Female 133 39.35 39.35 Male 205 60.65 100.00 338 100.00 Table 5. Frequency of Hispanic Hispanic Freq. Percent Cum. Not 308 91.12 91.12 Hispanic Hispanic 30 8.88 100.00 Total 338 100.00 There are several limitations to the data used in this thesis. First, because survey data are being used, all answers are self-reported and may not be accurate due to respondents misremembering or not having full information to answer some survey questions. For example, a respondent may misremember the zip code of their hometown when applying to college, which would affect the value of distattend. Second, because survey respondents were being paid, there was some incentive for a respondent to complete the survey even if they did not fill the eligibility requirements. Also, some respondents could be just clicking randomly to get through the survey as quickly as possible, and not providing thoughtful answers. Much of this problem has been eradicated by including several attention checks in the survey as described in the Methodology section and in Appendix I, but there remains a possibility that some respondents were able to get through the attention checks without providing thoughtful answers to all questions. Additionally, there may be determinants of undermatching that are not included as variables in the regression. Not all determinants of undermatching are known or able to be easily measured, which restricts how undermatching can be modeled. Nonetheless, the
Female 133 39.35 39.35 Male 205 60.65 100.00 338 100.00 Table 5. Frequency of Hispanic Hispanic Freq. Percent Cum. Not Hispanic 308 91.12 91.12 Hispanic 30 8.88 100.00 Total 338 100.00 There are several limitations to the data used in this thesis. First, because survey data are being used, all answers are self-reported and may not be accurate due to respondents misremembering or not having full information to answer some survey questions. For example, a respondent may misremember the zip code of their hometown when applying to college, which would affect the value of distattend. Second, because survey respondents were being paid, there was some incentive for a respondent to complete the survey even if they did not fill the eligibility requirements. Also, some respondents could be just clicking randomly to get through the survey as quickly as possible, and not providing thoughtful answers. Much of this problem has been eradicated by including several attention checks in the survey as described in the Methodology section and in Appendix I, but there remains a possibility that some respondents were able to get through the attention checks without providing thoughtful answers to all questions. Additionally, there may be determinants of undermatching that are not included as variables in the regression. Not all determinants of undermatching are known or able to be easily measured, which restricts how undermatching can be modeled. Nonetheless, the
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