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References (96)
-
Lăcrămioara Radomir, Alan Wilson (2018)
Corporate reputation: the importance of service quality and relationship investment -
Miguel Aguirre-Urreta, Mikko Rönkkö (2018)
Statistical Inference with PLSc Using Bootstrap Confidence IntervalsMIS Q., 42
-
Aron Cass (2001)
Consumer Self-Monitoring, Materialism and Involvement in Fashion ClothingAustralasian Marketing Journal, 9
-
I
, & Rönkkö M -
W
(2010b) -
J. Cheah, M. Sarstedt, C. Ringle, Thurasamy Ramayah, H. Ting (2018)
Convergent validity assessment of formatively measured constructs in PLS-SEMInternational Journal of Contemporary Hospitality Management
-
M
, Wende S -
C
, Henseler J -
Wynne Chin (2010)
How to Write Up and Report PLS Analyses -
F
, Hult G -
K
, Manley S -
J
, & Gleser G -
, & Wilson A
(2018) -
M
, Brady M -
, Odekerken-Schröder G
, & Van Oppen C -
Wynne Chin (2010)
Bootstrap Cross-Validation Indices for PLS Path Model Assessment -
J. Cheah, H. Ting, Thurasamy Ramayah, M. Memon, T. Cham, E. Ciavolino (2018)
A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism researchQuality & Quantity, 53
-
M. Sarstedt, E. Mooi (2019)
A Concise Guide to Market ResearchSpringer Texts in Business and Economics
-
H. Wold (1982)
Soft modelling: The Basic Design and Some Extensions -
Markus Eberl (2010)
An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry -
, Roldán J
L -
K. Jöreskog, H. Wold (1982)
Systems under indirect observation : causality, structure, prediction -
P. Sharma, Galit Shmueli, M. Sarstedt, N. Danks, Soumya Ray (2018)
Prediction-Oriented Model Selection in Partial Least Squares Path ModelingDecis. Sci., 52
-
C. Ringle, M. Sarstedt (2016)
Gain more insight from your PLS-SEM results: The importance-performance map analysisInd. Manag. Data Syst., 116
-
, & Takane Y
(2014) -
Marleen Relling, Oliver Schnittka, C. Ringle, H. Sattler, Marius Johnen (2016)
Community Members’ Perception of Brand Community Character: Construction and Validation of a New ScaleJournal of Interactive Marketing, 36
-
M. Neerman-Arbez (2007)
To aggregate or not to aggregate…Journal of Thrombosis and Haemostasis, 5
-
J. Henseler, C. Ringle, M. Sarstedt (2015)
A new criterion for assessing discriminant validity in variance-based structural equation modelingJournal of the Academy of Marketing Science, 43
-
, Cheah J
-H -
J. Lohmöller (1989)
Latent Variable Path Modeling with Partial Least Squares -
Jan-Michael Becker, C. Ringle, M. Sarstedt (2018)
ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENTJournal of Applied Structural Equation Modeling
-
N. Danks, Soumya Ray (2018)
Chapter 3 Predictions from Partial Least Squares ModelsApplying Partial Least Squares in Tourism and Hospitality Research
-
L. Carter (2010)
How to Conduct Surveys: A Step-by-Step GuideCanadian Journal of University Continuing Education, 36
-
Cheryl Jarvis, Scott MacKenzie, P. Podsakoff (2003)
A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer ResearchJournal of Consumer Research, 30
-
Sally Hourigan, Ursula Bougoure (2012)
Towards a Better Understanding of Fashion Clothing InvolvementAustralasian Marketing Journal, 20
-
N
, Shmueli G -
, & Schwaiger M
(2015) -
E
, Rosen C -
Christian Nitzl, J. Roldán, Gabriel Cepeda (2016)
Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated ModelsPSN: Econometrics
-
Jan-Michael Becker, Kristina Klein, Martin Wetzels (2012)
Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type modelsLong Range Planning, 45
-
, Ray S
, Velasquez Estrada J -
Joseph Hair, M. Sarstedt, C. Ringle, S. Gudergan (2017)
Advanced Issues in Partial Least Squares Structural Equation Modeling -
Sascha Raithel, Manfred Schwaiger (2015)
The effects of corporate reputation perceptions of the general public on shareholder valueStrategic Management Journal, 36
-
J. Edwards (2001)
Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical FrameworkOrganizational Research Methods, 4
-
M. Sarstedt, Petra Wilczynski, T. Melewar (2013)
Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validitiesJournal of World Business, 48
-
H. Latan, C. Jabbour, A. Jabbour (2017)
Ethical awareness, ethical judgment, andwhistleblowing: A moderated mediation analysis -
M
, & Sarstedt M -
, Ringle C
M -
B
, MacKenzie S -
C. Ringle, M. Sarstedt, D. Straub (2012)
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterlyManagement Information Systems Quarterly, 36
-
Clay Voorhees, Michael Brady, R. Calantone, Edward Ramírez (2016)
Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remediesJournal of the Academy of Marketing Science, 44
-
-M
, Klein K -
, Sarstedt M
, Hair J -
F
, Risher J -
M
, Sarstedt M -
K
, & Henseler J -
(2004)
Components and parameters of corporate reputation -
, & Mooi E
A -
V. Patel, Scott Manley, J. Hair, O. Ferrell, Torsten Pieper (2016)
Is stakeholder orientation relevant for European firmsEuropean Management Journal, 34
-
T. Dijkstra, J. Henseler (2015)
Consistent Partial Least Squares Path ModelingMIS Q., 39
-
-B
(1989) -
L. Cronbach, G. Gleser (1958)
Psychological tests and personnel decisionsJournal of the American Statistical Association, 53
-
F
(2016) -
A. Fink (1985)
How to Conduct Surveys: A Step-by-Step Guide. Sixth Edition. -
Galit Shmueli, M. Sarstedt, Joseph Hair, J. Cheah, H. Ting, Santha Vaithilingam, C. Ringle (2019)
Predictive model assessment in PLS-SEM: guidelines for using PLSpredictEuropean Journal of Marketing
-
Manfred Schwaiger (2004)
Components and Parameters of Corporate Reputation — An Empirical StudySchmalenbach Business Review, 56
-
L
, Roberts N -
Greta Polites, Nicholas Roberts, J. Thatcher (2012)
Conceptualizing models using multidimensional constructs: a review and guidelines for their useEuropean Journal of Information Systems, 21
-
Orhan Kocyigit, C. Ringle (2011)
The impact of brand confusion on sustainable brand satisfaction and private label proneness: A subtle decay of brand equityJournal of Brand Management, 19
-
, & Karahanna E
(2000) -
C. Ringle, M. Sarstedt, Rebecca Mitchell, S. Gudergan (2020)
Partial least squares structural equation modeling in HRM researchThe International Journal of Human Resource Management, 31
-
G. Hult, Joseph Hair, Dorian Proksch, M. Sarstedt, A. Pinkwart, C. Ringle (2018)
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation ModelingJournal of International Marketing, 26
-
Allard Riel, J. Henseler, Ildikó Kemény, Z. Sasovova (2017)
Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factorsInd. Manag. Data Syst., 117
-
M. Sarstedt, C. Ringle, Joseph Hair (2021)
Partial Least Squares Structural Equation ModelingHandbook of Market Research
-
-H
, Ting H -
S. Gudergan, C. Ringle, Sven Wende, Alexander Will (2008)
Confirmatory Tetrad Analysis in PLS Path ModelingJournal of Business Research, 61
-
George Franke, M. Sarstedt (2019)
Heuristics versus statistics in discriminant validity testing: a comparison of four proceduresInternet Res., 29
-
, Wilczynski P
, & Melewar T -
W
(2010a) -
Joseph Hair, G. Hult, C. Ringle, C. Ringle, M. Sarstedt, M. Sarstedt, Kai Thiele (2017)
Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methodsJournal of the Academy of Marketing Science, 45
-
Heungsun Hwang, Y. Takane (2014)
Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling -
Yu-ping Xie, R. Devellis (1992)
Scale Development: Theory and Applications.Contemporary Sociology, 21
-
(2017)
How to Conduct Surveys: A Step-By-Step Guide (6th ed -
W
(1998) -
Martin Wetzels, G. Odekerken-Schröder, Claudia Oppen (2009)
Using PLS path modeling for assessing hierarchial construct models: guidelines and impirical illustrationManagement Information Systems Quarterly, 33
-
P
, & Ray S -
Wynne Chin (1998)
The partial least squares approach for structural equation modeling. -
Joseph Hair, Jeffrey Risher, M. Sarstedt, C. Ringle (2019)
When to use and how to report the results of PLS-SEMEuropean Business Review
-
M. Sarstedt, C. Ringle, J. Cheah, H. Ting, O. Moisescu, Lăcrămioara Radomir (2020)
Structural model robustness checks in PLS-SEMTourism Economics, 26
-
Joseph Hair, Sven Hauff, G. Hult, Nico Richter, Christian Ringle, Marko Sarstedt (2017)
Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM): Eine anwendungsorientierte Einführung -
G. Shmueli, Soumya Ray, Juan Estrada, S. Chatla (2016)
The elephant in the room: Predictive performance of PLS modelsJournal of Business Research, 69
-
L. Matthews, M. Sarstedt, Joseph Hair, C. Ringle (2016)
Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II – A case studyEuropean Business Review, 28
-
P. Harrigan, G. Soutar, M. Choudhury, M. Lowe (2015)
Modelling CRM in a Social Media AgeAustralasian Marketing Journal, 23
-
, & Noonan R
(Eds -
Ritu Agarwal, Elena Karahanna (2000)
Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology UsageMIS Q., 24
-
E. Mooi, M. Sarstedt (2011)
A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics
- Publisher
- SAGE
- Copyright
- © 2019 Australian and New Zealand Marketing Academy
- ISSN
- 1839-3349
- eISSN
- 1839-3349
- DOI
- 10.1016/j.ausmj.2019.05.003
- Publisher site
- See Article on Publisher Site
Abstract
Abstract Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, researchers frequently confuse the specification, estimation, and validation of higher-order constructs, for example, when it comes to assessing their reliability and validity. Addressing this concern, this paper explains how to evaluate the results of higher-order constructs in PLS-SEM using the repeated indicators and the two-stage approaches, which feature prominently in applied social sciences research. Focusing on the reflective-reflective and reflective-formative types of higher-order constructs, we use the well-known corporate reputation model example to illustrate their specification, estimation, and validation. Thereby, we provide the guidance that scholars, marketing researchers, and practitioners need when using higher-order constructs in their studies.
Journal
Australasian Marketing Journal – SAGE
Published: Aug 1, 2019
Keywords: Hierarchical component models; Higher-order constructs; Partial least squares; Path modeling; PLS-SEM; Second-order constructs