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of correct non-word decoding per minute (CNWPM), oral reading score (ORF) and reading

comprehension, over 80% student score zero in the main sample. Only in case of listening

comprehension is the percentage of children scoring above zero is high.

Figure 3.4.11: Mean Scores in Correct Letters ğper Minute, Non-Word Decoding and Oral

Fluency, EGRA 2014

Table 3.4.2

presents OLS regression estimates of the determinants of CLSPM, CNWPM and ORF.

Consistent with figure 3.4.1, government school students have noticeably low scores compared

to their peers from IQTE. However, all else equal, spending an extra year in school (i.e. being

enrolled in grade 3) has no significant influence on learning outcomes. The coefficient on pre-

school attendance is only significant (and positive) in case of CNWPM. Another school readiness

indicator, being absent from school last week, is only significant and negative in case of CLSPM.

Eating a meal before coming to school and speaking Hausa at home does not affect learning

outcomes. Turning to family factors, wealth matters only in case of CLSPM – in other two

learning outcomes, wealth variables are insignificant.

Among school-level factors, provisions of a library and toilet are significantly and positively

associated with all there domains of language skills. In contrast, teacher-pupil ratio is always

insignificant. While electricity has a positive correlation, the negative association between

learning outcomes and drinking water provision is counter-intuitive. The (language) teacher

absence on the day of the test significantly lowers test scores in terms of CLSPM and ORF.

Table 3.4.2: OLS Regression Estimates of Competencies in EGRA (Hausa) 2014

(1)

(2)

(3)

VARIABLES

CLSPM

CNWPM

ORF

female

-0.629

-0.951*

-1.516**

(0.513)

(0.377)

(0.585)

Enrolled in grade 3

0.806

0.510

0.586

(0.575)

(0.402)

(0.618)

Government school

-4.156**

-8.645**

-17.13**

(1.171)

(1.292)

(2.283)