EFFECTS OF INTERVIEW MODE ON SELF-REPORTED DRUG USE

The effects of interview mode on 18- to 34-year-olds' self-reportedtobacco, alcohol, marijuna, and cocaine use were investigated.RDD telephone and personal drug use surveys of the state ofNew Jersey were conducted in 1986–87. In the personalinterview, respondents recorded their drug use on self-administratedanswer sheets. Compared to the area probability sample in thepersonal interview, RDD yielded a sample of blacks higher inincome and education, and more likely to be married and currentlyemployed; white SES was also higher in the telephone sample,but to a lesser degree than for blacks. Controlling for demographiccharacteristics and RDD's exclusion of non-telephone households,the telephone survey yielded significantly lower estimates ofblacks' alcohol consumption, and lifetime and recent marijuanause. Whites' alcohol consumption was slightly lower by telephone;otherwise, estimates of whites' use of the four substances werenearly identical in the two modes. Sample coverage, respondentdemographic characteristics, and racial matching of interviewerand respondent did not account for the significant mode differences.Characteristics of the interview situation itself, such as provisionof privacy in the self-administered format, may have influencedtendencies toward socially desirable responding to a threateningtopic such as drug use.     

A Comparison of Address-Based Sampling (ABS) Versus Random-Digit Dialing (RDD) for General Population Surveys

Valid and reliable public health data are becoming more difficultto obtain through random-digit dial (RDD) telephone surveys.As a result, researchers are evaluating different survey designs(i.e., sampling frame and survey mode combinations) as complementsor alternatives to RDD. Traditionally, mail surveys of the generalpublic have been limited due to a lack of a complete samplingframe of households. Recent advances in electronic record keeping,however, have allowed researchers to develop a sample from aframe of addresses (e.g., the U.S. Postal Service Delivery SequenceFile, which appears to provide coverage which rivals or possiblyexceeds that obtained through RDD sampling methods). To testthe use of this frame for surveying adults aged 18 years andolder across a wide geographic area, a pilot study was conductedas part of the 2005 Behavioral Risk Factor Surveillance System(BRFSS). The pilot compared use of a traditional, RDD telephonesurvey methodology to an approach using a mail version of thequestionnaire completed by a random sample of households drawnfrom an address-based frame. The findings indicate that themail survey approach can achieve higher response rates in low-response-ratestates (<40%) than RDD (particularly when two mailings aresent). Additionally, the address frame with mail survey designprovides access to cell phone only households and offers costsavings over the telephone approach. The resulting sample, however,significantly overrepresents non-Hispanic whites and peoplewith higher levels of education.     

Evaluating the Effects of Screening for Telephone Service in Dual Frame RDD Surveys

The high costs and largely unknown error properties of cellulartelephone interviews make screening for cell-only adults a potentiallyattractive option in dual frame RDD surveys. Screening out adultswith landline telephones from the cellular sample does not affectthe coverage properties of a dual frame survey, but it may affectother sources of error, especially nonresponse. In this study,data from a 2006 dual frame RDD survey conducted for the PewResearch Center, the Associated Press, and AOL are used to evaluatethe effects of implementing a cell-only screener on both thebias and variance of weighted survey estimates. The effect ofscreening appears to be minimal so long as an adjustment fortelephone service is included in the weighting method. Resultsof an attempt to correct for residual nonresponse due to inaccessibilityare also discussed.     

Monitoring youth behavior in response to structural changes. Alternative approaches for measuring adolescent drinking

Random digit dial (RDD) telephone and self-administered school-based surveys of drinking and drinking and driving were compared for adolescents from two Northern California communities. The RDD and school-based surveys resulted in very different samples. The telephone sample contained a greater proportion of European Americans and a smaller proportion of Asian Americans and "other" ethnicities. Respondents to the telephone sample also tended to be older and of higher socioeconomic status (SES). The telephone survey captured very few school dropouts. Moreover, it resulted in lower self-reports of drinking and drinking and driving. Survey mode appeared to influence respondents equally, regardless of their gender, age, ethnicity, or SES.     

Finding Subgroups for Surveys

This article reports on an experiment comparing two methodsfor selecting national samples of blacks. The experiment wascarried out as part of the 1982 General Social Survey (GSS).One sample was selected using area probability sampling withthe selection probability for an area proportional to the sizeof its black population. The other sample was selected by samplingextra dwelling units in areas selected for the regular GSS.Although comparable in other respects, the two methods differedsharply in costs and statistical efficiency. The sample selectedfrom the special black frame proved less expensive to interviewand required fewer screening interviews in order to locate householdswith black members. The sample selected in the same areas asthe regular GSS sample exhibited a smaller "design effect"—probablybecause fewer respondents were selected from each sample area.The decision to use one method or the other to sample rare subgroupswould depend on several factors, including the degree to whichthe subgroup is segregated, the amount of savings possible throughpiggybacking, and the relationship between screening and interviewingcosts.     

TEENAGE RISKY BEHAVIOR AND PARENTAL SUPERVISION: THE UNINTENDED CONSEQUENCES OF MULTIPLE SHIFTS SCHOOL SYSTEMS

We study the relationship between attending high school at night and the probability of engaging in risky behavior, such as having unsafe sex or consuming substances. To address potential endogeneity concerns we take advantage of a random assignment of high school students to daytime and night shifts in the city of Buenos Aires. Using an original survey on students attending their last year of high school, we find that girls attending high school in the evening start having sex at an earlier age and present a higher probability of getting an abortion. We find no significant differences for substance use. Our experimental approach suggests that the link between high school shift and risky behavior is causal. Results hold when we use an alternative sample of alumni. Finally, we report evidence that the lack of parental supervision is the mechanism underlying our results. (JEL I12, I25, J13)     

Comparison of web and mail surveys in collecting illicit drug use data: a randomized experiment

This randomized experiment examined survey mode effects for self-reporting illicit drug use by comparing prevalence estimates between a Web-based survey and a mail-based survey. A random sample of 7,000 traditional-aged undergraduate students attending a large public university in the United States was selected to participate in the spring of 2001. Students were randomly assigned to self-administer a survey via the Web or U.S. mail. The Web survey produced a significantly higher response rate than the U.S. mail survey. The prevalence estimates of illicit drug use (lifetime and past year) did not differ significantly between the two survey modes. The findings provide preliminary evidence that Web and U.S. mail surveys produce similar results regarding illicit drug use among undergraduate students. Although additional research is needed involving more diverse samples, these findings bode well for using Web surveys in college-based research.     

INTERVIEWER GENDER AND GENDER ATTITUDES

This research addresses the effects of interviewer gender onresponses to a broad array of gender-related survey questions,using data from a probability sample of adults in the UnitedStates. We focus on whether gender-of-interviewer effects areevident, whether they vary by respondent gender, and whetherthey vary across several attitudinal domains relevant to genderinequality. While many items do not show statistically significantgender-of-interviewer effects, we document significant effectsacross a variety of items. When such effects are evident, theytend to involve both male and female respondents expressingmore egalitarian gender-related attitudes or greater criticismof existing gender inequalities to female interviewers. Malerespondents offer significantly different responses to maleand female interviewers on questions dealing with gender inequalityin employment. For female respondents, interviewer-gender effectsare evident for items addressing gender-related collective action,policy, and group interests. Using multivariate models thatallow us to represent both respondent-level and interviewer-levelvariables, we find that interviewer-gender effects are statisticallysignificant in most attitudinal domains but that the interactionbetween interviewer gender and respondent gender does not tendto be statistically significant. We consider the implicationsof these findings both for understanding the survey processand for understanding gender relations more generally.     

Estimating Residency Rates for Undetermined Telephone Numbers

The method for estimating residency rates in random digit dial(RDD) telephone surveys is important for computing responserates. This article reviews existing methods of estimating residencyrates and introduces a new "survival" method that takes advantageof more information to provide improved estimates. Examplesof applying this to large RDD samples are given along with suggestionsfor use of the method in other surveys.     

INTERVIEWING OLDER ADULTS: MODE COMPARISON USING DATA FROM A FACE-TO-FACE SURVEY AND A TELEPHONE RESURVEY

A face-to-face survey conducted in 1984 with a sample of 1491residents of the Detroit metropolitan area (including an oversampleof older adults) and a reinterview of a random subset of theserespondents by telephone were used to compare the two modesof data collection across two age levels. Except for a tendencytoward a disproportionately large number of DK answers and adisproportionately large amount of interviewer assistance onthe telephone, respondents 60 years of age and older did notexhibit larger mode differences than did respondents under 60.For both age groups, response distributions were rather similar,suggesting little effect of mode. Likewise, response style differedlittle by mode, while a higher proportion of missing data (i.e.,"I don't know" answers) was given on the telephone. The responserate for the telephone reinterview was 90%, somewhat lower forolder than younger persons. The findings support the feasibilityof using the telephone for reinterviewing older adults.     

A national survey of alcohol screening and referral in college health centers

To determine the extent and nature of alcohol screening and referral services provided by college health centers, the authors conducted a state-stratified, random sampling of 25% of 327 4-year accredited US colleges and universities with health centers. Of the 249 survey respondents, 32% routinely screened students for alcohol use. Urban, public, and large institutions were most likely to screen routinely. Only 11.7% of the sample reported they used standardized instruments, predominantly the CAGE. The health centers used an average of 3.4 referral options, but only 27.5% offered students access to campus programs specifically designed for students who are substance abusers. Findings suggest that the majority of college health centers are not providing routine alcohol screening for students or using standardized screening instruments. In addition, students are often referred to services that may be inappropriate or ineffective in addressing the needs of college drinkers.     

The Influence of Incremental Increases in Token Cash Incentives on Mail Survey Response: Is There an Optimal Amount?

The research reported is from a large-scale, national, mixed-modesurvey (N = 49,675 addresses), in which token incremental, noncontingentincentives used in the second (mail) stage of the survey weretested in an experimental design. The levels of the incentivestested ranged from $0 to $10, in one-dollar increments, withthe exception that there was no $9 condition. Furthermore, theexperiment was conducted using three types of household addressesthat originally were sampled in the first stage of the mixed-modesurvey via a random digit dial (RDD) frame: (1) households thatagreed to participate in the mail stage of the survey; (2) householdsthat were never contacted in the RDD stage despite numerouscontact attempts; and (3) households that had refused to participatewhen contacted in the RDD stage. It was determined that amongthose households that had previously agreed to participate,even those that received no cash incentive ($0) were more likelyto return completed surveys than the groups of previously noncontactedand previously refusing households that received $10. It wasalso found that the nature of the outcome of the prior contactwith the household mediated (that is, interacted with) the proportionaleffects of the incremental incentives, in ways only partiallyconsistent with Dillman’s social exchange theory. Thefindings, which are consistent with leverage-salience theory,suggest that if there is an optimal amount for an incentiveto use in a mail survey, then it is a variable amount best targetedto the individual household.     

USING DUAL FRAME DESIGNS TO REDUCE NONRESPONSE IN TELEPHONE SURVEYS

This article reports on the results of a series of experimentsdesigned to improve response rates for telephone surveys. Inthree surveys telephone households were selected using bothstandard random digit dialing (RDD) techniques and lists oftelephone numbers purchased from a commercial firm. In the RDDportions of the samples "cold contact" interviewing methodswere used; in the list frame portions advance letters were mailed,and the listed household name was used in the introduction.Experiments were designed to test the effects on response ratesof the advance letters and use of the listed household nameas a means of establishing rapport. The advance letters increasedresponse rates, but no difference could be attributed to theuse of names. The mixture of RDD and list sampling techniquesis also used to evaluate the effects of relative response rateson substantive findings. The cost consequences of these dualframe designs are assessed along a number of dimensions, andthe cost and error components of these designs are discussed.     

Exploring the association between alcohol,marijuana, and secondhand effects with rural college students

ABSTRACT

The current study investigated the association between secondhand effects and personal consequences with substance use in a sample of rural college students (N = 412; 55.1% women; 92.2% white/non-Hispanic). The study extends the body of secondhand effects research by (a) investigating the association of marijuana use with the experience of secondhand effects; (b) examining the association of onset risk of substance use (< 18 years old) with the experience of secondhand effects; (c) exploring the multiplicity of experienced effects associated with substance use by employing a four-category typology that exhaustively represents exposure to secondhand effects and personal consequences. Bivariate and multiple regression analyses were used to evaluate the data. The majority of students (90.3%) experienced undesirable effects from substance use, with 15% reporting only secondhand effects, 28.5% only personal consequences, and 46.8% reporting both secondhand effects and personal consequences. Residing on-campus, onset risk, and past 30-day alcohol or marijuana use increased risk for experiencing personal consequences and the combination of secondhand effects and personal consequences. Secondhand effects are likely to compound the harm for substance users because they often experience both secondhand effects and personal consequences.     

Psychosocial,Motivational, and Contextual Profiles of Youth Reporting Different Patterns of Substance Use During Adolescence

This research examined patterns of substance use and academic factors among a sample of 733 African‐American and European‐American adolescents from a metropolitan area. First, youth were classified into 11th grade high, moderate, or no substance use groups and classified as users, initiators, desistors, and nonusers based on eighth and 11th grade use. Nonusers did not differ in eighth grade from 11th grade moderate users and initiators over time. Eighth graders who reported misbehavior and having low‐achieving friends were more likely to be high 11th grade users and users at both grades. Direct achievement effects were not found; however, interactions indicated achievement was protective when paired with having fun at school, high task value, and low levels of socioeconomic status (SES); and was a risk factor when paired with positive self regard, low fun at school and high SES. Cluster analyses indicated the most prevalent group of substance users reported high grades, social reasons for going to school, and having friends who do well in school.     

BIAS IN LIST-ASSISTED TELEPHONE SAMPLES

A number of researchers have suggested list-assisted samplingfor the selection of telephone households to overcome some ofthe operational difficulties associated with the Mitofsky-Waksbergmethods of random digit dialing (RDD). An advantage of a list-assistedmethod of RDD is that an equal probability systematic sampleof telephone numbers can be selected and the variances of estimatesfrom such a sample are usually lower than from a clustered designlike the Mitofsky-Waksberg method. The main disadvantage ofthe list-assisted method is that it excludes some householdsfrom the sample, thus creating a coverage bias in the estimates.This article describes research on the coverage bias for a particularmethod of list-assisted sampling. The two key determinants ofcoverage bias are the proportion of households that are noteligible for the sample and the differences in the characteristicsof the covered and not covered populations. The results showthat about 4 percent of all households are excluded in nationalsamples using this method of sampling. Furthermore, they showthat the differences between the covered and uncovered populationsare generally not large. The coverage bias resulting from theseconditions may often be small.     

Reaching a representative sample of college students: A comparative analysis

ABSTRACT

Objective: To explore the feasibility of a random-digit dial (RDD) cellular phone survey in order to reach a national and representative sample of college students. Methods: Demographic distributions from the 2011 National Young Adult Health Survey (NYAHS) were benchmarked against enrollment numbers from the Integrated Postsecondary Education System (IPEDS). The sample quality was compared with the Harvard School of Public Health College Alcohol Study (1993), National College Health Risk Behavior Survey (1995), and National College Health Assessment (2011). Results: Overall, the NYAHS performed as well, if not better, than previous college health surveys at reaching important demographic subgroups. Conclusions: Cellular phone RDD is one feasible approach for studies of the general population of college students that can potentially generate national estimates of health behavior.     

RESPONSE RATES AND RESPONSE CONTENT IN MAIL VERSUS FACE-TO-FACE SURVEYS

Two surveys were administered based on the same area probabilitysampling frame and with some of the same questions: one samplewas used for hour-long face-to-face interviewing in the 1992Detroit Area Study; the other sample received a much shorterquestionnaire in the mail for sell-administration. The samplesegments had previously been stratified in terms of the percentagethat was black. For the predominantly white stratum, there wasonly a small difference in response rates due to mode of administration.For the predominantly black stratum, the mail survey obtaineda considerably lower response rate then the face-to-face survey.Within the predominantly white stratum, there were no cleardifferences between results for the two modes of administrationin demographic variables or in gross housing characteristics.However, the mail survey respondents expressed more negativeattitudes toward racial integration and affirmative action thandid the face-to-face respondents. Because the mail sample ofthe predominantly black stratum was small, it was not possibleto carry out similar analyses of demographic or attitudinaldifferences, or to determine whether its lower response ratewas due mainly to race, to correlates of race such as incomeor education, or even to problems with mail delivery in centralcities.     

R&D AND CREDIT RATIONING IN SMEs

We study the effects of credit rationing on research and development (R&D) investment using survey and accounting data on a large representative sample of manufacturing small‐ and medium‐sized enterprises (SMEs). Our econometric model accounts for the endogeneity of our credit rationing indicator and employs an innovative theory‐based identification strategy. We find that credit rationing has a significantly negative effect on both the probability to set up R&D activities and on the level of R&D spending (conditioned on the R&D decision), but the overall estimated reduction in R&D spending is largely to be associated with the first effect. (JEL G21, D82, O32, C35)     

No place like home? Availability,opportunity, and substance use in adolescence

Surveys on drugs and alcohol availability show that (1) alcohol is much more easily accessible than both cannabis and tobacco, and that (2) many adolescents still do not find it ‘easy’ to access those substances. In the current study, we examine the importance of both opportunity and availability in assessing substance use in adolescence. Our measures of opportunity include skipping school and unstructured socializing, while availability measures include parental substance use and perceived availability of tobacco, alcohol, and cannabis at home. We draw from two waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health) survey, and distinguish between (a) predictors of Wave II substance use for the whole sample, and (b) predictors of Wave II initiation for those respondents who reported no use at Wave I. We find that availability at home and parental substance use is correlated with substance-specific current adolescent consumption, but these indicators are not associated with initiation behavior. Instead, initiation seems to be carried by unstructured socializing outside of the home, with availability at home acting as reinforcement once some level of substance use is established.