How to Write Up and Report PLS Analyses
Citations
12,855 citations
Cites background or methods or result from "How to Write Up and Report PLS Anal..."
...Furthermore, while researchers frequently note that cross-loadings are more liberal in terms of indicating discriminant validity (i.e., the assessment of crossloadings will support discriminant validity when the FornellLarcker criterion fails to do so; Hair et al. 2012a, b; Henseler et al. 2009),…...
[...]
...This result implies that, in the vast majority of situations that lack discriminant validity, empirical 3 Chin (2010) suggests examining the squared loadings and crossloadings instead of the loadings and cross-loadings....
[...]
...…first to propose that each indicator loading should be greater than all of its cross-loadings.3 Otherwise, “the measure in question is unable to discriminate as to whether it belongs to the construct it was intended tomeasure or to another (i.e., discriminant validity problem)” (Chin 2010, p. 671)....
[...]
...The evaluation of the PLS results meets the relevant criteria (Chin 1998, 2010; Götz et al. 2010; Hair et al. 2012a), which Ringle et al. (2010), using this example, presented in detail....
[...]
...…for assessing discriminant validity Reference Recommendation Fornell-Larcker criterion Cross-loadings Barclay, Higgins, and Thompson (1995) ✓ ✓ Chin (1998, 2010) ✓ ✓ Fornell and Cha (1994) ✓ Gefen and Straub (2005) ✓ ✓ Gefen, Straub, and Boudreau (2000) ✓ ✓ Götz, Liehr-Gobbers, and Krafft…...
[...]
5,328 citations
Cites background or methods or result from "How to Write Up and Report PLS Anal..."
...…also does not impose any distributional assumptions, researchers cannot rely on the classic inferential framework and thus have to revert to prediction-oriented, non-parametric evaluation criteria as well as resampling procedures to evaluate the partial model structures’ adequacy (e.g., Chin 2010)....
[...]
...…mixture partial least squares (FIMIX-PLS; Hahn et al. 2002; Sarstedt et al. 2011a); (4) guidelines for analyzing moderating effects (Henseler and Chin 2010; Henseler and Fassott 2010); (5) non-linear effects (Rigdon et al. 2010); and (6) hierarchical component models (Lohmöller 1989; Wetzels…...
[...]
...Since predominantly covariance-based SEM techniques have been used to estimate models in marketing, PLSSEM use often requires a more detailed explanation of the rationale for selecting this method (Chin 2010)....
[...]
...In general, PLS-SEM studies should provide information on (1) the population and sample structure, (2) the distribution of the data, (3) the conceptual model, including a description of the inner and outer models, as well as the measurement modes, and (4) the statistical results to corroborate the subsequent interpretation and conclusions (Chin 2010)....
[...]
...…published in 2000 and beyond (165 studies with 242 models).3 Reasons for using PLS-SEM Since predominantly covariance-based SEM techniques have been used to estimate models in marketing, PLSSEM use often requires a more detailed explanation of the rationale for selecting this method (Chin 2010)....
[...]
5,191 citations
Cites background from "How to Write Up and Report PLS Anal..."
...additional discussion to explain the rationale behind the decision (Chin, 2010)....
[...]
1,842 citations
References
115,069 citations
"How to Write Up and Report PLS Anal..." refers background or methods in this paper
...35, similar to Cohen (1988) operational definitions for multiple regression, can be viewed as a gauge for whether a predictor LV has a small, medium, or large effect at the structural level....
[...]
..., Cohen 1990, p. 1309). Instead, closer attention should be paid to the predictiveness of the model. Are the structural paths and loadings of substantial strength as opposed to just statistically significant? Standardized paths should be around 0.20 and ideally above 0.30 in order to be considered meaningful. Meehl (1990) has argued that anything lower may be due to what he has termed the crud factor where “everything correlate to some extent with everything else” (p....
[...]
...approximation by determining the specific portion of the model that has the largest number of predictors for a particular dependent variable and then applying Cohen’s power tables (1988) relative to the effect sizes one wishes to detect....
[...]
56,555 citations
"How to Write Up and Report PLS Anal..." refers methods in this paper
...To that extent, the R-square for dependent LVs, the Stone-Geisser (Stone 1974; Geisser 1975) test for predictive relevance, Fornell and Larcker (1981) average variance extracted measure, and bootcross validation are used to assess predictiveness, while resampling procedures such as jack knifing and bootstrapping are used to examine the stability of estimates....
[...]
10,147 citations
"How to Write Up and Report PLS Anal..." refers background in this paper
...First introduced by Blalock (1964), formative indicators are defined as measures that form or cause the creation or change in an LV (Chin and Gopal 1995, pp. 58–59; Chin 1998b; Jarvis et al. 2003)....
[...]
...A key argument for this position is that the case values for the constructs (i.e., PLS estimated scores) are “inconsistent” relative to CBSEM model analysis because PLS components are aggregates of the observed variables and include measurement error ( Chin 1998b )....
[...]
7,385 citations
"How to Write Up and Report PLS Anal..." refers methods in this paper
...To that extent, the R-square for dependent LVs, the Stone-Geisser (Stone 1974; Geisser 1975) test for predictive relevance, Fornell and Larcker (1981) average variance extracted measure, and bootcross validation are used to assess predictiveness, while resampling procedures such as jack knifing and bootstrapping are used to examine the stability of estimates....
[...]
5,639 citations