Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64720, first published .
The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

1UW-Madison, 333 East Campus Mall 8th floor, Madison, WI, United States

2Instituto de Efectividad Clinica y Sanitaria (IECS), Dr. Emilio Ravignani 2024, Buenos Aires, Argentina

*all authors contributed equally

Corresponding Author:

Agustina Marconi, MPH, MD


Background: The “Color of Drinking” is a study conducted at the University of Wisconsin-Madison. It examines the secondhand harms of high-risk drinking on college students of color and explores the connection between alcohol use and the campus racial climate. Since its findings were released in 2018, this study has received significant attention from other college settings around the country.

Objective: This study aims to describe the development of the most recent version of the Color of Drinking questionnaire and to assess its internal consistency, test-retest reliability, and construct validity in a sample of undergraduate students attending the University of Wisconsin-Madison.

Methods: This is an observational, analytic study. Questionnaire design experts revised the original instrument, and in-depth cognitive interviews with students were conducted to evaluate comprehensibility and acceptability. The revised questionnaire was administered 2 times, 3 to 4 weeks apart, in a sample of undergraduate students. The following properties were studied: internal consistency in 4 sets of items (Cronbach α), test-retest reliability among closed-ended questions (κ statistics and intraclass correlation coefficient), and construct validity (associations with other validated instruments, such as the Alcohol Use Disorders Identification Test). For a section of questions showing low reliability, the answers to open questions and other in-depth interviews were carried out, and online surveys were conducted with another sample of undergraduate students to evaluate reliability after changes.

Results: Eight students participated in the in-depth interviews, 177 responses from the online survey were included for the analysis of internal consistency, 115 for test-retest reliability, and 98 for construct validity. The 4 sets of items (sections) evaluated (“impact of alcohol consumption on academics,” “impact of microaggressions,” “witnessing microaggressions and alcohol intoxication,” and “bystanders’ interventions on alcohol intoxication”) presented good internal consistency (Cronbach α between 0.723 and 0.898). Most items showed moderate to substantial test-retest reliability; agreement was from 68.1% to 95.2%, and κ coefficients ranged from 0.214 to 0.8. For construct validity, correlations between the number of drinking days, the maximum number of drinks in a day and the Alcohol Use Disorders Identification Test score were moderate to high, r=0.630 (95% CI 0.533-0.719) and r=0.647 (95% CI 0.548-0.741), respectively. Due to low reliability, a section regarding “health impacts” has been redesigned, including 8 items for the personal consumption of alcohol and the consumption of others (Cronbach α 0.735 and 0.855, respectively; agreement between the first and the second time the questionnaire was administered were 83.4% and 99.1%, and most of the items with κ coefficient from 0.476 to 0.877).

Conclusions: The revised version of the Color of Drinking questionnaire showed acceptable to adequate reliability and construct validity.

Interact J Med Res 2025;14:e64720

doi:10.2196/64720

Keywords



The association between alcohol consumption and being a college student is broadly described in the literature. Students often understand drinking during college as part of their higher education experience and a way to socialize with peers [Harmful and underage college drinking. National Institute on Alcohol Abuse and Alcoholism. 2023. URL: https://www.niaaa.nih.gov/publications/brochures-and-fact-sheets/college-drinking [Accessed 2025-03-20] 1]. The first years of college involve major transitions, including changes in family bonds, living arrangements, and peer socialization. That type of transition is often associated with risky behaviors, including high levels of alcohol consumption [Lorant V, Nicaise P, Soto VE, d’Hoore W. Alcohol drinking among college students: college responsibility for personal troubles. BMC Public Health. Jun 28, 2013;13:615. [CrossRef] [Medline]2,American College Health Association. American College Health Association-National College Health Assessment II: Undergraduate Student Reference Group DataReport Spring 2019. American College Health Association; 2019. URL: https:/​/www.​acha.org/​wp-content/​uploads/​2024/​07/​NCHA-II_SPRING_2019_UNDERGRADUATE_REFERENCE_GROUP_DATA_REPORT.​pdf [Accessed 2025-03-20] 3]. Environmental factors, such as the campus culture, can further [Lorant V, Nicaise P, Soto VE, d’Hoore W. Alcohol drinking among college students: college responsibility for personal troubles. BMC Public Health. Jun 28, 2013;13:615. [CrossRef] [Medline]2,American College Health Association. American College Health Association-National College Health Assessment II: Undergraduate Student Reference Group DataReport Spring 2019. American College Health Association; 2019. URL: https:/​/www.​acha.org/​wp-content/​uploads/​2024/​07/​NCHA-II_SPRING_2019_UNDERGRADUATE_REFERENCE_GROUP_DATA_REPORT.​pdf [Accessed 2025-03-20] 3] reinforce this behavior and contribute to its health consequences [Wechsler H, Nelson TF. What we have learned from the Harvard School Of Public Health College Alcohol Study: focusing attention on college student alcohol consumption and the environmental conditions that promote it. J Stud Alcohol Drugs. Jul 2008;69(4):481-490. [CrossRef] [Medline]4]. However, few studies have examined the potential impact of a high-risk drinking culture on the mental health and well-being of marginalized college students [Satinsky S, Washington RL, Pastor J, Wagner AK. Campus high-risk drinking culture as a social justice issue: a commentary on the potential impact on the mental health and well-being of marginalized college students. Am J Health Educ. Jul 4, 2017;48(4):222-225. [CrossRef]5] The Color of Drinking study examines differences in narratives and perspectives related to alcohol culture, high-risk drinking, and the racial climate for students of color and White students at an American predominately White institution [Washington R, Marconi A, Reeves M, Jardas E. The color of drinking: an exploratory study of the impact of UW–madison’s alcohol culture on students of color. University Health Services. 2020. URL: https://www.uhs.wisc.edu/wp-content/uploads/2020/01/10_1_2018_ColorOfDrinkingBooklet_RLG.pdf [Accessed 2025-03-20] 6].

Results from the exploratory Color of Drinking Study (2017/2018) revealed key insights into the intersection of alcohol culture and student experiences. Safety concerns in high-risk drinking environments had a greater impact on students of color compared to their White peers. High-risk drinking was also positively associated with students’ sense of connection and belonging. Students of color reported higher rates of abstaining from or avoiding alcohol than White students (15.3% vs 8.4%). Additionally, African American or Black students considered leaving the university at twice the rate of White students (43.6% vs 20.9%), and students of color were more likely to report financial struggles (14.5% vs 7%). White, problematic drinkers scored higher on the Diener Flourishing Scale than students of color (27.3% vs 10.2%). Campus alcohol culture also influenced academic routines, with 46% of students reporting the need to find alternative study spaces and 40% scheduling group meetings around alcohol consumption [Washington R, Marconi A, Reeves M, Jardas E. The color of drinking: an exploratory study of the impact of UW–madison’s alcohol culture on students of color. University Health Services. 2020. URL: https://www.uhs.wisc.edu/wp-content/uploads/2020/01/10_1_2018_ColorOfDrinkingBooklet_RLG.pdf [Accessed 2025-03-20] 6]. Furthermore, African American or Black was the racial group that most frequently witnessed (82.9%) and experienced microaggressions (79.8%). The likelihood of witnessing microaggressions increased with the year in school, from 49.3% among first-year students to 75.8% among fourth-year students. Among students of color, alcohol use in the last 30 days, feeling impacted by other’s consumption of alcohol, and avoiding certain areas due to alcohol consumption were all significantly associated with experiencing microaggressions among students of color [Marconi A, Washington R, Reeves M, Bradley Q, Ayala A, Griggs C. Examining racial microaggressions and alcohol use among marginalized populations at a predominately White institution. J Am Coll Health. 2024;72(6):1886-1895. [CrossRef] [Medline]7].

Since the release of its findings, the Color of Drinking has received significant attention from other college settings, media coverage, and numerous requests to replicate this study around the country [Rosciglione A. If you don’t drink, you don’t belong’: a deep dive into UW’s color of drinking survey. The Daily Cardinal. 2022. URL: https:/​/www.​dailycardinal.com/​article/​2022/​11/​if-you-dont-drink-you-dont-belong-a-deep-dive-into-uws-color-of-drinking-survey [Accessed 2025-03-20] 8]. As the instrument gained greater prominence as a research tool and a way for campuses to understand their student experiences, the decision was made to conduct a validation study of the Color of Drinking instrument. This validation effort enhances the University of Wisconsin-Madison’s (UW-Madison’s) ability to interpret survey results accurately and provides other institutions with a clearer understanding of the insights they can gain from administering the survey.

Thus, this study aims to describe the development of the last version of the Color of Drinking questionnaire and to evaluate its reliability and validity in a sample of undergraduate students attending UW-Madison.


Study Design

This observational, analytic study incorporated both qualitative and quantitative research components. Experts in questionnaire design reviewed the original version of the questionnaire and in-depth cognitive interviews were conducted with students to evaluate the comprehensibility and acceptability of the instrument. The revised version of the questionnaire was administered to a sample of undergraduate students at UW-Madison twice, with an interval of 3 to 4 weeks. This timeframe was selected to reduce the likelihood of participants remembering their previous responses while avoiding a gap long enough to span different semesters, which could impact the comparability of recall. Other validated instruments were administered alongside the first administration of the Color of Drinking questionnaire: (1) the Alcohol Use Disorders Identification Test (AUDIT), the microaggressions subscale from the Racial and Ethnic Microaggression Scale (REMS) [Nadal KL. The Racial and Ethnic Microaggressions Scale (REMS): construction, reliability, and validity. J Couns Psychol. Oct 2011;58(4):470-480. [CrossRef] [Medline]9], and the Sense of Belonging Index (SBI). The following properties were evaluated: internal consistency, test-retest reliability, and construct validity.

Participants

The study was conducted in a sample of undergraduate students aged ≥18 years at UW-Madison.For in-depth cognitive interviews, an opportunistic sample of students (n=8), ensuring variability in age, gender, and ethnicity or race among students with freshman, sophomore, junior, and senior standing, was selected. For the online survey the minimum sample size was estimated in 100 participants. This sample size was determined to assess the construct validity by applying a 2-sample t test, based on data previously published from the REMS subscale in a sample of undergraduate students, considering a mean difference of 0.5, an SD of 0.89, an error α of .05 and a statistical power (1-β) of .80 [Forrest-Bank S, Jenson J. Differences in experiences of racial and ethnic microaggression among Asian, Latino/Hispanic, Black, and White young adults. J Sociology Soc Welfare. Jan 1, 2015;42(1). [CrossRef]10]. This sample size is also adequate for assessing test-retest reliability (n=63 participants completing the survey on 2 occasions), based on an anticipated intraclass correlation of 0.7 (with a minimum acceptably threshold of 0.5 [Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. Jun 2016;15(2):155-163. [CrossRef] [Medline]11]), a significance level (α) of .05 and β of .20 [Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Statist Med. Jan 15, 1998;17(1):101-110. [CrossRef]12,Streiner DL, Norman GR. Health Measurement Scales. Oxford University Press; 2008. [CrossRef] ISBN: 978-0-19-923188-113].

Student identity data was obtained from the UW-Madison Office of the Registrar and sampled self-identified White and censused self-identified undergraduate students of color or international students. Based on the recruitment rate from the study previously conducted in the same population [Marconi A, Washington R, Reeves M, Bradley Q, Ayala A, Griggs C. Examining racial microaggressions and alcohol use among marginalized populations at a predominately White institution. J Am Coll Health. 2024;72(6):1886-1895. [CrossRef] [Medline]7], a random sample of 300 self-identified White undergraduate students and 200 self-identified undergraduate students of color or international students were invited to participate. Each student received an email with the invitation to participate, and 2 reminder emails were sent. It was explained that there were 2 opportunities to be part of the validation of the Color of Drinking Survey (a qualitative Zoom [Zoom Communications, Inc] interview or an online survey administered twice). Participation was voluntary, and invitations were sent via listservs. Thus, students had the option not to respond to the task. Participants who had completed the first questionnaire were contacted by email with the invitation to complete the second questionnaire.

Color of Drinking Questionnaire

The original instrument was developed by the University Health Services at the UW-Madison [Washington R, Marconi A, Reeves M, Jardas E. The color of drinking: an exploratory study of the impact of UW–madison’s alcohol culture on students of color. University Health Services. 2020. URL: https://www.uhs.wisc.edu/wp-content/uploads/2020/01/10_1_2018_ColorOfDrinkingBooklet_RLG.pdf [Accessed 2025-03-20] 6]. The dimensions of interest were selected, and a list of questions was developed by an interdisciplinary team composed of a Subject Matter Expert on Alcohol (RW) and a Physician, Epidemiologist specialist in Public Health (AM), based on information gathered during interviews with students and a framework based on previous research [Satinsky S, Washington RL, Pastor J, Wagner AK. Campus high-risk drinking culture as a social justice issue: a commentary on the potential impact on the mental health and well-being of marginalized college students. Am J Health Educ. Jul 4, 2017;48(4):222-225. [CrossRef]5]. The instrument explored the following dimensions: (1) personal alcohol consumption, (2) academics and alcohol drinking culture, (3) locations (avoiding areas at campus due to concerns of the alcohol use of others or where feeling unsafe), (4) the impact of others’ alcohol use, (5) experiencing microaggressions (targeting students of color only), (6) bystander witnessing and intervention in situations of microaggressions or alcohol intoxications), (7) impact on personal health and well-being, and (8) overall experience and sense of belonging at the campus. The tool also included questions about sociodemographic characteristics such as age, gender, race or ethnicity, and financial situation. The questionnaire included both open-ended and closed-ended questions. Questions about experiencing microaggressions were asked only to students of color, under the definition of microaggressions used by the authors: “racial microaggressions are an everyday manifestation of oppression that brings psychological consequences to target groups” [Sue DW, Capodilupo CM, Holder AMB. Racial microaggressions in the life experience of Black Americans. Prof Psychol: Res Pract. 2008;39(3):329-336. [CrossRef]14]. The well-being section included a validated scale, the Diener Flourishing Scale, consisting of 8 items [Diener E, Wirtz D, Tov W, et al. New well-being measures: short scales to assess flourishing and positive and negative feelings. Soc Indic Res. Jun 2010;97(2):143-156. [CrossRef]15]. The questionnaire was previously administered in 2015, 2017, and 2018 to more than 1100 students; thus, the research team has previously analyzed useful information from both closed-ended and open-ended questions.

During the first phase of the validation study, the original version was revised by a group of researchers with expertise in questionnaire design, obtaining a preliminary draft version. Later, a series of cognitive interviews were conducted with a sample of students. They consisted of the flexible administration of the draft questionnaire and relied heavily on verbal probing to improve the instrument [Beatty PC, Willis GB. Research Synthesis: The Practice of Cognitive Interviewing. Public Opin Q. 2007;71(2):287-311. [CrossRef]16,National Research Council. Cognitive Aspects of Survey Methodology. National Academies Press; 1984. [CrossRef]17]. An “inspect-and-repair” model was used to inspect the items, detect flaws, and repair them. If the interviewer identified any problem with 1 or more questions (about comprehension, recall, difficulty to answer, response, or other), they would rephrase the items to test a potential solution [Willis GB. Analysis of the Cognitive Interview in Questionnaire Design. Oxford University Press; 2015. URL: https:/​/global.​oup.com/​academic/​product/​analysis-of-the-cognitive-interview-in-questionnaire-design-9780199957750?cc=ar&lang=en&amp [Accessed 2025-03-29] ISBN: 978-0-19-995775-018]. The interviews were focused on the questions developed for the questionnaire and did not include the already validated Diener Flourishing Scale or the section on sociodemographic characteristics. After the series of interviews, a new version of the questionnaire was produced.

Assessment of the Psychometric Properties

Internal Consistency

This property is a measure of the intercorrelation among items and hence the consistency in the measurement of the intended construct [Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. Mar 1977;33(1):159-174. [CrossRef] [Medline]19]. The internal consistency was evaluated in the following sets of items: (1) impact of alcohol consumption on academics (Q8. How often have you experienced the following during the current semester? items: 8.1 to 8.5), (2) impact of microaggressions (Q17. How much did the microaggressions impact your… items: 17.1 to 17.3?), (3) witnessed microaggressions (Q25. Have you witnessed any of the following? ...items: 25.1 to 25.8), and (4) bystander intervention (Q26. Would you intervene in the following situations? ...items: 26.1 to 26.4)

Test-Retest Reliability

Test-retest reliability, a measurement of reproducibility, was evaluated for closed-ended questions.

Construct Validity

To assess construct validity, participants also completed 3 validated scales: the AUDIT [Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction. Jun 1993;88(6):791-804. [CrossRef] [Medline]20], the SBI [Pedler ML, Willis R, Nieuwoudt JE. A sense of belonging at university: student retention, motivation and enjoyment. J Further Higher Educ. Mar 16, 2022;46(3):397-408. [CrossRef]21], and the “Workplace and School Microaggressions” Scale from the REMS [Nadal KL. The Racial and Ethnic Microaggressions Scale (REMS): construction, reliability, and validity. J Couns Psychol. Oct 2011;58(4):470-480. [CrossRef] [Medline]9]. They also reported their Grade Point Average (GPA).

The AUDIT is a 10-item questionnaire with a range of possible scores from 0 to 40. Scores ≥7 and 8 have been proposed as “hazardous and harmful alcohol use” among women and men, respectively [Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction. Jun 1993;88(6):791-804. [CrossRef] [Medline]20,Bador TF, Higgins-Biddle JC, Saunders JB, Monteiro MG, Salud OM. AUDIT: cuestionario de identificación de los transtornos debidos al consumo de alcohol: pautas para su utilización en atención primaria. World Health Organization; 2001. URL: https://apps.who.int/iris/handle/10665/331321 [Accessed 2025-03-20] 22]. It was expected that (1) the median number of drinking days and the maximum number of drinks in a day during the last 2 weeks measured by the Color of Drinking questionnaire are greater among those scoring ≥7 than those scoring <7 in the AUDIT instrument, and (2) the number of drinking days and the maximum number of drinks per day during the last 2 weeks are correlated with the AUDIT score.

The validated “Workplace and School Microaggressions” subscale from the REMS, included 5 items describing experienced microaggressions in the last 6 months, with possible score ranges from 0 to 5. It was expected that those who answered that they had experienced a microaggression on campus or surrounding areas (Color of Drinking, Q14) score higher in the REMS subscale than those who did not have such experience [Nadal KL. The Racial and Ethnic Microaggressions Scale (REMS): construction, reliability, and validity. J Couns Psychol. Oct 2011;58(4):470-480. [CrossRef] [Medline]9].

The SBI is a validated 6-item questionnaire with possible scores ranging from 5 to 30 (the greater the score, the more the sense of belonging). It was hypothesized that the SBI score is lower among those who reported that the alcohol culture had impacted their overall sense of belonging at UW-Madison in comparison to those who reported that the alcohol culture had not affected it [Pedler ML, Willis R, Nieuwoudt JE. A sense of belonging at university: student retention, motivation and enjoyment. J Further Higher Educ. Mar 16, 2022;46(3):397-408. [CrossRef]21].

Finally, the academic performance was operationalized as self-reported accumulated and last-term GPA. It was expected that academic performance was better among those students who responded that they never received a poor grade because they had chosen to drink instead of study during the semester.

Redesign and Assessment for Questions With Low Performance and Developing the Final Questionnaire

For a section of questions showing low reliability, the answers to the open-ended questions and other series of in-depth interviews were used to generate a revised set of questions. Then, online surveys were conducted with another sample of undergraduate students to evaluate reliability after changes.

Data Analysis

Descriptive statistics were calculated for the population and each item. Hypothesis tests were selected according to the variable distribution. Wilcoxon rank sum test with continuity correction and Kendall correlation coefficients were used to test the hypotheses related to construct validity.

The internal consistency was evaluated by calculating the Cronbach α coefficient by dimension. Additionally, we calculated the variation in the α coefficient after excluding each item from the analysis to assess the effect of dropping a particular item. A Cronbach α value of at least 0.7 is usually interpreted as adequate internal consistency [Nunnally JC. Psychometric Theory. 2nd ed. McGraw-Hill; 1978. ISBN: 978-0-07-047465-923]. Low values of α represent poor interrelatedness between items.

To assess test-retest reliability, the Cohen κ coefficient (dichotomous data), the Cohen weighted κ coefficient (ordinal data), and the intraclass correlation coefficient (for continuous data) and their 95% CI were calculated. The higher the coefficient, the stronger the test-retest reliability [Streiner DL, Norman GR. Health Measurement Scales. Oxford University Press; 2008. [CrossRef] ISBN: 978-0-19-923188-113]. κ values between 0.41 and 0.6 were considered to be of moderate reliability, between 0.61 and 0.8 as substantial reliability and between 0.81 and 1 very high reliability [Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. Mar 1977;33(1):159-174. [CrossRef] [Medline]19]. κ is influenced by the trait prevalence and basal rates. κ may be low even though there are high levels of agreement and even though individual ratings are accurate, thus we have also calculated the proportion of observed and expected agreement only by chance. For the interpretation of the intraclass correlation coefficient, values lower than 0.5 were considered indicative of poor reliability, values between 0.5 and 0.75 indicate moderate reliability, values between 0.75 and 0.9 good reliability, and values higher than 0.9 excellent reliability [Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. Jun 2016;15(2):155-163. [CrossRef] [Medline]11].

All the analyses considered α <.05 as statistically significant. Analyses were performed using R Statistical Software (version 4.1.3; R Foundation) and RStudio statistical software (version 2022.02.3 for Windows).

Ethical Considerations

This study was approved by the Institutional Review Board of the University of Wisconsin (Protocol Institutional Review Board ID 2017‐0930). This study was conducted according to the guidelines established in the Declaration of Helsinki for studies involving human subjects. Written informed consent was obtained from all participants in the in-depth interviews, and online consent before the access to the survey in the Qualtrics platform. Students who completed the qualitative interview received US $20 on their campus card. Participants who completed both sets of surveys received US $10 on their student campus card. Data was de-identified for anaylsis.


Cognitive Interviews

Table S1 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1 presents the characteristics of the students who participated in the interviews. The sample included 8 students, aged 19 to 22 years, representing diverse ethnicities, genders, and undergraduate years. The interview duration ranged from 20 minutes to 1 hour.

Overall, participants found most questions easy to answer and acceptable, with their interpretations “in their own words” aligning with the intended purpose of each question. However, for a few questions, 1 or more participants suggested that the interpretation could be improved by incorporating definitions, clarifications, or more specific terminology. Revisions based on these interviews are detailed in Table S2 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1.

The first version to assess the psychometric properties consists of 31 items (19 core questions+12 skip questions). Additionally, the survey includes 12 questions about sociodemographic characteristics.

Assessment of Psychometric Properties

A total of 181 students completed the first administration of the questionnaire between June and November 2022. Of these, 116 also completed the second administration. Six observations were excluded from the analysis due to missing answers in >50% of the questions (4 from the first administration and 2 from the second administration). All of them were from the group of students of color. Thus, 177 responses were available for the analysis of internal consistency, 115 for test-retest reliability assessment and 98 for construct validity.

Participants’ characteristics for each substudy are shown below in Table 1. Students of color represented 48.6% (86/177), 43.5% (50/115), and 57.1% (56/98) in substudies of assessment of internal consistency, test-retest assessment, and construct validity, respectively. Most of the students of color were Asian or Asian American, followed by those of Hispanic, Latinx, or Spanish origin. There were students representing all stages of academic studies. A larger number of students lived off campus, and the most frequent current financial situation was described as “tight but doing fine.”

Table 1. Demographic characteristics of the participants, the Color of Drinking validation study, University of Wisconsin-Madison, 2022.
CharacteristicsInternal consistency (n 177)Test-retest (n 115)Construct (n 98)
Ethnicitya
American Indian or Alaskan Native333
Asian or Asian American754550
Black or African American756
Hispanic, Latinx, or Spanish14711
Middle Eastern or North African211
White916542
Biracial323
Multiracial121
Other identity723
Gender
Female1188662
Male502330
Gender diverse966
Self-identification
Disabled person342122
Able-bodied or not disabled1177966
Prefer not to answer261510
Stage of academic studies
1st year undergraduate20817
2nd year undergraduate422530
3rd year undergraduate483020
4th year undergraduate423627
5th year undergraduate or other16154
Prefer not to answer910
Living arrangement
On campus432131
Off campus1229266
Other201
Prefer not to answer1020
Current financial situation
It’s a financial struggle221310
It’s tight but I’m doing fine805354
Finances aren’t really a problem654734
Prefer not to answer1020
College or school
College of Agricultural and Life Sciences (CALS)282114
College of Engineering21149
College of Letters and Science (L&S)895956
Wisconsin School of Business161111
School of Education1397
School of Human Ecology431
School of Nursing544
School of Pharmacy432
Nelson Institute for Environmental Studies321
School of Veterinary Medicine110
School or college not listed431
Prefer not to answer920

aMultiple answer options were allowed.

Internal Consistency

The four dimensions evaluated presented good internal consistency, with Cronbach α coefficients ranging from 0.723 to 0.898 (Table 2).

Table 2. Internal consistency of 4 sets of items: impact of alcohol consumption on academics, the impact of microaggressions, witnessing microaggressions and alcohol intoxication, and bystander interventions on alcohol intoxication: Color of Drinking validation study, UW-Madisona, 2022.
Dimension, Qb, and itemsCronbach α coefficient (95% CI)Cronbach α coefficient if an item is dropped
Impact of alcohol consumption on academics (n=177)0.795 (0.689-0.854)
Q8 How often have you experienced the following during the current semester?c
8.1 I have been too hungover to attend class0.74
8.2 I chose to drink instead of study0.77
8.3 I received a poor grade because I chose to drink instead of study0.78
8.4 Missed a class because of alcohol use0.74
8.5 Performed poorly on an assignment due to alcohol use0.74
Impact of microaggressions (n=22)0.898 (0.832-0.94)
Q17. How much did the microaggressions impact your …?d
17.1 Sense of belonging at UW-Madison?0.88
17.2 Health and wellbeing?0.83
17.3 Ability to learn at UW-Madison?0.85
Witnessing microaggressions and alcohol intoxication (n=12)0.723 (0.643-0.782)
Q25. Have you witnessed any of the following?e
25.1 A friend makes a discriminatory statement to a stranger0.72
25.2 A stranger makes a discriminatory comment to a friend0.68
25.3 Your alcohol-intoxicated friend makes a discriminatory comment to a stranger0.7
25.4 An alcohol-intoxicated stranger makes a discriminatory comment to a friend0.68
25.5 A friend is passed out in a public space and unconscious due to alcohol0.72
25.6 A stranger is passed out in a public space and unconscious due to alcohol0.67
25.7 A friend being transported to detox because of alcohol intoxication0.7
25.8 A stranger being transported to detox because of alcohol intoxication0.7
Bystanders’ interventions (n 112)0.724 (0.649-0.779)
Q26. Would you intervene in the following situations?e
26.1 A friend is passed out in a public space and unconscious due to alcohol0.67
26.2 A stranger is passed out in a public space and unconscious due to alcohol0.68
26.3 A friend being transported to detox because of alcohol intoxication0.65
26.4 A stranger being transported to detox because of alcohol intoxication0.64

aUW-Madison: University of Wisconsin-Madison.

bQ: question.

cAnswer categories: never, rarely, sometimes, often, and most of the time

dAnswer categories: not at all, slightly, somewhat, quite a bit, and a great deal.

eAnswer categories: yes and no.

Test-Retest Reliability

Approximately 33% (38/115) and 30% (35/115) of the students reported that they do not drink alcohol or did not drink during the last 30 days in test and retest surveys, respectively. The mean number of drinking days within the last 2 weeks was 1.4 and 1.8 for test and retest, respectively. In summary, the section “alcohol use” showed moderate to substantial reliability (Table S3 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1).

On test and retest surveys, 9.6% (11/114) of the participants reported that the alcohol culture at UW-Madison had impacted their academics (Table S4 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1). Most items on the section “alcohol culture and academics” showed moderate to substantial test-retest reliability, but 1 of them showed low test-retest reliability.

On test and retest surveys, 51.8% (59/114) of the participants reported that during the semester they had avoided specific areas on or off campus due to concerns about alcohol use by others. The proportion in which participants were negatively impacted by other students’ alcohol consumption was 35% (40/113) for the test and 28% (32/113) for the retest. Items from these 2 sections, “areas avoided” and “impact of by other students’ alcohol consumption” also showed mostly moderate to substantial test-retest reliability (Table S2 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1).

Among the students of color, 47% (29/62) and 40% (25/62) reported having experienced a microaggression on campus or surrounding areas on test and retest surveys. On test and retest surveys, 71% (81/114) and 73% (83/114) of the students had witnessed at least once a microaggression on campus or surrounding areas during their time at UW-Madison. A summary of test-retest reliability assessment for experiencing, witnessing, and bystander intervention of microaggressions and alcohol intoxications is presented in Table S4 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1. Most of the items from these dimensions showed moderate to substantial test-retest reliability.

From test and retest surveys, 33% (37/112) and 25% (28/112) of the participants answered that their own or alcohol consumption by other students impacted their health during the time they attended UW-Madison. At test and retest, 43% (49/113) and 42% (47/113) of the students reported that the alcohol culture had impacted their overall sense of belonging at UW-Madison. Most of the items from the section “impact on health and sense of belonging” showed moderate to substantial test-retest reliability, except for 1 related to the impact on health (Table S4 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1).

Construct Validity

Students with AUDIT scores ≥7 reported a higher number of drinking days within the last 2 weeks than those with lower AUDIT scores. A similar association was found regarding the maximum number of drinks in a day and the AUDIT score with a cutoff point of 7 (Table 3). Correlations between the number of drinking days, the maximum number of drinks in a day and the AUDIT score as a continuous variable were moderate to high, r=0.630 (95% CI 0.533-0.719) and r=0.647 (95% CI 0.548-0.741), respectively (Table 3).

A few students reported that they received a poor grade because they had chosen to drink instead of study. Their GPA was lower than the other students’ (Table 4).

Table 3. Construct validity. Drinking days within the last 2 weeks and a maximum number of drinks in a day among participants with AUDITa scores less than and greater than or equal to 7. CoDb validation study, University of Wisconsin-Madison, 2022.
AUDIT score
<7 (n=62)≥7 (n=35)
Variables from the Color of Drinking questionnaireMedian(IQR)Median (IQR)P valuec
Drinking days within the last 2 wk0 (0‐2)3 (0‐5)<.0001
Maximum number of drinks in a day0 (0‐3)6 (3‐10)<.0001

aAUDIT: Alcohol Use Disorders Identification Test.

bCoD: Color of Drinking.

cWilcoxon rank sum test.

Table 4. Construct validity. Self-reported grade point average (GPAa), microaggression subscale from the REMSb and SBIc according to selected items from the CoDd questionnaire validation study. UW-Madisone, 2022.
Dimension: CoD questionnaire itemVariable (other instrument)NMean (SD)Median (IQR)P valuef
Dimension: alcohol consumption and academics
CoD questionnaire, item 8.3 (“I received a poor grade because I chose to drink instead of study”)GPA, accumulated.04
At least once during the current semester73.19 (0.57)3.3 (2.7‐3.68)
Never713.6 (0.37)3.7 (3.4‐3.9)
GPA, last term.02
At least once during the current semester62.9 (0.77)2.9 (2.28‐3.55)
Never703.59 (0.58)3.8 (3.5‐4)
Dimension: microaggressions
CoD questionnaire, Q13. “In your time at UW-Madison, have you experienced a microaggression on campus or surrounding areas?”Microaggressions subscale from REMSg<.001
Yes272.04 (1.83)2 (0‐3.5)
No400.68 (1.4)0 (0‐1)
Dimension: impact on the sense of belonging
CoD questionnaire, Q28. “Has the alcohol culture impacted your overall sense of belonging at UW-Madison?”SBIh<.001
Yes4116.07 (2.23)16 (15-18)
No5718.04 (2.15)18 (17‐19)

aGPA: grade point average.

bREMS: Racial and Ethnic Microaggression Scale.

cSBI: Sense of Belonging Index.

dCoD: Color of Drinking.

eUW-Madison: University of Wisconsin-Madison.

fWilcoxon rank sum test (P value).

gScore ranges from 0 to 5.

hScore ranges from 5 to 30.

Additionally, 27 of 67 students of color answered that in their time at UW-Madison they had experienced a microaggression on campus or surrounding areas. They scored higher on the REMS than the rest of the students.

Lastly, 41 of 98 students answered that the alcohol culture impacted their overall sense of belonging at UW-Madison. These students scored lower in the SBI in comparison with the rest of the students (Table 4).

Redesign and Assessment for Questions With Low Performance and Developing the Final Questionnaire

The “health impacts” section showed a low test-retest reliability. When the qualitative responses were evaluated, students brought up different interpretations but also very profound answers and concepts, such as mental health struggles or experiencing sexual assault. Based on these results, the decision was made to rewrite and retest the validity of this question grounded on the evaluation of content validity, and other series of in-depth interviews were used to generate a revised set of questions. Eight items were developed for the personal consumption of alcohol on diverse aspects of health, and the same number of items were included for the consumption of others.

Online surveys were conducted including the 16 new items with another sample of undergraduate students selected following the same procedures. The sample included 118 students who completed the first questionnaire. Most participants were women (84, 71%), and 66 participants were self-identified as White. Sixty-seven participants also completed the second questionnaire.

The results for internal consistency and test-retest reliability were Cronbach α values of .735 and .855, for each set of questions, respectively, and most of the items presented κ coefficients from 0.476 to 0.877 (Tables S5 and S6 in

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KBMultimedia Appendix 1).


The validation process outlined here included the assessment of reliability and validity of the Color of Drinking questionnaire, used in an exploratory study of the impact of UW-M’s alcohol culture on students of color. The process of validating the original questionnaire resulted in a revised instrument, that showed good internal consistency, acceptable to good test retest reliability for most items and good construct validity.

In the alcohol and academics dimension, we found that questions related to personal academic consequences had higher internal consistency and a higher Cronbach α than the other questions in the same dimension. Questions about the secondhand negative academic consequences were found to be highly relevant but not highly correlated with each other. The question “my professors or TAs invited me out to places where alcohol is served” tested poorly when placed with the other secondhand academic consequences. For the finalized questionnaire we decided to separate the personal academic consequences, and secondhand negative consequences as 2 separate subdomains. We also removed the aforementioned question due to some unclearness about the scope and meaning of the item identified during the qualitative interview and little consistency with other items in the expected subdomain.

In the bystander intervention dimension, there were issues with test-retest reliability among 4 questions. Bystander discrimination questions from the questionnaire had low test-retest reliability. The questions were more prone to variation over time than the other bystander questions. The decision was made to remove these 4 questions from the finalized version of the questionnaire. Other validation processes in college settings show adequate validity and reliability when assessing other types of bystander interventions [Banyard VL, Plante EG, Moynihan MM. Rape prevention through bystander education: bringing a broader community perspective to sexual violence prevention. NCJRS; 2005. URL: https://www.ncjrs.gov/pdffiles1/nij/grants/208701.pdf [Accessed 2025-03-20] 24].

The health impacts section showed a low test-retest reliability, however based on responses there was important information to include in this section. Thus, the section was rewritten and tested, reaching good reliability.

A questionnaire designed for populational health studies should capture what it was meant to collect when designed in a reliable manner [Taherdoost H. Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research. SSRN Electron J Elsevier BV; 2016. [CrossRef]25,Aithal A, Aithal PS. Development and validation of survey questionnaire & experimental data – a systematical review-based statistical approach. IJMTS. 2020;5(2):233-251. [CrossRef]26]. This validation process will not only allow us to measure what we want to measure but also will make our data comparable over time and with other college settings [Kazi AM, Khalid W. Questionnaire designing and validation. J Pak Med Assoc. May 2012;62(5):514-516. URL: http://ecommons.aku.edu/pakistan_fhs_mc_women_childhealth_paediatr/14 [Accessed 2025-03-20] [Medline]27] .

This study has limitations. Although there was a random selection of students invited to participate, we recognize that those more sensitive to racial issues may have been more likely to take part in this study. This potential selection bias could influence the generalizability of our findings to the broader university population.

In conclusion, the process of validating the original questionnaire for the Color of Drinking study resulted in a revised instrument, that showed good internal consistency, acceptable to good test-retest reliability for most items and good construct validity.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Additional materials: additional tables S1-S6.

DOCX File, 45 KB

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AUDIT: Alcohol Use Disorders Identification Test
REMS: Racial and Ethnic Microaggression Scale
SBI: Sense of Belonging Index
UW-Madison: University of Wisconsin-Madison


Edited by Taiane de Azevedo Cardoso; submitted 24.07.24; peer-reviewed by Alejandra Ortega, Yolanda Pardo; final revised version received 11.02.25; accepted 19.02.25; published 07.04.25.

Copyright

© Agustina Marconi, Reonda Washington, Amanda Jovaag, Courtney Blomme, Ashley Knobeloch, Vilma Irazola, Carolina Muros Cortés, Laura Gutierrez, Natalia Elorriaga. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 7.4.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.i-jmr.org/, as well as this copyright and license information must be included.