The Journal of College and University Student Housing - Volume 36, No. 2 - 74

Frank Shushok, Jr. • Rishi Sriram

sistency (Cronbach’s alpha) ranges between .79 and .90. As noted in Gall, Borg, and Gall (1996), reliability of .80 or higher suggests that results are generally suitable for most research purposes.

cant results (alpha < .05) and associated odds ratios are as follows: Met informally or socially with a faculty member outside of class or faculty office. There was a statistically significant association (c2 = 10.3836, p-value = 0.0013). The odds of a favorable response are estimated to be 7.4164 times higher for LLC students than for non-LLC students. A 95% confidence interval for this odds ratio is (1.5978, 34.4068). Discussed academic issues with a faculty member outside of class or faculty office. There was a statistically significant association (c2 = 6.2414, p-value = 0.0125). The odds of a favorable response are estimated to be 4.1538 times higher for LLC students than for non-LLC students. A 95% confidence interval for this odds ratio is (1.2837, 13.4414). Met in an organized study group or informally with other students to prepare for an academic assignment. There was a statistically significant association (c2 = 4.6335, p-value = 0.0314). The odds of a favorable response are estimated to be 2.5333 times higher for LLC students than for non-LLC students. A 95% confidence interval for this odds ratio is (1.0763, 5.9625). Satisfaction with your overall experiences where you currently live. There was a statistically significant association (c2 = 9.2960, p-value = .0023). The odds of a favorable response are estimated to be 14 times higher for LLC stu-

DATA ANALYSIS
The sample size of 97 students resulted in sparse data in many of the categories of the ordinal responses. Thus, the levels were collapsed to binary responses (positive response versus negative response), allowing the researchers to make more valid conclusions. For each question of the survey, a hypothesis test was performed: • HO: There is no association between LLC participation and response. • HA: There is an association between LLC participation and response. The usual method for testing these hypotheses is Pearson’s chi-square statistic. This statistic essentially compares the counts that were observed in each cell to the counts that would be expected if the null hypothesis were true (that is, if there was no association). If the observed counts are very different from the expected counts, then the null hypothesis is rejected. For each question in the survey, the responses were analyzed using Pearson’s chisquare test for association. As a measure of the strength of the relationship between LLC participation and survey response, odds ratios were computed with 95% confidence intervals.

RESULTS
In analyzing comparisons between LLC and non-LLC students, statistically significant results were found in four instances. Signifi74

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The Journal of College and University Student Housing - Volume 36, No. 2

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