2020
DOI: 10.1007/s11135-020-01013-6
|View full text |Cite
|
Sign up to set email alerts
|

Have your cake and eat it too: PLSe2 = ML + PLS

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
34
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
1

Relationship

4
5

Authors

Journals

citations
Cited by 27 publications
(45 citation statements)
references
References 59 publications
2
34
0
Order By: Relevance
“…Moreover, we strongly encourage considering the multilevel structure of the data through multilevel analysis (Bentler, 2006). Finally, we recommend researchers to estimate their models using the robust PLSe2 estimator (Bentler and Huang, 2014; Ghasemy et al , 2021). Importantly, PLSe2 offers the advantages of maximum likelihood and PLS methodologies combined and its performance has been verified under normality and non-normality conditions (Ghasemy et al , 2021).…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…Moreover, we strongly encourage considering the multilevel structure of the data through multilevel analysis (Bentler, 2006). Finally, we recommend researchers to estimate their models using the robust PLSe2 estimator (Bentler and Huang, 2014; Ghasemy et al , 2021). Importantly, PLSe2 offers the advantages of maximum likelihood and PLS methodologies combined and its performance has been verified under normality and non-normality conditions (Ghasemy et al , 2021).…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…In terms of methodological recommendations and in line with suggestions made by Mitchell (2011), a longitudinal design, addressing the fluctuation of emotional responses over time, will provide more precise insights on this matter. Finally, we recommend estimating AET-driven models using the PLSe2 methodology (Bentler & Huang, 2014; Ghasemy, Hazri, & Gaskin, 2021; Huang, 2013) which has been proposed to have the advantages of both the PLS and maximum likelihood (ML) methodologies (Ghasemy, Hazri, & Gaskin, 2021) and can provide a more accurate picture of the interrelationships among the constructs in more complex frameworks such as reciprocal models.…”
Section: Limitations and Recommendationsmentioning
confidence: 99%
“…Job satisfaction, as an attitude, is an individual’s judgment about a job, although experienced emotions might influence this judgment (Weiss & Cropanzano, 1996). Academics’ job satisfaction has peaked higher education scholars’ interest (for recent examples, see Ghasemy et al, 2019; Ghasemy, Jamil et al, 2021), while many other studies have shown servant leadership’s contribution to job satisfaction. For example, the study by Amah (2018) revealed that, at the individual level, job satisfaction is an indirect outcome of servant leadership.…”
Section: Theoretical Framework and Hypotheses Developmentmentioning
confidence: 99%