Model Validity Measures


Validity Analysis

CRAVE MSVMaxR(H) 形象线索 行为线索 交互线索 社会存在感 远程临场感 品牌信任
形象线索 0.878 0.644 0.256 0.879 0.802
行为线索 0.844 0.643 0.285 0.844 0.506*** 0.802
交互线索 0.899 0.598 0.208 0.902 0.414*** 0.456*** 0.773
社会存在感 0.865 0.681 0.232 0.866 0.481*** 0.434*** 0.408*** 0.825
远程临场感 0.887 0.611 0.285 0.890 0.429*** 0.534*** 0.413*** 0.370*** 0.782
品牌信任 0.858 0.601 0.215 0.862 0.420*** 0.416*** 0.380*** 0.464*** 0.227*** 0.776

Validity Concerns

No validity concerns here.

HTMT Analysis

形象线索 行为线索 交互线索 社会存在感 远程临场感 品牌信任
形象线索
行为线索 0.511
交互线索 0.418 0.455
社会存在感 0.485 0.437 0.408
远程临场感 0.435 0.543 0.423 0.372
品牌信任 0.430 0.427 0.382 0.472 0.236

HTMT Warnings

There are no warnings for this HTMT analysis.

References

Significance of Correlations:
† p < 0.100
* p < 0.050
** p < 0.010
*** p < 0.001

Thresholds From:
Hu, L., Bentler, P.M. (1999), "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives" SEM vol. 6(1), pp. 1-55.
Henseler, J., C. M. Ringle, and M. Sarstedt (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling, Journal of the Academy of Marketing Science, 43 (1), 115-135.
Thresholds are 0.850 for strict and 0.900 for liberal discriminant validity.

--If you would like to cite this tool directly, please use the following: Gaskin, J., James, M., and Lim, J. (2019), "Master Validity Tool", AMOS Plugin. Gaskination's StatWiki.