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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing Indirect Effects in Different Groups in Single-Group and Multi-Group Structural Equation Models
|
|---|---|
| Published in |
Frontiers in Psychology, May 2017
|
| DOI | 10.3389/fpsyg.2017.00747 |
| Pubmed ID | |
| Authors |
Ehri Ryu, Jeewon Cheong |
| Abstract |
In this article, we evaluated the performance of statistical methods in single-group and multi-group analysis approaches for testing group difference in indirect effects and for testing simple indirect effects in each group. We also investigated whether the performance of the methods in the single-group approach was affected when the assumption of equal variance was not satisfied. The assumption was critical for the performance of the two methods in the single-group analysis: the method using a product term for testing the group difference in a single path coefficient, and the Wald test for testing the group difference in the indirect effect. Bootstrap confidence intervals in the single-group approach and all methods in the multi-group approach were not affected by the violation of the assumption. We compared the performance of the methods and provided recommendations. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 40% |
| Japan | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | <1% |
| Unknown | 125 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 29% |
| Researcher | 17 | 13% |
| Student > Doctoral Student | 12 | 10% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 8 | 6% |
| Other | 15 | 12% |
| Unknown | 27 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 47 | 37% |
| Social Sciences | 15 | 12% |
| Business, Management and Accounting | 4 | 3% |
| Engineering | 4 | 3% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 14 | 11% |
| Unknown | 39 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2022.
All research outputs
#7,408,406
of 23,567,572 outputs
Outputs from Frontiers in Psychology
#10,607
of 31,443 outputs
Outputs of similar age
#114,552
of 311,994 outputs
Outputs of similar age from Frontiers in Psychology
#279
of 600 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 31,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 600 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.