Multivariate Data Analysis

By X. Qu. Technometrics, 2007

38,992 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/67556c4f0cfdd1f09fff373768b03638f949be0d

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Citations in the corpus

Performance management and teacher performance: the role of affective organizational commitment and exhaustion (2020, methodology): “We used recommended fit indices (e.g. Hair et al., 2010) and cut-off criteria (e.g. Hu & Bentler, 1999).”
Predicting green product consumption using theory of planned behavior and reasoned action (2016, methodology): “According to Browne and Cudek (1993) and Hair et al., 1998, model fit is good when indices Z0.”
Internet/e-business technologies acceptance in Canada's SMEs: An exploratory investigation (2011, neutral): “As well, the factor loading of each measurement item is adequate in line with recommended threshold values (Nunnally, 1978; Hair et al., 1998).”
A Generalizable Scale of Propensity to Plan: The Long and the Short of Planning for Time and for Money (2010, background): “For both indices, values above .90 have been considered “adequate” and values above .95 as “good” (Hair et al. 2009).”
Do comprehensive performance measurement systems help or hinder managers' mental model development? (2011, methodology): “This ensures that the constructs’ measures are reliable and valid before assessing the nature of the relations between the constructs (Barclay et al., 1995; Hair et al., 1998; Hulland, 1999).”
Value-based Adoption of Mobile Internet: An empirical investigation (2007, background): “As a rule of thumb, if the VIF of a variable exceeds 10, that variable is said to be highly collinear and will pose a problem to regression analysis [26].”
Antecedents of Service Innovation in SMEs: Comparing the Effects of External and Internal Factors (2014, methodology): “Composite Scores Once the scale validity and reliability were verified, mean scores were calculated from the scale items to generate the composite scores for the seven constructs that would be used in the regression analysis (Hair et al. 1998). Furthermore, the normality of the seven composite score”
External Determinants and Financial Outcomes of an Eco‐friendly Orientation in Smaller Manufacturing Firms* (2016, background): “With regard to convergent validity, this was met because the t-value for each item was always significant, all standard errors of the estimated coefficients were very low, and the average variance extracted for each construct was above the threshold level of .50 (Hair et al. 2011).”
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms (2021, methodology): “To establish the discriminant validity, we checked whether the square root of the AVE was greater than the inter-correlation values between the constructs, a criterion set by FornellLarcker (Hair et al. 2010).”
Governance pressures and performance outcomes of sustainable supply chain management – An empirical analysis of UK manufacturing industry (2017, background): “Multicollinearity can be a threat for structural models, as it can distort the effects of an individual construct, leading to incorrect estimations of regression weights (Hair et al., 2010).”
A growing fear (2016, methodology): “Given threshold values for the acceptable model fit (Hair et al., 2006), normed χ(2) ≤ 3, CFI ≥ .”