Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM

2014 ◽  
Vol 10 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Measurement Model ◽  
Health Sciences ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Standard Errors ◽  
Mediating Effects ◽  
The Social ◽  
Pls Method

Use of the partial least squares (PLS) method has been on the rise among e-collaboration researchers. It has also seen increasing use in a wide variety of fields of research. This includes most business-related disciplines, as well as the social and health sciences. The use of the PLS method has been primarily in the context of PLS-based structural equation modeling (SEM). This article discusses a variety of advanced PLS-based SEM uses of critical coefficients such as standard errors, effect sizes, loadings, cross-loadings and weights. Among these uses are advanced mediating effects tests, comprehensive multi-group analyses, and measurement model assessments.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

scholarly journals Structural Equation Modeling: Theory and Applications in Forest Management

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Tzeng Yih Lam ◽  
Douglas A. Maguire
Keyword(s):  
Structural Equation Modeling ◽  
Forest Management ◽  
Measurement Errors ◽  
Structural Equation ◽  
Light Attenuation ◽  
Measurement Model ◽  
Ecosystem Dynamics ◽  
Path Model ◽  
Management Tool ◽  
Equation Modeling

Forest ecosystem dynamics are driven by a complex array of simultaneous cause-and-effect relationships. Understanding this complex web requires specialized analytical techniques such as Structural Equation Modeling (SEM). The SEM framework and implementation steps are outlined in this study, and we then demonstrate the technique by application to overstory-understory relationships in mature Douglas-fir forests in the northwestern USA. A SEM model was formulated with (1) a path model representing the effects of successively higher layers of vegetation on late-seral herbs through processes such as light attenuation and (2) a measurement model accounting for measurement errors. The fitted SEM model suggested a direct negative effect of light attenuation on late-seral herbs cover but a direct positive effect of northern aspect. Moreover, many processes have indirect effects mediated through midstory vegetation. SEM is recommended as a forest management tool for designing silvicultural treatments and systems for attaining complex arrays of management objectives.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

The relationship between attraction, perception of service, opportunities and tourist satisfaction in backwater tourism in Alappuzha district of Kerala in India

2021 ◽  
pp. 146735842110440
Author(s):  
Legy Clara Joseph ◽  
Vasanthi Soundararajan ◽  
Satyanarayana Parayitam
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Conceptual Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Measurement Model ◽  
Equation Modeling ◽  
Tourist Satisfaction ◽  
Tourism And Hospitality ◽  
The Relationship

This article aims to explore the relationships between destination attractions, tourists’ awareness of eco-tourism and facilities, level of perceived service, opportunities and problems, and tourist satisfaction in backwater tourism in Kerala, India. Using a structured survey instrument, we gathered data from 586 tourists. A conceptual model was developed and tested after checking the psychometric properties of the instrument. We tested the measurement model using the Lisrel package (structural equation modeling), and Hayes (2018) process macros were used to test the moderation hypotheses. The results confirm that (i) attraction and opportunities are positively related to tourist satisfaction, (ii) perception of service positively moderates the relationship between attraction and tourist satisfaction, (iii) perception of service (first moderator) and awareness (second moderator) interact to influence the relationship between attraction and tourist satisfaction, and (iv) problems negatively moderate the positive relationship between opportunities and tourist satisfaction. The implications for the literature on tourism and hospitality and practicing managers are discussed.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

Perception of Lean Startup and Entrepreneurial Intention

2020 ◽  
Vol 9 (4) ◽  
pp. 18-32
Author(s):  
Suwaluck Uansa-ard ◽  
Wisuwat Wannamakok
Keyword(s):  
Structural Equation Modeling ◽  
Career Choice ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Positive Relationship ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Mediating Effects ◽  
Perceived Desirability ◽  
Lean Startup

This study explores university students' perceptions of the lean startup to investigate their entrepreneurial intention. In this sense, perceived desirability and feasibility are included as mediators in the model. A total of 280 Thai final-year undergraduate students who had previously taken entrepreneurship courses is investigated using structural equation modeling. Results show that perceived desirability and feasibility mediate the positive relationship between the perception of the Thai final-year undergraduate students of the lean startup and their entrepreneurial intention. This study sheds light on how Thai final-year students perceive entrepreneurship as a career choice through the lens of the lean startup and its mediating effects. Conclusion, discussions, and recommendations of this research can be useful to policymakers, practitioners, and educators.

An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares–Structural Equation Modeling

Assessment ◽  
2019 ◽  
Vol 27 (8) ◽  
pp. 1731-1747 ◽  
Author(s):  
Saundra M. Tabet ◽  
Glenn W. Lambie ◽  
Shiva Jahani ◽  
S. Mostafa Rasoolimanesh
Keyword(s):  
Structural Equation Modeling ◽  
World Health Organization ◽  
Structural Equation ◽  
Measurement Model ◽  
World Health ◽  
Equation Modeling ◽  
Disability Assessment ◽  
Whodas 2.0 ◽  
The World ◽  
Health Organization

The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares–structural equation modeling (PLS-SEM) with a sample of adult clients ( N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative–formative model.

scholarly journals The use and misuse of structural equation modeling in management research

2014 ◽  
Vol 11 (1) ◽  
pp. 47-81 ◽  
Author(s):  
Nebojsa S. Davcik
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Conceptual Knowledge ◽  
Goodness Of Fit ◽  
Measurement Model ◽  
Model Specification ◽  
Equation Modeling ◽  
Research Practice ◽  
Management Research ◽  
Content Type

Purpose – The research practice in management research is dominantly based on structural equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance-based SEM. The purpose of this paper is to question the current research myopia in management research, because the paper adumbrates theoretical foundations and guidance for the two SEM streams: covariance-based and variance-based SEM; and improves the conceptual knowledge by comparing the most important procedures and elements in the SEM study, using different theoretical criteria. Design/methodology/approach – The study thoroughly analyzes, reviews and presents two streams using common methodological background. The conceptual framework discusses the two streams by analysis of theory, measurement model specification, sample and goodness-of-fit. Findings – The paper identifies and discusses the use and misuse of covariance-based and variance-based SEM utilizing common topics such as: first, theory (theory background, relation to theory and research orientation); second, measurement model specification (type of latent construct, type of study, reliability measures, etc.); third, sample (sample size and data distribution assumption); and fourth, goodness-of-fit (measurement of the model fit and residual co/variance). Originality/value – The paper questions the usefulness of Cronbach's α research paradigm and discusses alternatives that are well established in social science, but not well known in the management research community. The author presents short research illustration in which analyzes the four recently published papers using common methodological background. The paper concludes with discussion of some open questions in management research practice that remain under-investigated and unutilized.

scholarly journals Anxiety in Athletes: Gender and Type of Sport Differences

2019 ◽  
Vol 12 (1) ◽  
pp. 9-17
Author(s):  
Marco Estêvão Correia ◽  
António Rosado
Keyword(s):  
Structural Equation Modeling ◽  
Sport Psychology ◽  
Structural Equation ◽  
Female Athletes ◽  
Team Sports ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Psychology Research ◽  
Male And Female ◽  
Individual Sports

The study of anxiety, specifically its relations with sociodemographic variables, has been fruitfull in sport psychology research. This study aimed to investigate athletes’ sport anxiety regarding differences in gender and sport played. An application of structural equation modeling was made, with 601 Portuguese athletes. From them 172 (28.6%) were female and 429 (71.4%) were male. They competed in a variety of individual (e.g., athletics, climbing, orienteering, surfing, swimming, tennis; 42.6%) and team sports (e.g., basketball, handball, rugby, soccer, volleyball; 57.4%). Participants’ age ranged from 12 to 47 years (M = 17.44 years; SD = 4.99). After testing the measurement invariance of the first and second-order models, across gender and type of sport (individual vs. team), latent mean comparisons were investigated and Cohen’s d (1988) statistic was computed to obtain the corresponding effect sizes (Kline, 2016). Significant differences were detected between male and female athletes and between individual and team sports. Female and individual sports athletes presented higher levels of general sports anxiety. The results of this research provided evidence that anxiety is appraised differently by athletes based on their gender and type of sport.

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