Medicine (2 works) · Meta-analysis (2 works)