1974
DOI: 10.1177/001316447403400104
|View full text |Cite
|
Sign up to set email alerts
|

Intraclass Reliability Estimates: Testing Structural Assumptions

Abstract: Intraclass correlation reliablity estimates are based on the assumption that the various measures are equivalent. Jöreskog's (1970) general model for the analysis of covariance structures can be used to test the validity of this assumption.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
689
1
38

Year Published

2004
2004
2021
2021

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 1,329 publications
(774 citation statements)
references
References 6 publications
5
689
1
38
Order By: Relevance
“…32 The reliability, convergent validity and discriminant validity were examined for the measurement instruments used in the study. Reliability was assessed using composite scale reliability 28,33,34 and average variance extracted. 28,33 Composite scale reliability ranged between 0.77 and 0.95 exceeding the cut-off value of 0.7.…”
Section: Resultsmentioning
confidence: 99%
“…32 The reliability, convergent validity and discriminant validity were examined for the measurement instruments used in the study. Reliability was assessed using composite scale reliability 28,33,34 and average variance extracted. 28,33 Composite scale reliability ranged between 0.77 and 0.95 exceeding the cut-off value of 0.7.…”
Section: Resultsmentioning
confidence: 99%
“…Values of 0.67, 0.33 and 0.19 are considered to be strong, moderate and respectively weak for the inner model valuation [22]. The R-square have all strong values for the perspectives that are impacted in the final model which proves a pretty stable model.…”
Section: A Optimal Balanced Scorecard (Obsc)mentioning
confidence: 97%
“…As a general rule of thumb, in order to validate the outer model (measurement model), the Average Variance Extracted (AVE) should be greater than 0.5 (Chin, 1998) and Composite reliability higher than 0.6 [22], [23]. Composite reliability is like the reliability of a summated scale and AVE is the variance in the indicators explained by the common factor.…”
Section: A Optimal Balanced Scorecard (Obsc)mentioning
confidence: 99%
“…These fi t indices seem to suggest that the model has an ' adequate fi t ' to the data, despite the conventional standard of a ' good fi t ' (that is, 2 / DF р 3.0; RMSEA р 0.080; CFI у 0.90; GFI у 0.90 and AGFI у 0.80). 58 -60 The composite reliability (CR), which is analogous to internal reliability, 61 ranged from 0.74 (happiness dimension) to 0.77 (both success and centrality dimensions) and proportion of variance extracted (AVE) ranged from 36.2 per cent (centrality dimension) to 40.2 per cent (happiness dimension). The results seem to show that subscales of materialism displayed an acceptable level of reliability and convergent validity (that is, signifi cant indicator ' s estimated path coeffi cient).…”
Section: Assessing Psychometric Properties Of the Original 18-item 3-mentioning
confidence: 99%