The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Reliability: A Review of Psychometric Basics and Recent Marketing Practices
Abstract
The basic theories and measurement procedures for reliability and the closely related concept of generalizability are reviewed, illustrated, and evaluated for use in marketing research. A critique is given of a subset of previous marketing research studies in which reliability estimates were used and recommendations are made for future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
The proof and measurement of association between two things
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412159 · Cited by 8,039
THEORY OF GENERALIZABILITY: A LIBERALIZATION OF RELIABILITY THEORY†
Cronbach, L. J., Rajaratnam, N., & Gleser, G. C. (1963) · British Journal of Statistical Psychology · doi:10.1111/j.2044-8317.1963.tb00206.x · Cited by 737
Personality and consumer behavior: A review
Kassarjian, H. H. (1971) · Journal of Marketing Research · doi:10.1177/002224377100800401 · Cited by 601
Average Values of Mean Squares in Factorials
Cornfield, J., & Tukey, J. W. (1956) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177728067 · Cited by 292
Cited by
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
A Meta-Analysis of Cronbach's Coefficient Alpha
Peterson, R. A. (1994) · Journal of Consumer Research · doi:10.1086/209405 · Cited by 3,028
Validation Guidelines for IS Positivist Research
Straub, D., & Gefen, D. (2004) · Communications of the Association for Information Systems · doi:10.17705/1cais.01324 · Cited by 2,797
Parkhe, A. (1993) · Academy of Management Journal · doi:10.2307/256759 · Cited by 2,698
Preston, C. C., & Colman, A. M. (2000) · Acta Psychologica · doi:10.1016/s0001-6918(99)00050-5 · Cited by 2,106
A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery
Smith, A. K., Bolton, R. N., & Wagner, J. (1999) · Journal of Marketing Research · doi:10.2307/3152082 · Cited by 2,058
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
Reliability of Nominal Data Based on Qualitative Judgments
Perreault, W. D., & Leigh, L. E. (1989) · Journal of Marketing Research · doi:10.2307/3172601 · Cited by 1,575
Cross-Sectional versus longitudinal survey research: concepts, findings, and guidelines
Rindfleisch, A., Malter, A. J., Ganesan, S., & Moorman, C. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.3.261 · Cited by 1,305
Construct Validity: A Review of Basic Issues and Marketing Practices
Peter, J. P. (1981) · Journal of Marketing Research · doi:10.2307/3150948 · Cited by 1,189
Self-citationDiagnosing measurement equivalence in cross-national research.
Mullen, M. R. (1995) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490187 · Cited by 863
Cross-cultural reliability and validity of a scale to measure firm entrepreneurial orientation
Knight, G. A. (1997) · Journal of Business Venturing · doi:10.1016/s0883-9026(96)00065-1 · Cited by 720
A cross-national comparative study of new product development processes: Japan and the United States
Song, X. M., & Parry, M. E. (1997) · Journal of Marketing · doi:10.1177/002224299706100201 · Cited by 709
The impact of services versus goods on consumers’ assessment of perceived risk and variability
Murray, K. B., & Schlacter, J. L. (1990) · Journal of the Academy of Marketing Science · doi:10.1007/bf02729762 · Cited by 811
Perceived risk: The concept and its measurement
Dowling, G. R. (1986) · Psychology & Marketing · doi:10.1002/mar.4220030307 · Cited by 551
Park, C., & Jun, J. (2003) · International Marketing Review · doi:10.1108/02651330310498771 · Cited by 414
Servicescape and loyalty intentions: an empirical investigation
Harris, L. C., & Ezeh, C. (2008) · European Journal of Marketing · doi:10.1108/03090560810852995 · Cited by 361
Searching for the backfire effect: Measurement and design considerations.
Swire-Thompson, B., DeGutis, J., & Lazer, D. (2020) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2020.06.006 · Cited by 360
A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein
Warshaw, P. R. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700201 · Cited by 340
What separates Japanese new product winners from losers
Song, X. M., & Parry, M. E. (1996) · Journal of Product Innovation Management · doi:10.1111/1540-5885.1350422 · Cited by 311
Effect-Size Estimates: Issues and Problems in Interpretation
Fern, E. F., & Monroe, K. B. (1996) · Journal of Consumer Research · doi:10.1086/209469 · Cited by 301
Hartley, S. L., & MacLean, W. E. (2006) · Journal of Intellectual Disability Research · doi:10.1111/j.1365-2788.2006.00844.x · Cited by 273
Forecasting Social CRM Adoption in SMEs: A Combined SEM-Neural Network Method
Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.032 · Cited by 239
Hall, J., & Wagner, M. (2012) · Business Strategy and the Environment · doi:10.1002/bse.728 · Cited by 227
How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies
Vereschak, O., Bailly, G., & Caramiaux, B. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3476068 · Cited by 229
Montgomery, G. H., David, D., Kangas, M., Green, S., Sucala, M., Bovbjerg, D. H., Hallquist, M. N., & Schnur, J. B. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.49.3437 · Cited by 123
Kim, T., & Song, H. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101595 · Cited by 101
A comment on the relationship between coefficient alpha and scale characteristics
Voss, K. E., Stem, D. E., & Fotopoulos, S. (2000) · Marketing Letters · doi:10.1023/a:1008146924781 · Cited by 96
Interactions and consequences of inertia and switching costs
Lee, R., & Neale, L. (2012) · Journal of Services Marketing · doi:10.1108/08876041211245281 · Cited by 78
Help me help you: How HR analytics forecasts foster organizational creativity
Di Prima, C., Cepel, M., Kotaskova, A., & Ferraris, A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123540 · Cited by 46
Selling Machinery to China: Chinese Perceptions of Strategies and Relationships
McGuinness, N., Campbell, N., & Leontiades, J. (1991) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490299 · Cited by 38
Terblanche, N. S., & Boshoff, C. (2006) · South African Journal of Business Management · doi:10.4102/sajbm.v37i3.603 · Cited by 35
The Effects of Method Variance Within Measures
Tepper, B. J., & Tepper, K. (1993) · The Journal of Psychology · doi:10.1080/00223980.1993.9915563 · Cited by 30
Sanity Checks for Saliency Metrics
Tomsett, R., Harborne, D., Chakraborty, S., Gurram, P., & Preece, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i04.6064 · Cited by 3
Metadata
- Authors
- Peter, J. P.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1979-02
- Volume
- 16
- Issue
- 1
- Pages
- 6-17
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2060885190
- Cited by
- 1,592
- References
- 5
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.