2017
DOI: 10.1177/1094428117736137
|View full text |Cite
|
Sign up to set email alerts
|

Condition 9 and 10 Tests of Model Confirmation: A Review of James, Mulaik, and Brett (1982) and Contemporary Alternatives

Abstract: Structural equation modeling (SEM) serves as one of the most important advances in the social sciences in the past 40 years. Through a combination of factor analysis and path analysis, SEM allows organizational researchers to test causal models while accounting for random and nonrandom (bias) measurement error. SEM is now one of the most commonly used analytic techniques and its modern day ubiquity can be traced in large part to a series of intellectual contributions by Larry James. The current article focuses… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
34
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 35 publications
(36 citation statements)
references
References 45 publications
1
34
1
Order By: Relevance
“…We also conducted a confirmatory factor analysis on all study variables. The model adequately fit the data ( χ 2 (194) = 978, CFI = .89, SRMR = .06, RMSEA = .06), although the CFI is slightly below recommendations (Williams, O'Boyle, & Yu, ). However, Williams et al.…”
Section: Study 1 Methodsmentioning
confidence: 82%
See 1 more Smart Citation
“…We also conducted a confirmatory factor analysis on all study variables. The model adequately fit the data ( χ 2 (194) = 978, CFI = .89, SRMR = .06, RMSEA = .06), although the CFI is slightly below recommendations (Williams, O'Boyle, & Yu, ). However, Williams et al.…”
Section: Study 1 Methodsmentioning
confidence: 82%
“…However, Williams et al. (, p. 16) note that these recommendations “were only intended as guidelines,” and that fit decisions should be made by evaluating several fit statistics in a holistic manner. On this point, Hu and Bentler () advocated for a two‐index approach (e.g., SRMR and RMSEA) to assess fit.…”
Section: Study 1 Methodsmentioning
confidence: 99%
“…However, the relationship was not in the expected direction as it was positive instead of negative. This effect did not hold for the isolated condition 9 effect (see also Williams et al., ) in which there was no evidence for a temporal relationship between challenge job demands and restoration. Regarding hindrance demands, high job insecurity was not related to lower restoration 1 year later.…”
Section: Resultsmentioning
confidence: 93%
“…To test robustness of our results, we tested the proposed model without control variables and found the results to be identical (see also Table ). In addition, we followed Williams, O'Boyle, and Yu () recommendations and performed condition nine tests. This procedure involves isolating effects for the hypothesized paths.…”
Section: Resultsmentioning
confidence: 99%
“…Similarly, methods sections tend to report certain statistics, such as fit indices for measurement models and coefficient alphas, to indicate the degree of measurement error. Authors may present, and reviewers may demand statistics that surpass arbitrary thresholds (Greco, O'Boyle, Cockburn, & Yuan, 2018;Williams, O'Boyle, & Yu, 2017). These hurdles in the review process put much weight on specific theoretical and methodological issues and may result in reviewers losing sight of other important features of a manuscript.…”
Section: Competency Framework For Peer Review 12mentioning
confidence: 99%