The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Using confidence intervals for graphically based data interpretation.
Abstract
As a potential alternative to standard null hypothesis significance testing, we describe methods for graphical presentation of data--particularly condition means and their corresponding confidence intervals--for a wide range of factorial designs used in experimental psychology. We describe and illustrate confidence intervals specifically appropriate for between-subject versus within-subject factors. For designs involving more than two levels of a factor, we describe the use of contrasts for graphical illustration of theoretically meaningful components of main effects and interactions. These graphical techniques lend themselves to a natural and straightforward assessment of statistical power.
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Cites
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
The graphical presentation of a collection of means
Goldstein, H., & Healy, M. J. R. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983411 · Cited by 639
Cited by
Bayesian t tests for accepting and rejecting the null hypothesis
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.225 · Cited by 3,688
The New Statistics: Why and How
Cumming, G. (2014) · Psychological Science · doi:10.1177/0956797613504966 · Cited by 3,200
Ellis, P. D. (2010) · doi:10.1017/cbo9780511761676 · Cited by 2,461
Inference by Eye: Confidence Intervals and How to Read Pictures of Data.
Cumming, G., & Finch, S. (2005) · American Psychologist · doi:10.1037/0003-066x.60.2.170 · Cited by 1,449
The fallacy of placing confidence in confidence intervals
Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0947-8 · Cited by 577
“For instance, with respect to 95 % confidence intervals, Masson and Loftus (2003) state that “in the absence of any other information, there is a 95 % probability that the obtained confidence interval includes the population mean.””
Background
Metadata
- Authors
- Masson, M. E. J., & Loftus, G. R.
- Venue
- Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale
- Published
- 2003-09
- Volume
- 57
- Issue
- 3
- Pages
- 203-220
- ISSN
- 1196-1961 (ISSN-L)
- 1878-7290
- OpenAlex
- W2022741721
- Cited by
- 730
- References
- 2
- FWCI
- 34.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Masson, M. E. J., & Loftus, G. R. (2003). Using confidence intervals for graphically based data interpretation. Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale. https://doi.org/10.1037/h0087426
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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.
