Multivariate Data Analysis With Readings
By L. Furst. 2016
2,164 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7312b28b694a70f557228adbfe4cbf74b25a4f4c
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Christian Maier
- Sven Laumer
- Kuttimani Tamilmani
- Monideepa Tarafdar
- Francisco J. Liébana-Cabanillas
Citations in the corpus
- The Influence of Organizational Commitment on Omani Public Employees’ Work Performance (2017, background): “…to be normality distributed, it was crucial to test normality in this research to confirm whether that International Review of Management and Marketing | Vol 7 • Issue 2 • 2017156 a sample of observation comes from a normal distribution (Hair et al., 1995; Kline, 2011; Tabachnick and Fidell, 2001).”
- Satisfaction and positive emotions: A comparison of the influence of hotel guests’ beliefs and attitudes on their satisfaction and emotions (2019, methodology): “Because the results were in accordance with the recommended thresholds (Anderson et al., 1995), we concluded that the Table 3 Results of CFA for beliefs about hotel servicescape elements: Reliability coef-”
- Attractiveness, trustworthiness and expertise – social influencers’ winning formula? (2020, unknown): “(Brosius, 2013; Hair, 1995).”
- Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, background): “On one hand, Harrison (2015) suggested that perceived compatibility had the strongest effect on behavioral intention; and on the other hand, credibility, performance expectancy, effort expectancy, and social influence, ordered by their effect size, significantly influence attitude toward mobile bank”
- Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017, background): “By looking at standardised residual covariance, one item of effort expectancy (EE2) and one items of trust (TR1) had residual values of 3.171 and 3.412 respectively and were higher than their respective level of ±2.58 (Hair et al., 1995).”
- Social interactions and intentions to revisit for agritourism service encounters (2014, methodology): “Various cutoff criteria were used to determine the number of factors derived, such as eigenvalues, scree plot, percentage of variance, item communalities, and factor loadings (Hair et al., 1998).”
- COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown (2021, unknown): “166% of the variance and significantly loaded on their associated factors without high cross-loadings, which is satisfactory for a social science study (Hair et al., 1979).”
- Intellectual capital and organisational performance in Malaysian knowledge-intensive SMEs (2017, methodology): “CFA was used to test the validity of the measurement model and the structural model (De Run et al., 2008; Hair et al., 1998; Meyers et al., 2006; Sing, 2008).”
- Incumbents’ Attitude Toward Intrafamily Succession (2016, background): “The composite reliabilities for the three multi-item variables are 0.89, 0.91, and 0.86, respectively, all above the suggested threshold of 0.7 (Hair, 1998).”
- A time-lagged study on the moderating role of overall satisfaction in perceived politics: Job outcomes relationships (2016, background): “10 (Chatterjee & Price, 1991; Hair et al., 1998), which showed that multiple colinearity was not a problem.”
- Dynamic Nature of Destination Image and Influence of Tourist Overall Satisfaction on Image Modification (2014, background): “The factor loadings for the three variables ranged from .867 to .920, within the threshold value suggested by Hair et al. (1998).”
- Technostress creators and job outcomes: theorising the moderating influence of personality traits (2015, background): “Convergent validity was further tested by examining the composite reliability (CR) and average variance extracted (AVE: the ratio of the construct variance to the total variance amongst indicators) for the measures (Hair et al., 1998).”
- Mobile Application Usability: Conceptualization and Instrument Development (2015, methodology): “In this case, one path between the reflective indicators and each first-order construct was set as 1 when setting up the measurement model (Hair et al. 1998; MacCallum and Browne 1993; MacKenzie et al. 2011).”
- Determinants of forward-looking disclosures in integrated reporting (2018, background): “The results indicated that the variance in fl ation factor (VIF) ranged between 1.12 and 1.79, which is signi fi cantly lower than the threshold value of 10 (Hair et al. , 2010).”
- The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity (2015, background): “All VIFs were less than 1.781 and therefore considerably lower than the recommended threshold of 10.0, suggesting that multi-collinearity was not a problem (Hair et al. 1995).”
- Collinearity: revisiting the variance inflation factor in ridge regression (2015, methodology): “As stated by O’Brien [36] ‘commonly a VIF of 10 or even one as low as 4 have been used as rules of thumb to indicate excessive or serious collinearity’ [13,25,29,31,34,35].”
- Giving too much social support: social overload on social networking sites (2015, background): “The reliability values are above the recommended minimal threshold of 0.7 (Nunnally & Bernstein, 1994; Hair, 1995; see Table 2: Reliability).”