Research Article

A Bayesian Approach to Investigating Factors Influencing Polytechnic College Students’ Academic Achievement

Table 1

Frequency distribution of sociodemographic variables.

Independent variableCategoryCount (%)

GenderFemale238 (44.4)
Male298 (55.6)

Field of study (dept.)Secretarial science59 (11)
Hardware and network35 (6.5)
Industrial electrical machine and drive46 (8.6)
Engine service35 (6.5)
General metal fabrication33 (6.2)
Construction238 (44.4)
Front office28 (5.2)
Textile and garment11 (2)
Small scale irrigation and derange51 (9.5)

ReligionOrthodox164 (30.6)
Protestant289 (53.9)
Muslim29 (5.4)
Catholic50 (9.3)
Other4 (0.7)

Family residenceRural116 (21.6)
Urban420 (78.4)

Living with familyNo266 (49.6)
Yes270 (50.4)

Distance from school<1 km180 (33.6)
1–3 km160 (29.9)
>3 km196 (36.6)

Family monthly income (ETB)<75089 (16.6)
750–1500167 (31.2)
1500–3000122 (22.8)
>3000158 (29.5)

Family employment statusNeither employed195 (36.4)
Father or mother employed221 (41.2)
Both employed120 (22.4)

The highest educational level in the familyIlliterate99 (18.5)
Primary comp.138 (25.7)
Secondary comp.130 (24.3)
Certificate or diploma98 (18.3)
Degree or above71 (13.2)

Marital statusSingle488 (91.0)
Married48 (9.0)

Student income (in birr)<100132 (24.6)
100–300172 (32.1)
300–700133 (24.8)
>70099 (18.5)

Tuition feeStudent69 (12.9)
Family or relatives356 (66.4)
Government111 (20.7)

Total536