The R package beezdemand: Behavioral Economic Easy Demand

Kaplan, Brent A.; Gilroy, Shawn P.; Reed, Derek D.; Koffarnus, Mikhail N.; Hursh, Steven R.

doi:10.1007/s40614-018-00187-7

Cited by 63 publications

(75 citation statements)

References 81 publications

(91 reference statements)

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“…For example, Perspectives on Behavior Science allows authors to archive online material (Hantula, 2016a(Hantula, , 2016b, including data protocols and software. Recent issues have included shared software (Bullock, Fisher, & Hagopian, 2017;Kaplan, Gilroy & Hursh, 2018) and video (Deochand, Costello, & Deochand, 2018). Other examples include publications that share software and protocols on public access platforms such as GitHub (e.g., Gilroy, Franck, & Hantula, 2017;Gilroy, Kaplan, Reed, Koffarnus, & Hantula, 2018).…”

Section: Encourage Open Sharing Of Research Protocols Software and mentioning

confidence: 99%

Replication Research, Publication Bias, and Applied Behavior Analysis

Tincani

Travers

2019

Perspect Behav Sci

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The "replication crisis" describes recent difficulties in replicating studies in various scientific fields, most notably psychology. The available evidence primarily documents replication failures for group research designs. However, we argue that contingencies of publication bias that led to the "replication crisis" also operate on applied behavior analysis (ABA) researchers who use single-case research designs (SCRD). This bias strongly favors publication of SCRD studies that show strong experimental effect, and disfavors publication of studies that show less robust effect. The resulting research literature may unjustifiably inflate confidence about intervention effects, limit researchers' ability to delineate intervention boundary conditions, and diminish the credibility of our science. To counter problems of publication bias in ABA, we recommend that journals that publish SCRD research establish journal standards for publication of noneffect studies; that our research community adopt open sharing of SCRD protocols and data; and that members of our community routinely publish systematic literature reviews that include gray (i.e., unpublished) research.

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Section: Encourage Open Sharing Of Research Protocols Software and mentioning

confidence: 99%

Replication Research, Publication Bias, and Applied Behavior Analysis

Tincani

Travers

2019

Perspect Behav Sci

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“…The exponentiated equation was used to fit demand curves due to its ability to accommodate 0 values (Koffarnus et al, 2015). APT outcomes were derived in R using the Beezdemand package (Kaplan et al, 2019). We examined 5 outcome measures: (i) derived intensity of demand, (ii) alpha/ elasticity of demand, (iii) observed O Max , (iv) observed P Max , and (v) breakpoint, defined in this study as the highest price where there is any alcohol consumption.…”

Section: Methodsmentioning

confidence: 99%

The Effects of Anger on Alcohol Demand and Subjective Alcohol Craving

Ellis

Grekin

2021

Alcoholism Clin & Exp Res

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Background Anger and anger‐related traits have been related to alcohol use in both cross‐sectional and prospective studies. However, only a small number of studies have experimentally manipulated anger to examine whether the manipulation of anger influences alcohol craving or the relative reinforcing value of alcohol. Methods Participants (N = 231) recruited through Amazon’s MTurk were randomly assigned to a provocation condition or a neutral condition prior to completing both the Alcohol Purchase Task and a self‐report measure of alcohol craving. Linear regression analyses were conducted to examine the effects of the anger induction, trait hostility, frequency of alcohol use in the past month, and relevant demographic characteristics (gender, age, income) on alcohol craving and indices of alcohol demand. Results Participants assigned to the provocation condition had greater PMax (B = 0.17, p = 0.012) and breakpoint (B = 0.18, p = 0.006) values, less elastic demand (B = −0.15, p = 0.020), and lower drinking intensity (B = −0.14, p = 0.025) than participants assigned to the neutral condition. Trait hostility was positively related to OMax (B = 0.22, p = 0.001), intensity of demand (B = 0.27, p < 0.001), and subjective alcohol craving posttask (B = 0.32, p < 0.001), but did not moderate the relationship between condition and outcomes. Conclusions Although most persistence indices of alcohol demand were sensitive to the anger induction, we did not observe higher scores on amplitude indices or subjective craving in the provocation condition relative to the neutral condition. Further investigation into the role which anger plays in alcohol use is warranted.

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“…Once entered, relevant data are selected using “point‐and‐click” interactions that do not require programming to perform. For an R‐based package (requiring programming) for conducting behavioral economic demand curve analyses, we encourage the readers to consult Kaplan, Gilroy, Reed, Koffarnus, and Hursh (in press).…”

Section: Methodsmentioning

confidence: 99%

The Demand Curve Analyzer: Behavioral economic software for applied research

Gilroy

Kaplan

Reed

et al. 2018

J Exper Analysis Behavior

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Free and open‐source software for applying models of operant demand called the Demand Curve Analyzer (DCA) was developed and systematically evaluated for use in research. The software was constructed to streamline the use of recommended screening measures, prepare suitable scaling parameters, fit one of several models of operant demand, and provide publication‐quality figures. The DCA allows users to easily import price and consumption data into spreadsheet‐based controls and to perform statistical modeling with the aid of a graphical user interface. The results from computer simulations and reanalyses of published study data indicated that the DCA provides results consistent with commercially available software that has been traditionally used to apply these analyses (i.e., GraphPadTM Prism). Further, the DCA provides additional functionality that other statistical packages do not include. Practical issues and future directions related to the determination of scaling parameter k, screening for nonsystematic data, and the incorporation of more advanced behavioral economic methods are also discussed.

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The R package beezdemand: Behavioral Economic Easy Demand

Cited by 63 publications

References 81 publications

Replication Research, Publication Bias, and Applied Behavior Analysis

Replication Research, Publication Bias, and Applied Behavior Analysis

The Effects of Anger on Alcohol Demand and Subjective Alcohol Craving

The Demand Curve Analyzer: Behavioral economic software for applied research

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