Influence of Age, Financial Status, and Gender on Academic Performance among Undergraduates

Similar documents
Technological Attitude and Academic Achievement of Physics Students in Secondary Schools (Pp )

Regina N. Osakwe 1. Received: December 10, 2014 Accepted: January 8, 2015 Online Published: January 21, 2015

The influence of communication on administration of secondary schools in Delta State, Nigeria

PERCEPTION OF DIFFICULT TOPICS IN CHEMISTRY CURRICULUM BY STUDENTS IN NIGERIA SECONDARY SCHOOLS

8 th European Conference on Psychological Assessment

Achievement in Physics Using Mastery Learning and Mind Mapping Approaches: Implication on Gender and Attitude

Nonye Azih and B.O. Nwosu Department of Business Education, Ebonyi State University, Abakaliki, Nigeria

Effect of Computer-Assisted Packages on the Performance of Senior Secondary Students in Mathematics in Awka, Anambra State, Nigeria

Effect of polya problem-solving model on senior secondary school students performance in current electricity

Patrick U. Osadebe 1,* *Correspondence: Department of Guidance and Counselling, Delta State University, Abraka, USA.

A Comparative Analysis of Management Information Systems Utilization for Organizational Effectiveness in Colleges of Education in Nigeria

Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS

COUNSELLING INTERVENTIONS FOR THE SPECIAL NEEDS STUDENTS IN SECONDARY SCHOOLS IN EKITI STATE

PROFESSIONAL COMPETENCY AMONG SCHOOL AND NON-SCHOOL COUNSELLORS IN RIVERS STATE, NIGERIA

Relationship Between Teachers Educational Qualifications And Student s Achievement In Chemistry: A Case Study Of Owerri West LGA

BUSINESS EDUCATION STUDENTS S PERCEPTION OF THE SKILL NEEDS FOR SUCCESSFUL ENTREPRENEURSHIP IN NIGERIA. M. O. BINUOMOTE

Research of Female Consumer Behavior in Cosmetics Market Case Study of Female Consumers in Hsinchu Area Taiwan

Center for Promoting Ideas, USA

Association Between Variables

COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES.

RELATIONSHIP BETWEEN PROBLEM-SOLVING ABILITY AND ACHIEVEMENT IN PHYSICS AMONG SENIOR SECONDARY SCHOOL STUDENTS IN OSUN STATE, NIGERIA

Integration of New Technologies in Teaching and Learning of Accounting in Public Tertiary Institutions: A critical role of an Accountancy Educator

An Examination of the Association Between Parental Abuse History and Subsequent Parent-Child Relationships

MULTIPLE REGRESSION WITH CATEGORICAL DATA

ANALYSIS OF USER ACCEPTANCE OF A NETWORK MONITORING SYSTEM WITH A FOCUS ON ICT TEACHERS

Principal s Personal Characteristics and Conflict Management in Kwara State Secondary Schools, Nigeria

List of Tables. Page Table Name Number. Number 2.1 Goleman's Emotional Intelligence Components Components of TLQ

ASSESSMENT OF COMPUTER LITERACY SKILLS AND COMPUTER BASED TESTING ANXIETY OF SECONDARY SCHOOL STUDENTS IN ADAMAWA AND TARABA STATES, NIGERIA.

IMPACT OF ENVIRONMENTAL MANAGEMENT ON STUDENTS QUALITY OUTPUT IN NIGERIAN SECONDARY SCHOOLS

QUALITY ASSURANCE IN ENTREPRENEURIAL STUDIES IN COLLEGE OF EDUCATION, EKIADOLOR, BENIN CITY

Report on the Ontario Principals Council Leadership Study

Gender Differences in Use of Electronic Resources in University Libraries of Adamawa State, Nigeria

ICT Utilization and Teaching Learning in Business Education in Tertiary Institutions in Cross River State

Antecedence for Valuable MBA Projects: A Case Study of Graduate School of Business, Universiti Sains Malaysia

EVALUATION OF STUDENTS PERCEPTION OF SCHOOL COUNSELLING AND THEIR ATTITUDES TOWARD ITS PROGRAMMES

ASSESSING THE MANAGEMENT OF HUMAN RESOURCES IN SECONDARY SCHOOLS BY MALE AND FEMALE PRINCIPALS IN RIVERS STATE OF NIGERIA

T.O. Adeyemi. Department of Educational Foundations and Management, University of Ado-Ekiti, P.M.B. 5363, Ado-Ekiti, Nigeria

Journal of College Teaching & Learning July 2008 Volume 5, Number 7

Evaluating the Teacher Effectiveness of Secondary and Higher Secondary School Teachers

Time Management Does Not Matter For Academic Achievement Unless You Can Cope

ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS OCTOBER 2013 VOL 5, NO 6 Abstract 1. Introduction:

The African Symposium: An online journal of the African Educational Research Network

Part 2: Analysis of Relationship Between Two Variables

Analysis of Parenting Styles and Interpersonal Relationship among Adolescents

Effects of public relations in fund raising events (A study of selected churches in Aba metropolis)

in nigerian companies.

DETERMINANTS OF INSTRUCTORS TO APPLY IT IN TEACHING

research/scientific includes the following: statistical hypotheses: you have a null and alternative you accept one and reject the other

HYPOTHESIS TESTING: CONFIDENCE INTERVALS, T-TESTS, ANOVAS, AND REGRESSION

High School Psychology and its Impact on University Psychology Performance: Some Early Data

VALIDITY OF CONTINUOUS ASSESSMENT SCORES AS PREDICTORS OF STUDENTS' PERFORMANCE IN JUNIOR SECONDARY EXAMINATIONS IN NIGERIA

School Environmental Variables and Students Academic Performance in Agricultural Science

TRANSFORMATIONAL LEADERSHIP PRACTICE OF SYMBOLIZING PROFESSIONAL PRACTICE/VALUES AND EXCELLENCE IN MANAGEMENT OF PERSONNEL

EFFECTS OF ANIMATION-BASED CAMSTUDIO PHYSICS INSTRUCTION ON SECONDARY SCHOOL STUDENTS PERFORMANCE IN MINNA, NIGERIA

High School Students Attitude towards Learning English Language

The Degree of the Faculties Practice towards Students Academic Counseling at Jordanian Universities

MANAGEMENT OF NIGERIAN UNIVERSITIES AND COMMUNITY SERVICES

Effects of Computer Animation Package on Senior Secondary School Students Academic Achievement in Geography in Ondo State, Nigeria.

Course Descriptions Psychology

How To Integrate Instructional Technology Into Teacher Education

Rjopes Research Journal in Organizational Psychology & Educational Studies 1(2) Rjopes

Performance Appraisal System of the Academics of Public and Private Universities of Bangladesh: An Empirical Study

THE EFFECT OF PEER TUTORING AND EXPLICIT INSTRUCTIONAL STRATEGIES ON PRIMARY SCHOOL PUPILS LEARNING OUTCOMES IN MATHEMATICS

Impact of ICT on Teacher Engagement in Select Higher Educational Institutions in India

Influence of Organizational Culture on Performance Management Practices in Secondary Schools in Akwa Ibom State, Nigeria

Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression

The importance of using marketing information systems in five stars hotels working in Jordan: An empirical study

Original Article Influence of Time Management on Administrative Effectiveness in Higher Institutions in Ekiti State, Nigeria

Perceived roles and function of school psychologists by college of education students

Evaluating the Factors Affecting on Intension to Use of E-Recruitment

The Effect of Early Childhood Education Experience on the Academic Performances of Primary School Children

Challenges Faced By Peer Counselors in Their Effort to Effect Behavior Change in Secondary Schools in Maara District, Kenya

General Regression Formulae ) (N-2) (1 - r 2 YX

IMPACT OF AUDIO-VISUAL (AVs) RESOURCES ON TEACHING AND LEARNING IN SOME SELECTED PRIVATE SECONDARY SCHOOLS IN MAKURDI

Competency Needs of Postgraduate Students of STEM Education in Research Writing in Nigerian Universities

The Online Journal of New Horizons in Education Volume 3, Issue 3

Psychology. Academic Requirements. Academic Requirements. Career Opportunities. Minor. Major. Mount Mercy University 1

Chapter VIII Customers Perception Regarding Health Insurance

CHALLENGES TO SECONDARY SCHOOL PRINCIPALS LEADERSHIP IN NORTHERN REGION OF NIGERIA. Olowoselu Abdulrasheed & Aishatu Salihu Bello

Effect of Self-Efficacy on the Performance of Athletes

Enhancing Mathematics Achievement of Secondary School Students Using Mastery Learning Approach

Servant Leadership Practices among School Principals in Educational Directorates in Jordan

LECTURERS PERFORMANCE APPRAISAL AND TOTAL QUALITY MANAGEMENT OF PUBLIC UNIVERSITIES IN SOUTH-WESTERN NIGERIA

The African Symposium

DATA ANALYSIS AND INTERPRETATION OF EMPLOYEES PERSPECTIVES ON HIGH ATTRITION

Chapter 5 Analysis of variance SPSS Analysis of variance

1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96

An Evaluation of Bank Customer Satisfaction in Pakistan, Case of Conventional Banks

Elizabeth Ambakederemo Tonbra (Phd) Department of Educational Foundation, Niger Delta University, Wilberforce Island

ATTITUDE OF SECONDARY SCHOOL STUDENTS TOWARDS GUIDANCE AND COUNSELLING SERVICES IN CROSS RIVER STATE

Impact of Self Concept on Scholastic Achievement of 9th Class Students in Physical Sciences

PERCEPTION OF SENIOR CITIZEN RESPONDENTS AS TO REVERSE MORTGAGE SCHEME

The Administrative Creativity Skills of the Public Schools Principals in Tafila Directorate of Education

IMPACT AND SIGNIFICANCE OF TRANSPORTATION AND SOCIO ECONOMIC FACTORS ON STUDENTS CLASS ATTENDANCE IN NIGERIA POLYTECHNICS: A

HUMAN RESOURCE UTILIZATION AND INTERNAL EFFICIENCY IN STATE-OWNED UNIVERSITIES IN NIGERIA

A Study on Customer Orientation as Mediator between Emotional Intelligence and Service Performance in Banks

AN INVESTIGATION OF THE DEMAND FACTORS FOR ONLINE ACCOUNTING COURSES

Behavioral Sciences INDIVIDUAL PROGRAM INFORMATION Macomb1 ( )

Gender Stereotypes Associated with Altruistic Acts

Evaluation of Management Accounting Techniques as Tool for Planning and Control Decision-Making in Selected Manufacturing Companies in Ibadan, Nigeria

Transcription:

Kamla-Raj 2010 J Psychology, 1 (2): 99-103 (2010) Influence of Age, Financial Status, and Gender on Academic Performance among Undergraduates E.E. Ebenuwa-Okoh Department of Counselling Psychology, Delta State University, Abraka, Nigeria E-mail: ebenuwaokoh@yahoo.com KEYWORDS Influence of Age. Gender. Academic Performance. Grade Point Average. Financial Status ABSTRACT This study examines the influence of age, financial status and gender on Academic Performance among undergraduates. To guide this study, one question was asked and three hypotheses were formulated and tested 0.05 level of significance. The design is correlational and simple random sampling was used to select sample size of 175 respondents. The instrument used for this study has face and content validity. Cronbach alpha was used to obtain reliability coefficient of 0.84. In addition to the instrument, the cumulative grade point average (CGPA) of the respondents was collected from the departmental office and marched with the names of the respondents. The findings of the study reveal that gender, age and finance are not significant predictors of academic There was no significant difference in academic performance based on age, gender and financial status. It was recommended that counselling centres should open to handle varying problems confronting student irrespective of age, financial status or gender. INTRODUCTION The concept of academic performance has become a source of concern to researchers, especially as the academic performance of the undergraduates is declining. Academic performance is defined or regarded as participants examination grades (Grade point average) at the end of a particular semester or programme. It could also be seen as the level of performance in a particular field of study. Higher scores indicate better academic performance (Egbule 2004). The Nigerian society places great emphasis on education because it is believed to be the only avenue for national development. However, this can only be achieved if undergraduates who are in the citadel of learning get actively involved in academic activities which will enhance their academic This will, in turn, lead to the technological advancement of the nation. Inspite of these, laudable values attached to academic performance, researchers (Ugoji 2008; Egbule 2004) have shown that students performance is declining. This could be because they are confronted with so many school and non-school related demands and responsibilities (Ukpona 2007). This problem seems to be a major one that requires urgent and serious solution since students academic performance affects the quality of human resources within the society. Educators have tried to proffer solution to this problem. Studies by Ayodele (1988) and Adepoju (1999) suggest how sociopsychological variables such as self-esteem, test-anxiety, locus of control, romantic relationship, work load and task could foster academic performance among students. However, the studies examined them through a univariate approach. This present study examines the relationship between academic performance of undergraduates with more than one variable. Previous studies did not provide empirical evidence of the nature and strength of the relationship between academic performance and students gender, age and financial status particularly when these variables are taken together in school setting (Odinko and Adeyemo 1999). Financial status of the students is considered in the study. Finance is the avenue through which students bills are paid. If their finances are not adequate, the situation may tend to affect their academic performance adversely. If, on the other hand, their financial needs are met adequately, probably their academic performance may be enhanced. (Odebumni 1988 and Egbule 2004). Hence, it is necessary to examine the relationship between students financial status and academic Age is considered one of the independent variables that may likely affect the academic performance of undergraduates in this study. Cognitive development and maturity (which are associated with age) are necessary for a worthwhile performance of students. Age of the individual, as it increases, usually affects the

100 various developmental changes. It also affects every area of human performance (Ukueze 2007). Therefore, it has become necessary to examine the extent to which age affects the academic performance of undergraduates. Another variable considered in this study is gender. Gender relates to the difference in sex (that is, either male or female) and how this quality affects their dispositions and perception toward life and academic activities (Okoh 2007). The difference in gender as it affects students and academic performance is inconclusive (Buadi 2000). This has necessitated the need to find out if there is any significant difference between male and female undergraduates as reflected in their academic Thus, this study seeks to examine the relationship between the variables of age, gender, financial status and the academic performance of the undergraduates. It is the view of the researcher that when the variables are taken together, a better understanding of the relationship would be of considerable help in developing a more effective theory and practical counselling techniques for undergraduates in Nigeria with the ultimate goal of enhancing their academic To guide this study, the following research question was answered, and the null hypotheses tested at 0.05 level of significance. Research Question 1 What is the relationship between gender, age, financial status and academic performance of undergraduate students? Hypotheses Ho1: There is no significant relationship between gender, age, financial status and academic performance of undergraduates. Ho2: There is no significant difference in the academic performance of undergraduates based on age. Ho3: There is no significant difference in the academic performance of the undergraduates based on gender. METHODOLOGY The design used for this study was correlational. The population for the study consisted E.E. EBENUWA-OKOH of all the 400 level students of the Department of Counselling Psychology, Faculty of Education, Delta State University Abraka. At the time of the study, there were 250 400 level students in that department. Simple random sampling technique was used to compose a sample of 175 students. The research instrument used in this study was a questionnaire titled Students Financial Status and Academic Performance Inventory. The instrument is made up of two sections; part one and part two. Part one is concerned with collecting basic demographic information on gender and age. Part two is made up of items constructed on a 4-point Likert-type format of agree (A) strongly agree (SA), disagree (D) and strongly disagree (SD). The items in instrument measured the financial status which is reflected in the amount of money available to undergraduates for legitimate and unexpected expenses. The face and content validity of the instrument was achieved. The instrument was given to experts in counselling psychology and measurement and evaluation to make their inputs in terms of adding more relevant items and removing irrelevant ones and making any other appropriate suggestions. Their corrections and suggestions were taken care of by the researcher. The reliability of the instrument was established using Cronbach alpha. It measured the internal consistency of the instrument. The reliability co-efficient obtained was 0.84. In addition to the instrument, the cumulative grade point average (C.G.P.A) of the respondents was collected from the departmental office and matched with the names of the respondents. Two hundred copies of questionnaire were distributed but 175 were returned and used for data analysis. Correlation matrix was used to answer the research question. Hypothesis 1, which tested the relationship of all the independent variables (age, financial stress, gender) and academic performance, was analyzed using multiple regression. The two other hypotheses were tested separately using t-test and one-way analysis of variance. All the hypotheses were tested at 0.05 level of significance. RESULTS The various results of the research question and hypotheses of the study are presented below.

INFLUENCE OF AGE, FINANCIAL STATUS, AND GENDER ON ACADEMIC PERFORMANCE 101 Research Question 2 What is the relationship between age, financial status, gender and academic performance of undergraduates? Table 1 shows the mean, standard deviations and inter-correlation matrix of the independent variables. The correlation matrix above shows that there is positive correlation between the variables (gender, age and financial status) and academic performance which is represented with the cumulative grade point average of the respondents. A look at the table reveals that though there is a positive relationship between age (.240), gender (.904), financial status (.105) and academic performance, the relationship was not statistically significant. To test whether the variables of (gender, age and financial status) predict the academic performance of the respondents, multiple regression tool was employed. Table 2 shows that the combination of the three independent variables (gender, age and financial status) in predicting the academic performance yielded a multiple regression (R) of.095 and R 2 (adj) of -0.008. This implies that all the independent variables in this study accounts for only about 1% of the variance in the academic performance of the respondents. The F-ratio of the model is 0.519 and it is not significant. This shows that the variables did not significantly predict academic performance among students who participated in this study. To test for the predictive power of each of the independent variables, (age, gender, financial status), their regression co-efficient was computed using t-ratio. The t-values are as follows financial stress -.360, gender.270 and age 1.179. All the variables were tested at 0.05 level of significance. Table 3 that none of the variables has significant influence on academic Hypothesis 2 There is no significance difference in academic performance of undergraduates based on age. The calculated F value (.654) is less than the critical F value (2.00) at 0.05 level of significance df (2,173). The null hypothesis is accepted. The results reveal that respondents from different age groups do significantly differ in their academic performance (Table 4). Hypothesis Two There is no significant difference between Table 1: Inter-correlation matrix, means and standard deviation of the independent variables (gender, age, financial status) and the dependent variable (academic performance). S. No. Variable Gender Age Financialstatus C.G.PA 1 Gender 1 2 Age.201 1 3 Financial status.189.624 1 4 Cumulative grade point average.904.240.105 5 Mean.67 2.34 20.94 2.35 6 Standard Deviation.47.60 5.70.70 N= 175 P> 0.05 level of significance Table 2: ANOVA on multiple regression analysis on academic Model DF Sum of Mean F R R 2 Standard Sign squares square (cal) error Regression 3 0.771 0.257 0.519 0.95 0.008 0.7036 0.669 Residual 171 84.652 0.495 Total 174 85.423 Table 3: Testing the significance of regression weights Variable B Standard error Beta t-ratio Sign Financial status -3.338 E-03.009 -.028 -.360.719 Gender 3.090 E-02.115.021.270.788 Age.105.089.090 1.179.240 Constant 2.120.352 6.017.000

102 male and female respondents in their academic The calculated t-value (0.902) is less than the critical t-value (1.96) at 0.05 level of significance and df of 173 (Table 5). The null hypothesis is accepted. The result reveals that there is no difference between male and female students in their academic Table 4: ANOVA on academic performance based on age groups. Variable age Df SS MS F Decision Between 2 84.454 20.210.654 N.S Within 173.970.328 Total 175 85.423 DISCUSSION Academic performance is a product of many variables. Achievement of enhanced academic performance is a product of personal determination, cognitive development and motivation as well as several other positive correlates. This finding agrees with the findings of researchers such as Emina (1986), Aghadiuns (1992), Adeyemo and Ochinko (1998). In other words, gender, age and financial Status do not significantly influence academic performance even if other variables do. In this study, there were four categories of respondents: Below 20 years, 20-24 and above 30 years. The older students were supposed to perform better than the younger ones, but the findings are different. The result of hypothesis two shows that there is no significant different between undergraduates academic performance based on age. The plausible reason for this could be drawn from Piaget theory (1932) which says that at adolescent, the individual s brain is fully developed and can get involved in complex as well as abstract thinking. The younger students tend to be more focused on their academic pursuits than the older ones. This could be because the older ones are encumbered with other nonacademic pressing needs that their attention. The younger students, though concentrate on their academic work may not have experience to effectively meet the challenges required for enhanced academic work. Hence, they zero to the same level with their older counterparts who may have the experience but do not have the time to pursue academic activities vigorously for worthwhile academic Results on hypothesis three shows that there is no significant difference between male and female respondents in their academic A possible explanation could be that both male and female undergraduates are exposed to same social and academic environment. They are assessed using the same criteria; so their reaction to grading (academic performance) is similar. This finding agrees with that of Ugoji (2008) who also found no significant difference based on gender. The relationship between academic performance and financial status was found not to be significant. This means that though students differ in financial status, it is not reflected in their academic The reason for this finding could be that the students that have finances tend to invest on self rather than books and academic activities that enhances their However, the upsurge of accreditation of programmes, has made it possible for most departments to have books in departmental libraries and other facilities. It is now possible for all students irrespective of their financial status to have equal assess to academic facilities. Therefore, enhanced academic performance is a matter of personal determination rather than financially determined. This finding agrees with Ebenuwa-Okoh (2007). CONCLUSION E.E. EBENUWA-OKOH Based on the findings of the study, it is concluded that gender, age and financial status are not significant predictors of academic Rather, the students character and behaviours are basic and foremost determinants of academic Table 5: t-test analysis of difference in male and female undergraduates on academic Gender N X SD DF t-cal t-cal Sign Decision Male 57 2.34.6832 173 0.902 1.96 NS Accepted Female 118 2.35.1118 Total 175 NS=Not significant in 0.05 level.

INFLUENCE OF AGE, FINANCIAL STATUS, AND GENDER ON ACADEMIC PERFORMANCE 103 RECOMMENDATIONS Based on the findings, the following recommendations are made. The counselor should develop interest in the general welfare of students, counselling centers should be opened to handle the varying problems confronting students irrespective of age, financial status and gender. These practical solutions will help them to adjust quickly and easily to their environment without experiencing stress. Parents should provide all support (financial, moral emotional) to their children irrespective to gender. This will enhance their academic REFERENCES Adepoju AA 1999. Relative Effectiveness of Two Approaches Based on Mastery of Learning Strategy on Students Achievement in English Grammatical Structures. Ph.D. Thesis, Unpublished. Ibadan: University of Ibadan. Ayodele SO 1988. The problem of Language for Education Nigeria Learners. Lecturer Series. Faculty of Education, Ibadan: University of Ibadan. Aghaduins MCK 1992. A Path-Analytic Study of Cognitive style Understanding of Science and Attitudinal Variables as Correlates of Achievement in Sec. School Chemistry. Ph.D. Thesis, Unpublished. Ibadan: University of Ibadan. Buadi JY 2000. School and Personality as Correlates of Student Attitudes to the School Guidance Services in Secondary Schools. Ph.D. Thesis, Unpublished. Abraka: Delta State University. Emina F 1984. The validation an inventory of scientific attitude. Journal of STAN, 24(1and1): 171-178. Egbule JF 2004. Practical Guide to a Successful Project or Thesis in Writing and Defence. Owerri: Whyte and Whyte Publishers. Ebenuwa-Okoh EE 2007. Correlates of Marital Adjustment among Married Persons in Delta State. Implication for Guidance and Counselling. Ph.D. Thesis, Unpublished. Benin City: University of Benin. Egbule JF, Egbule EO 2006. Developmental Psychology. Benin-city: Justice Jeco Publishers Ltd. Oduiko MN, Adeyemo DA 1999. Socio-Psychological Factors as Correlates of Senior Sec. Student Attitude. Towards English Language. Evaluation in Africa. Ibadan: Stirling- Horden Publishers. Odebunmi A 1988. The Effect of Home Background on Students Academic Performance. Nigeria Journal of Educational Psychology, 6(1): 8-9. Piaget J 1932. The Moral Development of the Child. New York: Harcourt Brace. Ukueze AC 2007. Learner variable of academic performance and Adjustment of Junior Secondary Student. The Counsellor, 23(2): 172-183. Ukpong DE 2007. Teachers Social acceptance and Junior Secondary Student Academic Performance in Social Studies in Uyo Metropolis. Educational Insight. 20(12): 84-90. Ugoji FN 2008. The impact of Counselling on the Academic Performance of Secondary School Students. Africa Journal for Inter Disciplinary Studies, 8(2): 67-73.