R
coefficient of determination
goodness of fit
operant behavioral economics
root mean square error
Journal
Journal of the experimental analysis of behavior
ISSN: 1938-3711
Titre abrégé: J Exp Anal Behav
Pays: United States
ID NLM: 0203727
Informations de publication
Date de publication:
19 Aug 2024
19 Aug 2024
Historique:
received:
28
11
2023
accepted:
14
07
2024
medline:
20
8
2024
pubmed:
20
8
2024
entrez:
20
8
2024
Statut:
aheadofprint
Résumé
Literature concerning operant behavioral economics shows a strong preference for the coefficient of determination (R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Institute on Drug Abuse (NIDA) of the National Institutes of Health
ID : T32DA07209
Organisme : National Institute on Drug Abuse (NIDA) of the National Institutes of Health
ID : R03DA054098
Organisme : National Institute on Drug Abuse (NIDA) of the National Institutes of Health
ID : R01DA049814
Informations de copyright
© 2024 Society for the Experimental Analysis of Behavior.
Références
Alexander, D. L. J., Tropsha, A., & Winkler, D. A. (2015). Beware of R2: Simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models. Journal of Chemical Information and Modeling, 55(7), 1316–1322. https://doi.org/10.1021/acs.jcim.5b00206
Anscombe, F. J. (1973). Graphs in statistical analysis. The American Statistician, 27(1), 17–21. https://doi.org/10.1080/00031305.1973.10478966
Battaglia, J., & Romanowich, P. (2023). Using a social discounting task to measure differential personal information sharing. Journal of the Experimental Analysis of Behavior, 119(1), 49–58. https://doi.org/10.1002/jeab.810
Baum, W. M. (1974). On two types of deviation from the matching law: Bias and undermatching. Journal of the Experimental Analysis of Behavior, 22(1), 231–242. https://doi.org/10.1901/jeab.1974.22-231
Begum‐Diamond, Z., Neuhauser, J. E., & Cameron, K. E. (2022). Measuring ramp use in guinea pigs (Cavia porcellus). Journal of the Experimental Analysis of Behavior, 118(2), 292–301. https://doi.org/10.1002/jeab.783
Bernardy, J. L., Santiago, J. B., Siqueira, J. O., Silveira, P. S. P., deSouza, A., & Benvenuti, M. F. (2023). Rachlin's extended self: Influences on a Brazilian research group. Journal of the Experimental Analysis of Behavior, 119(1), 231–239. https://doi.org/10.1002/jeab.809
Bickel, W. K., Jarmolowicz, D. P., Mueller, E. T., & Gatchalian, K. M (2011). The behavioral economics and neuroeconomics of reinforcer pathologies: Implications for etiology and treatment of addiction. Current Psychiatry Reports, 13, 406–415. https://doi.org/10.1007/s11920-011-0215-1
Bickel, W. K., Johnson, M. W., Koffarnus, M.N., MacKillop, J., & Murphy, J. G. (2014). The behavioral economics of substance use disorders: Reinforcement pathologies and their repair. The Annual Review of Clinical Psychology, 10, 641–677. https://doi.org/10.1146/anurev-clinpsy-032813-153724
Borges, A. M., Kuang, J., Milhorn, H., & Yi, R. (2016). An alternative approach to calculating area‐under‐the‐curve (AUC) in delay discounting research. Journal of the Experimental Analysis of Behavior, 106(2), 145–155. https://doi.org/10.1002/jeab.219
Bruner, N. R., & Johnson, M. W. (2014). Demand curves for hypothetical cocaine in cocaine‐dependent individuals. Psychopharmacology, 231, 889–897. https://doi.org/10.1007/s00213-013-3312-5
Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference. Springer‐Verlag.
Calvert, A. L., Green, L., & Myerson, J. (2010). Delay discounting of qualitatively different reinforcers in rats. Journal of the Experimental Analysis of Behavior, 93(2), 171–184. https://doi.org/10.1901/jeab.2010.93-171
Cassidy, R. N., & Dallery, J. (2012). Effects of economy type and nicotine on the essential value of food in rats. Journal of the Experimental Analysis of Behavior, 97(2), 183–202. https://doi.org/10.1901/jeab.2012.97-183
Cassidy, R. N., & Dallery, J. (2014). Quantifying nicotine's value‐enhancement effect using a behavioral economic approach. Journal of the Experimental Analysis of Behavior, 102(3), 353–362. https://doi.org/10.1002/jeab.109
Chai, T., & Draxler, R. R. (2014). Root mean square error (RMSE) or mean absolute error (MAE)? Arguments against avoiding RMSE in the literature. Geoscientific Model Development, 7, 1247–1250. https://doi.org/10.5194/gmd-7-1247-2014
Critchfield, T. S., & Reed, D. D. (2009). What are we doing when we translate from quantitative models? The Behavior Analyst, 32(2), 339–352. https://doi.org/10.1007/BF03392197
DeHart, W. B., Friedel, J. E., Frye, C. C. J., Galizio, A., & Odum, A. L. (2018). The effects of outcome unit framing on delay discounting. Journal of the Experimental Analysis of Behavior, 110(3), 412–429. https://doi.org/10.1002/jeab.469
DeHart, W. B., & Kaplan, B. K. (2019). Appling mixed‐effects modeling to single‐subject designs: An introduction. Journal of the Experimental Analysis of Behavior, 111(2), 192–206. https://doi.org/10.1002/jeab.507
DeHart, W. B., & Odum, A. L. (2015). The effects of the framing of time on delay discounting. Journal of the Experimental Analysis of Behavior, 103(1), 10–21. https://doi.org/10.1002/jeab.125
Dennhardt, A. A., Yurasek, A. M., & Murphy, J. E. (2015). Change in delay discounting and substance reward value following a brief alcohol and drug use intervention. Journal of the Experimental Analysis of Behavior, 103(1), 125–140. https://doi.org/10.1002/jeab.121
Diller, J. W., Patros, C. H. G., & Prentice, P. R. (2011). Temporal discounting and heart rate reactivity to stress. Behavioural Processes, 87(3), 306–309. https://doi.org/10.1016/j.beproc.2011.05.001
Dyson, F. (2004). A meeting with Enrico Fermi. Nature, 427, Article 297. https://doi.org/10.1038/427297a
Estle, S. J., Green, L., Myerson, J., & Yeh, Y. (2023). Discounting of outcomes in which immediate gains are followed by delayed losses. Journal of the Experimental Analysis of Behavior, 119(1), 36–48. https://doi.org/10.1002/jeab.813
Franck, C. T., Koffarnus, M. N., House, L. L., & Bickel, W. K. (2015). Accurate characterization of delay discounting: A multiple model approach using approximate Bayesian model selection and a unified discounting measure. Journal of the Experimental Analysis of Behavior, 103(1), 218–233. https://doi.org/10.1002/jeab.128
Franck, C. T., Koffarnus, M. N., McKerchar, T. L., & Bickel, W. K. (2019). An overview of Bayesian reasoning in the analysis of delay‐discounting data. Journal of the Experimental Analysis of Behavior, 111(2), 239–251. https://doi.org/10.1002/jeab.504
Franck, C. T., Traxler, H. K., Kaplan, B. A., Koffarnus, M. N., & Rzeszutek, M. J. (2023). A tribute to Howard Rachlin and his two‐parameter discounting model: Reliable and flexible model fitting. Journal of the Experimental Analysis of Behavior, 119(1), 156–168. https://doi.org/10.1002/jeab.820
Forster, M. R. (2000). Key concepts in model selection: Performance and generalizability. Journal of Mathematical Psychology, 44(1), 205–231. https://doi.org/10.1006/jmps.1999.1284
Foster, T. M., Kinloch, J., & Poling, A. (2011). The effects of session length on demand functions generated using FR schedules. Journal of the Experimental Analysis of Behavior, 95(3), 289–304. https://doi.org/10.1901/jeab.2011.95-289
Foster, T. M., Sumpter, C. E., Temple, W., Flevill, A., & Poling, A. (2009). Demand equations for qualitatively different foods under fixed‐ratio schedules: A comparison of three data conversions. Journal of the Experimental Analysis of Behavior, 92(3), 305–326. https://doi.org/10.1901/jeab.2009.92-305
Gilroy, S. P. (2022). Hidden equivalence in the operant demand framework: A review and evaluation of multiple methods for evaluating nonconsumption. Journal of the Experimental Analysis of Behavior, 117(1), 105–119. https://doi.org/10.1002/jeab.724
Gilroy, S. P., & Feck, C. C. (2022). Applications of operant demand to treatment selection II: Covariance of evidence strength and treatment consumption. Journal of the Experimental Analysis of Behavior, 117(2), 167–179. https://doi.org/10.1002/jeab.735
Gilroy, S. P., Franck, C. T., & Hantula, D. A. (2017). The discounting model selector: Statistical software for delay discounting applications. Journal of the Experimental Analysis of Behavior, 107(3), 388–401. https://doi.org/10.1002/jeab.257
Gilroy, S. P., & Hantula, D. A. (2018). Discounting model selection with area‐based measures: A case for numerical integration. Journal of the Experimental Analysis of Behavior, 109(2), 433–449. https://doi.org/10.1002/jeab.318
Gilroy, S. P., Kaplan, B. A., Reed, D. D., Koffarnus, M. N., & Hantula, D. A. (2018). The demand curve analyzer: Behavioral economic software for applied research. Journal of the Experimental Analysis of Behavior, 110(3), 553–568. https://doi.org/10.1002/jeab.479
Gilroy, S. P., Kaplan, B. A., Schwartz, L. P., Reed, D. D., & Hursh, S. R. (2021). A zero‐bounded model of operant demand. Journal of the Experimental Analysis of Behavior, 115(3), 729–746. https://doi.org/10.1002/jeab.679
Gilroy, S. P., & Picardo, R. (2022). Applications of operant demand to treatment selection III: Consumer behavior analysis of treatment choice. Journal of the Experimental Analysis of Behavior, 118(1), 46–58. https://doi.org/10.1002/jeab.758
Gilroy, S. P., Waits, J. A., & Kaplan, B. A. (2022). Applications of operant demand to treatment selection I: Characterizing demand for evidence‐based practices. Journal of the Experimental Analysis of Behavior, 117(1), 20–35. https://doi.org/10.1002/jeab.731
Green, L., Myerson, J., & Calvert, A. L. (2010). Pigeons' discounting of probabilistic and delayed reinforcers. Journal of the Experimental Analysis of Behavior, 94(2), 113–123. https://doi.org/10.1901/jeab.2010.94-113
Green, L., Myerson, J., Oliveira, L., & Chung, S. E. (2013). Delay discounting of monetary rewards over a wide range of amounts. Journal of the Experimental Analysis of Behavior, 100(3), 269–281. https://doi.org/10.1002/jeab.45
Green, L., Myerson, J., Oliveira, L., & Chung, S. E. (2014). Discounting of delayed rewards and probabilistic losses over a wide range of amounts. Journal of the Experimental Analysis of Behavior, 101(2), 186–200. https://doi.org/10.1002/jeab.56
Greenhow, A. K., Hunt, M. J., Macaskill, A. C., & Harper, D. N. (2015). The effect of reinforcer magnitude on probability and delay discounting of experienced outcomes in a computer game task in humans. Journal of the Experimental Analysis of Behavior, 104(2), 186–197. https://doi.org/10.1002/jeab.166
Harsin, J. D., Gelino, B. W., Strickland, J. C., Johnson, M. W., Berry, M. S., & Reed, D. D. (2021). Behavioral economics and safe sex: Examining condom use decisions from a reinforcer pathology framework. Journal of the Experimental Analysis of Behavior, 116(2), 149–165. https://doi.org/10.1002/jeab.706
Hayashi, Y., Fessler, H. J., Friedel, J. E., Foreman, A. M., & Wirth, O. (2018). The roles of delay and probability discounting in texting while driving: Toward the development of a translational scientific program. Journal of the Experimental Analysis of Behavior, 110(2), 229–242. https://doi.org/10.1002/jeab.460
Hayashi, Y., Fisher, N. M., Hantula, D. A., Furman, L., & Washio, Y. (2022). A behavioral economic demand analysis of mothers' decision to exclusively breastfeed in the workplace. Journal of the Experimental Analysis of Behavior, 118(1), 132–147. https://doi.org/10.1002/jeab.772
Hayashi, Y., Friedel, J. E., Foreman, A. M., & Wirth, O. (2019). A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach. Journal of the Experimental Analysis of Behavior, 112(3), 273–289. https://doi.org/10.1002/jeab.554
Henley, A. J., DiGennaro Reed, F. D., Reed, D. D., & Kaplan, B. A. (2016). A crowdsourced nickel‐and‐dime approach to analog OBM research: A behavioral economic framework for understanding workforce attrition. Journal of the Experimental Analysis of Behavior, 106(2), 134–144.://doi.org/https://doi.org/10.1002/jeab.220
Herrnstein, R. J. (1964). Secondary reinforcement and rate of primary reinforcement. Journal of the Experimental Analysis of Behavior, 7(1), 27–36. https://doi.org/10.1901/jeab.1964.7-27
Herrnstein, R. J. (1970). On the law of effect. Journal of the Experimental Analysis of Behavior, 13(2), 243–266. https://doi.org/10.1901/jeab.1970.13-243
Higgins, S. T., Reed, D. D., Redner, R., Skelly, J. M., Zvorsky, I A., & Kurti, A. N. (2017). Simulating demand for cigarettes among pregnant women: A low‐risk method for studying vulnerable populations. Journal of the Experimental Analysis of Behavior, 107(1), 176–190. https://doi.org/10.1002/jeab.232
Hodson, T. O. (2022). Root‐mean‐square error (RMSE) or mean absolute error (MAE): When to use them or not. Geoscientific Model Development, 15(14), 5481–5487. https://doi.org/10.5194/gmd-15-5481-2022
Holt, D. D., & Wolf, M. R. (2019). Delay discounting in the pigeon: In search of a magnitude effect. Journal of the Experimental Analysis of Behavior, 111(3), 436–448. https://doi.org/10.1002/jeab.515
Holt, D. D., Wolf, M. R., & Skytta, R. D. (2018). Towards validation of delay discounting in the pigeon. Journal of the Experimental Analysis of Behavior, 110(3), 394–411. https://doi.org/10.1002/jeab.470
Hursh, S. R. (1980). Economic concepts for the analysis of behavior. Journal of the Experimental Analysis of Behavior, 34(2), 219–238. https://doi.org/10.1901/jeab.1980.34-219
Hursh, S. R. (1984). Behavioral economics. Journal of the Experimental Analysis of Behavior, 42(3), 435–452. https://doi.org/10.1901/jeab.1984.42-435
Hursh, S. R., & Silberberg, A. (2008). Economic demand and essential value. Psychological Review, 115(1), 186–198. https://doi.org/10.1037/0033-295X.115.1.186
Hursh, S. R., & Roma, P. G. (2013). Behavioral economics and empirical public policy. Journal of the Experimental Analysis of Behavior, 99(1), 98–124. https://doi.org/10.1002/jeab.7
Jarmolowicz, D. P. (2018). EAB is fine, thanks for asking. Behavior Analysis: Research and Practice, 18(2), 169–173. https://doi.org/10.1037/bar0000116
Jarmolowicz, D. P., Greer, B. D., Killeen, P. R., & Huskinson, S. L. (2021). Applied quantitative analysis of behavior: What it is, and why we care—introduction to the special section. Perspectives on Behavior Science, 44, 503–516. https://doi.org/10.1007/s40614-021-00323-w
Jarmolowicz, D. P., Reed, D. D., Francisco, A. J., Bruce, J. M., Lemley, S. M., & Bruce, A. S. (2018). Modeling effects of risk and social distance on vaccination choice. Journal of the Experimental Analysis of Behavior, 110(1), 39–53. https://doi.org/10.1002/jeab.438
Jarmolowicz, D. P., Schneider, T. D., Strickland, J. C., Bruce, A. S., Reed, D. D., & Bruce, J. M. (2023). Reinforcer pathology, probabilistic choice, and medication adherence in patients with multiple sclerosis. Journal of the Experimental Analysis of Behavior, 119(2), 275–285. https://doi.org/10.1002/jeab.830
Johnson, M. W. (2012). An efficient operant choice procedure for assessing delay discounting in humans: Initial validation in cocaine‐dependent and control individuals. Experimental and Clinical Psychopharmacology, 20(3), 191–204. https://doi.org/10.1037/a0027088
Johnson, M. W., & Bickel, W. K. (2002). Within‐subject comparison of real and hypothetical money rewards in delay discounting. Journal of the Experimental Analysis of Behavior, 77(2), 129–146. https://doi.org/10.1901/jeab.2002.77-129
Johnson, M. W., & Bickel, W. K. (2008). An algorithm for identifying nonsystematic delay‐discounting data. Experimental and Clinical Psychopharmacology, 16(3), 264–274. https://doi.org/10.1037/1064-1297.16.3.264
Johnson, M. W., & Bruner, N. R. (2012). The Sexual Discounting Task: HIV risk behavior and the discounting of delayed sexual rewards in cocaine dependence. Drug and Alcohol Dependence, 123(1–3), 15–21. https://doi.org/10.1016/j.drugalcdep.2011.09.032
Johnson, M. W., Bruner, N. R., & Johnson, P. S. (2015). Cocaine dependent individuals discount future rewards more than future losses for both cocaine and monetary outcomes. Addictive Behaviors, 40, 132–136. https://doi.org/10.1016/j.addbeh.2014.08.011
Johnson, M. W., Strickland, J. C., Herrman, E. S., Dolan, S. B., Cox, D. J., & Berry, M. S. (2021). Sexual discounting: A systematic review of discounting processes and sexual behavior. Experimental and Clinical Psychopharmacology, 29(6), 711–738. https://doi.org/10.1037/pha0000402
Johnson, P. S., Herrman, E. S., & Johnson, M. W. (2015). Opportunity costs of reward delays and the discounting of hypothetical money and cigarettes. Journal of the Experimental Analysis of Behavior, 103(1), 87–107. https://doi.org/10.1002/jeab.110
Jones, B. A., & Rachlin, H. (2009). Delay, probability, and social discounting in a public goods game. Journal of the Experimental Analysis of Behavior, 91(1), 61–73. https://doi.org/10.1901/jeab.2009.91-61
Kaplan, B. A., Franck, C. T., McKee, K., Gilroy, S. P., & Koffarnus, M. N. (2021). Applying mixed‐effects modeling to behavioral economic demand: An introduction. Perspectives on Behavior Science, 44, 333–358. https://doi.org/10.1007/s40614-021-00299-7
Killeen, P. R. (2015). The arithmetic of discounting. Journal of the Experimental Analysis of Behavior, 103(1), 249–259. https://doi.org/10.1002/jeab.130
Killeen, P. R. (2019). Bidding for delayed rewards: Accumulation as delay discounting, delay discounting as regulation, demand functions as corollary. Journal of the Experimental Analysis of Behavior, 112(2), 111–127. https://doi.org/10.1002/jeab.545
Killeen, P. R. (2020). Addendum to Killeen's (2019) Bidding for delayed rewards. Journal of the Experimental Analysis of Behavior, 113(3), 680–689. https://doi.org/10.1002/jeab.600
Killeen, P. R. (2023). Variations on a theme by Rachlin: Probability discounting. Journal of the Experimental Analysis of Behavior, 119(1), 140–155. https://doi.org/10.1002/jeab.817
Killeen, P. R., & Nevin, J. A. (2018). The basis of behavioral momentum in the nonlinearity of strength. Journal of the Experimental Analysis of Behavior, 109(1), 4–32. https://doi.org/10.1002/jeab.304
Kirby, K. N., & Santiesteban, M. (2003). Concave utility, transaction costs, and risk in measuring discounting of delayed rewards. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29(1), 66–78. https://doi.org/10.1037/0278-7393.29.1.66
Koffarnus, M. N., Franck, C. T., Stein, J. S., & Bickel, W. K. (2015). A modified exponential behavioral economic demand model to better describe consumption data. Experimental and Clinical Psychopharmacology, 23(6), 504–512. https://doi.org/10.1037/pha0000045
MacCorquodale, K., & Meehl, P. E. (1948). On a distinction between hypothetical constructs and intervening variables. Psychological Review, 55(2), 95–107. https://doi.org/10.1037/h0056029
Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In M. L. Commons, J. E. Mazur, J. A. Nevin, & H. Rachlin (Eds.), Quantitative analysis of behavior: Volume 5. The effect of delay and intervening events on reinforcement value (pp. 55–74). Erlbaum.
McKerchar, T. L., & Mazur, J. E. (2016). Human choices between variable and fixed rewards in hypothetical variable‐delay and double‐reward discounting procedures. Journal of the Experimental Analysis of Behavior, 106(1), 1–21. https://doi.org/10.1002/jeab.214
McKerchar, T. L., & Mazur, J. E. (2019). Tests of an indifference rule in variable‐delay and double‐reward procedures with humans. Journal of the Experimental Analysis of Behavior, 111(3), 387–404. https://doi.org/10.1002/jeab.521
McKerchar, T. L., & Mazur, J. E. (2023). Consumer choices with variations in item price, delay, and opportunity cost. Journal of the Experimental Analysis of Behavior, 119(1), 25–35. https://doi.org/10.1002/jeab.806
Minervini, V., Rowland, N. E., Robertson, K. L., & Foster, T. C. (2015). Role of estrogen receptor‐α on food demand elasticity. Journal of the Experimental Analysis of Behavior, 103(3), 553–561. https://doi.org/10.1002/jeab.149
Motulsky, H. J., & Christopoulos, A. (2003). Fitting models to biological data using linear and nonlinear regression: A practical guide to curve fitting. GraphPad Software, Inc.
Myerson, J., & Green, L. (1995). Discounting of delayed rewards: Models of individual choice. Journal of the Experimental Analysis of Behavior, 64(3), 263–276. https://doi.org/10.1901/jeab.1995.64-263
Myerson, J., Green, L., & Morris, J. (2011). Modeling the effect of reward amount on probability discounting. Journal of the Experimental Analysis of Behavior, 95(2), 175–187. https://doi.org/10.1901/jeab.2011.95-175
Myerson, J., Green, L., & Warusawitharana, M. (2001). Area under the curve as a measure of discounting. Journal of the Experimental Analysis of Behavior, 76(2), 235–243. https://doi.org/10.1901/jeab.2001.76-235
Naudé, G.P., Strickland, J.C., Berry, M.S, Dolan, S.B., Cox, D.J., & Johnson, M.W. (2024). Experience with reduced‐nicotine cigarettes and whether this decreases smoking and substitution for full‐nicotine cigarettes [Manuscript submitted for publication]. Journal of the Experimental Analysis of Behavior.
Nighbor, T. D., Zvorsky, I., Kurti, A. N., Skelly, J. M., Bickel, W. K., Reed, D. D., Naudé, G. P., & Higgins, S. T. (2019). Examining interrelationships between the Cigarette Purchase Task and delay discounting among pregnant women. Journal of the Experimental Analysis of Behavior, 111(3), 405–415. https://doi.org/10.1002/jeab.499
Odum, A. L. (2011). Delay discounting: I'm a k, you're a k. Journal of the Experimental Analysis of Behavior, 96(3), 427–439. https://doi.org/10.1901/jeab.2011.96-423
Oliveira, L., Green, L., & Myerson, J. (2014). Pigeons' delay discounting functions established using a concurrent‐chains procedure. Journal of the Experimental Analysis of Behavior, 102(2), 151–161. https://doi.org/10.1002/jeab.97
Owens, M. M., Ray, L. A., & MacKillop, R. (2015). Behavioral economic analysis of stress effects on acute motivation for alcohol. Journal of the Experimental Analysis of Behavior, 103(1), 77–86. https://doi.org/10.1002/jeab.114
Pitt, M. A., & Myung, I. J. (2002). When a good fit can be bad. Trends in Cognitive Sciences, 6(10), 421–425. https://doi.org/10.1016/S1364-6613(02)01964-2
Rachlin, H. (2006). Notes on discounting. Journal of the Experimental Analysis of Behavior, 85(3), 425–435. https://doi.org/10.1901/jeab.2006.85-05
Rachlin, H., & Green, L. (1972). Commitment, choice and self‐control. Journal of the Experimental Analysis of Behavior, 17(1), 15–22. https://doi.org/10.1901/jeab.1972.17-15
Rachlin, H., Raineri, A., & Cross, D. (1991). Subjective probability and delay. Journal of the Experimental Analysis of Behavior, 55(2), 233–244. https://doi.org/10.1901/jeab.1991.55-233
Radu, P. T., Yi, R., Bickel, W. K., Gross, J. J., & McClure, S. M. (2011). A mechanism for reducing delay discounting by altering temporal attention. Journal of the Experimental Analysis of Behavior, 96(3), 363–385. https://doi.org/10.1901/jeab.2011.96-363
Raineri, A., Kausel, E., Jin, Z., & Chamorro, N. (2023). Cultural differences in intertemporal decision making: A comparison between Chile and China. Journal of the Experimental Analysis of Behavior. Advance online publication. https://doi.org/10.1002/jeab.859
Ratkowsky, D. A. (1990). Handbook of nonlinear regression models. Marcel Dekker, Inc.
Reed, D. D., Kaplan, B. A., Becirevic, A., Roma, P. G., & Hursh, S. R. (2016). Toward quantifying the abuse liability of ultraviolet indoor tanning: A behavioral economic approach to tanning addiction. Journal of the Experimental Analysis of Behavior, 106(1), 93–106. https://doi.org/10.1002/jeab.216
Reyes‐Huerta, H. E., & dosSantos, C. V. (2016). The absence of numbers to express the amount may affect delay discounting with humans. Journal of the Experimental Analysis of Behavior, 106(2), 117–133. https://doi.org/10.1002/jeab.218
Reyes‐Huerta, H. E., Robles, E., & dosSantos, C. V. (2022). Valuing the future at different temporal points: The role of time framing on discounting. Journal of the Experimental Analysis of Behavior, 120(2), 214–227. 10.1002/jeab.871
Richards, J. B., Zhang, L., Mitchell, S. H., & deWit, H. (1999). Delay or probability discounting in a model of impulsive choice: Effect of alcohol. Journal of the Experimental Analysis of Behavior, 71(2), 121–143. 10.1901/jeab.1999.71-121
Roewer, I., Wiehler, A., & Peters, J. (2015). Nicotine deprivation, temporal discounting and choice consistency in heavy smokers. Journal of the Experimental Analysis of Behavior, 103(1), 62–76. 10.1002/jeab.134
Roma, P. G., Hursh, S. R., & Hudja, S. (2016). Hypothetical purchase task questionnaires for behavioral economic assessments of value and motivation. Managerial and Decision Economics, 37, 306–323. 10.1002/mde.2718
Rung, J. M., Argyle, T. M., Siri, J. L., & Madden, G. J. (2018). Choosing the right delay‐discounting task: Completion times and rates of nonsystematic data. Behavioural Processes, 151, 119–125. 10.1016/j.beproc.2018.03.022
Rung, J. M., Frye, C. C. J., DeHart, W. B., & Odum, A. L. (2019). Evaluating the effect of delay spacing on delay discounting: Carry‐over effects on steepness and the form of the discounting function. Journal of the Experimental Analysis of Behavior, 112(3), 254–272. 10.1002/jeab.556
Rzeszutek, M. J., DeFulio, A., Brown, H. D., & São Mateus, C. C. (2023). Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples. Journal of the Experimental Analysis of Behavior, 119(2), 300–323. 10.1002/jeab.824
Rzeszutek, M. J., Kaplan, B. A., Traxler, H. K., Franck, C. T., & Koffarnus, M. N. (2023). Hyperbolic discounting and exponential demand: Modeling demand for cigarettes in three dimensions. Journal of the Experimental Analysis of Behavior, 119(1), 169–191. 10.1002/jeab.818
Safin, V., & Rachlin, H. (2020). A ratio scale for social distance. Journal of the Experimental Analysis of Behavior, 114(1), 72–86. 10.1002/jeab.614
Schwartz, L. P., Silberberg, A., & Hursh, S. R. (2021). Purchase task sensitivity to drug and nondrug reinforcers in opioid‐agonist treatment patients. Journal of the Experimental Analysis of Behavior, 115(3), 717–728. 10.1002/jeab.681
Shead, N. W., & Hodgins, D. C. (2009). Probability discounting of gains and losses: Implications for risk attitudes and impulsivity. Journal of the Experimental Analysis of Behavior, 92(1), 1–16. 10.1901/jeab.2009.92-1
Simpson, C. A., & Vuchinich, R. E. (2000). Reliability of a measure of temporal discounting. The Psychological Record, 50(1), 3–16. 10.1007/BF03395339
Spiess, A. N., & Neumeyer, N. (2010). An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: A Monte Carlo approach. BMC Pharmacology, 10(6), 1–11. 10.1186/1471-2210-10-6
Stancato, S. S., Schneider, T. D., Reed, D. D., Lemley, S. M., Carrillo, A., & Jarmolowicz, D. P. (2020). Reinforcer pathology II: Reward magnitude, reward delay, and demand for alcohol collectively relate to college students' alcohol related problems. Journal of the Experimental Analysis of Behavior, 114(3), 354–367. 10.1002/jeab.635
Stein, J. S., Koffarnus, M. N., Snider, S. E., Quisenberry, A. J., & Bickel, W. K. (2015). Identification and management of nonsystematic purchase task data: Toward best practice. Experimental and Clinical Psychopharmacology, 23(5), 377–386. 10.1037/pha0000020
Stein, J. S., Pinkston, J. W., Brewer, A. T., Francisco, M. T., & Madden, G. J. (2012). Delay discounting in Lewis and Fischer 344 rats: Steady‐state and rapid‐determination adjusting‐amount procedures. Journal of the Experimental Analysis of Behavior, 97(3), 305–321. 10.1901/jeab.2012.97-305
Stein, J. S., Smits, R. R., Johnson, P. S., Liston, K. J., & Madden, G. J. (2013). Effects of reward bundling on male rats' preference for larger‐later food rewards. Journal of the Experimental Analysis of Behavior, 99(2), 150–158. 10.1002/jeab.11
Strickland, J. C., Bolin, B. L., & Marks, K. R. (2022). (Non‐) impact of task experience on behavioral economic decision‐making. Experimental and Clinical Psychopharmacology, 30(3), 338–350. 10.1037/pha0000438
Strickland, J. C., Marks, K. R., & Bolin, B. L. (2020). The condom purchase task: A hypothetical demand method for evaluating sexual health decision‐making. Journal of the Experimental Analysis of Behavior, 113(2), 435–448. 10.1002/jeab.585
Tan, L., & Hackenberg, T. D. (2015). Pigeons' demand and preference for specific and generalized conditioned reinforcers in a token economy. Journal of the Experimental Analysis of Behavior, 104(3), 296–314. 10.1002/jeab.181
van denBos, W., & McClure, S. M. (2013). Towards a general model of temporal discounting. Journal of the Experimental Analysis of Behavior, 99(1), 58–73. 10.1002/jeab.6
Wade‐Galuska, T., Galuska, C. M., & Winger, G. (2011). Effects of daily morphine administration and deprivation on choice and demand for remifentanil and cocaine in rhesus monkeys. Journal of the Experimental Analysis of Behavior, 95(1), 75–89. 10.1901/jeab.2011.95-75
Willmott, C. J., Matsuura, K., & Robeson, S. M. (2009). Ambiguities inherent in sums‐of‐squares‐based error statistics. Atmospheric Environment, 43, 749–752. 10.1016/j.atmosenv.2008.10.005
Young, M. E. (2018). Discounting: A practical guide to multilevel analysis of choice data. Journal of the Experimental Analysis of Behavior, 109(2), 293–312. 10.1002/jeab.316
Zhao, T., Luo, X., Chu, H., Le, C. T., Epstein, L. H., & Thomas, J. L. (2016). A two‐part mixed effects model for cigarette purchase task data. Journal of the Experimental Analysis of Behavior, 106(3), 242–253. 10.1002/jeab.228
Zucchini, W. (2000). An introduction to model selection. Journal of Mathematical Psychology, 44, 41–61. 10.1006/jmps.1999.1276