After we received your very helpful suggestions, we realized the scope of our initial submission was too broad. Our central research question concerns the policy implications of the curious finding that students with disabilities are more fearful of criminal victimization during the day than their fellow students. In short, our primary goal is to explore how universities and college administrators can implement policies and practices that work to ameliorate heightened daytime crime fears for students with disabilities and other vulnerable populations that share these concerns. What we submitted strayed too far from that goal.
In the current submission, we focus more clearly on the central research question and include quantitative analysis only to establish the continued significance of the finding upon which the policy analysis hinges. We have removed analytic content related to the role of prior victimization on fear of crime for students with disability. While that question is an important one, it distracts from our larger goal and has since been well addressed elsewhere (see Daigle, 2024).
We also feel it important to share that we submitted the original article identifying this relationship to another journal in August of 2020 and despite repeated inquiries, the journal failed to review the submission citing its inability to find reviewers. We made the decision to pull the article from that journal this spring and immediately resubmitted it to JSWWP. In the intervening years, work by Daigle et al (2024) has confirmed the key finding this work is based upon (students with disabilities having greater daytime fear of crime). We feel, given the validation of this finding, our goal to consider its implications is even more paramount. We hope you agree.
Reviewer comment -1
We have revised the paper and have edited the manuscript to improve readability. We expect you will find the new version has greater clarity.
They are used as synonyms in the paper to avoid overuse of the single term ‘criminal victimization’.
We have updated that section and removed the contradictory results.
Because of the renewed focus on policy, we have reduced the role of quantitative analysis in the paper, for that reason, consideration of the role of victimization has been removed. Therefore, the related tables have been edited or removed.
Because consideration of the role of victimization has been removed from this analysis this table has been deleted.
Thank you for catching that! We have corrected that notation.
We have added or amended prior tables to highlight the results of the statistical analyses included in the present submission.
A sentence clarifying the role of the key informants was added. Unfortunately, the data from which this study was taken does not include measures that would speak to the factors you identify. However, consideration of these factors is included in our suggestions for future research section.
Reviewer comment-2
We have refocused the framework of our paper to consideration of policy and procedural implications that higher education administrators might consider given higher fear levels for students with disability during the daytime. We feel the case for this research is clearer and more compelling.
Since we have removed consideration of the analysis of the role of victimization in the fear of crime, we have also removed most of the discussion of victimization in the review of the literature. The passages you identify are included in the content that was removed.
We very much appreciate the note and have updated the literature review to incorporate this and other literature that informs the relationship between disability and fear of crime.
This comment was particularly helpful in helping us refocus our paper. While the role of victimization is an important question, it was secondary to our larger concern with the practical implications of the fact that crime fears are significantly higher during the daytime for this vulnerable population.
For this paper, we are less interested in exploring predictors of fear of crime than understanding what greater fear of crime means for those experiencing it and for those who have some responsibility in managing or mitigating it college campuses. For that reason, we have attempted to draw the focus away from quantitative analyses except to the extent necessary to document the finding the policy analysis is drawn upon. Admittedly, this is a difficult task, and we hope we have found the appropriate balance.
In short, we wanted to avoid formal hypothesis testing and to minimize the role of quantitative analysis in this paper in favor of policy discussion. But, because of the newness of this finding, we feel it necessary to include data to show that the relationship identified in Daigle and colleagues (2024) work was not a fluke, and further, that the finding warranted deeper reflection and consideration in terms of its practical and policy implications.
Similar to the response for item 4, we felt factor analysis would work against simplification of the quantitative aspects of our paper. We did, in fact, conduct a factor analysis but the results did not advance what we were trying to do with this research. We found a 3-factor solution. All items loaded moderately or strongly on Factor 1 but Factors 2 and 3 included only a few items with mostly weak factor loadings (most at .4 or lower, two just over .5). Further, there were no discernable patterns between the items singly or in combination that could be identified for either factor 2 or 3. The scale does have a very strong reliability coefficient, however.
Nonetheless, the larger issue is that we are less concerned with parsimony of measures for our research than determining whether specific variables (e.g., location, time of day) do or do not shape crime fears.
We did not explore this path in this paper for two reasons. One involves the aforementioned effort to simplify and focus the quantitative analysis in favor of a discussion of policy. The second is the very small number of students with disabilities in our sample (53) who provided enough responses to relevant questions to allow for robust analysis (N=42-47) was quite low. We did run regression equations incorporating these variables (disability type, registration with disability services, assessment of the degree of functional limitation) but none were significant (no doubt due to empty/small cell sizes).
We have included a table of the regression results (Table 3) included in our trimmed down analysis.