Table 1.
Participant Demographics, Academic Skills, and Language Skills
N | 64 |
Female | 28 |
% Female | 0.44 |
Age (SD) | 12.64 (0.81) |
Word reading fluency | 86.21 (13.78) N = 63 GSS |
Letter word reading | 88.79 (15.16) N = 63 GSS |
Reading comprehension | 86.60 (13.06) N = 63 GSS |
Math fluency | 87.81 (10.31) N = 63 GSS |
Math computation | 91.30 (12.93) N = 63 GSS |
English vocabulary | 80.13 (10.94) N = 63 GSS |
English proficiency | 6.87 (1.94) N = 60 ARS |
Spanish proficiency | 7.49 (2.02) N = 60 ARS |
Non-verbal IQ | 15.39 (3.53) N = 64 CRS |
Hispanic/Latino | 64 |
American Indian/Alaskan Native | 2 |
Asian | 0 |
Black | 0 |
Native Hawaiian | 0 |
White | 23 |
More than one race | 0 |
Other (unspecified) | 8 |
Note: Mean (and standard deviation in parentheses) are provided when applicable. Standardized measures of reading fluency, word reading, math computation, and math fluency were measured with the Kaufman Test of Education Achievement III (Kaufman, 2014); reading comprehension was measured with the Gates-MacGinitie Reading Test (MacGinitie et al., 2000); English vocabulary was measured with the Woodcock-Johnson III (Woodcock et al., 2001); and Spanish and English proficiency were measured with an adapted version of the Language and Social Background Questionnaire (Anderson et al., 2018) with a range of 1–10 with higher scores meaning higher proficiency in that language. Non-verbal IQ was measured with the Matrix Reasoning subscale from the Wechsler Abbreviated Scale of Intelligence (Wechsler, 1999). Race/ethnicity information other than Hispanic/Latino was not available for all participants. Abbreviations: ARS = average raw score; CRS = calculated raw score; GSS = grade standard score.