In the U.S., marijuana is the most commonly used illicit drug. Its prevalence is growing, particularly among young adults. Behavioral economic indices of the relative reinforcing efficacy (RRE) of substances have been used to examine the appeal of licit (e.g., alcohol) and illicit (e.g., heroin) drugs. The present study is the first to use an experimental, simulated purchasing task to examine the RRE of marijuana. Young-adult (M age = 21.64 years) recreational marijuana users (N = 59) completed a computerized marijuana purchasing task designed to generate demand curves and the related RRE indices (e.g., intensity of demand - purchases at lowest price; Omax - max. spent on marijuana; Pmax - price at which marijuana expenditure is max). Participants “purchased” high-grade marijuana across 16 escalating prices that ranged from $0/free to $160/joint. They also provided 2-weeks of real-time, ecological momentary assessment reports on their marijuana use. The purchasing task generated multiple RRE indices. Consistent with research on other substances, the demand for marijuana was inelastic at lower prices but became elastic at higher prices, suggesting that increases in the price of marijuana could lessen its use. In regression analyses, the intensity of demand, Omax and Pmax, and elasticity each accounted for significant variance in real-time marijuana use. These results provide support for the validity of a simulated marijuana purchasing task to examine its reinforcing efficacy. This study highlights the value of applying a behavioral economic framework to young-adult marijuana use and has implications for prevention, treatment, and policies to regulate marijuana use.
Behavioral economic demand curves (Hursh, Raslear, Shurtleff, Bauman, & Simmons, 1988) are innovative approaches to characterize the relationships between consumption of a substance and its price. In this article, we investigate common analytical issues in the use of behavioral economic demand curves, which can cause inconsistent interpretations of demand curves, and then we provide methodological suggestions to address those analytical issues. We first demonstrate that log transformation with different added values for handling zeros changes model parameter estimates dramatically. Second, demand curves are often analyzed using an overparameterized model that results in an inefficient use of the available data and a lack of assessment of the variability among individuals. To address these issues, we apply a nonlinear mixed effects model based on multivariate error structures that has not been used previously to analyze behavioral economic demand curves in the literature. We also propose analytical formulas for the relevant standard errors of derived values such as P max, O max, and elasticity. The proposed model stabilizes the derived values regardless of using different added increments and provides substantially smaller standard errors. We illustrate the data analysis procedure using data from a relative reinforcement efficacy study of simulated marijuana purchasing.
Background Given the growing legalization of recreational marijuana use and related increase in its prevalence in the United States, it is important to understand marijuana's appeal. We used a behavioral economic (BE) approach to examine whether the reinforcing properties of marijuana, including “demand” for marijuana, varied as a function of its perceived quality. Methods Using an innovative, Web-based marijuana purchase task (MPT), a sample of 683 young-adult recreational marijuana users made hypothetical purchases of marijuana across three qualities (low, mid and high grade) at nine escalating prices per joint, ranging from $0/free to $20. Results We used nonlinear mixed effects modeling to conduct demand curve analyses, which produced separate demand indices (e.g., Pmax, elasticity) for each grade of marijuana. Consistent with previous research, as the price of marijuana increased, marijuana users reduced their purchasing. Demand also was sensitive to quality, with users willing to pay more for higher quality/grade marijuana. In regression analyses, demand indices accounted for significant variance in typical marijuana use. Conclusions This study illustrates the value of applying BE theory to young adult marijuana use. It extends past research by examining how perceived quality affects demand for marijuana and provides support for the validity of a Web-based MPT to examine the appeal of marijuana. Our results have implications for policies to regulate marijuana use, including taxation based on the quality of different marijuana products.
Based on the theory of reasoned action (TRA; Fishbein & Ajzen, 1975), we hypothesized that young women's career intentions would be predicted by their genderrole attitudes and perceptions of their boyfriends' and parents' career-related preferences for them. Career intention was expected to predict future career behavior. The model was tested using longitudinal data from 105 women studied in 1973 and followed up 14 years later in 1987. Data were analyzed using structural equation modeling. Results supported the TRA: women's gender-role attitudes and their perceptions of important others' preferences predicted their career intentions, which predicted career behavior 14 years later. Implications for the study of women's careers and the longitudinal application of the TRA are discussed.In the 1970s and early 1980s, researchers began to examine the nature of women's career development. Traditional societal norms had dictated an emphasis on marriage and child rearing for young women, but new changes in social attitudes broadened women's role options. Researchers began to find enormous variability in young women's career motivation (Almquist & Angrist, 197 1). Why, researchers asked, were some young women more strongly motivated to pursue a career than were others? Why were some young women less interested in a career and more interested in getting married and raising children?Career orientation has often been defined as the centrality of a career in a person's life (Illfelder, 1980) or as the importance a person attaches to a career, 'This study was submitted by the senior author in partial fulfillment ofthe requirements for the degree of
Malt liquor (ML) is a cheap, high alcohol content beverage that is marketed to appeal to young adults. Findings from the few published studies of ML use suggest that it may be associated with excessive drinking, alcohol problems, and the use of illicit drugs. The authors conducted separate hierarchical multiple regressions to examine the role of ML use and psychosocial variables (e.g., personality, ML motives) in alcohol-related problems and marijuana use. Demographic characteristics served as controls. The sample consisted of 639 (456 men, 183 women) young adults (M = 22.9 years, SD = 4.2) who regularly (> or =40 oz/week) consumed ML. ML use significantly and positively predicted alcohol problems, ML-specific problems, and marijuana use, above and beyond their associations with typical alcohol use. Marijuana was the illicit drug of choice, and 46% reported concurrent use of marijuana and ML. Those who concurrently used ML and marijuana began drinking at a younger age and reported more substance use (particularly marijuana) and more alcohol-related problems than did non-concurrent users. These results suggest that ML use may represent a risk for alcohol problems and marijuana use.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.