2018
DOI: 10.1016/j.addbeh.2018.04.016
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Development and psychometric evaluation of the Pornography Purchase Task

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Cited by 58 publications
(16 citation statements)
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References 37 publications
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“…These results are consistent with previous studies documenting the utility of hypothetical purchase tasks for describing drug valuation (Amlung & MacKillop, ; Aston, Metrik, Amlung, Kahler, & MacKillop, ; Aston, Metrik, & MacKillop, ; Bruner & Johnson, ; Collins, Vincent, Yu, Liu, & Epstein, ; Johnson & Johnson, ; MacKillop et al, ; Murphy & MacKillop, ; Pickover, Messina, Correia, Garza, & Murphy, ; Strickland, Lile, & Stoops, ). These results are also consistent with other studies evaluating nondrug consumables (e.g., soda, food), nonconsumable goods (e.g., gambling access, refrigerators), and activities relevant to sexual behavior (e.g., pornography access; Epstein, Paluch, et al, 2018; Mulhauser et al, ; Roma et al, ; Strickland & Stoops, ; Weinstock, Mulhauser, Oremus, & D'Agostino, ). This work collectively demonstrates the adaptability of the commodity purchase task for indexing reinforcer valuation across a variety of commodity types and health‐related behaviors.…”
Section: Discussionsupporting
confidence: 88%
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“…These results are consistent with previous studies documenting the utility of hypothetical purchase tasks for describing drug valuation (Amlung & MacKillop, ; Aston, Metrik, Amlung, Kahler, & MacKillop, ; Aston, Metrik, & MacKillop, ; Bruner & Johnson, ; Collins, Vincent, Yu, Liu, & Epstein, ; Johnson & Johnson, ; MacKillop et al, ; Murphy & MacKillop, ; Pickover, Messina, Correia, Garza, & Murphy, ; Strickland, Lile, & Stoops, ). These results are also consistent with other studies evaluating nondrug consumables (e.g., soda, food), nonconsumable goods (e.g., gambling access, refrigerators), and activities relevant to sexual behavior (e.g., pornography access; Epstein, Paluch, et al, 2018; Mulhauser et al, ; Roma et al, ; Strickland & Stoops, ; Weinstock, Mulhauser, Oremus, & D'Agostino, ). This work collectively demonstrates the adaptability of the commodity purchase task for indexing reinforcer valuation across a variety of commodity types and health‐related behaviors.…”
Section: Discussionsupporting
confidence: 88%
“…The first of these studies found that higher partner desirability was related to greater valuation for hypothetical sexual encounters (Jarmolowicz et al, ). The second demonstrated that pornography demand was temporally reliable and associated with measures of hypersexuality, primarily for pornography consumption at free or low cost (Mulhauser et al, ).…”
mentioning
confidence: 99%
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“…In the context of the prevalence of CSB, research indicated that fewer women (as compared to men) reported viewing pornographic materials over the last 6 months, 44 they reported less pornography time use 44,[46][47][48]77 and exhibited lower rates of feeling urges to pornography, 45 a smaller percentage of them self-identified as addicted to pornography based on subjective feeling, 14 and fewer women reported symptoms related to CSB, such as difficulties in controlling sexual thoughts and behaviors, engaging in sexual activity to cope with unpleasant emotional states, and experiencing negative consequences because of these sexual behaviors. [50][51][52][53][55][56][57]63,75,77,89,90,109,111,134,136 It is worth noting that prior research focused on measuring PPU and masturbation and has been conducted almost exclusively in men, and prior work has not included a deeper analysis of patterns of sexual functioning of women who reported issues related to CSB. We also note that the subjective assessment of addiction to pornography does not necessarily reflect a CSBD diagnosis in women.…”
Section: Discussionmentioning
confidence: 99%
“…54 Women spent less time on online sexual activities (including pornography viewing) as well as scored lower on instruments measuring problematic cybersex behavior (Internet Sex Screening Test) 70 and sexual compulsivity (Sexual Addiction Screening Test-Abbreviated). 70 Results from a study by Mulhauser, Short, and Weindtock 55 conducted on a group of 134 women and 235 men above the age of 18 from the US general population showed gender differences in scores obtained on measures of CSB, such as HBI-19, 68 Pornography Consumption Inventory (PCI), 71 CPUI, 64 and Problematic Pornography Use Scale (PPUS), 72 with women scoring significantly lower than men.…”
Section: N = 548mentioning
confidence: 99%