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How to Write Up and Report PLS Analyses

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TLDR
A discussion of key differences and rationale that researchers can use to support their use of PLS is provided, followed by two examples from the discipline of Information Systems.
Abstract
The objective of this paper is to provide a basic framework for researchers interested in reporting the results of their PLS analyses. Since the dominant paradigm in reporting Structural Equation Modeling results is covariance based, this paper begins by providing a discussion of key differences and rationale that researchers can use to support their use of PLS. This is followed by two examples from the discipline of Information Systems. The first consists of constructs with reflective indicators (mode A). This is followed up with a model that includes a construct with formative indicators (mode B).

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Journal ArticleDOI

The adoption of drones in German agriculture: a structural equation model

TL;DR: In this paper, an extended Technology Acceptance Model (TAM) was used to understand the latent factors influencing farmers' intention to adopt a drone in a survey of 167 German farmers.
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How do Knowledge Management Practices Affect Sustainable Balanced Performance? Mediating Role of Innovation Practices

TL;DR: In this paper, the mediating role of innovation practices (IP) amidst relations of knowledge management practices (KMP) and sustainable balanced performance (SBP) was investigated in Iranian knowledge-based industrial companies.
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The Mediating Role of Work–Family Conflict on Role Stressors and Employee Turnover Intention Relationship in Labour-oriented Organizations:

TL;DR: In this paper, an employee's experience of more stress at work produces work-family conflict (WFC), and consequently, it increases his or her intention to quit the organiza...
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Rural Tourism and the Sustainable Development Goals. A Study of the Variables That Most Influence the Behavior of the Tourist.

TL;DR: In this paper, a structural equation model was drawn up to discover the relationships between the variables that most influence the tourist behavior, motivation, the destination image, and the satisfaction obtained by the tourist.
Journal ArticleDOI

Customers’ experienced product quality: scale development and validation

TL;DR: This study develops and validates a multidimensional Customers’ experienced product quality (CEPQ) scale, across four diverse product categories, and reveals that the CEPQ scale and its underlying quality dimensions possess sound psychometric properties.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI

Cross-Validatory Choice and Assessment of Statistical Predictions

TL;DR: In this article, a generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription, and examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.
Journal ArticleDOI

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

TL;DR: A new latent variable modeling approach is provided that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships.
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