1999
DOI: 10.1177/0011000099273005
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Graphs for Research in Counseling Psychology

Abstract: Statistical graphics are indispensable to good scientific research. This article highlights effective graphical methods for (a) screening and cleaning data, (b) exploring and identifying models, and (c) displaying data in counseling psychology publications. The motivating principle for this presentation is that graphs are not ancillary to scientific publications. They are essential and, in some cases, sufficient expositions of results.

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Cited by 21 publications
(12 citation statements)
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“…In general, pie charts are more accurate for making part/whole judgments than divided bar graphs are because divided bar graphs often require adding up information from different parts of the bar (Simkin and Hastie, 1986). Thus, pie charts are generally preferred over divided bar charts when the goal is for viewers to comprehend relative proportions (Kosslyn, 1994;Wilkinson, 1999). However, divided bar charts may be better when absolute values as well as proportions are important to communicate (Kosslyn, 1994).…”
Section: (B)mentioning
confidence: 99%
“…In general, pie charts are more accurate for making part/whole judgments than divided bar graphs are because divided bar graphs often require adding up information from different parts of the bar (Simkin and Hastie, 1986). Thus, pie charts are generally preferred over divided bar charts when the goal is for viewers to comprehend relative proportions (Kosslyn, 1994;Wilkinson, 1999). However, divided bar charts may be better when absolute values as well as proportions are important to communicate (Kosslyn, 1994).…”
Section: (B)mentioning
confidence: 99%
“…Although competence in statistical methods still remains more widespread than graphical competence, recent developments point to a revival of "graphicacy," construed as a set of crucial graphical skills analogous to literacy or numeracy (Wainer, 1980; see review in Wainer & Velleman, 2000). These developments also show that the evolving technologies of graphing are no less at home in soft-science domains than in laboratory settings (Wainer, 1997;Wilkinson, 1999). Modern graphing techniques exist for data of all levels of measurement, sample size, and dimensionality, ranging from simple univariate measures to complex multivariate data.…”
Section: Graphism For All?mentioning
confidence: 99%
“…Line graphs were found best in displaying x-y trends (Carswell, Emery, & Lonon, 1993;Shan, Mayer, & Hegarty, 1999) and supporting globalintegration processing (Carswell, 1990;Hollands & Spence, 1992). On the other hand, pie graphs are good for depicting relative proportions of the data (Simkin & Hastie, 1987;Wilkinson, 1999). Line and pie graphs were thus selected in the development of source graphs in attempts to elicit global comparisons of two graphs rather than mere descriptions of x-and y-axis and data point values.…”
Section: Tasksmentioning
confidence: 99%