Application of ordinal logistic regression in the study of students' achievement in external testing

• Author: Sadri Alija
• Position: Faculty of Business and Economics, SEEU, Tetovo, Macedonia-FYROM
• Pages: 17-22

Bulletin of the Transilvania University of Braşov

Series VII: Social Sciences • Law • Vol. 8 (57) No. 1 - 2015

APPLICATION OF ORDINAL LOGISTIC

REGRESSION IN THE STUDY OF

STUDENTS’ ACHIEVEMENT IN

EXTERNAL TESTING

Sadri ALIJA1

Abstract: The logistic regression describes the relationship between a

binary (dichotomous) response variable and explanatory variables. In this

study, we have implemented logistic regression to evaluating the probability

of passing the external Testing to students in Economics' Secondary School

''8 Shtatori'' in Tetovo, Macedonia. Drawing on SEC (State Examination

Center) for external testing database, Gender, Ethnicity, School year and

Subjects of the Course are selected as predictive variables. The results verify

that students Macedonian has 7.3 times more chance to gain a passing grade

in External Testing compared to a student Albanian, students of second-year

has 12.2% less chance to gain a passing grade in External Testing compared

to a students of first-year, also students of third-year have 12.2% less chance

to gain a passing grade in External Testing compared to a students of

second-year.

Key words: Binary logistic regression, Odds Ratio, External Testing,

Students’ Achievement.

1 Faculty of Business and Economics, SEEU, Tetovo, Macedonia-FYROM.

1. Introduction

Logistic regression analysis is a popular

and widely used analysis that is similar to

linear regression analysis except that the

outcome is dichotomous (e.g.,

success/failure or yes/no or died/lived).

Logistic regression and linear discriminant

analyses are multivariate statistical

methods which can be used for the

evaluation of the associations between

various covariates and a categorical

outcome.

The achievement measure corresponding

to different independent variables may be

analyzed using logistic regression analysis.

Logistic regression has been successfully

employed in the social sciences [1], [5],

[10], [15], in medical and health sciences

[2], and in education-al research-especially

in higher education [3], [4], [13].

The Mini-Mental State Examination

(MMSE) was introduced as a brief

assessment of cognitive functioning [6].

The 3MS extends the MMSE. It adds four

additional sub-tests (date and place of

birth, word fluency, similarities, and

delayed recall of words).

Several research groups have used a

regression-discontinuity design to examine

the educational consequences of failing an

exit examination. These analyses examine