Abstract
Objectives
Drawing on prior theoretical and empirical work on survey participation, this study develops one potential method for increasing response rates and response quality in correctional surveys. Specifically, we hypothesize that providing inmates with a superficial survey choice (SSC)—that is, a choice between completing either of two voluntary surveys that are actually differently ordered versions of the same questionnaire—will increase their motivation both to participate in a given survey and to respond thoughtfully to the questions asked therein.
Methods
We test the effectiveness of this method by evaluating its impact on unit nonresponse, item nonresponse, and answer reliability. To do this, we analyze experimental data from a recent survey of male inmates incarcerated in a medium security, private prison.
Results
Findings indicate that the overall response rate is higher among inmates who are provided a survey choice. In addition, the evidence shows that the SSC method increases the percentage of individual items completed, the number of demanding questions completed, and the reliability of reported responses.
Conclusion
The results from the analyses are consistent with the hypotheses that motivated this study and suggest that the SSC method holds promise as a tool for correctional researchers.
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Notes
Indeed, based on their experiences interviewing inmates, Fox et al. (2011: 318) suggest that one take away lesson for researchers conducting correctional surveys is to “anticipate low response rates.”
Consider, for example, the low likelihood that an adult resident of the United States has not at some point received a request to participate in either an academic or government-sponsored survey, market research, or a political poll.
In total, 150 inmates participated in the survey. However, one inmate in the experimental group began circling every possible response category after question 44. While we counted responses as not missing for those inmates who circled two answers on a single question (e.g., “White” and “Latino” on the race measure), this particular inmate is an exceptional case. Because of the issue created in measuring item response for someone who clearly circled all responses on purpose, we made a decision to drop this case from the analyses. Therefore, the data reported in the paper is based on a sample size of 149 inmates, as opposed to 150 inmates. Results from ancillary analyses with this inmate included were substantively identical to those reported in the text.
Examples of questions with below average item response rates include: “How many different times have you been convicted of a crime including those that resulted in probation, jail, prison, or a fine?,” and “In the year before you came to prison, what type of neighborhood did you live in … mostly White, mostly Asian, mostly Hispanic, mostly Black, or racially mixed?”.
The Levene’s test for homogeneity of variance was significant, indicating that the variances across the experimental and control group are not homogenous. To account for this issue, we used a simulated ANOVA to perform simulations given the pattern of sample sizes and standard deviations, assuming the means are equal, and assess the Type I error rate that would be expected. A simulated ANOVA was conducted for both Percent Complete and Demanding Item Count. The simulated p value was still less than 0.01 for the analysis of Percent Complete and less than 0.001 for the analysis of the Demanding Item Count, indicating significant mean differences in the Percent Complete and Demanding Item Count across the two groups.
In supplementary analyses, we reestimated the models for Percent Complete and Demanding Item Count after imputing missing values on the control variables with two different imputation strategies: mean imputation and multiple imputation (m = 10). The results from these analyses were substantively similar to those reported in the text, with the exception that the negative coefficient for the variable Black became significant in the multiple imputation models.
The regression analysis of Self-Control 2 on Self-Control 1 for inmates in the experimental and control groups was also conducted using both mean imputation and multiple imputation (m = 10) for missing values on the control variables. The results were substantively similar to those obtained using list wise deletion.
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Appendix: Items Included in Low Self-Control Indices
Appendix: Items Included in Low Self-Control Indices
Low Self-Control 1
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1.
I often act on the spur of the moment without stopping to think.
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2.
I dislike really hard tasks that stretch my abilities to the limit.
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3.
Sometimes I will take a risk for the fun of it.
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4.
I like to get out and do things more than I like to read or contemplate ideas.
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5.
I try to look out for myself first, even if it means making things difficult for other people.
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6.
I lose my temper pretty easily.
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7.
When I’m really angry, other people better stay away from me.
Low Self-Control 2
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1.
I am more concerned with what happens to me in the short run than in the long run.
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2.
I often do whatever brings me pleasure here and now, even at the cost of some distant goals.
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3.
I frequently try to avoid projects that I know will be difficult.
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4.
The things in life that are the easiest to do bring me the most pleasure.
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5.
I sometimes find it exciting to do things for which I might get into trouble.
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6.
I almost always feel better when I am on the move than when I am sitting and thinking.
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7.
I seem to have more energy and a greater need for activity than most other people my age.
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8.
I’m not very sympathetic to other people when they are having problems.
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9.
When I have a serious disagreement with someone, it’s usually hard for me to talk calmly about it without getting upset.
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Pickett, J.T., Metcalfe, C.F., Baker, T. et al. Superficial Survey Choice: An Experimental Test of a Potential Method for Increasing Response Rates and Response Quality in Correctional Surveys. J Quant Criminol 30, 265–284 (2014). https://doi.org/10.1007/s10940-013-9203-4
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DOI: https://doi.org/10.1007/s10940-013-9203-4