Eunseong Cho
Biographic Data
| ID | 10719399 |
|---|---|
| NAME | Eunseong Cho |
| GIVEN NAMES | Eunseong |
| FAMILY NAME | Cho |
| SIGNATURE | CHO E |
| AFFILIATIONS | Kwangwoon University |
| ORCID | 0000-0003-1818-0532 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
An Updated Guideline for Assessing Discriminant Validity
Discriminant validity was originally presented as a set of empirical criteria that can be assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied researchers rarely lend themselves to MTMM analysis, the need to assess discriminant validity in empirical research has led to the introduction of numerous techniques, some of which have been introduced in an ad hoc manner and without rigorous methodological support. We re…
Making Reliability Reliable
The current conventions for test score reliability coefficients are unsystematic and chaotic. Reliability coefficients have long been denoted using names that are unrelated to each other, with each formula being generated through different methods, and they have been represented inconsistently. Such inconsistency prevents organizational researchers from understanding the whole picture and misleads them into using coefficient alpha unconditionally…
Cronbach’s Coefficient Alpha
This study disproves the following six common misconceptions about coefficient alpha: (a) Alpha was first developed by Cronbach. (b) Alpha equals reliability. (c) A high value of alpha is an indication of internal consistency. (d) Reliability will always be improved by deleting items using “alpha if item deleted.” (e) Alpha should be greater than or equal to .7 (or, alternatively, .8). (f) Alpha is the best choice among all published reliability …
No prominent works on this page.
Cronbach’s Coefficient Alpha
This study disproves the following six common misconceptions about coefficient alpha: (a) Alpha was first developed by Cronbach. (b) Alpha equals reliability. (c) A high value of alpha is an indication of internal consistency. (d) Reliability will always be improved by deleting items using “alpha if item deleted.” (e) Alpha should be greater than or equal to .7 (or, alternatively, .8). (f) Alpha is the best choice among all published reliability …
Making Reliability Reliable
The current conventions for test score reliability coefficients are unsystematic and chaotic. Reliability coefficients have long been denoted using names that are unrelated to each other, with each formula being generated through different methods, and they have been represented inconsistently. Such inconsistency prevents organizational researchers from understanding the whole picture and misleads them into using coefficient alpha unconditionally…
An Updated Guideline for Assessing Discriminant Validity
Discriminant validity was originally presented as a set of empirical criteria that can be assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied researchers rarely lend themselves to MTMM analysis, the need to assess discriminant validity in empirical research has led to the introduction of numerous techniques, some of which have been introduced in an ad hoc manner and without rigorous methodological support. We re…
Computer Science (3 works) · Mathematics (3 works) · Psychometric Methodologies and Testing (3 works) · Multi-Criteria Decision Making (2 works) · Psychometrics (2 works) · Reliability (semiconductor) (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Advanced Statistical Modeling Techniques (1 work) · Algorithm (1 work)