Search Results - "Common method variance"

Ortak Metod Varyans: Prosedürel ve Metodolojik Çözümler.

Alternate Title: Common Method Variance: Procedural and Methodological Remedies.

Authors: BAKIR, Mahmut DOĞAN, Volkan

Source: Journal of Consumer & Consumption Research / Tüketici ve Tüketim Araştırmaları Dergisi. Dec2021, Vol. 13 Issue 2, p401-455. 55p.

An updated paradigm for evaluating measurement invariance incorporating common method variance and its assessment.

Authors: Steenkamp, Jan-Benedict E.M. Maydeu-Olivares, Alberto

Source: Journal of the Academy of Marketing Science. 2021, Vol. 49 Issue 1, p5-29. 25p.

Autoethnography and Theory Testing.

Authors: Livesey, Peter Vincent Runsen, Goren

Source: Construction Economics & Building. 2018, Vol. 18 Issue 3, p40-54. 15p.

Subjects: Autoethnography, Common method variance, Willingness to pay

Positivist Information Systems Action Research: Methodological Issues.

Authors: Kock, Ned Avison, David Malaurent, Julien

Source: Journal of Management Information Systems; 2017, Vol. 34 Issue 3, p754-767, 14p

A methodological review of structural equation modelling in higher education research.

Authors: Green, Teegan (AUTHOR)

Source: Studies in Higher Education. Dec2016, Vol. 41 Issue 12, p2125-2155. 31p. 6 Charts, 2 Graphs.

Subjects: Structural equation modeling, Multivariate analysis, Statistics on social sciences, Common method variance, Higher education

CMV Matrices with Super Exponentially Decaying Verblunsky Coefficients.

Authors: Damanik, David Ruzhansky, Michael Vougalter, Vitali et al.

Source: Mathematical Modelling of Natural Phenomena. Sep2014, Vol. 9 Issue 5, p282-00294. 13p.

Subjects: Common method variance, Matrices (Mathematics), Exponential functions, Coefficients (Statistics), Inverse problems

Spectral Properties of Random and Deterministic CMV Matrices.

Authors: Damanik, David Ruzhansky, Michael Vougalter, Vitali et al.

Source: Mathematical Modelling of Natural Phenomena. Sep2014, Vol. 9 Issue 5, p270-00281. 12p.

Subjects: Common method variance, Schrödinger operator, Random matrices, Eigenvalues, Spectral theory, Mathematical models

Common Method Variance in Advertising Research: When to Be Concerned and How to Control for It.

Authors: Malhotra, Naresh K. Schaller, Tracey King Patil, Ashutosh

Source: Journal of Advertising. 2017, Vol. 46 Issue 1, p193-212. 20p.

Purely Singular Continuous Spectrum for CMV Operators Generated by Subshifts.

Authors: Ong, Darren¹ darren.ong@rice.edu

Source: Journal of Statistical Physics. May2014, Vol. 155 Issue 4, p763-776. 14p.

Subjects: Continuous spectrum (Atomic spectrum), Common method variance, Spectral theory, Mathematical physics, Dynamical systems

Decomposed human localization from social photo album.

Authors: Li, Shaozi Zhang, Miaohui Su, Songzhi et al.

Source: Multimedia Systems; Feb2016, Vol. 22 Issue 1, p137-148, 12p

Marker Variable Choice, Reporting, and Interpretation in the Detection of Common Method Variance: A Review and Demonstration.

Authors: Simmering, Marcia J. Fuller, Christie M. Richardson, Hettie A. et al.

Source: Organizational Research Methods. Jul2015, Vol. 18 Issue 3, p473-511. 39p.

Assessing the Influence of Managerial Coaching on Employee Outcomes.

Authors: Kim, Sewon¹

Source: Human Resource Development Quarterly. Spring2014, Vol. 25 Issue 1, p59-85. 27p.

Differential-Mode Low-Pass Filter Using Hybrid CPS and G-CPS With Intrinsic Common-Mode Rejection.

Authors: Feng, Lin-Ping Zhu, Lei Zhang, Songbai

Source: IEEE Transactions on Microwave Theory & Techniques. May2019, Vol. 67 Issue 5, p1836-1843. 8p.

Subjects: Lowpass electric filters, Common method variance, Electric capacity, Prototypes, Computer engineering

Spectral approximation for ergodic CMV operators with an application to quantum walks.

Authors: Fillman, Jake Ong, Darren C. VandenBoom, Tom

Source: Journal of Mathematical Analysis & Applications. Nov2018, Vol. 467 Issue 1, p132-147. 16p.

Subjects: Common method variance, Lyapunov exponents, Schrödinger equation, Spectral theory, Approximation theory

Detecting Biased Items When Developing a Scale: a Quantitative Approach.

Authors: Pillet, Jean-Charles Pigni, Federico Vitari, Claudio et al.

Source: Proceedings of the Americas Conference on Information Systems (AMCIS); 2018, p2-10, 9p

Authors: Shah, Ali M. Zahoor, Syed Zeeshan Qureshi, Ishtiaq Hussain

Source: Journal of Global Marketing. Apr-Jun2019, Vol. 32 Issue 2, p93-115. 23p. 7 Diagrams, 10 Charts.

Subject Terms: *Consumer behavior, *Consumers, *Common method variance, *Customer relationship management, Social media

Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables.

Authors: Muthén, Bengt Asparouhov, Tihomir

Source: Structural Equation Modeling. Jan-Mar2015, Vol. 22 Issue 1, p12-23. 12p.

Subjects: Latent structure analysis, Common method variance, Drawing, Structural equation modeling, Mediation, Scientific method

Modeling Nonlinear Structural Equation Models: A Comparison of the Two-Stage Generalized Additive Models and the Finite Mixture Structural Equation Model.

Authors: Finch, W. Holmes¹

Source: Structural Equation Modeling. Jan-Mar2015, Vol. 22 Issue 1, p60-75. 16p.

Subjects: Common method variance, Variance inflation factors (Statistics), Latent structure analysis, Harmonic drives, Polynomials

Reassessing the Effect of Survey Characteristics on Common Method Bias in Emotional and Social Intelligence Competencies Assessment.

Authors: Batista-Foguet, Joan Manuel Revilla, Melanie Saris, Willem E. et al.

Source: Structural Equation Modeling. Oct2014, Vol. 21 Issue 4, p596-607. 12p.

Subjects: Common method variance, Emotional intelligence, Social intelligence, Multitrait multimethod techniques, Data quality, Measurement errors

Inference and Interval Estimation Methods for Indirect Effects With Latent Variable Models.

Authors: Falk, Carl F. Biesanz, Jeremy C.

Source: Structural Equation Modeling. Jan-Mar2015, Vol. 22 Issue 1, p24-38. 15p.

Subjects: Latent structure analysis, Common method variance, Variance inflation factors (Statistics), Statistical hypothesis testing, Confidence regions (Mathematics)