2019
DOI: 10.1016/j.neucom.2018.09.074
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Minimal model of calcium dynamics in two heterogeneous coupled cells

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Cited by 3 publications
(2 citation statements)
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“…The measurement model was significant X 2 = 3311.73, df = 1367, p < .01; however, the model fit was acceptable based on the following fit indices: SRMR = .067, X 2 /df = 2.423, RMSEA = .062 (Iacobucci 2010 states that SRMR <.9 indicates good fit; Kline 2011 states that X 2 /df ≤ 3 demonstrates acceptable fit; Steiger 2007 states that RMSEA < .07 indicates appropriate fit). Incremental fit indices such as CFI were not utilised to assess model fit, as Kenny (2020) notes that incremental fit indices should not be used if the RMSEA of the null (independence) model is not greater than .158 (the RMSEA of the null model was .145). An examination of the factor loadings of the various items showed that the factor loadings of three items (pairs) of the narcissism scale were < .40 (Cabrera-Nguyen 2010 notes that factor loadings < .40 in CFA are weak; Gliner, Morgan, and Leech 2017 state that the minimum cut-off for factor loadings in factor analysis is .40).…”
Section: Methodsmentioning
confidence: 99%
“…The measurement model was significant X 2 = 3311.73, df = 1367, p < .01; however, the model fit was acceptable based on the following fit indices: SRMR = .067, X 2 /df = 2.423, RMSEA = .062 (Iacobucci 2010 states that SRMR <.9 indicates good fit; Kline 2011 states that X 2 /df ≤ 3 demonstrates acceptable fit; Steiger 2007 states that RMSEA < .07 indicates appropriate fit). Incremental fit indices such as CFI were not utilised to assess model fit, as Kenny (2020) notes that incremental fit indices should not be used if the RMSEA of the null (independence) model is not greater than .158 (the RMSEA of the null model was .145). An examination of the factor loadings of the various items showed that the factor loadings of three items (pairs) of the narcissism scale were < .40 (Cabrera-Nguyen 2010 notes that factor loadings < .40 in CFA are weak; Gliner, Morgan, and Leech 2017 state that the minimum cut-off for factor loadings in factor analysis is .40).…”
Section: Methodsmentioning
confidence: 99%
“…Chi‐square test is affected by the size of the sample in the model. For models with 400 or more cases, the chi‐square is almost always statistically significant and cannot be a reasonable measure of fit (Kenny, 2020). Since the sample size in our model is rather large (26,219 observations), we do not consider the chi‐square statistic as a sign of fitness, but we still have the LR (likelihood ratio) test value reported.…”
Section: Methodsmentioning
confidence: 99%