Causal Relationship between Teachers Job Performance and Students Academic Achievement in Secondary Schools in Nigeria

Similar documents
PREDISPOSING FACTORS TOWARDS EXAMINATION MALPRACTICE AMONG STUDENTS IN LAGOS UNIVERSITIES: IMPLICATIONS FOR COUNSELLING

Education Marketing; Examining the Link between Physical Quality of Universities and Customer Satisfaction

VOL. 3, NO. 5, May 2012 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.

STUDENT SATISFACTION IN PROFESSIONAL EDUCATION IN GWALIOR

Generic Skills and the Employability of Electrical Installation Students in Technical Colleges of Akwa Ibom State, Nigeria.

STA 225: Introductory Statistics (CT)

Greek Teachers Attitudes toward the Inclusion of Students with Special Educational Needs

The influence of parental background on students academic performance in physics in WASSCE

ScienceDirect. Noorminshah A Iahad a *, Marva Mirabolghasemi a, Noorfa Haszlinna Mustaffa a, Muhammad Shafie Abd. Latif a, Yahya Buntat b

School Size and the Quality of Teaching and Learning

Effect of Cognitive Apprenticeship Instructional Method on Auto-Mechanics Students

Analyzing the Usage of IT in SMEs

PSIWORLD Keywords: self-directed learning; personality traits; academic achievement; learning strategies; learning activties.

Instructor: Mario D. Garrett, Ph.D. Phone: Office: Hepner Hall (HH) 100

An Empirical Analysis of the Effects of Mexican American Studies Participation on Student Achievement within Tucson Unified School District

12- A whirlwind tour of statistics

A Study of Metacognitive Awareness of Non-English Majors in L2 Listening

PROFESSIONAL TREATMENT OF TEACHERS AND STUDENT ACADEMIC ACHIEVEMENT. James B. Chapman. Dissertation submitted to the Faculty of the Virginia

A. What is research? B. Types of research

Detailed course syllabus

Sheila M. Smith is Assistant Professor, Department of Business Information Technology, College of Business, Ball State University, Muncie, Indiana.

Procedia - Social and Behavioral Sciences 98 ( 2014 ) International Conference on Current Trends in ELT

Interdisciplinary Journal of Problem-Based Learning

DOES OUR EDUCATIONAL SYSTEM ENHANCE CREATIVITY AND INNOVATION AMONG GIFTED STUDENTS?

Monitoring Metacognitive abilities in children: A comparison of children between the ages of 5 to 7 years and 8 to 11 years

ACCEPTING MOODLE BY ACADEMIC STAFF AT THE UNIVERSITY OF JORDAN: APPLYING AND EXTENDING TAM IN TECHNICAL SUPPORT FACTORS

CHALLENGES FACING DEVELOPMENT OF STRATEGIC PLANS IN PUBLIC SECONDARY SCHOOLS IN MWINGI CENTRAL DISTRICT, KENYA

Sociology 521: Social Statistics and Quantitative Methods I Spring Wed. 2 5, Kap 305 Computer Lab. Course Website

S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y

System Quality and Its Influence on Students Learning Satisfaction in UiTM Shah Alam

The Impact of Mobile Telecommunication Services on Students Lives: Findings from a Comparative Study in South Africa and Nigeria

THEORY OF PLANNED BEHAVIOR MODEL IN ELECTRONIC LEARNING: A PILOT STUDY

Empowering Students Learning Achievement Through Project-Based Learning As Perceived By Electrical Instructors And Students

Quantitative analysis with statistics (and ponies) (Some slides, pony-based examples from Blase Ur)

ACBSP Related Standards: #3 Student and Stakeholder Focus #4 Measurement and Analysis of Student Learning and Performance

Lahore University of Management Sciences. FINN 321 Econometrics Fall Semester 2017

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

Shyness and Technology Use in High School Students. Lynne Henderson, Ph. D., Visiting Scholar, Stanford

GDP Falls as MBA Rises?

Conceptual and Procedural Knowledge of a Mathematics Problem: Their Measurement and Their Causal Interrelations

Academics and Students Perceptions of the Effect of the Physical Environment on Learning

Towards Developing a Quantitative Literacy/ Reasoning Assessment Instrument

Saeed Rajaeepour Associate Professor, Department of Educational Sciences. Seyed Ali Siadat Professor, Department of Educational Sciences

A COMPARATIVE STUDY OF MALE AND FEMALE STUDENTS IN AGRICULTURE AND BIOLOGY IN KWARA STATE COLLEGE OF

American Journal of Business Education October 2009 Volume 2, Number 7

Inclusive Education Setting in Southwestern Nigeria: Myth or Reality?

International Conference on Current Trends in ELT

TEXT FAMILIARITY, READING TASKS, AND ESP TEST PERFORMANCE: A STUDY ON IRANIAN LEP AND NON-LEP UNIVERSITY STUDENTS

Procedia - Social and Behavioral Sciences 64 ( 2012 ) INTERNATIONAL EDUCATIONAL TECHNOLOGY CONFERENCE IETC2012

TIMSS ADVANCED 2015 USER GUIDE FOR THE INTERNATIONAL DATABASE. Pierre Foy

Effective Pre-school and Primary Education 3-11 Project (EPPE 3-11)

Process Evaluations for a Multisite Nutrition Education Program

Investment in e- journals, use and research outcomes

A study of the capabilities of graduate students in writing thesis and the advising quality of faculty members to pursue the thesis

A Game-based Assessment of Children s Choices to Seek Feedback and to Revise

Enhancement of Self Efficacy of Vocational School Students in Buffer Solution Topics through Guided Inquiry Learning

The Effect of Written Corrective Feedback on the Accuracy of English Article Usage in L2 Writing

ESIC Advt. No. 06/2017, dated WALK IN INTERVIEW ON

The impact of PLS-SEM training on faculty staff intention to use PLS software in a public university in Ghana

DO CLASSROOM EXPERIMENTS INCREASE STUDENT MOTIVATION? A PILOT STUDY

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Jason A. Grissom Susanna Loeb. Forthcoming, American Educational Research Journal

FACTORS THAT INFLUENCE PARTICIPATION OF LEARNERS IN ADULT AND CONTINUING EDUCATION: THE CASE OF MATINYANI SUB-COUNTY, KITUI COUNTY, KENYA

Office Hours: Mon & Fri 10:00-12:00. Course Description

FACTORS AFFECTING ENTREPRENEURIAL INTENSIONS AND ENTREPRENEURIAL ATTITUDES IN HIGHER EDUCATION

Probability and Statistics Curriculum Pacing Guide

GRADUATE STUDENT HANDBOOK Master of Science Programs in Biostatistics

Teachers Attitudes Toward Mobile Learning in Korea

Individual Differences & Item Effects: How to test them, & how to test them well

OPAC and User Perception in Law University Libraries in the Karnataka: A Study

Demand and Supply of Qualified Teaching Manpower in Secondary Schools in Ekiti State, Nigeria

PROMOTING QUALITY AND EQUITY IN EDUCATION: THE IMPACT OF SCHOOL LEARNING ENVIRONMENT

Ph.D. in Behavior Analysis Ph.d. i atferdsanalyse

Rote rehearsal and spacing effects in the free recall of pure and mixed lists. By: Peter P.J.L. Verkoeijen and Peter F. Delaney

Oklahoma State University Policy and Procedures

VIEW: An Assessment of Problem Solving Style

How to Judge the Quality of an Objective Classroom Test

International Journal of Scientific and Research Publications, Volume 4, Issue 8, August ISSN

LANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT. Paul De Grauwe. University of Leuven

Multiple regression as a practical tool for teacher preparation program evaluation

AC : DEVELOPMENT OF AN INTRODUCTION TO INFRAS- TRUCTURE COURSE

Third Misconceptions Seminar Proceedings (1993)

Entrepreneurial Discovery and the Demmert/Klein Experiment: Additional Evidence from Germany

Research Design & Analysis Made Easy! Brainstorming Worksheet

Grade Dropping, Strategic Behavior, and Student Satisficing

Delaware Performance Appraisal System Building greater skills and knowledge for educators

IS FINANCIAL LITERACY IMPROVED BY PARTICIPATING IN A STOCK MARKET GAME?

Mktg 315 Marketing Research Spring 2015 Sec. 003 W 6:00-8:45 p.m. MBEB 1110

Management of time resources for learning through individual study in higher education

ICT + PBL = Holistic Learning solution:utem s Experience

Discovering Statistics

The Use of Statistical, Computational and Modelling Tools in Higher Learning Institutions: A Case Study of the University of Dodoma

MGT/MGP/MGB 261: Investment Analysis

Study Abroad Housing and Cultural Intelligence: Does Housing Influence the Gaining of Cultural Intelligence?

Guide to the University of Chicago, Phi Alpha Delta Law Fraternity Records

Effective Recruitment and Retention Strategies for Underrepresented Minority Students: Perspectives from Dental Students

Research Update. Educational Migration and Non-return in Northern Ireland May 2008

Lecture 1: Machine Learning Basics

The Impact of Formative Assessment and Remedial Teaching on EFL Learners Listening Comprehension N A H I D Z A R E I N A S TA R A N YA S A M I

Match or Mismatch Between Learning Styles of Prep-Class EFL Students and EFL Teachers

Transcription:

45 AN INTERNATIONAL MULTI-DISCIPLINARY JOURNAL, BAHIR DAR, ETHIOPIA AFRREV VOL. 11 (4), SERIAL NO. 48, SEPTEMBER, 2017:45-54 ISSN 1994-9057 (Print) ISSN 2070-0083 (Online) DOI : http://dx.doi.org/10.4314/afrrev.v11i4.5 Causal Relationship between Teachers Job Performance and Students Academic Achievement in Secondary Schools in Nigeria Osagie, Constance Iyore College of Education, Ekhiadolor, Benin City, Nigeria Tel: +2347035217288 Akinlosotu, Nathaniel Toyosi Department of Economics Faculty of Social Sciences Ambrose Alli University, Ekpoma akintoyosi123@yahoo.com Tel: +2349037700370 Abstract The study investigated teachers job performance and students academic achievement in secondary schools for the existence of bi-causal relationship in Nigeria. The ex-post facto research design was adopted in the study. The population of the study covered all the Economic teachers and senior school students in class two (SSS II) of selected public Secondary Schools in Ekpoma, Edo State, Nigeria. Two instruments were used for the collection of data namely: Academic Achievement Inventory (AAI) and Teachers Job Performance Questionnaire (TEJOPAQ). They were used to collect data on students academic achievement and teachers job performances on termly basis (in the first, second and third term of the 2015/2016 school years). With a Cronbach alpha reliability of (α) 0.79, data was analysed using the step-wise multiple linear regression analysis. Findings showed that teachers job performance in the three terms jointly predicted students academic achievement and vice versa (F*=53.638, 50.530, p<0.05); indicating the existence of bi-causal relationship between the variables. It was

46 recommended that teachers need to be aware of how seriously they need to take their instructional duties because their job performance in each term has cumulative effect on students academic achievement in the promotional term. Key Words: Bi-causality, Teachers Job Performance, Students Academic Performance, Lag effect Introduction The importance of teachers in any educational institution of teaching-learning cannot be overemphasized. This is because of the central role they play as implementers of the curriculum at the classroom level. This explains that what teachers do or do not do could directly or indirectly affect the attainment of instructional objectives in the classroom. Consequently, scholars have often attributed students learning outcome to certain teacher attributes such as their educational qualification, years of experience, classroom behaviour and even their job performance among others (Adu, Tadu & Eze, 2012; Bolarinwa, 2013; Fehintola, 2014). Unfortunately, the aforementioned studies among others, have only uni-directionally investigated the relationship between teachers qualities and students academic achievement; whereby teacher qualities are only considered to affect, predict or influence students academic achievement (and not the other way round). When a worker gets feedback from a completed task, it is likely they would be satisfied if they compare their work input (effort, time, mental and material resources) with the output (the product or work outcome) and find out that the latter (output) yielded positive result. This may also be the case with teachers who are likely to compare the time - expended studying for a lesson, planning and writing lesson plans, teaching and evaluating students and so on with the learning outcome of their students to determine how worthwhile their teaching effort was. On the other hand, whenever a students performance is poor, a good teacher is likely to feel discouraged and unfilled because the outcome of his students is below his expectations. Studies on the influence of teacher factors their qualification, experience, classroom management, and job performance among others on students academic performance or achievement has attracted attention among several scholars. Fehintola (2014) examined the relationship among teachers academic qualification, professional qualification, content knowledge, instructional quality, evaluation procedures, work value, classroom attendance and job performance on academic performance of secondary school students in Saki-West local government area of Oyo State. The study adopted a descriptive research design of correlational type. The secondary school teachers in Saki Township were selected using multi-state sampling techniques and 718 teachers were selected at random for the study out of 2,456 teachers working in this local government. The Teachers Characteristics Scale (r = 0.80) was used as a measure of teachers characteristics. Correlation and Multiple regressions were used as tools of analysis. The result showed that the eight variables- teachers academic qualification, professional qualification, content knowledge, instructional quality, evaluation procedures, work value, classroom attendance and job performance) when combined, accounted for 54.6% of the total variance in students academic performance. Bolarinwa (2013) investigated the relationship that exists between teachers characteristics and students academic performance in Financial Accounting in Senior

47 Secondary Schools in Ondo State. A total of 200 students were selected through purposive sampling technique to participate in the study. Two validated instruments titled: Teachers Qualification and Experience Questionnaire (TQEQ) and Financial Accounting Achievement Test (FAAT) were used for data collection. TQEQ was used to collect information from then teachers who participated in the study. The questionnaire was designed to get some personal information on the respondents sex, age, qualification and years of services. The TQEQ was administered to 20 teachers as a pilot test and the cronbach coefficient alpha of 0.84 was obtained. Findings from the Pearson Product Moment Correlation (PPMC) statistics revealed that a positive relationship exists between teachers characteristics (educational quality and years of experience) and performance level of the students in Financial Accounting. Agharuwhe (2014) examined effects of teachers career satisfaction on students academic performance in public secondary schools in Delta State, Nigeria. The study was a descriptive survey that employed an ex-post-facto design. The study was targeted at all teachers and students in government owned secondary schools in Delta State of Nigeria. A sample of three hundred and fifty (350) teachers in public secondary schools of the State were used for the study, at the time of this study, by stratified random sampling technique. The teachers were drawn from forty-two (42) public secondary schools in the State as at 2006/2007 school year. The questionnaires tagged Teacher Effectiveness Questionnaire (TEQ) was designed for school administrators and students to evaluate the teaching effectiveness of the sampled teachers in each school. The instruments were face validated, then construct validated by factor analysis using Statistical Package for Social Sciences (SPSS) version 12.0. Cronbach s coefficient alpha values of 0.98 and 0.79 were obtained for the Teacher Effectiveness Questionnaires. The rating scale, tagged Student Academic Performance Rating Scale (SAPRS) was designed to enable the researcher evaluate the academic performance of students taught by the teachers from 2002/2003 to 2004/2005 school years. Three hypotheses were tested at the 0.05 level of significance using correlation, t-test, and single-factor analysis of variance. The result of the analysis showed that satisfied teachers had higher job performance rating and produced better performing students. Kosgei (2013) in her study established the relationship between teachers characteristics and students academic achievement in Biology in Ghana. The study focused on the following independent variables: teacher qualification and teacher experience and their effect on student academic achievement. The study applied a casual comparative research design. The study was conducted in Nandi South District. The target population comprised of Biology teachers of all the 26 public secondary schools. A questionnaire was used for data collection. Data was analyzed using descriptive and inferential statistical techniques. The study among other findings showed that there was no significant relationship between teacher qualification and student academic achievement in Biology (p>0.05). Kimani, Kara and Njagi (2013) investigated selected teachers characteristics and classroom instructional practices and students academic achievement in selected secondary schools in Nyandarua Country, Kenya. One hundred and fifty-three teachers selected randomly from eighteen schools in three districts in the country participated in the study. The schools were categorized as above average, average and below average based on their aggregate performance in Kenya Certificate of Secondary

48 Education (KCSE) in the last three years. In each category, two schools per district were selected. Data were collected using a questionnaire developed by the researchers. Linear regression and one-way ANOVA were used to test the relationship between the selected variables and performance in KCSE at p<0.05. The study found that teachers professional qualifications and job performance in classroom instructional practices, were not significantly related to students academic achievement. Adu, Tadu and Eze (2012) examined the influence of teachers self-efficacy on students academic performance in selected secondary school subjects in Southwestern Nigeria. The study adopted the descriptive survey design of ex-post facto type. The study population comprised of teachers, and students of secondary schools in Southwestern Nigeria. A multi-stage random sampling technique was used to select a sample of 61 schools, 1,612 teachers and 5,100 students for the study. Teachers Self- Efficacy Questionnaire for Teachers (r = 0.94), and Students Achievement Test (English Language, r = 0.74; Government, r = 0.66; Biology, r = 0.69) were used to collect data for the study. One hypothesis was tested at 0.05 level of significance. Data were analyzed using descriptive and inferential analyses. The result showed that there was positive relationship between teachers self-efficacy and students academic performance (r = 0.38; p< 0.05). From the foregoing, it is evident that scholars in recent times have often investigated a one-way causal relationship between teacher characteristics and students academic performance. Therefore, teachers characteristics have often been considered as the independent variable or predictor of student academic performance. A knowledge gap exists on the influence of students academic performance on their teachers job performance in secondary schools in Ekpoma, Edo State. To determine whether any bi-causal relationship exist between teachers job performance and students academic achievement in secondary schools in Ekpoma, Edo State, the following research questions were raised: 1) What is the cumulative effect of teachers job performance in the first, second and promotional term on students academic performance in secondary schools in Edo State, Nigeria? 2) What is the cumulative effect of students academic performance in the first, second and promotional term on their teachers job performance in secondary schools in Edo State, Nigeria? Hypotheses The hypotheses formulated for the study are shown below: 1) Teachers job performance in the first, second and promotional term has no significant cumulative effect on students academic performance in secondary schools in Edo State, Nigeria 2) Academic performance of students in the first, second and promotional term has no significant cumulative effect on teachers job performance in secondary schools in Edo State, Nigeria Research Method The ex-post facto design was adopted in this study. The population of the study covered all the Economic teachers and Senior School Students in class two (SSS II) in public

49 Secondary Schools in Ekpoma metropolis, Edo State, Nigeria. Two instruments were used for the collection of data namely: Academic Achievement Inventory (AAI) and Teachers Job Performance Questionnaire (TEJOPAQ). AAI was a self-developed inventory used to collect data on students overall percentage grade point in Economics in their first, second and promotional term. Data collected as conventionally reported in the school s broad sheet include: 70-100% (Excellent/ Distinction), 60-69% (Very Good), 50-59 (Good/Credit/Average), 40-49% (Pass), and below 40% (Fail). However, the overall score or grade of each student was operationally rated as shown below: 60-100% (Pass) 4; 50-59% (Average) -3; 40-49% (Poor) 2; 39% and below (Failed) 1. The other instrument (TEJOPAQ) was designed for principals and Head of Social Science Subjects (HOSS) in secondary schools. The instrument was used to collect data on their appraisal or evaluation of the job performance of Economics teacher(s) in their school in the just completed term. The fifteen (15) items in TEJOPAQ was adapted from the Annual Performance Evaluation Report (APER) form. APER focuses on the ten (10) basic job functions of every teacher, namely: 1) planning lessons, 2) teaching lessons, 3) evaluation of lessons, 4) classroom management, 5) handling of student discipline and attendant problems, 6) interest in teaching pupils, 7) knowledge of subject matter, 8) professional preparation and scholarship, 9) professional characteristics and 10) effort toward improvement when needed. All the aforementioned job functions in APER were rated: Satisfactory - (S), Requires Improvement (R), unsatisfactory specific comments and documentation (U) and Not Observed or Not Applicable (N). However, only the first five (5) aspects (planning lessons, teaching lessons, evaluation of lessons, classroom management and handling of student discipline and attendant problems) was integrated into the adapted version (TEJOPAQ) to measure teachers job performance. Three (3) items each were raised under the five items to make a total of fifteen (15) items covered. The fifteen (15) items raised under each of the aforementioned teacher job functions were rated on a four-point scale of: Strongly Agree - 4, Agree - 3, Disagree - 2 and Strongly Disagree - 1. The validity of the instrument was ensured by giving the instrument to experts in measurement and evaluation in the department of curriculum and instruction (Ambrose Alli University, Ekpoma). Reliability of the instrument was carried out using twenty (20) teachers and cronbach alpha statistics yielded a reliability value of 0.79. This ensured stability and avoided the collection of spurious data, data on teachers job performance and students academic performance was collected at the end of each term (first, second and third term) by the researcher in the 2015/2016 school year. Data were collected at the end of each term after the permission principals and Head of Social Science Subjects (HOSS) was solicited in the sampled schools. The step-wise multiple regression was used to analyse the data for bi-causality relationship. The choice of the step-wise multiple regression type was informed by the need to avoid multi-collinearity of variables and show the relative effect of teachers current and previous job performance on students current academic performance and vice versa. The models specified to show the functional relationship between the dependent and independent variables are shown below:

50 Model I SAP 3 = f (TJP 3, TJP 2, TJP 1) SAP 3 = β 0 + β 1TJP 3 + β 2TJP 2 + β 3TJP 1 + e 1.. (i) Apriori expectation: β 0 > 0 and β 1, β 2, β 3 > 0. β 0 shows that if all the independent variables (teachers job performances in each term) is zero, students academic performance will still be positive while β 1, β 2, β 3 > 0 shows that increase in teachers job performance in the promotional, second and first terms will have positive cumulative effect on students academic performance. Model II TJP 3 = f (SAP 3, SAP 2, SAP 1) TJP 3 = α 0 + α 1SAP 3 + α 2SAP 2 + α 3SAP 1 + e 1. (ii) Apriori expectation: a 0 < 0 and α 1, α 2, α 3 > 0. a 0 shows that if all the independent variables (students performances in each term is zero), teachers job performance will be negative (reduce) while α 1, α 2, α 3 > 0 shows that increase in students academic performance in the promotional, second and first terms will have positive cumulative effect on teachers job performance. Where: Results SAP 3 = Students academic performance in the promotional term (third term) SAP 2 = Students academic performance in the second term SAP 1 = Students academic performance in the first term TJP 3 = Teachers Job performance in the promotional term (third term) TJP 2 = Teachers Job performance in the second term TJP 1 = Teachers Job performance in the first term β 0 and α 0 = Constants in Model I and II respectively β 1, β 2 and β 3 are slopes of the regression coefficient in Model I. α 1, α 2 and α 3 are slopes of the regression coefficient in Model II. e 1 = error terms Results from the test of hypotheses are presented below: Hypothesis 1: Teachers job performance in the first, second and promotional term has no significant cumulative effect on students academic performance in secondary schools in Edo State, Nigeria

51 Model 1 2 3 Table 1: Summary result of the Step-wise Multiple Regression analysis showing the relative effect of Predictors on students academic performance Coefficients a Unstandardized Coefficients Standardized Coefficients β Std. Error Beta (Constant) -.043.243 -.177.860 TJP3 1.009.098.726 10.301**.000 (Constant) -.223.229 -.973.333 TJP3.620.130.446 4.760**.000 TJP2.508.122.390 4.156**.000 (Constant) -.122.223 -.547.586 TJP3.368.153.265 2.409*.018 TJP2.394.124.302 3.168**.002 TJP1.344.119.310 2.886**.005 t-val. Sig. F-val. Sig. R- square (R 2 ) Adjuste d R- square (R -2 ) 106.101**.000.528.523 70.774**.000.601.592 53.638**.000.634.622 a. Dependent Variable: SAP3 D.W =2.01 ** t-value is significant at 0.01 alpha level (p<0.01) * t-value is significant at 0.05 alpha level (p<0.05) Note: SAP 3 = Students academic performance in the promotional term (third term) TJP 3 = Teachers Job performance in the promotional term (third term) TJP 2 = Teachers Job performance in the second term TJP 1 = Teachers Job performance in the first term Table 1 showed that the regression coefficients (β) for teachers job performance in their promotional term (TJP 3), second term (TJP 2) and first term (TJP 1) are all statistically significant (β = 1.009,.620,.508,.394, 344, p<0.01; and β =.368, p<0.05). This show that teachers job performance in the first, second and promotional significantly predict their students academic achievement. Furthermore, the model of the regression estimate showed that the constants in each of the step models (model 1, 2 and 3) are negative (-.043, -.223 and -122). This implies that if teachers job performance is zero (or a teacher is completely absent from his/her duties), students academic performance will be poor. The F-values in models 1, 2 and 3 (F = 106.101, 70.774 and 53.638) further showed that teachers job performance in each term cumulatively contributed significantly to students academic performance. Therefore, the null hypothesis which states that teachers job performance in the first, second and promotional term had no significant cumulative effect on students academic performance in secondary schools in Edo State was rejected while the alternate was accepted. The R 2 and R -2 are the coefficient of determination and adjusted coefficient of determination respectively. The R 2 and R -2 values in model 3 showed that.634% or.622 of teachers job performance in the three terms jointly contributed about 63.4% or 62.2% of the changes to students academic performance in the academic session. The D.W (Durbin Watson) statistic is 2.01. Following the rule of thumb of 1.8 D.W 2.2, the value of 2.01 which is approximately equal 2 showed that there is no presence of serial autocorrelation among the explanatory variables.

52 Model Hypothesis 2: Academic achievement of students in the first, second and promotional term has no significant cumulative effect on teachers job performance in secondary schools in Edo State, Nigeria Table 2: Summary result of Step-wise Multiple Regression analysis showing the relative effect of Predictors on teachers job performance Coefficients a Unstandardized Standardized Coefficients Coefficients B Std. Error Beta t-val. Sig. F-val. Sig. R-square (R 2 ) Adjusted R-square (R -2 ) 1 (Constant) 1.154.129 8.946.000 SAP3.523.051.726 10.301**.000 106.101**.000.528.523 (Constant).792.154 5.128**.000 2 SAP3.407.057.565 7.174**.000 67.529**.000.590.581 SAP2.254.067.297 3.769**.000 (Constant).705.153 4.615**.000 3 SAP3.382.056.531 6.879**.000 SAP2.167.073.195 2.301*.024 50.530**.000.620.608 SAP1.165.061.213 2.716*.008 a. Dependent Variable: TJP3 D.W =1.92 ** t-value is significant at 0.01 alpha level (p<0.01) * t-value is significant at 0.05 alpha level (p<0.05) Note: TJP 3 = Teachers Job performance in the promotional term (third term) SAP 3 = Students academic performance in the promotional term (third term) SAP 2 = Students academic performance in the second term SAP1 = Students academic performance in the first term Table 2 showed that the regression coefficients (β) for students academic performance in their promotional term (TJP 3), second term (TJP 2), and first term (TJP 1) are all statistically significant (β =.523,.407,.254,.382, p<0.01; β =.167,.165, p<0.05). This showed that students academic achievement in their first, second and promotional terms significantly predicted their teachers job performance. Furthermore, the model of the regression estimate showed that the constants in each of the step models (model 1, 2 and 3) are positive (1.154,.792 and.705). This implies that if students academic score is zero (i.e students performed poorly with a score close to zero in their examination); teachers would still perform their duties as their job performance would be positive. The F-values of 106.101, 67.529 and 50.530 in models 1, 2 and 3 showed that teachers job performance in each term cumulatively contributed significantly to students academic achievement. Therefore, the null hypothesis which states that academic performance of students in the first, second and promotional term had no significant cumulative effect on teachers job performance in secondary schools in Edo State was rejected while the alternate was accepted. The R 2 and R -2 are the coefficient of determination and adjusted coefficient of determination respectively. The R-values in model three showed that.620% or.608% of students performance in the three terms put together contributed about 62.0% or 60.8% of the changes in teachers job performance in secondary schools in the academic session. The D.W (Durbin Watson) statistic is 1.92. This statistic measures the presence or absence of the serial autocorrelation among the independent variables. Following the rule of thumb of 1.8 D.W 2.2, the value of 1.92 which is approximately equal to 2 showed that there is no presence of serial autocorrelation among the explanatory variables.

53 Discussion Results showed that teachers job performance affected students academic achievement in secondary schools in Ekpoma, Edo State, Nigeria and vice versa. This clearly showed that there was the existence of bi-causality relationship between teachers job performance and students academic achievement in each term of an academic session in secondary schools in the area. The outcome of this study may be as a result of the fact that many teachers consider the current academic achievement of their students as a feedback for evaluating their previous job performance and instructional delivery. Therefore, the academic achievement of students in the previous term may engender teachers motivation and enthusiasm for improved instructional delivery in subsequent terms. Result in this study were consistent with that of Fehintola (2014) that teachers job performance and other teacher attributes (teachers academic qualification, professional qualification, content knowledge, instructional quality, evaluation procedures, work value, and classroom attendance) accounted for 54.6% of the total variance in students academic achievement. Result agrees with that of Bolarinwa (2013) that a positive relationship exists between teachers characteristics (educational quality and years of experience) and performance level of the students in Financial Accounting in Ondo State. Result support that of Agharuwhe (2014) that satisfied teachers had higher job performance rating and produced better performing students. Result is in consonance with that of Adu, Tadu and Eze (2012) that there was positive relationship between teachers class self-efficacy and students academic achievement. Result of this study disagree with that of Kimani, Kara and Njagi (2013) that teachers job performance in classroom instructional practices was not significantly related to students academic achievement. Result also disagrees with that of Kosgei (2013) who found no significant relationship between teachers quality and student academic achievement in Biology. Conclusion A bi-causal relationship existed between teachers job performance and students academic achievement; indicating that teachers performance on their various instructional duties affected students learning outcome while on the reverse, how well or badly students performed, also influenced the teachers job performance. Based on the findings, it was concluded that teachers previous and current level of job performance would affect students current academic achievement while students previous and current academic achievement would also affect teachers current job performance. This clearly indicated the existence of a lagged effect on the performances of both teachers and beneficiaries. Recommendations Based on the findings, the following recommendations were made: 1) Teachers have to be conscious of how they perform their instructional duties in not only the promotional term but also in first and second term because their cumulative effort in the two terms has contributory role to play in promoting students performance in the promotional term.

54 2) Principals and school authorities should be mindful of how they change subject teachers in their school from term to term to avoid the possible trade-off between teachers incessant change and students lowering performance. References Adu, E. O. Tadu, R., & Eze, I. (2012). Teachers self-efficacy as correlates of secondary school students academic achievement in Southwestern Nigeria, Discovery, 2(4): 8-16. Agharuwhe, A. A. (2014). Teachers career satisfaction and students academic performance in Delta public secondary schools. Journal of Educational and social Research, 4(1), 267-272. Bolarinwa, K. O. (2013). Teachers characteristics and students performance level in senior secondary school Financial Accounting. Journal of Empirical Studies, 1(2), 48-53. Federal Republic of Nigeria (2013). National Policy on Education (6 th Edition). Lagos: NERDC Press. Fehintola, J. O. (2014). Teachers characteristics as correlates of students academic performance among secondary school students in Saki-west Local Government Area of Oyo State. Journal of Educational and Social Research MCSER Publishing, Rome-Italy, 4(6), 459-467. Kimani, G. N. Kara, A. M. & Njagi, L. W. (2013). Teacher factors influencing students academic achievement in secondary schools in Nyandarua County, Kenya. International Journal of Education and Research, 1(3), 1-14. Kosgei, A. J. (2013). A study of teacher characteristics and students academic achievement: case of Biology subject in selected secondary schools in Nandi South District, Kenya. Aripex-Indian Journal of Research, 2(3), 66-67.