A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling

2010 ◽  
Vol 17 (1) ◽  
pp. 82-109 ◽  
Author(s):  
Jörg Henseler ◽  
Wynne W. Chin
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Interaction Effects ◽  
Path Modeling

scholarly journals Invariance Test: Detecting Difference Between Latent Variables Structure in Partial Least Squares Path Modeling

2017 ◽  
Vol 6 (2) ◽  
pp. 54 ◽  
Author(s):  
Giuseppe Lamberti ◽  
Tomas Aluja Banet
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Structural Model ◽  
Measurement Model ◽  
Reasonable Doubt ◽  
Path Modeling ◽  
Measurement Models ◽  
Almost All ◽  
Invariance Test

In the context of heterogeneity, almost all partial least squares path modeling (PLS-PM) approaches focus on differences in the causal relationships between the latent variables. The principal goal is to detect segments that have different path coefficients in the structural model, yet inadequate attention is generally given to the measurement model. Thus, anytime that we define specific sub-models for different groups of individuals, we may wonder if the latent variables are the same in all detected sub-models. Taking this into consideration, the problem of invariance arises, meaning that if the estimation of latent variables are specific in each sub-model, there is reasonable doubt regarding whether we can compare the distinct behavior of individuals who belong to two different segments. In this paper, we present an invariance test as a possible solution, whereby the goal is to verify whether or not the measurement models of each sub-model may be assumed equal among themselves.

scholarly journals State Capacity and Tolerance towards Tax Evasion: First Evidence from Romania

2020 ◽  
Vol 10 (2) ◽  
pp. 33 ◽  
Author(s):  
Călin Vâlsan ◽  
Elena Druică ◽  
Rodica Ianole-Călin
Keyword(s):  
Distributive Justice ◽  
Least Squares ◽  
Partial Least Squares ◽  
Informal Economy ◽  
Tax Evasion ◽  
Latent Variables ◽  
State Capacity ◽  
Path Modeling ◽  
Weak State ◽  
Media Reports

We investigate the level of tolerance towards tax non-compliance and the informal economy in Romania, using a sample of 250 respondents. This variable is determined by a complex set of latent variables that include, but is not limited to, state capacity, social and business norms, the perception of non-compliance, and the perception of distributive justice. We find that our respondents are intolerant towards tax evasion and the informal economy, but the level of intolerance is relatively mild. Using a partial least squares—path modeling approach, we also find that a weak state capacity and the perception of lack of distributive justice increases the level of tolerance. The perception of tax evasion stemming from media reports, and the respondents’ own self-enhancement bias, combine to push the level of tolerance lower.

EVALUASI PENERAPAN E-FAKTUR DENGAN MODEL KESUKSESAN SISTEM INFORMASI DELONE DAN MCLEAN (STUDI KASUS DI KPP PRATAMA METRO)

2019 ◽  
Vol 3 (2) ◽  
pp. 129
Author(s):  
Tosan Yanuar Rachmadi ◽  
Riya Dwi Handaka
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Path Modeling

Penerapan e-Faktur di Indonesia dilaksanakan untuk memudahkan Pengusaha Kena Pajak dalam menerbitkan faktur pajak dengan memanfaatkan teknologi informasi. Namun dalam penerapan e-Faktur yang telah diwajibkan penggunaanya sejak pertengahan 2016 masih ditemukan berbagai kendala. Penelitian ini bertujuan untuk mengevaluasi penerapan e-Faktur dengan menggunakan model kesuksesan sistem informasi DeLone dan McLean dalam mengukur kualitas sistem, kualitas informasi, dan kualitas layanan terhadap kepuasan pengguna serta manfaat bersih. Penelitian ini merupakan penelitian kuntitatif dengan metode studi kasus dan menggunakan data primer yang diperoleh melalui kuesioner yang disebarkan kepada  Pengusaha Kena Pajak (PKP) terdaftar di Kantor Pelayanan Pajak Pratama Metro.Dari hasil penelitian dengan menggunakan partial least squares path modeling, didapatkan bahwa kualitas informasi dan kualitas layanan berpengaruh positif dan signifikan terhadap kepuasan pengguna. Sementara itu, kualitas sistem berpengaruh positif namun tidak signifikan terhadap kepuasan pengguna. Kemudian, kepuasan pengguna juga berpengaruh positif dan signifikan terhadap manfaat bersih yang diterima Pengusaha Kena Pajak. Hasil penelitian ini juga menunjukan bahwa kepuasan pengguna merupakan variabel intervening dalam hubungan antara kualitas informasi dan kualitas layanan terhadap manfaat bersih. Sementara itu kepuasan pengguna tidak dapat menjadi variabel intervening dalam hubungan antara kualitas sistem terhadap manfaat bersih.

Latent Variable Path Modeling with Partial Least Squares

Technometrics ◽  
1992 ◽  
Vol 34 (1) ◽  
pp. 110 ◽  
Author(s):  
Charles K. Bayne ◽  
Jan-Bernd Lohmöller ◽  
Jan-Bernd Lohmoller
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variable ◽  
Path Modeling ◽  
Latent Variable Path

Smart shopping: the adoption of grocery shopping apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lee-Andra Bruwer ◽  
Nkosivile Welcome Madinga ◽  
Nqobile Bundwini
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Grocery Shopping ◽  
Intention To Use ◽  
Content Type

PurposeThe purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between antecedents of the adoption of grocery shopping apps and user attitude and intention to purchase.Design/methodology/approachThis study adopted partial least squares structural equation modeling (PLS-SEM) to evaluate the relationship between the latent variables: perceived usefulness, perceived ease of use, attitude and intention to use grocery shopping apps. Partial least squares multigroup analysis (PLS-MGA) was used to examine the moderating effect of education. A total of 305 grocery shopping apps users were surveyed using a structural questionnaire.FindingsThe results indicated that all the factors considered in the framework were significant in predicting the intention to use the grocery shopping apps. The findings show that education has no significant impact on any relationship.Practical implicationsA better understanding of the factors that affect the acceptance of mobile grocery shopping apps is important for developing better strategic management plans.Originality/valueThis is one of the first studies to research the adoption of grocery shopping apps in a developing country, as well as the first to focus on consumers in South Africa.

scholarly journals A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation

2021 ◽  
pp. 49-54
Author(s):  
Rosanna Cataldo ◽  
Laura Antonucci ◽  
Corrado Crocetta ◽  
Maria Gabriella Grassia ◽  
Marina Marino
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Policy Evaluation ◽  
Structural Equation ◽  
Bibliometric Study ◽  
Equation Modeling ◽  
Path Modeling ◽  
Research Activity ◽  
Knowledge Database ◽  
Scopus Database

Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods for the evaluation of policies. Generally, policy evaluation applies evaluation principles and methods to examine the content, implementation or impact of a policy. To better understand and characterize this trend, a bibliometric study of international papers on this subject has been developed in order to describe the use of SEM and PLS-PM approaches in the policy evaluation in the almost last 20 years. A total of 450 articles from 2000 to 2020 have been selected and analyzed in order to discover the research trends in this field and the main dimensions and words related to the terms “decision making” and “SEM-PLS” approach, that are most commonly employed in the scientific literature. The research has been conducted in theWeb of Science from ISI Web of Knowledge database and Scopus database, with the aim of identifying the major themes, authors, areas, types of the sources, titles, years of publication and countries of these publications, as well as the main themes related to the two topic analyzed

scholarly journals Mensuração da satisfação dos usuários do sistema municipal de estacionamento rotativo pago

2016 ◽  
Vol 9 (1) ◽  
pp. 19-34
Author(s):  
Franciane Cougo da Cruz ◽  
Anderson Cougo da Cruz ◽  
Paulo Sergio Ceretta
Keyword(s):  
Customer Satisfaction ◽  
Least Squares ◽  
Partial Least Squares ◽  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Path Modeling ◽  
Satisfaction Index ◽  
Customer Satisfaction Index

Resumo A pesquisa identifica a percepção dos usuários do serviço público de estacionamento rotativo pela aplicação do modelo European Customer Satisfaction Index (ECSI). O estudo mensurou as relações que envolvem usuários do sistema, uma vez que é necessário conquistar a lealdade deles por intermédio da maximização da sua satisfação e, ainda, identificar aspectos considerados como valores importantes para o cliente. Para a quantificação dessa satisfação, utilizou-se o ECSI, modelo estimado pelo método Partial Least Squares-Path Modeling (PLS-PM), que se caracteriza por sua robustez diante de modelos estruturais compostos por dados com falta de normalidade. Foram coletados dados por meio de questionários aplicados, de forma não aleatória, a 401 usuários do sistema na cidade de Bagé, no Estado do Rio Grande do Sul. Os resultados concluem que o usuário considera o serviço satisfatório, e que esse constructo foi mais afetado pela expectativa e imagem do serviço. Os constructos diferem de forma sistemática para renda e idade. À medida que aumentam esses fatores, a tendência é de que exista uma melhor avaliação do sistema de estacionamento rotativo.

The Use of Partial Least Squares Path Modeling in Causal Inference for Archival Financial Accounting Research

2014 ◽  
Vol 68 (3) ◽  
Author(s):  
Chin Fei Goh ◽  
Mohamad Bilal Ali ◽  
Amran Rasli
Keyword(s):  
Causal Inference ◽  
Least Squares ◽  
Statistical Method ◽  
Partial Least Squares ◽  
Multivariate Regression ◽  
Structural Equation ◽  
Financial Accounting ◽  
Equation Modeling ◽  
Path Modeling ◽  
Accounting Research

In financial accounting research, multivariate regression is almost exclusively the dominant statistical method. By contrast, Partial Least Squares path modeling is a under-utilized statistical method. The aim of this study is to examine how Partial Least Squares path modeling can be applied to the archival financial accounting research. This article first presents an overview on multivariate regression and structural equation modeling. The authors then highlight that advantages of using Partial Least Squares path modeling to address the research constraints in causal inference for archival financial accounting research. 

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