Compstat 1984 pp 341-346 | Cite as
Interpretation of Statistical Software Output: some Behavioral Studies
Conference paper
Summary
Systematic observation of statistical software users is seldom reported in the research literature. This paper describes a pilot study in which 33 subjects scanned graphical or numerical output for deviations from the normal distribution. A task analysis is sketched for stem and leaf display, box plot and numerical characteristics (such as moments and quantiles). The promises and pitfalls of this kind of experiment are briefly evaluated. The companion paper Molenaar (1984) discusses more fully how observation of users may contribute to better human computer interaction.
Keywords
behavioral experiments observation of package users human computer interaction exploratory data analysis.Preview
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References
- Broersma, H.J. (1984), Empirical comparison between presentation forms for data (in Dutch), Heymans Bulletin, 84–701-EX, Vakgroep Statistiek & Meettheorie FSW, University of Groningen.Google Scholar
- Cakir, A. et aí. (1983), Visual display terminals, Wiley, New York.Google Scholar
- Card, S.K., et al. (1983), The psychology of human-computer interaction, Lawrence Erlbaum Assoc., Hillsdale (N.J.).Google Scholar
- Fienberg, S.E. (1979), Graphical methods in statistics, The American Statistician 33, 165–178.Google Scholar
- Lourens, P.F. (1984), The formalization of knowledge by specification of subjective probability distributions, an experimental approach, Thesis, University of Groningen.Google Scholar
- Matula, R.A. (1981), Effects of visual display units on the eyes: a bibliography (1972–1980), Human Factors 23, 581–586.Google Scholar
- McNeil, D.R. (1977), Interactive data analysis, Wiley, New York.Google Scholar
- Molenaar, I.W. (1984), Behavioral studies of the software user, Computational Statistics and Data Analysis 2, 1-..Google Scholar
- Naveh-Benjamin, M. and Pachella, R.G. (1982), The effect of complexity on interpreting “Chernoff” faces, Human Factors 24, 11–18.Google Scholar
- Roberts, T.L. and Moran, T.P. (1983), The evaluation of text editors: methodology and empirical results, Comm. ACM 26, 265–283.CrossRefGoogle Scholar
- Scapin, D.L. (1981), Computer commands in restricted language: some aspects of memory and experience, Human Factors 23, 365–375.Google Scholar
- Tukey, J.W. (1977), Exploratory data analysis, Addison Wesley, Reading (Mass.) Velleman, P.F. and Hoaglin, D.C. ( 1981 ), Applications, basics and computing of exploratory data analysis, Wadsworth, Belmont.Google Scholar
- Wainer, H. (1974), The suspended rootogram and other visual displays, The American Statistician 28, 143–145.Google Scholar
- Wainer, H. and Francolini, C.M. (1980), An empirical inquiry concerning human understanding of two-variable color maps, The American Statistician 34, 81–93.CrossRefGoogle Scholar
- Wainer, H. and Thissen, D. (1981), Graphical data analysis, Annual Review of Psychology 32, 191–241.CrossRefGoogle Scholar
- Wesselink, G. (1983), Exploring in the packages CADA, SPSS and TTWESP: the box plot and the stem and leaf display (in Dutch), Heymans Bulletin 83–679-RP, Vakgroep Statistiek en Meettheorie FSW, University of Groningen.Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 1984