Download presentation
Presentation is loading. Please wait.
Published byWalter Armstrong Modified over 9 years ago
1
Height and weight as predictors of achievement, grade repetition and dropout in rural Peru Santiago Cueto Group for the Analysis of Development (GRADE)
2
Peru - Study areas
3
Longitudinal Design 1998199920002001 Ideal progress4th grade5th grade6th grade 1st grade high school Data collected Baseline (Achievement and Anthropometry) NoAchievement Grade in school
4
Number of students by grades and situation in 2001 Primary school High school Total% Fourth grade Fifth grade Sixth grade First grade Attending45714725045880% Dropout60421611820% Total6499163 250576100%
5
Situation of dropouts from 2000 to 2001 Situation FemalesMales Returned to school7%3% Maintained its condition 57%33% Total64%36% n=86
6
Age, height, weight of students in 1998 by situation in 2001 AttendingRetainedDropouts MSDM M Height for age-2.2 a 1.0-2.2 a 0.9-2.3 a 1.0 Student's age11.4 a 1.711.0 a 1.513.1 b 2.1 Weight for age-1.4 a 0.8-1.4 a 0.7-1.3 a 0.8 Body mass index17.1 a 1.716.8 a 1.418.5 b 2.3 *Means with different superscripts in each group indicate differences are significant (p<0.05).
7
Other Characteristics of the students according to their condition in 2001 AttendingRetainedDropouts MSDM M Proportion of students who attended preschool0.68 a 0.470.68 a 0.470.63ª0.49 Student’s proficiency in Spanish (3 point scale)2.45 a 0.662.13 b 0.752.16 b 0.73 Number of siblings2.69 a 1.342.78 a 1.432.99ª1.63 Number of education books in the house (school texts, dictionaries, tales)4.26 a 1.713.96ª1.623.51 b 1.71 Proportion of the students who live with one or two parents0.94 a 0.250.86 b 0.350.59 c 0.49 Father’s education4.97 a 3.354.51ª3.093.82 b 2.86 Mother’s education2.73 a 3.442.57ª2.791.65 b 2.04 Mother uses Spanish to communicate with her child (proportion)0.64 a 0.480.45 b 0.50.38 b 0.49 Number of rooms in the house (without bathroom, kitchen, garage)2.61 a 1.552.32 a 1.451.91 b 1.23 Time from the house to school (in minutes)22.84 a 22.9128.68 a 32.7634.66ª41.06 *Means with different superscripts in each group indicate differences are significant (p<0.05).
8
Scores in Arithmetic test – common items (maximum possible score: 13 points) Grade in 2001 Arithmetic test (1998) Arithmetic test (2000) Variation (2000- 1998) Fourth and Fifth graders Mean4.3 c 7.5 b 3.2 Standard deviation2.52.8 N48 Sixth graders Mean5.0 c 8.4 b 3.5 Standard deviation2.32.7 N129 High school First graders Mean7.2 a 10.2 a 3.0 Standard deviation2.72.4 N222 Dropouts Mean6.2 b 7.9 b 1.6 Standard deviation2.53.3 N69 *Tests with different superscripts within each test administrated indicate differences are significant at the 5%.
9
Reading comprehension – common items (maximum possible score: 40 points) Grade in 2001 Reading comprehension test (1998) Reading comprehension test (2000) Variation (200- 1998) Fourth and Fifth graders Mean12.3 b 19.7 c 7.4 Standard deviation6.36.2 N59 Sixth graders Mean13.5 b 23.4 b 9.9 Standard deviation5.75.1 N143 High school First graders Mean19.4 a 26.8 a 7.3 Standard deviation6.25.6 N239 Dropouts Mean13.9 b 21.0 b,c 7.1 Standard deviation6.58.0 N78 *Tests with different superscripts within each test administrated indicate differences are significant at the 5%.
10
Results in Reading comprehension and arithmetic tests in 2000 – additional items (maximum possible score: 17 and 29 points respectively) Grade in 2001 Reading comprehension* Arithmetic* Fourth and Fifth graders Mean5.5 ª4.3 b Standard deviation2.84.3 N6160 Sixth graders Mean5.3 ª5.4 b Standard deviation3.04.0 N144146 High school First graders Mean6.0 a 7.8 a Standard deviation3.14.9 N248247 Dropouts Mean5.9 ª5.9 b Standard deviation3.85.8 N8085 *Tests with different superscripts within each test administrated indicate differences are significant at the 5%.
11
Correlation among nutrition variables and achievement ** Correlation significant at 1%, * at 5% (2 tailed)
12
Hierarchical Linear Model analysis for arithmetic and reading comprehension achievement 1998 and 2000 (common items)
14
Hierarchical Generalized Nonlinear Model analysis for pass to high school and dropout
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.