"... In PAGE 57: ...50% 55.26% Table1 0: RDWT with Delta and Stacking Filters... In PAGE 58: ...80% 53.84% Table1 1: Contextual Filters with the RDWT for EMG Processing... In PAGE 59: ...30% 48.01% Table1 2: Special Wavelet EMG Features... ..."

"... In PAGE 99: ... We again examined the correlations between the factors resulting from the oblique rotation. These are shown in Table14 . Knowledge building (factor 1) was positively correlated with student collaboration (factor 3), self-regulation (factor 6), and question asking (factor 5).... ..."

"... In PAGE 24: ... Moreover, for f(gpa), I report results using polynomials of various orders. Using a probit specification, Table6 reports the marginal impact of having a GPA at or above the Cal Grant threshold in 1998 and 1999 on the probability of attending college in the subsequent year, including a cubic polynomial in GPA (as will be shown below, the results are not sensitive to the choice of polynomials quadratic and above). The results are reported for 1998 and 1999 separately, with and without including other covariates (other than the polynomial in GPA), for the full sample and for the subsample of applicants for whom all their college choices were included in the NSC database, and for the three financial eligibility categories.... In PAGE 24: ... (All marginal impacts were calculated using the mean characteristics of those across the three financial eligibility categories.) There are five findings worth noting in Table6 : First, the results suggest statistically significant increases in college enrollment at the GPA thresholds in 1998 for those who were financially eligible for the Cal Grant A. For the subsample with full NSC coverage of their college choices, the difference in college going immediately above and below the GPA threshold was roughly 4.... In PAGE 25: ... There were no discontinuities in either behavior at the GPA threshold for any of the subgroups.) Finally, as reported on the second page of Table6 , the impacts which were statistically significant in 1998 were generally not statistically significant in 1999. Although there is no single explanation for the differing results, there are several possible explanations.... In PAGE 34: ... If we were to divide the 4.2 percentage point estimate in Table6 by $3609, it would yield an estimate of 1.2 percentage point difference in college enrollment for every $1000 difference in price.... In PAGE 36: ... Using the 4.2 point estimate from Table6... In PAGE 46: ... Table6 . Marginal Impacts of Crossing Calgrant GPA Threshold on College Going in the Subsequent Year: 1998 Fin.... ..."

"... In PAGE 24: ... Moreover, for f(gpa), I report results using polynomials of various orders. Using a probit specification, Table6 reports the marginal impact of having a GPA at or above the Cal Grant threshold in 1998 and 1999 on the probability of attending college in the subsequent year, including a cubic polynomial in GPA (as will be shown below, the results are not sensitive to the choice of polynomials quadratic and above). The results are reported for 1998 and 1999 separately, with and without including other covariates (other than the polynomial in GPA), for the full sample and for the subsample of applicants for whom all their college choices were included in the NSC database, and for the three financial eligibility categories.... In PAGE 24: ... (All marginal impacts were calculated using the mean characteristics of those across the three financial eligibility categories.) There are five findings worth noting in Table6 : First, the results suggest statistically significant increases in college enrollment at the GPA thresholds in 1998 for those who were financially eligible for the Cal Grant A. For the subsample with full NSC coverage of their college choices, the difference in college going immediately above and below the GPA threshold was roughly 4.... In PAGE 25: ... There were no discontinuities in either behavior at the GPA threshold for any of the subgroups.) Finally, as reported on the second page of Table6 , the impacts which were statistically significant in 1998 were generally not statistically significant in 1999. Although there is no single explanation for the differing results, there are several possible explanations.... In PAGE 34: ... If we were to divide the 4.2 percentage point estimate in Table6 by $3609, it would yield an estimate of 1.2 percentage point difference in college enrollment for every $1000 difference in price.... In PAGE 36: ... Using the 4.2 point estimate from Table6... In PAGE 47: ... Table6 . Marginal Impacts of Crossing Calgrant GPA Threshold on College Going in the Subsequent Year: 1999 (Continued) Fin.... ..."

"... In PAGE 40: ...89. I studied the level of debt among college students by calculating frequency distributions and summarized the data in Table3 . The first measure of debt was amount of balance rollover on credit cards.... ..."