The DOI matches its Crossref record.
Modern Methods for Business Research
Abstract
This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.
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“In our study, focusing on platform economy usage behaviors, our integrated model explained 52.1% of the variance, indicating a substantial level of explanatory power.”
In the citing paper
“Chin [76] provides guidelines for interpreting the R 2 values, suggesting that values around 0.670 indicate substantial explanatory power, values around 0.333 indicate an average level, and values of 0.190 or lower are considered weak.”
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A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
An assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2004.03.005 · Cited by 6,312
Metadata
- Authors
- Marcoulides, G. A.
- Corresponding author
- George A. Marcoulides
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 1998-03-01
- OpenAlex
- W1520714623
- Cited by
- 6,534
- References
- 0
- Citations by year
- 2026: 88 · 2025: 401 · 2024: 398 · 2023: 416 · 2022: 428 · 2021: 465 · 2020: 356 · 2019: 342 · 2018: 373 · 2017: 372 · 2016: 367 · 2015: 363 · 2014: 356 · 2013: 325 · 2012: 291
- FWCI
- 12.82
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Psychology Press eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- business research methods, measurement theory, generalizability theory, latent trait models, latent class models, location theory, data envelopment analysis, heuristic search, factor analysis, dynamic factor analysis, partial least squares, structural equation modeling, multilevel analysis, latent growth curve models, longitudinal categorical data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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