Edward Kroc
Biographic Data
| ID | 5587614 |
|---|---|
| NAME | Edward Kroc |
| GIVEN NAMES | Edward |
| FAMILY NAME | Kroc |
| SIGNATURE | KROC E |
| AFFILIATIONS | University of British Columbia, Vancouver, British Columbia, Canada |
| ORCID | 0000-0001-6576-6144 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores
Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of “passing” such a test, what is not properly recognized is that such a test loses power to meaningfully discriminate between target group…
Characteristics of Counselling Psychology and Counselling Psychologists in India
The Role of Item Distributions on Reliability Estimation
Simulations concerning the distributional assumptions of coefficient alpha are contradictory. To provide a more principled theoretical framework, this article relies on the Fréchet–Hoeffding bounds, in order to showcase that the distribution of the items play a role on the estimation of correlations and covariances. More specifically, these bounds restrict the theoretical correlation range [−1, 1] such that certain correlation structures may be u…
Centering in Multiple Regression Does Not Always Reduce Multicollinearity
Within the context of moderated multiple regression, mean centering is recommended both to simplify the interpretation of the coefficients and to reduce the problem of multicollinearity. For almost 30 years, theoreticians and applied researchers have advocated for centering as an effective way to reduce the correlation between variables and thus produce more stable estimates of regression coefficients. By reviewing the theory on which this recomm…
A Measurement Is a Choice and Stevens’ Scales of Measurement Do Not Help Make It
Chalmers recently published a critique of the use of ordinal [Formula: see text] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers’ critique. We identify three broad misconceptions that characterize Chalmers’ criticisms: (1) confusing assumptions with consequences of mathematical models, and confusing both with definitions, (2) confusion about the def…
No prominent works on this page.
Centering in Multiple Regression Does Not Always Reduce Multicollinearity
Within the context of moderated multiple regression, mean centering is recommended both to simplify the interpretation of the coefficients and to reduce the problem of multicollinearity. For almost 30 years, theoreticians and applied researchers have advocated for centering as an effective way to reduce the correlation between variables and thus produce more stable estimates of regression coefficients. By reviewing the theory on which this recomm…
A Measurement Is a Choice and Stevens’ Scales of Measurement Do Not Help Make It
Chalmers recently published a critique of the use of ordinal [Formula: see text] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers’ critique. We identify three broad misconceptions that characterize Chalmers’ criticisms: (1) confusing assumptions with consequences of mathematical models, and confusing both with definitions, (2) confusion about the def…
The Role of Item Distributions on Reliability Estimation
Simulations concerning the distributional assumptions of coefficient alpha are contradictory. To provide a more principled theoretical framework, this article relies on the Fréchet–Hoeffding bounds, in order to showcase that the distribution of the items play a role on the estimation of correlations and covariances. More specifically, these bounds restrict the theoretical correlation range [−1, 1] such that certain correlation structures may be u…
Characteristics of Counselling Psychology and Counselling Psychologists in India
The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores
Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of “passing” such a test, what is not properly recognized is that such a test loses power to meaningfully discriminate between target group…
Psychology (4 works) · Advanced Statistical Methods and Models (3 works) · Computer Science (3 works) · Mathematics (3 works) · Statistics (3 works) · Econometrics (2 works) · Epistemology (2 works) · Psychometrics (2 works) · Random variable (2 works) · Reliability (semiconductor) (2 works)