Pathways from Positive, Negative, and Specific Alcohol Expectancies to Weekday and Weekend Drinking to Alcohol Problems

  • Andrew LacEmail author
  • Jeremy W. Luk


The current study tested and identified risk and protective pathways from alcohol expectancies to weekday and weekend consumption to problematic consequences. Adult alcohol users (N = 395) completed measures of alcohol expectancies, daily consumption habits during a typical week, and alcohol-related problems. Confirmatory factor analysis supported the five-factor structure of positive expectancy, negative expectancy, weekday drinking, weekend drinking, and alcohol problems. The structural equation model specifying general positive and negative expectancy to weekday and weekend use to alcohol problems exhibited satisfactory fit indices. Specifically, positive expectancy contributed to greater weekend drinking, but negative expectancy prompted greater weekday drinking. Furthermore, lower positive expectancy, higher negative expectancy, higher weekday drinking, and higher weekend drinking each uniquely explained greater alcohol problems. The structural equation model involving the seven specific expectancies to weekday and weekend use to alcohol problems produced high fit indices. Specifically, higher risk and aggression, higher self-perception, and lower cognitive and behavioral impairment expectancies uniquely predicted weekday drinking. In contrast, higher sociability, higher liquid courage, higher risk and aggression, and lower cognitive impairment expectancies explained weekend drinking. The predictive model premised on specific alcohol expectancies as distinct constructs exhibited higher fit indices and more nuanced insights regarding risk and protective pathways for prevention than the model involving general positive versus negative expectancy constructs. Findings underscore that different types of self-fulfilling alcohol expectancy beliefs distinctively explain weekday versus weekend intake and problems.


Alcohol expectancies Weekend drinking Alcohol problems Structural equation model 



Manuscript preparation by the 1st author was partially supported by NIH/NIAA (L30 AA024314-01). Manuscript preparation by the 2nd author was partially supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflicts of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

11121_2019_986_MOESM1_ESM.docx (49 kb)
ESM 1 (DOCX 49 kb)


  1. Antoun, C., Zhang, C., Conrad, F. G., & Schober, M. F. (2016). Comparisons of online recruitment strategies for convenience samples: Craigslist, Google AdWords, Facebook, and Amazon mechanical Turk. Field Methods, 28, 231–246.CrossRefGoogle Scholar
  2. Azzam, T., & Jacobson, M. R. (2013). Finding a comparison group: Is online crowdsourcing a viable option? American Journal of Evaluation, 34, 372–384.CrossRefGoogle Scholar
  3. Balogun, O., Koyanagi, A., Stickley, A., Gilmour, S., & Shibuya, K. (2014). Alcohol consumption and psychological distress in adolescents: a multi-country study. Journal of Adolescent Health, 54, 228–234Google Scholar
  4. Binnewies, C., Sonnentag, S., & Mojza, E. J. (2010). Recovery during the weekend and fluctuations in weekly job performance: A week-level study examining intra-individual relationships. Journal of Occupational and Organizational Psychology, 83, 419–441.CrossRefGoogle Scholar
  5. Bloomfield, K., Hope, A., & Kraus, L. (2013). Alcohol survey measures for Europe: A literature review. Drugs: Education, Prevention and Policy, 20, 348–360.Google Scholar
  6. Blume, A. W., & Guttu, B. L. (2015). Categories of alcohol outcome expectancies and their relationships to alcohol related consequences. Addictive Behaviors Reports, 1, 64–67.CrossRefGoogle Scholar
  7. Bollen, K. A. (1989). Structural equations with latent variables. Oxford: Wiley.CrossRefGoogle Scholar
  8. Boynton, M. H., & Richman, L. S. (2014). An online daily diary study of alcohol use using Amazon’s Mechanical Turk. Drug and Alcohol Review, 33, 456–461.CrossRefGoogle Scholar
  9. Brett, E. I., Leffingwell, T. R., & Leavens, E. L. (2017). Trait mindfulness and protective strategies for alcohol use: Implications for college student drinking. Addictive Behaviors, 73, 16–21.CrossRefGoogle Scholar
  10. Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.Google Scholar
  11. Brown, S. A., Christiansen, B. A., & Goldman, M. S. (1987). The Alcohol Expectancy Questionnaire: An instrument for the assessment of adolescent and adult alcohol expectancies. Journal of Studies on Alcohol, 48, 483–491.CrossRefGoogle Scholar
  12. Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230–258.CrossRefGoogle Scholar
  13. Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5.CrossRefGoogle Scholar
  14. Chen, F. F., Hayes, A., Carver, C. S., Laurenceau, J. P., & Zhang, Z. (2012). Modeling general and specific variance in multifaceted constructs: A comparison of the bifactor model to other approaches. Journal of Personality, 80, 219–251.CrossRefGoogle Scholar
  15. Cleveland, H. H., & Almeida, D. M. (2013). A behavioral genetic investigation of weekend drinking among an adult sample. Substance Use & Misuse, 48, 359–370.CrossRefGoogle Scholar
  16. Coates, J. M., Gullo, M. J., Feeney, G. F., Young, R. M., Dingle, G. A., & Connor, J. P. (2018). Alcohol expectancies pre-and post-alcohol use disorder treatment: Clinical implications. Addictive Behaviors, 80, 142–149.CrossRefGoogle Scholar
  17. Coffman, D. L., & MacCallum, R. C. (2005). Using parcels to convert path analysis models into latent variable models. Multivariate Behavioral Research, 40, 235–259.CrossRefGoogle Scholar
  18. Del Boca, F. K., Darkes, J., Greenbaum, P. E., & Goldman, M. S. (2004). Up close and personal: Temporal variability in the drinking of individual college students during their first year. Journal of Consulting and Clinical Psychology, 72, 155–164.CrossRefGoogle Scholar
  19. Ekholm, O., Strandberg-Larsen, K., & Grønbæk, M. (2011). Influence of the recall period on a beverage-specific weekly drinking measure for alcohol intake. European Journal of Clinical Nutrition, 65, 520–525.CrossRefGoogle Scholar
  20. Engels, R. C., Wiers, R., Lemmers, L. E. X., & Overbeek, G. (2005). Drinking motives, alcohol expectancies, self-efficacy, and drinking patterns. Journal of Drug Education, 35, 147–166.CrossRefGoogle Scholar
  21. Fritz, C., Sonnentag, S., Spector, P. E., & McInroe, J. A. (2010). The weekend matters: Relationships between stress recovery and affective experiences. Journal of Organizational Behavior, 31, 1137–1162.CrossRefGoogle Scholar
  22. Fromme, K., & D’amico, E. J. (2000). Measuring adolescent alcohol outcome expectancies. Psychology of Addictive Behaviors, 14, 206–212.CrossRefGoogle Scholar
  23. Fromme, K., Stroot, E. A., & Kaplan, D. (1993). Comprehensive effects of alcohol: Development and psychometric assessment of a new expectancy questionnaire. Psychological Assessment, 5, 19–26.CrossRefGoogle Scholar
  24. Goldman, M. S. (1994). The alcohol expectancy concept: Applications to assessment, prevention, and treatment of alcohol abuse. Applied and Preventive Psychology, 3, 131–144.CrossRefGoogle Scholar
  25. Goodman, J. K., Cryder, C. E., & Cheema, A. (2013). Data collection in a flat world: The strengths and weaknesses of mechanical turk samples. Journal of Behavioral Decision Making, 26, 213–224.CrossRefGoogle Scholar
  26. Hingson, R., & Winter, M. (2003). Epidemiology and consequences of drinking and driving. Alcohol Research and Health, 27, 63–78.PubMedGoogle Scholar
  27. Hoyle, R. H. (2012). Handbook of structural equation modeling. New York: Guilford.Google Scholar
  28. Jones, B. T., & McMahon, J. (1994). Negative alcohol expectancy predicts post-treatment abstinence survivorship: The whether, when and why of relapse to a first drink. Addiction, 89, 1653–1665.CrossRefGoogle Scholar
  29. Jones, B. T., Corbin, W., & Fromme, K. (2001). A review of expectancy theory and alcohol consumption. Addiction, 96, 57–72.CrossRefGoogle Scholar
  30. Kachadourian, L. K., Quigley, B. M., & Leonard, K. E. (2014). Alcohol expectancies and evaluations of aggression in alcohol-related intimate-partner verbal and physical aggression. Journal of Studies on Alcohol and Drugs, 75, 744–752.CrossRefGoogle Scholar
  31. Kim, H. S., & Hodgins, D. C. (2017). Reliability and validity of data obtained from alcohol, cannabis, and gambling populations on amazon’s mechanical turk. Psychology of Addictive Behaviors, 31, 85.CrossRefGoogle Scholar
  32. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford.Google Scholar
  33. Kuntsche, E., & Cooper, M. L. (2010). Drinking to have fun and to get drunk: Motives as predictors of weekend drinking over and above usual drinking habits. Drug and Alcohol Dependence, 110, 259–262.CrossRefGoogle Scholar
  34. Kuntsche, E., & Labhart, F. (2012). Investigating the drinking patterns of young people over the course of the evening at weekends. Drug and Alcohol Dependence, 124, 319–324.CrossRefGoogle Scholar
  35. Kuntsche, E., Otten, R., & Labhart, F. (2015). Identifying risky drinking patterns over the course of Saturday evenings: An event-level study. Psychology of Addictive Behaviors, 29, 744.CrossRefGoogle Scholar
  36. Labbe, A. K., & Maisto, S. A. (2011). Alcohol expectancy challenges for college students: A narrative review. Clinical Psychology Review, 31, 673–683.CrossRefGoogle Scholar
  37. Labhart, F., Anderson, K. G., & Kuntsche, E. (2017). The spirit is willing, but the flesh is weak: Why young people drink more than intended on weekend nights—An event-level study. Alcoholism: Clinical and Experimental Research, 41, 1961–1969.CrossRefGoogle Scholar
  38. LaBrie, J. W., Grant, S., & Hummer, J. F. (2011). “This would be better drunk”: Alcohol expectancies become more positive while drinking in the college social environment. Addictive Behaviors, 36, 890–893.CrossRefGoogle Scholar
  39. Lac, A., & Brack, N. (2018). Alcohol expectancies longitudinally predict drinking and the alcohol myopia effects of relief, self-inflation, and excess. Addictive Behaviors, 77, 172–179.CrossRefGoogle Scholar
  40. Lac, A., Handren, L., & Crano, W. D. (2016). Conceptualizing and measuring weekend versus weekday alcohol use: Item response theory and confirmatory factor analysis. Prevention Science, 17, 872–881.CrossRefGoogle Scholar
  41. Lahaut, V. M. H. C. J., Jansen, H. A. M., van de Mheen, D., & Garretsen, H. F. L. (2003). Comparison of two formats of the weekly recall and quantity–frequency alcohol measures. Journal of Substance Use, 8, 164–169.CrossRefGoogle Scholar
  42. Lau-Barraco, C., Braitman, A. L., Linden-Carmichael, A. N., & Stamates, A. L. (2016). Differences in weekday versus weekend drinking among nonstudent emerging adults. Experimental and Clinical Psychopharmacology, 24, 100–109.CrossRefGoogle Scholar
  43. Li, H. K., & Dingle, G. A. (2012). Using the Drinking Expectancy Questionnaire (revised scoring method) in clinical practice. Addictive Behaviors, 37, 198–204.CrossRefGoogle Scholar
  44. Luk, J. W., Fairlie, A. M., & Lee, C. M. (2017). Daily-level associations between negative mood, perceived stress, and college drinking: Do associations differ by sex and fraternity/sorority affiliation? Substance Use & Misuse, 1–9.Google Scholar
  45. MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149.CrossRefGoogle Scholar
  46. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99–128.CrossRefGoogle Scholar
  47. Maggs, J. L., Williams, L. R., & Lee, C. M. (2011). Ups and downs of alcohol use among first-year college students: Number of drinks, heavy drinking, and stumble and pass out drinking days. Addictive Behaviors, 36, 197–202.CrossRefGoogle Scholar
  48. Magrys, S. A., & Olmstead, M. C. (2014). Alcohol intoxication alters cognitive skills mediated by frontal and temporal brain regions. Brain and Cognition, 85, 271–276.CrossRefGoogle Scholar
  49. Martens, M. P., Neighbors, C., Dams-O'Connor, K., Lee, C. M., & Larimer, M. E. (2007). The factor structure of a dichotomously scored Rutgers Alcohol Problem Index. Journal of Studies on Alcohol and Drugs, 68, 597–606 i.CrossRefGoogle Scholar
  50. Matsunaga, M. (2008). Item parceling in structural equation modeling: A primer. Communication Methods and Measures, 2, 260–293.CrossRefGoogle Scholar
  51. Matzopoulos, R., Peden, M., Bradshaw, D., & Jordaan, E. (2006). Alcohol as a risk factor for unintentional rail injury fatalities during daylight hours. International Journal of Injury Control and Safety Promotion, 13, 81–88.CrossRefGoogle Scholar
  52. Maydeu-Olivares, A. (2017). Maximum likelihood estimation of structural equation models for continuous data. Structural Equation Modeling, 24, 383–394.CrossRefGoogle Scholar
  53. Mohr, C. D., Brannan, D., Wendt, S., Jacobs, L., Wright, R., & Wang, M. (2013). Daily mood–drinking slopes as predictors: A new take on drinking motives and related outcomes. Psychology of Addictive Behaviors, 27, 944–955.CrossRefGoogle Scholar
  54. Moss, A. C., & Albery, I. P. (2009). A dual-process model of the alcohol-behavior link for social drinking. Psychological Bulletin, 135, 516–530.CrossRefGoogle Scholar
  55. Muthen, L. K., & Muthen, B. O. (2017). Mplus user’s guide (8th ed.). Los Angeles: Muthen & Muthen.Google Scholar
  56. National Institute of Alcohol Abuse and Alcoholism. (2004). NIAAA council approves definition of binge drinking. Washington, DC: Office of Research Translation and Communication.Google Scholar
  57. National Institute on Alcohol Abuse and Alcoholism. (2002). A call to action: Changing the culture of drinking at US colleges. Washington, DC: Office of Research Translation and Communication.Google Scholar
  58. Neighbors, C., Pedersen, E. R., &;Larimer, M. E. (2009). College student applications. In P. M. Miller (Ed.), Evidence-Based Addiction Treatment (pp. 361–378). San Diego: Academic PressGoogle Scholar
  59. Nicolai, J., Moshagen, M., & Demmel, R. (2012). Patterns of alcohol expectancies and alcohol use across age and gender. Drug and Alcohol Dependence, 126, 347–353.CrossRefGoogle Scholar
  60. Orcutt, J. D., & Harvey, L. K. (1991). The temporal patterning of tension reduction: Stress and alcohol use on weekdays and weekends. Journal of Studies on Alcohol, 52, 415–424.CrossRefGoogle Scholar
  61. Pabst, A., Baumeister, S. E., & Kraus, L. (2010). Alcohol-expectancy dimensions and alcohol consumption at different ages in the general population. Journal of Studies on Alcohol and Drugs, 71, 46–53.CrossRefGoogle Scholar
  62. Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on Amazon Mechanical Turk. Judgment and Decision Making, 5, 411–419.Google Scholar
  63. Peer, E., Vosgerau, J., & Acquisti, A. (2014). Reputation as a sufficient condition for data quality on Amazon Mechanical Turk. Behavior Research Methods, 46, 1023–1031.Google Scholar
  64. Plunk, A. D., Syed-Mohammed, H., Cavazos-Rehg, P., Bierut, L. J., & Grucza, R. A. (2014). Alcohol consumption, heavy drinking, and mortality: Rethinking the J-shaped curve. Alcoholism: Clinical and Experimental Research, 38, 471–478.CrossRefGoogle Scholar
  65. Pridemore, W. A. (2004). Weekend effects on binge drinking and homicide: The social connection between alcohol and violence in Russia. Addiction, 99, 1034–1041.CrossRefGoogle Scholar
  66. Quigley, B. M., & Leonard, K. E. (2006). Alcohol expectancies and intoxicated aggression. Aggression and Violent Behavior, 11, 484–496.CrossRefGoogle Scholar
  67. Rand, D. G. (2012). The promise of mechanical turk: How online labor markets can help theorists run behavioral experiments. Journal of Theoretical Biology, 299, 172–179.CrossRefGoogle Scholar
  68. Scott-Sheldon, Terry, D. L., Carey, K. B., Garey, L., & Carey, M. P. (2012). Efficacy of expectancy challenge interventions to reduce college drinking: A meta-analytic review. Psychology of Addictive Behaviors, 26, 393–405.CrossRefGoogle Scholar
  69. Sher, K. J., Wood, M. D., Wood, P. K., & Raskin, G. (1996). Alcohol outcome expectancies and alcohol use: A latent variable cross-lagged panel study. Journal of Abnormal Psychology, 105, 561–574.CrossRefGoogle Scholar
  70. Spunt, B., Goldstein, P., Brownstein, H., Fendrich, M., & Langley, S. (1994). Alcohol and homicide: Interviews with prison inmates. Journal of Drug Issues, 24, 143–163.CrossRefGoogle Scholar
  71. Steele, C. M., & Josephs, R. A. (1990). Alcohol myopia. Its prized and dangerous effects. American Psychologist, 45, 921–933.CrossRefGoogle Scholar
  72. Studer, J., Baggio, S., Mohler-Kuo, M., Dermota, P., Daeppen, J. B., & Gmel, G. (2014). Differential association of drinking motives with alcohol use on weekdays and weekends. Psychology of Addictive Behaviors, 28, 651–658.CrossRefGoogle Scholar
  73. Suffoletto, B., & Chung, T. (2016). Patterns of change in weekend drinking cognitions among non–treatment-seeking young adults during exposure to a 12-week text message intervention. Journal of Studies on Alcohol and Drugs, 77, 914–923.CrossRefGoogle Scholar
  74. Trim, R. S., Clapp, J. D., Reed, M. B., Shillington, A., & Thombs, D. (2011). Drinking plans and drinking outcomes: Examining young adults' weekend drinking behavior. Journal of Drug Education, 41, 253–270.CrossRefGoogle Scholar
  75. Turrisi, R., Mallett, K. A., Cleveland, M. J., Varvil-Weld, L., Abar, C., Scaglione, N., & Hultgren, B. (2013). Evaluation of timing and dosage of a parent-based intervention to minimize college students’ alcohol consumption. Journal of Studies on Alcohol and Drugs, 74, 30–40.CrossRefGoogle Scholar
  76. Ullman, J. B., & Bentler, P. M. (2003). Structural equation modeling. In J. A. Schinka & W. F. Velicer (Eds.), Handbook of psychology (pp. 607–634).Google Scholar
  77. Wall, A. M., Thrussell, C., & Lalonde, R. N. (2003). Do alcohol expectancies become intoxicated outcomes? A test of social-learning theory in a naturalistic bar setting. Addictive Behaviors, 28, 1271–1283.CrossRefGoogle Scholar
  78. White, H. R., & Labouvie, E. W. (1989). Towards the assessment of adolescent problem drinking. Journal of Studies on Alcohol, 50, 30–37.CrossRefGoogle Scholar
  79. White, H. R., Filstead, W. J., Labouvie, E. W., Conlin, J., & Pandina, R. J. (1988). Assessing alcohol problems in clinical and nonclinical adolescent populations. Alcoholism Clinical and Experimental Research, 12, 328.Google Scholar
  80. Zhang, L., Welte, J. W., & Wieczorek, W. W. (2002). The role of aggression-related alcohol expectancies in explaining the link between alcohol and violent behavior. Substance Use & Misuse, 37, 457–471.CrossRefGoogle Scholar

Copyright information

© Society for Prevention Research 2019

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of Colorado - Colorado SpringsColorado SpringsUSA
  2. 2.Health Behavior Branch, Division of Intramural Population Health ResearchEunice Kennedy Shriver National Institute of Child Health and DevelopmentBethesdaUSA

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