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International Journal of Evaluation and Research in Education (IJERE)
Vol.6, No.3, September 2017, pp. 243~251
ISSN: 2252-8822, DOI: 10.11591/ijere.v6i3.pp243-251 243
Journal homepage: http://iaesjournal.com/online/index.php/IJERE
Factors Influencing Candidates’ Performance in English
Language and Mathematics at West African Senior
School Certificate Examination
O. M. Alade1, O. O. Kuku2, A. Osoba3
1 Department of Educational Foundations, University of Lagos, Nigeria
2 Federal College of Education (Technical), Akoka, Lagos, Nigeria
3 The West African Examinations Council, Ikeja, Lagos, Nigeria
Article Info
ABSTRACT
Article history:
Received Jun 21, 2017
Revised Aug 10, 2017
Accepted Aug 21, 2017
The study investigated influence of some factors on the performance of
selected West African Senior School Certificate Examination (WASSCE)
candidates. It also examined the relationship between these factors and
candidates’ performance. Factors investigated include socio-economic
background of the candidates (SEB), study hours (SH), attitude towards
English Language (ATTENG) and attitude towards Mathematics
(ATTMAT). Secondary schools in Lagos State were divided into private and
public secondary schools. Simple random sampling was used to select five
out of the six educational districts in Lagos State. Then one public and one
private secondary schools were selected in each of the five educational
districts earlier selected in stage one. Thereafter, 30 senior secondary school
III students were selected in each of the ten schools (5 public and 5 private
schools). A total of 600 candidates (consisting of male and female
participants) were expected, however, only 564 participants with complete
data were found suitable for the study. An instrument tagged “Candidates
Rating Scale (CRS)” was developed and used to measure their SEB, SH,
ATTENG and ATTMA which were the independent variables while
candidates’ scores at WASSCE was used as the dependent variable. Obtained
data were analyzed by using multiple regressions. The results of the study
indicate that there exists a positive correlation between WASSCE grades and
all the variables in Mathematics but correlate with socio economic
background only for English language.
Keyword:
Attitude
Performance
Socio-economic background
Study hours
Wassce
Copyright © 2017 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Osoba A.
The West African Examinations Council,
Plot 6, Lateef Jakande road, Agidingbi, Ikeja, Lagos, Nigeria.
Email: adunosoba@gmail.com
1. INTRODUCTION
Education is the bedrock on which the development of any nation depends. It is what makes a
man/woman to be self-reliant and able to contribute his/her quota to the growth and development of his/her
family, community, nation and the world at large. According to Ukaoha [1], any country that wants
development in all ramifications should depend basically on sound educational development because the
human development will lead to national development.
Education could be formal, informal or non-formal. Formal education involves teaching and
learning process in a school or within the four walls of a classroom; informal education is the type of learning
that is acquired as individuals interact with other people in the society, it takes place everywhere and
throughout an individual’s life; while non-formal education has to do with the acquisition of skills through
vocational training outside the classroom setting. Apprenticeship is a form of non-formal education.
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According to UNESCO [2], formal education is that type of education that is institutionalised, intentional and
planned either through public organisations and recognised private bodies while non-formal education is the
type of education that involves programmes contributing to adult and youth literacy and education for out-of-
school children, as well as programmes on life skills, work skills, and social or cultural development. It can
also include learning activities pursued for self-development and may not be necessarily for job.
In formal education, there is the need for proper schooling. Since it is a planned, intentional and
institutionalised process, the learners are expected to fulfil certain criteria before they can be certified or
awarded certificates. In Nigeria, the system of education being practiced is 6-3-3-4/5/6: with the 6 and the
first 3 years constituting the Basic education programme which is compulsory for every Nigerian child (Basic
1 to JSS 3); three years in the senior secondary school (SSS 1 to SSS3); and 4/5/6 years in the university
depending on the course of study. The first level which is 6 years duration is done in the Primary Schools, the
next 2 levels are done in the secondary school; junior and senior secondary schools. Secondary school
education is of great importance to the education sector of any country; this is because it is the link between
the primary and tertiary education. The secondary level prepares the learners for further education and the
world of work.
The outcome of any educational pursuit (secondary education inclusive) is always weighed against
the performance of the learners. Teachers’ effectiveness is also measured in terms of their students’ academic
performances. Ali, Jusoff, Ali, Mokhtar, and Azni [3] opined that academic performance has always been
used as yardstick for determining success or otherwise of school years. Social and economic development of
a country is directly linked with students’ academic performance. This is because students’ academic
achievement plays an important role in producing quality graduates who will become great leaders and will
be responsible for the country’s economic and social development.
Candidates’ performances in examinations are influenced by a number of factors. Studies have been
carried out to identify the numerous factors that may influence academic performance. According to Irfan
and Shabana [4], these factors are social, personal, psychological, environmental and political. The social
factors include the parents’ level of income, parents’ educational background, home conditions and peer
relationship. Personal factors are aspiration capacity, academic inclination, personality, interest, attitude and
motivation. Psychological factors include level of intelligence, genetic trait, gender and age. School
environmental factors include teacher’s educational qualification, teaching style/methods, class environment,
and class size among others. Political environment could also influence the performance of students. This is
because, in a country where there is political serenity, tranquility and is devoid of any distraction, students
are more likely to perform very well.
In a study by Ali et al [3], five factors influencing students’ performance are identified. These
factors are demographic, student attendance, active learning, involvement in extracurricular activities and
course assessment. Using CGPA as a measure of student performance, they found four (demographic, student
attendance, active learning and involvement in extracurricular activities) out of the five factors to be
positively related with students’ CGPA, while course assessment was negatively related with the students’
academic performance.
Victor [5] identified students’ evort, previous school, parents’ education, family income, self-
motivation, age of student, learning preferences, class attendance and entry qualifications as factors that have
significant effect on students’ academic performance in various settings. Adeyemi and Adeyemi [6] also
identified some factors that affect students’ performance. These factors include student-teacher ratio,
teachers’ interest, teachers’ ability, teaching method, commitment and intelligence. They deduced that
intelligence has the most significant effect on students’ ability to do well in school. By implication, without
the mental capacity to comprehend and retain information, students will not be successful in school. They
also found that teacher's ability also influences how well a student will perform. This is because a teacher
who is competent, interested in helping students, approachable and efficient will produce students who will
be academically sound.
Harb and El-Shaarawi [7] discovered that student's competence in English Language and
participation in the class positively affect students’ academic performance while absence in classes and living
in crowded household were identified as factors that negatively affect student's academic performance while
Ray and Lancaster [8] discovered that parent’s motivation, students’ study habit, diligence and children’s
personality and strength were factors that may influence students’ academic performance. A student who is
not interested in school or learning cannot be forced to become interested in education even with the best of
schools, best teachers and best materials.
Home factors may also have great influence on students’ academic performance. Students from
physically, sexually or emotionally abusive homes have greater chances of viewing education in a negative
manner. Without strong role models to encourage such students, it is difficult to convince them that education
is important to their future. Peer pressure from friends could also influence students’ performance. A student
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Factors Influencing Candidates' Performance in English Language and Mathematics .... (O. M. Alade)
245
who has friends who do not take education seriously, skip classes and show signs of other negative behaviour
is likely to imbibe such behaviours that will subsequently affect his/her academic performance negatively.
Hence, school environment remains an important factor that has to be well managed to enhance students’
academic performance.
In Nigeria today, there are so many factors influencing the ability of students to cultivate effective
and efficient study habit. The advent of internet has made most students vulnerably exposed to social media.
The internet has so many websites that are attractive and whose contents are not related to students’ academic
pursuit. Surfing such sites occupy a larger percentage of most student’s time and thereby distracting them
from learning. Most students now prefer surfing the internet than reading their books. Ozmert, Yurdakök,
Soysal, Kulak-Kayıkçı, Belgin, Laleli, and Saraçbaşi [9] emphasised the importance of environmental
influence as a major factor in the development of students’ studying habit. In the same vein, Adetunji and
Oladeji [10] found that boarding students read regularly because they have scheduled time for reading, they
sometimes use library and library books. Day students on the other hand, read occasionally especially during
examination. In their academic performances, boarders were above average while day students were below
average. The students affirmed that reading has positive influence on academic performance. They submitted
that because there is no conducive environment for studying at home, some parents have resorted to sending
their children to boarding school for proper discipline and to inculcate better reading habit. Good study habit
is a very important factor to success in studies. There is therefore no gainsaying that study habit is an
important factor that can influence student’s academic performance.
Parents play a more dominant role in a child’s education. Researchers differ on the influence of
parental socio-economic status on students’ academic performance. While some observed a great influence of
parental socio economic background, other discovered that socio economic background does not have any
influence on students’ academic performance. The argument of the former group of researchers was based
on the premise that parents are like backbones in providing financial and mental confidence to their children.
Hence, the parents’ socio economic status has a great influence on the quality of home environment, type of
school, provision of basic instructional facilities and other factors that could have great impact on the
students’ academic achievement. Vellymalay [11] found that parents’ socioeconomic status has a relatively
stronger impact on academic achievement than other variables. Olufemi [12] investigated the effect of socio-
economic status of parents on educational attainment of female secondary school students in Rivers state,
Nigeria. He found significant effects of financial and educational status of parents on academic achievement
of female secondary students. Also, WAEC [13], it was revealed that socio-economic background of
candidates has significant effect on their academic performance in The Gambia.
On the other hand, Machebe and Ifelunni [14] found in their study on influence of parental socio-
economic status on academic achievement of Students in Enugu State that parental socio-economic status did
not have significant effect on the academic performance of the students. They however identified parental
educational qualification and health status of the students as factors that have statistically significant effect on
the academic performance of the students. Candrasekaran [15] discovered in his study that some aspects of
creativity were related to academic achievement for both males and females. Laidra, Pullmann & Allik [12]
found in their study of general intelligence and personality traits as predictors of academic achievement that
intelligent was the best predictor of students’ grade point average (GPA) in all grades.
Other variables in this study are the students’ attitudes toward English Language and Mathematics.
According to Araromi [16], attitude could be described as an expression of favour or disfavour toward a
person, place, subject, thing or an event. He further posited that positive attitude towards a particular thing
will result in favourable expression towards such thing and vice versa. In a classroom setting, the attitude of a
student toward a subject or a teacher could have positive or negative effect on the performance of such
student. Some researchers are of the view that students’ achievement in any subject depends largely upon the
attitude of such student toward the subject (Farooq & Shah, [15]; Pepin, [17]; Samar, [18]). Farooq & Shah
[15] found that students’ performance and rate of learning in Mathematics depend on their attitude toward the
subject. Pepin [17] found in a comparative study of the attitude of Norwegian and English Secondary
Students toward Mathematics that students in both countries had a positive attitude toward Mathematics in
year 7 & 8. It dropped in year 9 and increased in years 10 to 11. He established that despite, the differences in
the language and environments, the attitude of students toward the subject is similar. Similarly, Samar [18]
investigated Business students’ attitude toward English Language, the study found that the students have
positive attitude towards English Language which is associated with their academic achievement.
Thus, it could be deduced that a positive attitude toward a subject will lead to high performance in
the subject and vice versa. This is because a student with positive attitude toward a subject will attend
classes, participate actively in the class, put in extra effort in the subject and create time to study the subject.
All these efforts will in turn result in high performance in the subject. The West African Examinations
Council (WAEC) conducts examination for candidates who have completed six years of secondary school
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246
and awards certificates for such examinations. The examination is called West African Senior School
Certificate Examination (WASSCE). Candidates’ performance at the examinations serves as indicators of the
effectiveness or otherwise of the education system in Nigeria. The performance of Nigerian candidates in the
WASSCE has been of concern to stakeholders in educational sector. Thus, this study aimed at investigating
the possible factors that might influence candidates’ performance at the WASSCE in Nigeria and in
particular, Lagos State. Although previous studies have revealed individual factors that may influence
academic performance, there are limited information on the combined influence of SEB, SH, ATTENG and
ATTMAT in Lagos State. Therefore, this study is an investigation of some the factors influencing
candidates’ performance at the WASSCE with a view to suggesting ways of improving candidates’
performance. Factors to be investigated in this study include candidates’ socio-economic background (SEB),
study hour (SH), attitude towards English Language (ATTENG) and attitude towards Mathematics
(ATTMAT).
2. METHOD
Survey design was employed to collect data. The population for the study comprised all candidates
who sat for the WASSCE as internal candidates in English Language and Mathematics in the year 2016 in
Lagos State, Nigeria.The study adopted a multi-stage sampling procedure to select 600 participants. The first
stage of the selection process was dividing the secondary schools in Lagos State into private and public
secondary schools. Also, the six educational districts in Lagos State were adopted as strata for the study.
Simple random sampling was used to select five out of the six educational districts in Lagos State.
Then one public and one private secondary schools were selected in each of the five educational districts
earlier selected in stage one. The last stage involved selecting 30 senior secondary school III students in each
of the ten schools (5 public and 5 private schools). A total of 600 candidates (consisting of male and female
participants) were expected, however, only 564 participants with complete data were found suitable for the
study. The distribution of the respondents is as shown in Table 1.
Table 1. Distribution of Respondent across Gender and School Type
Gender
School Type
Total
Private
Public
Male
114
156
270
Female
117
177
294
Total
231
333
564
A rating scale titled “Candidates Rating Scale (CRS)”, developed by the researchers, was used to
elicit appropriate information from the students. The CRS had four sections. Section A was used to elicit
response on demographic data, Section B had a 3-point Likert-type rating scale on students’ socioeconomic
background and study habit and Section C had a 4-point Likert-type scale on students’ attitudes towards
English Language and Mathematics.
The Candidates Rating Scale (CRS) was content validated by specialist in Measurement &
Evaluation and seasoned researchers. Thereafter, test-retest reliability was carried out in order to ascertain the
stability of the instrument. The CRS was administered and re-administered with two weeks interval to a
group of 40 participants (consisting of 20 male and 20 female) in a secondary school randomly selected in the
educational district that was not selected for the study. The scores obtained were analysed using Cronbach
Alpha. The reliability coefficient of the scale (r = 0.773).
The three-point options of Section B were coded 1, 2 and 3. 1 indicates low, 2 indicate average and
3 indicate high. Similarly, the four-point options of Section C were coded as 1- strongly disagree, 2 -
disagree, 3 – agreed and 4 – strongly agreed. Responses of each candidates on each of the variable (socio
economic background, study hour, attitude towards English Language, attitude towards mathematics,) were
summed together to arrive at a single value for each candidate. The WASSCE scores which have been graded
using reversed 9-points scale (1 to 9) with 1 being the highest score and 9 being the lowest score was
reversed such that 9 became the highest and 1 became the lowest.
Research officers administered the rating scale on the randomly selected candidates in the selected
schools. The WASSCE grades in English Language and Mathematics for the selected candidates were
obtained from WAEC office Lagos. Explorative Data Analysis (EDA) was carried out. Multiple regression
analysis was carried out using (socio economic background, study hour, attitude towards mathematics and
attitude towards English Language and Mathematics) as independent variables while grades in WASSCE
IJERE ISSN: 2252-8822
Factors Influencing Candidates' Performance in English Language and Mathematics .... (O. M. Alade)
247
were the dependent variables. In addition, the open-ended aspects of the instrument was analysed
qualitatively. The regression equation models for the study is as stated.
YE= βo+β1X1+ β2X2+β3X3+ε (1)
where YE is the grade in English Language, βo – constant, X1 – SEB, X2 - Study hour, X3 -Attitude towards
English Language and ε is the error term.
YM= βo+β1X1+ β2X2+β3X3 +ε (2)
where YM is the grade in Mathematics, βo – constant, X1 – SEB, X2 – Study hour, X3 –Attitude towards
Mathematics and ε is the error term.
3. RESULTS AND ANALYSIS
A Pearson Moment Correlation Coefficient was computed to establish that there was no
multicollinearity among the independent variables and to assess the relationship between the independent
variables and the dependent variable. The results are shown in Tables 2 and 3.
Table 2. Correlation between Candidates’ Performance in English Language, Socio-Economic Background,
Study Hour and Attitude towards English Language
Note: N = 564, ** p < 0.05 (2-tailed)
Table 2 shows that the independent variables were not highly correlated which satisfy the
assumption of no multicollinearity. There exist positive relationship between candidates’ performances at
WASSCE and all the three independent variables. The only significant correlation coefficient was between
candidates’ socio-economics background and WASSCE grades in English Language which is r = (564) =
.134**, n = 564 p≤.05. It could be inferred that as the all the independent variables increase, the performance
of the candidates in English language also increases and vice versa. This finding is similar to the findings of
Laidra, et al (2007), where intelligent was found to be the best predictor of students’ grade point average
(GPA) in all grades.
Table 3. Correlation between Candidates’ Performance in Mathematics, Socio-economic Background, Study
Hour and attitude towards Mathematics
Note: N = 564, ** p < 0.05 (2-tailed)
Wassce
Grade
Socio
Economics
Background
Study
Hour
Atttitude
Towards
Eng Lang
Wassce Grade
Pearson Correlation
1
Sig. (2-tailed)
Socio Economics
Background
Pearson Correlation
.134**
1
Sig. (2-tailed)
.001
Study Hour
Pearson Correlation
.028
.040
1
Sig. (2-tailed)
.255
.170
Atttitude Towards
Eng Lang
Pearson Correlation
.024
-.026
.073
1
Sig. (2-tailed)
.282
.270
.042
Wassce
Grade
Socio
Economics
Background
Study Hour
Attitude
Towards
Maths
Wassce Grade
Pearson Correlation
1
Sig. (2-tailed)
Socio Economics
Background
Pearson Correlation
.240**
1
Sig. (2-tailed)
.000
Study Hour
Pearson Correlation
.048
.040
1
Sig. (2-tailed)
.129
.170
Attitude Towards
Maths
Pearson Correlation
.132**
-.074**
.298**
1
Sig. (2-tailed)
.001
.039
.000
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248
Table 3 shows that there is no multicollinearity among independent variables. It further shows the
level of relationships that exist between WASSCE grades in Mathematics and candidates’ socio-economics
background, study hours, attitude towards Mathematics. It could be observed that there exists a positive
significant correlation between WASSCE grades in Mathematics and candidates’ attitude towards
Mathematics, r = (564) = .132**, n = 564 p≤ .05, between WASSCE grades in Mathematics and candidates’
socio-economic background, r = (564) = .240**, n = 564 p≤ .05. This could be inferred that as the all the
independent variables increase, the performance of the candidates in Mathematics also increases and vice
versa. It could always be noted attitude towards Mathematics correlated negatively with candidates’ socio-
economic background r = (564) = -.074**, n = 564 p≤ .05 and also positively with study hour r = (564) =
.298**, n = 564 p≤ .05.
Also, F-ratio in the ANOVA table as depicted in Table 4 tests whether the overall regression model
is a good fit for the data i.e. does it examines the degree to which the relationship between the dependent
variable and the independent variables are linear?
Table 4. Regression ANOVA in relation to performance at WASSCE in English Language and Mathematics
Subject
Sum of
Squares
Df
Mean
Square
F
Sig
English
Language
Regression
22.400
3
7.467
3.629
.013**
Residual
1152.209
560
2.058
Total
1174.610
563
Mathematics
Regression
200.522
3
66.841
16.344
000**
Residual
2290.178
560
4.090
Total
2490.700
563
** Predictors: Constant, Socio-Economics background, Study hour, Attitude towards English Language and
Mathematics. Dependent variables: WASSCE grades.
Table 4 shows that the independent variables (i.e. socio economics background; study hour and
attitude) statistically and significantly predict the dependent variable (i.e. candidates’ performance in the 2
subjects in WASSCE). From Table 4, the Model- F (3, 560) = 3.629 and (3, 560) = 16.344, p < .05 for
English Language and Mathematics respectively show that the regression models are good fits for the data.
This means that the relationship is linear and therefore the model significantly predicts the dependent
variables (i.e. candidates’ performance in the 2 subject at WASSCE in Lagos). This is an indication that the
test of significance of the model using an ANOVA is not by chance but due to the predictor variables. This
could also be interpreted to mean that the Regression effect is statistically significant.
Table 5 shows the Model Summary of the regression analysis in relation to performance in English
Language and Mathematics. From Table 5, for English Language, a value of R= 0.138 indicates a low level
of prediction and also, R2 value of 0.091 (Coefficient of Determination), which is the proportion of variance
in the dependent variable that can be explained by the independent variables. This shows that all the
independent or predictor variables in this study explained 9.1% of the variability of the dependent variable.
This means that 9.1% of the total variance in candidates’ performance in English Language in WASSCE in
Lagos state is accounted for by candidates’ socio-economics background; study hour and attitude towards
English Language.
Table 5. Model Summary for performance in English Language and Mathematics
Subject
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
English Language
.138
.091
.014
1.434
Mathematics
.248
.081
.076
2.022
The Table 6 shows that for Mathematic, a value of R= 0.248 indicates a moderate level of prediction
and the Coefficient of Determination (R2), i.e. the proportion of variance in the dependent variable that can
be explained by the independent variables was 0.081. This shows that all the independent variables in this
study explained 8.1% of the variability of the dependent variable. This means that 8.1% of the total variance
in candidates’ performance in Mathematics in WASSCE in Lagos state was accounted for by candidates’
socio-economics background; study hour and attitude towards Mathematics. Table 6 shows the coefficients in
relation to performance in English Language vis-à-vis other independent variables.
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Factors Influencing Candidates' Performance in English Language and Mathematics .... (O. M. Alade)
249
Table 6. Coefficients on performance in English Language
** Sig @ p< .05
Table 7 shows that candidates’ socio-economic background (β1 = .252; t = 6.191, p < 0.05) and
attitude (β3 = .153; t = 3.597, p < 0.05) towards Mathematics are most influential predictors of candidates’
performance in Mathematics at WASSCE in Lagos state. The Table further revealed that candidates’ study
hour (β2 = -.008; t = -.190, p > 0.05) did not contribute significantly to the prediction model of candidates’
performance in Mathematics.
Table 7. Coefficients on performance in Mathematics
The results showed that in English Language, the independent variables satisfy the assumption of no
multi-collinearity and there exists a positive significant correlation between WASSCE grades in English
Language and candidates’ socio-economic background. Also the independent variables statistically and
significantly predict the dependent variable and the significance observed in the model is not by chance but
due to the predictor variables and all the independent or predictor variables in this study explained 9.1% of
the variability of the dependent variable.
The study further revealed that candidates’ socio-economic background is the most influential
predictors of candidates’ performance in English Language at WASSCE while candidates’ study hour and
attitude towards English Language did not contribute significantly to the prediction model of candidates’
performance in English Language at WASSCE.
In Mathematics, the results also showed that the independent variables satisfy the assumption of no
multi-collinearity and there exist positive relationships between candidates’ performances and all the three
independent variables. The independent variables statistically and significantly predict the dependent variable
and the significance observed in the model is not by chance but due to the predictor variables and all the
independent or predictor variables in this study explained 8.1% of the variability of the dependent variable.
Furthermore, candidates’ socio-economic background (β1) and attitude towards Mathematics (β3)
are most influential predictors of candidates’ performance in Mathematics at WASSCE and candidates’
study hour (β2) did not contribute significantly to the prediction model of candidates’ performance in
Mathematics at WASSCE in Lagos state.
4. CONCLUSION
The problem of poor performance in English Language and Mathematics has been a major one in
our educational sector today in Nigeria. Socio economic background, attitude of the student toward the
subjects and the number of hours used in studying has been identified has been responsible for such
noticeable trend. There is the need for teachers to look at ways to arouse the interest of students in those
subjects which will invariably increase the number of hours spent in their studies. Also government would
need to stimulate the economy so as to lift the economic status of most parents which will have positive
effect in the performance of their children.
Unstandardized
Coefficients
Standardised
Coefficients
T
Sig
B
Std. Error
Beta
CONSTANT
3.613
.669
5.403
.000
SEB
.038
.012
.134
3.187
.002**
SH
.013
.026
.021
.489
.625
ATTENG
.010
.015
.026
.626
.532
Unstandardized
Coefficients
Standardised
Coefficient
t
Sig
B
Std. Error
Beta
CONSTANT
-.274
.895
-.306
.760
SEB
.105
.017
.252
6.191
.000**
SH
-.007
.039
-.008
-.190
.849
ATTMATHS
.070
.019
.153
3.597
.000**
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250
ACKNOWLEDGEMENTS
The authors of the paper would like to express their profound gratitude to the principals and students
of the selected schools for their cooperation during data collection exercise. Also their deep regard goes to
the West African Examinations Council for additional data provided for the project. Also to all researchers
who assisted in one way or the other towards making this paper worthwhile.
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BIOGRAPHIES OF AUTHORS
Oluwatomi Modupeola Alade is an Educational Psychologist and holds Ph.D in Measurement
and Evaluation. She was a seasoned Educational Administrator at the Ministry of Education for
over 15years and currently lecture at the University of Lagos, Nigeria.
IJERE ISSN: 2252-8822
Factors Influencing Candidates' Performance in English Language and Mathematics .... (O. M. Alade)
251
Olaotan Oladele Kuku holds a Ph.D. in Measurement and Evaluation and currently lectures at
the Federal College of Education (Technical), Akoka, Lagos, Nigeria.
Adunola Osoba is a Research Officer and currently a PhD student at the department of
Educational Foundations, University of Lagos, Nigeria.
