2015
DOI: 10.1007/s10648-015-9339-x
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A Critical Review of Line Graphs in Behavior Analytic Journals

Abstract: Visual displays such as graphs have played an instrumental role in psychology. One discipline relies almost exclusively on graphs in both applied and basic settings, behavior analysis. The most common graphic used in behavior analysis falls under the category of time series. The line graph represents the most frequently used display for visual analysis and subsequent interpretation and communication of experimental findings. Behavior analysis, like the rest of psychology, has opted to use non-standard line gra… Show more

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Cited by 58 publications
(83 citation statements)
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References 23 publications
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“…(2020) and Kubina et al. (2017). To determine whether standardized x : y ratios were distributed normally, we computed coefficients of skewness (i.e., measure of symmetry along the center point) and kurtosis (i.e., measure of the tails of the distribution).…”
Section: Resultsmentioning
confidence: 95%
See 1 more Smart Citation
“…(2020) and Kubina et al. (2017). To determine whether standardized x : y ratios were distributed normally, we computed coefficients of skewness (i.e., measure of symmetry along the center point) and kurtosis (i.e., measure of the tails of the distribution).…”
Section: Resultsmentioning
confidence: 95%
“…A decade was chosen (i.e., 2010–2019) because, although a different sample was used, Kubina et al. (2017) stopped their search in 2011, and Ledford et al. (2019) only reviewed a 5‐year time frame (i.e., dates not specified).…”
Section: Methodsmentioning
confidence: 99%
“…A second type of change has been the development of a plethora of concrete recommendations, guidelines, and rules to aid decision making as these designs are used in applied settings. These guidelines and recommendations for quite specific facets of the single‐case designs related to assessment (e.g., Artman et al, 2012; Fiske & Delmolino, 2012), the uses of various designs (Coon & Rapp, 2018), graphing the data (Kubina et al, 2017; Ledford et al, 2019), evaluation of treatment integrity (e.g., Collier‐Meek et al, 2017), criteria for visual inspection (e.g., Lane & Gast, 2014), and what statistical analyses to use or be wary of (e.g., Manolov & Solanas, 2018; Moeyaert et al, 2017; Parker & Brossart, 2003; Shadish, 2014b), among others. At this point, there is no single set of guidelines or recommendations for any of these facets that is routinely used, widely subscribed to, or embraced as a matter of publication practice or policy.…”
Section: Single‐case Experimental Designsmentioning
confidence: 99%
“…For example, in applied single‐case research, basic information often is omitted such as exactly who the participants were (e.g., subject and demographic variables), how they were recruited, who administered the intervention, the extent of their training, whether the integrity or execution of the intervention was assessed, and key details about the data evaluation (e.g., Fryling et al, 2012; Kubina et al, 2017; Vannest et al, 2018; Tate, Perdices, Rosenkoetter, McDonald et al, 2016). Selective reporting has been identified as a problem as well.…”
Section: Single‐case Experimental Designsmentioning
confidence: 99%
“…Results of FAs influence and guide necessary treatment decisions that reduce problem behavior and increase adaptive behavior (Iwata & Dozier, 2008). Visual analysis is the primary method by which clinicians and researchers interpret and evaluate FA results (e.g., Betz & Fisher, 2011;Kubina et al, 2017). Unfortunately, interrater reliability of visual analysis is sometimes inconsistent (Lanovaz et al, 2017;Wolfe et al, 2016), especially in cases where raters may not have much experience interpreting FA results (e.g., Danov & Symons, 2008).…”
mentioning
confidence: 99%