University of NigeriaUniversity of Nigeria Research Publications Author NWAFOR, Chukwuemeka...
Transcript of University of NigeriaUniversity of Nigeria Research Publications Author NWAFOR, Chukwuemeka...
University of Nigeria Research Publications
NWAFOR, Chukwuemeka
Aut
hor
PG/M.Ed/S/88/6195
Title
MOCK-WASC Scores in Science Subjects as Predictor of Achievement in WASC ‘O’
Level in Enugu Education Zone
Facu
lty
Education
Dep
artm
ent
Vocational Teacher Education
Dat
e
June, 1998
Sign
atur
e
POST
STUDIES DEPARTMENT OF I
UNIVEIWCTY OF N I G E R I A ,
IN I'AI2TIAL FULFILMENT (
REQI FOR THE A W k u L u vu 1.111b
DEGRIW OF PIASTERS I N EDUCATION (M.ED)
IN SCIENCE EDUCATION
NIJAFOR CHUKWUEMEKA
ED. E D / S / 8 8 / 6 ? 9 5
FOR l?IZ BACULTY OP l3DUCATlON
U N I V E R S I T Y Or N I G M I I A
iii
This work is dedicated t o my late Dad Nwafor Ani
Chukwuif i and Mum Nwairo Nwafor.
ACKNOWLXDC*XM.ENT -- ---.-.-
T h i s r e s e a r c h e r i s immensely indebted t o m y
thegis superv i sor , Prof. 0 , C, Nwana f o r all h i s
efforts to see t h i s work f i n i s h e d . The researcher
is also a r a t e f u l t o t h e p r i n c i p a l s and r;cience
teachers in secondary schools i n Znup;u Education
Zone. I
He is a l s o g r a t e f u l to prof. Anthony A l i , for
his u s e f u l advice and suggestions. a,-.-
.--
P G I : 7
T i t l e page ..............................-........ 1 D e d i c a t i o n .................................. a = - = ili
Table o f c o n t e n t s ................................. v
List 01 Tab le s ................................. vi
Abs t rac t ..........,................................ v i i
Purpose of stud.y .................................. 3 Keed for Study ................................... 4
Research Question .......,...~.................... 4
Scope and D e l - i m i t a t i o n of Problem.. . . . . . . . . . . . .. . . 5 CHAPTflH 2 : L1TI:'RATUlIlC 1 U V I PN . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Literature llevicw ................................ 7
Popu la t ion ........................................ lI+
Sampling .......................-................. 15 - . - -
CHAPTER 4: DATA ANALYSIS .A.t4D lESULTS..... --....-. ...- 16 CHAPTER 5 : D I S C U S S I O N AND ILJ'PKl~PlIEATIOI'I . , . . . . , . . . . . . . 41
Sm-m.nry , Conclusion and Recornmentl at ion. ... . . . . (. . . . 44
. Limitation of t he study ..,.........,,..,......... 46
RIJ3Ll O G I I P R Y . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
D i s t r i b u t i o n of secondary schoo l s qunlif ' icd ........ for sampling i n Enugu Educat ion Zone -I5
The Cocf f icic11.t of c o r r e l a t i o n between student;:: sc ience scores 5.cl Neck-\JASC and W A S f o r a l l s tuden ts i n -I;l:.c fouxtteen school-s.. ........ ,;. 16
t - St;at is t ic: ; ( f ) on s t u d e n t s s c o r e s i n )lock-YASC chemistry f o r the y e a r 1985 18
I
t - ~ t a t i s t i c : : ( f ) on s tud.ents s c o r e s i n Mock-L'ASC .................... physics for the y e a r 7985 19
t - StaL- is t icn ( f ) on s t u d e n t s s c o r e s in tioclc- SJASC Biology for the year 1985,.. ............. 20
t - ;;batis-t;ic::(f) on s tudents ' scores i n Mock- .......... W A X Mathematics for the year 1985,. 21
t - S t a t i s t i c s ( f ) on s tudents1 scores i n ............. ? ; A X Chemistry f o r the year 'I965 22
t - ~ k a t i n t i c s ( f ) on sl;udentsl score:; i n V h S C ................... I?h:fs_ic,s for the y c a r '1985.. 37
t - : ; t a t i s t i c s ( f ) on s t u d e n t s t s c o r e s ir, UASC Biology f o r t h e ycar 'I385 ..................... 24
t - S t a t i s t i c s ( f ) on stud.entsl s c o r e s i n 'JAX Nathematic s for the -year q986 ................ 25
The c o r r e l a t i o n cocff icieni between ,s-l-udents s c i e n c e s co re s i.11 hock-I.IASC and W A X 13C:5, a n d t h e mean of r f o r ecch of. the s::~nil!l.ed r;c'r~ool.s, 26
The C o e f f i c i e n t of c o r r e l a t i o n between t h c s1;udcnts ' mi cncc scorcs i n Moclc-'J!i.:;C: i tnd ' ; / A X 1986 f br u l . 1 students i.n t1:e fourteen ............................ secondary schoo l s 29
t - S t n t i s t ; i c n ( f ) on stud.entnl scores i n I,iocl:- r;:A;.;C C h c ~ n i s t r y Tor I;ho y e u r 1906 ............. 30
4.14 t - Statistics (f) on s t u d e n t s ' s c o r e s jr, ...... Mock-'i/A:;C I'hycics f o r t h e year 1Si"iG. 31
4.15 t - Sta t i s t : i . c r ; ( f ) on student's ' sco-r:cs i n . Mock-!.IASC I.!iol.o:;y f o r t h e y e a r 1936,. ..... 32
4-17 t - ~ t ~ t i ~ t i c s ( f ) on studen.-tsl s c c r e s iri ........ \ ; A X Chcmi:;Lry f o r t h e y e o r 1386.. 34
4.18 t - s t a t i s - b i c s ( f ) on s t u d e n t s g s c o r e s i-n .......... VA:;C 1)hysics :['or t;he y e a r 1916,. 35
L{,q9 t - S t a t i s - t i c s ( f ) on st-uden.tsl s c o r e s i n ..... YIIASC Biology f o r t h e y e a r 1366,...... 36
4--20 t - ~ t a t i s t i c s ( f : on s t u d e n t s 1 s c o r e s ic ....... \l,j:;C l',lntl~crno tic:; I 'or I.hc ye-11~ loE%. 37
4,21 The C o r r e l a t i o n c o e f f i c i e n t between student:; sc ience s co re s i n 1:~~oclc-VjiSC and I! i',;';C 19136 * and t h e mean of r , f o r each of the sampled secondary scho~ls...........,.,.....~.... .. 38
I n view o T f:hjs new system of educat ion , t h e importance
of t e a c h e r - made t e s t s i n v a r i o u s arears of human
development I s highly recognized, This s tudy i s t o t e s t
the p r e d i c t i b i l i t y of Mock - WASC examinat ions i n Enugu
educa t ion zone of Anambra S t a t e ,
Three research ques t ions were asked and four n u l l
hypotheses were t e s t e d , The scierlce s c o r e s of. Tive
hundred and s i x t y students f o r t h e years 1985 and 10t3G
were c o l l e c t e d , bo th f o r Mock - VAGC and ifASC, These
were used a s data. Using Pearson's Product Moment
C o r r e l a t i o n a n a l y s i s on the data, t h e result obta ined
showed that: - "There was a s i g n i f i c a n t r e l a t i o n s h i - p between t h e l
Mock - VASC sc ience s c o r e s and WASC both f o r 1985 and
1986, Data from t - s t a t i s t i c s c a r r i e d out t o b e s t Lhe
hypotheses of no s i g n i f i c a n t d i f f e r e n c e between male .
s t u d e n t sc ience s c o r e s and female s tuden t s i n d i c a t e d
tha t .
There was a a i ~ n i f i c a n t d i f f e r e n c e i n sckence
scores of male and female bo th i n Mock - './AS(; an<?" WA:.jC
1985 and 1986.
I
w Prom the f i n d i n g a of this study, i t can bc concluded
t h a t g e n e r a l l y speakin:;, t e ache r - made t esbs do p r e d i c t --
academic :~chievc:mcnl; : ~ r l i l o n l , y f n w do r~ol;, 'Phi : : 0.r co11.c:;c
tallies with work of some of other similar renermchers
The researcher recommends tho duplication of this
study in a different.geogrnphica1 1-ocation us ing the
' r e s u l t s from t h e senior secondary school cer t - i f i c a t c .. examination (S.S,C.E),
He also recommends workshop, in-service and pre-
service t r a i n i n g f o r teachers on s e t t i r ~ , scor ing and I
gradin?; s t uden t s ,
CHAPTER I .--
INTRODUCTION - - --- The teacher - made tests i s reco~niscd all over t h e
world and in every education system where its predictab-
i l i t y is u s u a l l y crnphusized,
The t eacher - made tests and the standardtsed t e s t s
are the main tests used in most West African countries.
The teacher - made tcs.Ls are achie&ment tests constructed,
administered scored and interpreted by teachers within t h e
school system for the pnrposes of promotion;' classification
and guidance of students or. students career. TEE -'standard-
ised tests, on the other hand, are t e s t s , prepared by
experts which have been subjected to r igorous t r i a l testing
and secrutinisation, us ing a standard reference group to /-
which individual ' s perf ornance can be compared, 'stanclardi sed
tests cornnand high validity and r e l i a d b i l i t y , I n West
African and in Niwria in p a r t i c u l a r , many teacher - made tests are in existence but the most important is the Mock-
Vest African School Gert i f icate ( W A X ) examination (Mock-
WASC) which is usua l ly administered to. students jus4
before they s i t for t h e ! ies t African School, Certificate
(WASC) examination proper ,
a ('1977) and Nwana (1979) have seriously question the r e l a t i v e
contributions of teacher - made te.sts within the Schools
i and t h e society assessmenb programme of our developing
nations. They are of the view t h a t most t eacher - made
t e s t s a r e no t r e l i a b l e and v a l i d and t h a t they a r e o f f e n
misused by school func t iona r i e s and adminis t ra tors . , I f
teacher - made tests are properly const ructed, va l ida t ed
and scored, t h e results could be extensively used i n
assessment a c t i v i t i e s wi thin the school system nnd outs ide .
The use of teacher - made tesks for m e d i c t i n s
s tuden t s t academic achievements has been con t rove r s i a l no t
only i n West Africa but i n other p a r t s of t h e world. Many
s t u d i e s have been carried out on teacher - made test as a 1
pred ic to r of s tuden ts academic achievement, Studies
carried out by Nwana (1979), Ohuche (1977) f o r example show
t h a t teacher - made tests arc n o t v a l i d and cannot be used
f o r any se r ious p red i c t i ve purposes while other researcher
l i k e Okedara (19l3O), Okeke (1985) and Azozie (1974) hold
the contrkry view t h a t teacher - made t e s t s . -.
: In addi t ion t o the controversy e x i s t ; i n ~ ; among researchers , I
it has been found t h a t many parents and guardi.an. a l s o
.question the issue of predictive v a l i d i t y of teacher - made t e s t s , Majori ty of t h e parents and guardian hold the ,
view t h a t teacher - made t e s t i s n o t a good p red i c to r of
t h e i r wardt s academic achievement, Most of the p a r e n t s
interviewed a re l i t e r a t e and s ' t i l l hold t k ~ e same view.. w
Some even s u s ~ e s t Lhe replacement of teacher - made test by
a more r e l i a b l e t en t .
In v i e w of the ncwly introduced continuous assessment
programme, the opinions of some researchers n~lci parents
coupled w i t h t h e fact t h a t sonic of the! worlr n l ready done
in Nigeria on t h e pxcdictive valid1 by 01 tcachcr - madc
tests, may not have been reliable d u e t o cxmin ; l t i oE m a l -
practices, it is the intention of this researcher to use
the r e s u l t o b t a i n e d i n this study to ci t h c r ~ ~ e r u t e or
confirm these L w o ahadcn c.f dpinj on on t h e p scd i c t i vc
v a l i d i t y of t eacher - made t e s t s .
'This study uses the more r e l i a b l e 1985 and 1986 Kock- I .
Best Afkican School C e r t i f i c a t e (Mock-WASC) nc t h c prodicntor
var iab le and 1985 and 1986 \lest African School C e r t i f i c a t e
( W A X ) scores nx the criterion va r i ab l e ,
To what ex t en t do studentsi science scores i n Mock - ' ; / A X --
p r e d i c t t h e i r ~chievernent i n YASC in the annlc sc icnce
subjects. F o r i n s t a n c e , i t ; is ~ > o s s i b l c for a s t -uden t , to
do well in Mock - bJASC, say in chemistry, 2nd d.o poorly in
the same chemistry a t Lhc W A S exorni.rlrx-tionc o r v i c e versa ,
PJRPOSE CjP S ' IUDY
The purpose of this study is to determine the extent t o
which r e su l - t s of -kcocher - made Mock - VASC cxar!tinotion
scores in sci-ences (Chemistry , B i o l q y , Plzysicz and
Mathematics) p red ic t r,tudenl;s' acad.emic acil~cvcment i n
examination i n t ; h ~ 33m.e F U ~ ~ C C ~ S , It is only when t h e s e
4 /
.-
t e s t s are r e l i a b l e , v a l i d and proper ly scored 2nd i n t e r -
preted can they be used for serious prodickive purposes.
The study i s s p e c i f i c a l l y designed t o t ea t - .the pre 'dict-
a b i l i - t y of Mock-';iA:;C oxaminations i n I:'ni~:~:u i:'ducation Zonc:,
NXKD POI< '1'111s UTUYY
In 1982 t h e Federal Government of PJigeria inl;roduced.,
the 6-3 -54 system of educat ion wliich cmphnsj-zed cont inuour ,
asscssmeflt of the progress o f the inc1ividu;ll . This demznc! ;:
a h igh degree 01 respondibility from the teacher who i s 1 1 ~ ~
involved i n . t h e f l inal assessment of t h e s1;ud.ent he/she has
t a u g h t ins tead of a sin~le examinntion se ' t by an e x t e r n a l
body, This partly requires teachers making v a l i d and.
r e l i a b l e aascssmen.t oP sl;utlcntsl progress. 1'urt;hermore the
t e a c h e r implemen-i;!; the curriculum, so he i s i n a b e t t e r
pos i -h ion Lo assess I s i s s tuden ts , T h e r c i:; L-herefore an
urgcn-l- necd .to ascerkain how ~ e l i a b l e ttij.:: 1,cachers assess-
ment pro[;rzmrne is, compared with a t u d c n t ' n ochievcrncnt i n
external exali~inrrt-ion. The data f rom t h i s s tudy is expected
t o he lp a s c e r t a i n the pred ic t i ve na-kurc of t eacher - made
t e ' s t s which i n t u r n w i l l r evea l t h e eJ:fccI;i .vcncns"of
teacher - made t e s t s .
ktirnes some universities and o t h e r hi gher i n s t i t u t i o n s ,
do so on t;he a s s u i ~ p t i o n t h a t t h e Noclr - ' ; / A X rcsulls
can actually p~edicl- thc candidat-c 's result i n I1A;;C
examinntion p rape r , Thc study expects t o h e l p check t h e
ef f ect5vcncss of this proc t i c e ,
To f n c i l i t a t c I;hc i n v e s t i g a t i o n of t;be''problem of
* this study, t h e following' basic research questions
, were addressed.
1. Daca Mock - ! $ A X r e s u l t s p r c d i c t ! i h X results 7.
2, , Does tila ex-tent to which Mock - i;lASC ex:m.inntion <-
rc o u l t r ; p r c r l i c b W A X exnrninrt Lion .1:.c::ul l; r, very s i g n i f i c a n t l y w i t h school-s?
3 , Does t h e extent to which Mock - Y A X exonS.nation
results prcdict YAZC examinat ion r e s u l t vary
si~nificantly with subJcctz,
To objectively carry out t h i s s t u d y , a number of
hypo-Lheses were thus stated.
s c i e n c e scores of s t uden t s i n Mock - 'JJ.:X and
science scores in WhSC
2. There i s nu s ignif icant- 'diffcrcncc bckwcen the
scores of male and female a f x d e n t ~ in PIoclc - SIXX with rccards to the Physics, Ghenlis try, Bioloi;y
and Mathcna t i c s sub jucts .
There is no significant difference between
thc scores OF m a l e and female studcnts i n
W A S with rcg:ads to the Physics, Chcmi-5; try,
Biology and Mathema t i cs sub,jects,
Pharc is rlo s i g n i f i c a n t dif rercncc in students
sco re s in Physics, Cherni.otry, Biology and
Plathematics in Mock - W A S and i n . : ! A X .
SCOPE xlD DX LIZM1l~i\'!!lblI uY I'I'II:< I'1iOCLli:Pl
This study tried to i n v c s t i g n t ; ~ thc cxLcn t t o vlh<-ch
t eacher - made Kock - XASC results yredict student achieve-
ment in W A X in Knu:;u Education Zone of Anonibsa GtaCe. It
also sought t o f i n d out whether the extent to which Mock
WASC predict WASC vary si (~nif icant1;y w i t h ~ c h o o l and
accress sub j e c t o . 'llhis study was lirniced t o secondary
schools i n 3nugu izducation Zone,
LITERATURE R'EVIEW - - . - - .
T h i s s tudy f o c u s e s on the p r e d i c t i v e v a l i d i t y of
teacher - made t e s t s as i t a f f ec t s WASC "On l e v e l s c i e n c e
examinations.
V a l i d i t y : A t e s t is said valid if it measures what
it i s expected to measure, The exphasis he re a r e on what
t he tests are supposed. t o measure and how well tho t e n t s
pe r fo rm the expected task. Nwann (1979) I s a a c and Micheal
(19741, noted t h a t v a l i d i t y for a t e s t user means (i) t o
determine how an i n d i v i d u a l performs a t p r e s e n t i n a u n i v s r s e
of s i t u a t i o n s that a test situation is claimed t o re--
p r e s e n t ( i i ) t o f o r c a s k an individual's f u t u r e s t a n d o r
e s t i m a t e a person 's p r e s e n t s t a n d on s o m variables of
p a r t i c u l a r s i g n i f i c a n c e t h a t are different from t h e r e s t ,
(iii)' t o i n f e r t h e degree t o which the i n d i v i d u a l possesses
,some hypo' thet ical trait preasurwd t o be reflected i n t h e
test performance.
V a l i d i t y of tests, are SO impor t ant t o almost every
e d u c a t i o n i s t and p s y c h d ~ ~ i ~ t ~ t h a t f o r any constructed
test, t h e f i r s t question t h a t usually comes to mind is
"how va l id are t h e ques t ions? Do t h e tests measure what
we want them t o metisure, :111 of i t ~ n d not-l-~in[: 13xt wh3.t
we went. them t o mnas&ev. Thorndikc and I-Iwcn (1977) e
Is t h e t e s t r e l i aS le?
Reliability refers t o extent of consistency o r s t a b i l i t y
o r t ru s twor th ines s of the result obtained from t h a t t e s t ,
How reproducible of such t e s t r e s u l t s when the measurement
i s repeated i n another occasion o r i n an i d e n t i c a l i n s t r u -
ment, h a n c t a s i (1964-), noted t h j t t he re are many types
o f r e l i a b i l i t y and t h a t no one i s un ive r sa l ly p re fe r red ,
The choice of a p a r t i c u l a r type depends on the use t o
which t h e t e s t scores are t o be mode.
Nwana (1979) i n a study involving co l lege s tuden ts i n
Nigeria found t h a t the instrument used t o measure phys ica l
c h a r a c t e r i s t i c s (eg height , circumference o'f t h e head,
shape of t he eye, s i z e of t he waist) are more r e l i a b l e and
p rec i se than the instruments used i n measuring psycholo-
gical c h a r a c t e r i s t i c s ( e g i n t e l l i g e n c e , emotion, dominance,
interest, honesty), , . .
Both r e l i a b i l i t y and v a l i d i t y are important .concepts
on predic t ion. But v a l i d i t y i s a necessary and s u f f i c i e n t
requi rement for reliability. For i f a t e s t i s r e l i a b l e ,
it does not t o t a l l y mean i t i s v a l i d , but a v a l i d t e s t i s
re l i ab ' l e .
It is evident f rom literature t h a t much work has been
done by researchers on t h e predict ive v a l i d i t y of teacher
made t e s t s bo th i n and outs ide Nigeria.
I n one of t h e works conducted outs ide ~ i ~ e r i o ; # ~ i l b e r t
9 I
and Ifunka (1960) found t h a t t h e scoreson t h e medical
c o l l e g e admissions t e s t (MCAT) add-ed s u b s t a n t i a l l y t o t h e
validity of t h e i r p r e d i c t i o n s regard in^ achievement in
rnedical~"schoo1 t r a i n 5 ng programmes,
: I n a s i m i l a r study c a r r i e d ou t by s t i c k e r and Huber
(1967) t h e y found t h a t a group of s t u d e n t s i n psychology,
- t h e undergraduate grade p o i n t average (GPA) i n psychology
courses was t h e single best p r e d i c t o r of success i n
s g r adua te school ,
I n Niger ia , many s t u d i e s have been conducted on the - p r e d i c t i v e v a l i d i t y of t e a c h e r - made t e s t s , Nwafor Orizu
('l974) conducted a similar study. She used. sets o f , s c o r e s
from Mock - VASC and WASC examinations of 385 c a n d i d a t e s
from Nnewi Divis ion, D e t a i l s of her results showedlthat
the cverage c o r r e l a t i o n c o e f f i c i e n t s o b t a i n e d - f o r t h e
sc ience s u b j e c t s were higher than those obtained f o r t h e
f i ts sub jec t s . Sha theref o r e concluded t hn t c o r r e l a t i o n
c o e f f i c i e n t s v a r i e d sign5.f i c a n t l y w i t h aub;jects . . . .- Another r e s e a r c h s t u d . ~ was conducted by Okeke -.-(-?985)
on t h e p r e d i c t i v e v a l i d i t y of t e a c h e r - made t e s t s , She
used s e t s of s c o r e s i n sc ience s u b j e c t s of 1040 s tudents
i n 26 s e l e c t e d secondary schools i n Anambra S t a t e f o r the w
y e a r s 1982 and 1383. Details of , her r e s u l t s showed t h a t
I t h e r e was no cignificant r e l - a t ionsh ip i n a l l t h e schoo1.s
and' in a l l the s u b j e c t s us ing Pea r son ' s Moment C o r r e l a t i o n . *. .- Analysis. Usins Analysis of variance st kt t is t ics , , ..,,~,h?-:). ,
, .
found t h o t there was n ~ i g n i f ~ c a n t d i f f e r c n c c i n sc ience
s c o r e s of male and female s t u d e n t s bo th i n Mock 7 UASC and
WASC i n 1382, but WASC only i n 1383.
Yologe (7983) examined t h e e x t e n t t o which Lorge--
Thoxrddike I n t e l l i ~ c n c e Tests could predict success i n . t h e
WASC. " He found I ,Q. tended t o c o r r e l a t e hi(:her wi th '
examination result thm raw. .scorcs d id and that v e r b a l
I .Q. correlate h igher with achievement i n indi.vid~.;?l school
subject t h a n non-verbal 1 - Q ,
h t t a (1973) conducted s i m i l a r research usin?; t h e Mock-
WASC r e s u l t as s predictor of performance in 'iJhYC - & n ~ - , , ,
selected schools in I g a l a - land, In this study, he-found
.out t h a t P t h e standard of mock v a r i e d from one school t o
ano the r and t h a t t h e p r e d i c t i o n a l s o varied. Ile concluded
- tha t Mock - i s a v a l i d p r e d i c t o r of student;^ achievement;
i n !iASC examination.
Nwana (1968) c a r r i e d out- a resborch on related v a l i d i t y ,
t h i s t i n e a t a u n i v e r s i t y level.. The study w a s perf or~ned
on t h e d i r e c t e n t r y students and t h e i r concess ionnl counter -
p a r t s i n t h e u n i v e r s i t i e s of Ibadan, Ife and Niger i a , Nsukka. - 0
The purpose of the s tudy was t o - f i n d o u t which of t h e
admission procedure has b e t t e r p r e d i c t o r of success i n
l ~ n i v c ' ~ . s i t ; y ntudicr,, . IIc a r r ived nC a t c n l ; ~ 1, i vc rcsu1.L- i n .
each of t he se r,l;ul-iies, which i m p l i e s :;hat -I;hcre was. no . " evidence Lhnt e i t h e r t h e d i r e c t e n t r y o r t l ~ c conce,r,nionnl
entry was s u p e r i o r t o t h e o t h e r i n terns 01 r e s u l t s a t
grndun t ion . Nnat'l.ozj.e (1974) also c n r i ~ i c r l oil t; ;.L :; Lucly on I ! t h e predictive v a l i d i t y of teacher - made t c s t and obscrved
t h n L- a hif:h C O ~ ~ C ~ : J t i o n ex i s t ed bc tweclr p a i r of - aj?;r<rey;nte ---
scorer; in the "I.loclc" and t h e school cer1;i.f ic i j kc: cxw-i.n:~l,:i. 011:;.
Anosike (1375) conduc b e d anothnr correlot- i -or ia l ' s tudy
u s i n s t-hc c l n s s f o u r promol-Lo11 exa~uir iuLio~l rcr;u.l. I;..; t o
p r e d i c t pcrforninncr, j.t~ t h c VASC cx:~n~.i~lal, i .011 I I : ; ~ 11l~; ;1 : ; ;~~r;plc
of 219 s t u d e n t s cirnwri f rorn three nccontlilry :;chool.r, arid
covcrirql: n p e r i o d o:C Sour years (1971 - ,1974) in Nsuklia
D i v i s i o n . I.fc conver-tcd the raw sco:l?en .Lo :it-ari-j.nc r:c:orer,,
IIe then app l ied Pea r son ' s product Plomenl; C o r r c l o t i o n
s t a t i s t i c s and tes t ;ed t h e s i p i f i c r l n c c of Llis c o r r e l a t i o n
c o e f f i c i e n t s o b t a i n e d 11sing t - t e n t ntntiotics, ITis
r e s u l t s showed hip;h c o r r e l a t i o n coc.€ficj .cnt between .cXnss
four s c o r e s and. WASC s c o r e s , and he cor:clucte:i thlt such
t encher made t e s t could be useil t o predict pcrfp~rnnpce i n
W A X . He obta ined t h e h ighes c o r r e l a t i o n cot T.ri cient- i n
mathematics and ~hvsics.
Abaclom (qC37G) used W A k X p;raclas t o r)rcdic-l; sas:;ion;ll
exarninnkion r;radt:s awarded in t h e Univers i ty of N i g e r i n ,
Naulclcn, w i b h rxl:crence t o scicncc zubJcct:;. IIc uacd a
educa t ion student- s drawn from
f i r s t , .second, and t h i r d years i n t h e u n i v e r s j t y and
covered a p e r i o d o f six years (1370 - 1975). IIu n p p l i c d
tho , Penrson'a Product Moment C o r r e l n t i o n a t n t . i s f ; i c s and
the t - t e s t s t a t i s t i c s t o b o t h s e t s of da ta . The results
showed that WASC r e s u l t w a s a good m e d i c t o r of academic
performance i n sc ience - based courses i n t h e univorsib,y,
but the,'-degree of p r e d i c t a b i l i t y v a r i e d with sub j ec t s .
Olarewaju (1974). conducted a c o r r e l a t i ' o n a l - s t u d i e s
using Mock - WASC/GCE and WASC/GCE s c o r e s 02 a sample of
_ ZOO candidates drawn from six secondary schoo l s i n Kabba
, Div i s ion i
S t a t e Nigeria covering a period
! two years. found a s i g n i f i c a n t r e l a t i o n s h i p between
the two examinations.
CIIhIrCER 3 - -. . - .
RESEARCH . - DESIGN
Th i s r e s e a r c h work i s designed t o determine t h e
extent t o which bhe r e s u l t s of Mock - !YASC e x a m i n n ~ i o t i s
scores i n sc ience s u b J e c t s predict students' academic
achievement i n b f A X c x m i n a t i o n i n t h e same s u b j e c t s i n
Enuc;u l iducation Zone of Anambra Sbntc, Pour Lccn
secondary schools werc randomly sc1,ccted f rom the six
h c a l Government Area that make up the zone, The
Secondary Schools a r c :
1. Girls Secondary School, Obe
2, G i r l s Secondary School, Amokwe
3 , Queen of t h e R0sar.y High School, Awgu
4, G i r l s IIigh School, Awkunanaw
5 Girls IIigh School, Nnewe
6, Idaw l i ivcr G i r l s Secondary schoo l , Enugu
7, ~ c d e 3 Spensis , Oghe . , , .
8,; Bogs Secondary School , Ozalla .'
9, Boys Secondary School, Umueze
-10. Community Secondnry schoo l , Udi
? I , Corpus C h r i s t i , chi
12, Awgu High School, Awgu
13, Union Secondary Gchool, Awkunanaw ./
14. College oS Imrnaculnte Conception, l < n u ~ u . I
As a source of r7 ' ta , t h e MOCK - WASC r e s u l t s and t h e
correspondiny; WAS\ rcau1.t:; f o r the! ycnrr ; lCln5 and 198G
examinat ions were ~ ~ s e d , The MOCK - W A X r e s u l t s were
c o l l e c t e d f r o m t h e schoo l s while t h e cor responding WASC
r e s u l t s were c o l l e c t e d from the WAEC o f f i c e .
?, The pearson ' s product moment c o r r e l a t i o n was
between the two sets of scorcs .
2 , A two - way a n a l y s i s of vor iance statistics was
used t o determine the d i f fe rence between t h e
sc ience s c o r o s of male versus femnlc students i n
MOCK-VASC AND WASC
3 . A four by two . a n a l y s i s of v a r i a n c e EL-at is t - ics was - .
used t o determine the d i f f e r e n c e i n , . s t uden t s scorcs "
in sciences in Mock - W A X , and i n ? / A X examinat ions.
4 t - t e s t s t a t i s t i c e was used i n testinp; the s i g n i f i -
, cance of p a r s o n ' s ~ r o d u c t moment c o r r e l a t i o n
coef f i c e n t (r )
LEVEL OD' S I G N I F I C A N C E .. d
For upholding o r rc;jecting t h e n u l l h ~ p o t h e s i s , .0.05
l e v e l of s i g n i f i c a n c e was used, I
The p o ~ t i l a t i o n consist-s of a l l secondo'ry schools i n t h e
six Local Government Areas that make up tho Enufl;u Education,
Zone t h a t sa t f o r Mock - WASC and t h e coxrespondin[{ WASC i n
S t r a t i X i c d sampling technique war; used, 'Il'o~~rt-ccn
secondary schools p n r t i c i p a t c d ant1 wcrc made up of m a l ' c and
female s-Ludcn-tr;, drawn from the s ix Local Government Areas
schools i n E n q u cduca-I; i o n zone cornposc -the :;an~ple . 'Chc
d i s t r i b u t i o n i s as follows:-
1 l7
1
Awgu 3 I 2 i Udi 24 2 1 ' I
1
Eziagu 1 . 1 - I
Oji Rivcr I i I -
6- - - - . --- TOTAL I 4
NO of ~i11.u; I
School inc ludcd t h e sample
f T o t n l ' Local NO of 'NO of ~ c h .
Nkanu
-
Twenty sudents were xandom1.y s e l e c t e d from the fourteen
Govt, Area Schools c p a l i f i ed f o r
, sampling
p a r t i c i p a t i n ~ schools and wcre composcd 01 :;l;udcntn who s:it
Includod i n t h e sample
13 .
f o r Mock - WASC and l;lie cor rc~ponr l i n~:; 1r;l K C c
1985 and 1906 r c s p e c t i v e l y . For t h e pe r iod
r t o t a l of f i v e hundred. and sixty s tudents wcr
3
!X:II!I .~.II : I Lion:; i n
of two y e a r s a
x involved, Th
C I J ~ C
2 ' 1 I
nuritbcr of sc iencc : ; ~ ~ i ~ , j c c t ~ , a r e f o u r .
CIIAFCER 4
DATA A N A L Y S I S AND l?EXJI'I'.C
The da ta and method used i n the anal-ysis of data
a r e hereby descr ibed and presen ted in -Lhi.s c h a p t e r ,
wi th due regards +to the b a s i c r e s e a r c h qucnt ions
addressed and t e s t e d .
Presented on Table 4.1 i s da ta sh0wi.n~; t he r e l o t i o n -
s h i p between s t u d e n t s ' science scores i n Iqock-'.:A:;C and
W A X q 9 C 5 and used i n - t e s t i n g hypothes is orle
TABLE 4.1
The c o e f f i c i e n t of c o r r e l a t i o n between t h e students1
sc ience s c o r e s i n Mock - VASC and 1985 f o r r ~ l l
s t u d e n t s i n t h e f o u r t e e n schools
From *'the d a t a on Table '4.1, it can be :
are p o s i t i v e and s i g n i f i c a n t r e l a t i o r r s 2 ~ ~ ~ ~ , L l t = b ~ v ~ ~ ~ L C . l l c
v p a i r s o i s c o r e s i n all t h e s u b j e c t s , impiin[:; t h a t Mock-
W A X actu:. i l ly p r e d i c t s t h e WASC. I I
The lowest c o r r e l a t i o n c o e f l i c i e n t wzs ob ta ined
i n t h e s u b j e c t phys ics and h ighes t Biology and
Mathematics.
t - S t a t i s t i c s w;4s used to determine whether sex as
R f a c t o r af f e c b e d student ' s nc!~.j.evcmcn I; in Cheini stry
i n t h e Nock - ' : / A X examination, &esen.!;c,d i n Table
4.2 are d o t s obta ined from the analysis,
TABLE 4.2 - . --
t - Stat- i r , t ics on s tudcn t s scores i n Flock - I d A X .
Chemistry f o r t h e ycnr 1985
- - .- - ----I I I !
SEX N df i M E A N 1 SD 1-----I---
P I -t- -. . . >".. - - --- I -- t . -- I I
MALE I 270 35.91 1 ' 1 4 m 8 4
i
i I P ' 0 - 0 5
FWAL? 140 1 278 , 31 -59 1 2e640i
10m10 i ' P "Y --- - -. - ----
The table 4-2 above shows t h a t t h e obta'Lncrl t--~ttluc
I I (2,640) exceeds the table critical value o f ('1 . ~ G C J ) for
248 degrees of frccclom at 5% leve l of conf <dencc. Thcrcf ore, --
t h e r e i s a s i g n i f i c a n t d i f fe rence bctwcen the chcr!~ist;r,y
scores of male verus female s tudents i n Mock - U A S C a s
mpo 1;hesized.
4 m 3
t - s t a t i s t 5 . c ~ was used t o t e s t whether sex as e
f a c t o r a f f ec,l;ed studen-Ls ' achievement . i n j jh ,ys ics i n the
Mock - W A X examination, Presented i n Table 4.3 arc t h e
da ta ob ta ined f ron t h e ana lys i s ,
-- t' - Statistics on students' Scores in Mock - ' : !AX
Rtys icn for t;hc year 1985
The t a b l e 4.3. abov-e shows t h a t the ob ta ined t-value
(20004) cxceedr Lhe t a b l e s v d u c of (1,360) for 278
degrees of freedom a t 5% level of s i fp i f icance .
Therefore , t he re is a significant difference between the
physics s c o r e s of male versus. fcmalc nl;udcnts in t h e
MOCK - W A X physics as hypothesized,
4 0 4-
t - s t a t i a l ; i c s war; used to t e s t whc!.l;hor ncx as :I fnc1;or
affected studentst achievement in Biology i n the'. Nock-
WASC cx:mi.nnt ion, l'rc ccntod on Tab1 c 4,4 arc t he - . t l a Lo
o b t ~ i n e d from the n n n l y s i ~ .
.t; s t a t i s t i c s on s t u d e n t s ' scores i n Eoclc - XASC
Biology f o r the yeas 1985
The Table 4 - 4 - above shows that t h e 0btained.t-v52ue
(3,549) exceeds Lhe t a b l e va lue of (1.960), for 278
degrees of freedom n't 5% l e v e l of cignificnncc, T h i s
means t h a t there i s a s i g n i f i c a n t d . i f f c rencc between
t h e Biology scores of male versus female
t h e Mock - W A X T3iology as hypothesized
21.. 4 - - - -- . - - .
em S t a t i s t i c s was used t o determine whether sex as a
f a c t o r ctffcctcd r, tudenta ' achicvcmont i n mathmn-ti-cs i r i
t he ~ o c k ' - W A X ~ x a m i n a t i o n . , The ana lys i s is presented
I I
SEX
MALE
FiIPIN;J3
on Table 4.5
1
N
I 40
140
MEAN
45 39
39-46
df
278
278
S D
16-45
10-83
t
3 .yr-3
P
P i 0-05
PL 0-05
t - s t a t i s t i c s on s tudents ' scores i n Moek - WAS'
Mathematics for the year, 1985
From Tahle 4,5, the obtained -I;-vuluc (ji.763 j cxceeds
the t a b l e c r i t i c a l value of (1,960), for 278 degree^ of
freedom at 5% l eve l of confidence, 'I'hcrcforc,-Lhere is
a s i g n i f i c a n t difference between the mathematics scores , .
of male versus female s tudents i n t h e Mock - XAUC
examinat ion an hypothesized.
f o r t h e year 1985
Table 4.6 above shows that the obtail led t-value
exceeds the table critical value of (I ,960.) f o r 2713
degrees of freedom a L 5% l e v e l of con.ficletlce, T h i s
mennn t h a t there i s u sik;niricanL d i f f e r e n c e bcbwcon
the chemistry scores of male versus female s t u d e n t s i n
WASC as hypothesized.
- statistics was used to determine whether sex as a
f a c t o ~ affected studen-1;s' achievement in physics i n t h e
W&C examination, The analysis i s presented#- i n T n b l e
TABLE 4.7
I
t - s t a t i s t i c s on s tudents ' scores i n W A X physics 1 for t h e year 1385.
The above t a b l e 4-7 shows t h a t bhe o b t a i n e d t-value
/
(2.154) exceeds the t a b l e value of (1.960) for 278 dcgreer;
of freedom at 5% l e v e l of confidencc. Therefore, there is
- SISX
M NIE
a s i g n i f i c a n t ; difference between the physics scorcs of
- " 4
MEAN
33.14
, . male versus fernale s1;udenf;s i n , WASC as hypothesized ,
4.8
N
1110
t - s t a t i s t i c s was used to determine vhether sex an n
FEMALE
df
2 j~
The o n o l y s i s i s prcocntl-ed i n Tablc 4.G
P
I
PL 0.04
S D
12.03
140 PL 0.05
---
P
t
10.52. i
270i 33a22 2.154
-
TABLE - - . 4.8
The Table 4.8 above shows t h a t the obtained t-value
(2,061 ) exceeds the t a b l e value of (I ,960) , for 278 dezrees
of freedom at 5% l e v e l of confidence, Therefore, t h e m
is a s i g n i f i c a n t dif ference between the Biology scores of . .
i male versus female s tuden t s i n WASC as hypothesized.
4 m 9
t - S t a t i s t i c s was used t o t e s t whether s e x as a-'factor
affected students1 achievement i n mathematics i n W A X , .- - - --
The da ta obtained from this ana lys i s are presented-.'in
Table 4.9
t - S t a t i s t i c s on s tuden t s t scores i n W A N
Mathematics the years 1985 ---
The Table 4.8 above shows that t h e obtained t-value
(5.277) exceeds the t a b l e value of 1,960 for 278 ,degrees
of freedom a t 5% l e v e l of confidence, Therefore , there
i s a s i g n i f i c a n t d i f fe rence between t h e Mathematics scores
of male versus female s tudents i n W A X as hypothesized.
TABLE 4 i ' I O !
The c o r r e l a t i o n c o e f f i c i e n t between students' science ,' I s c o r e s i n Mock - WASC and WASC 1985, and t h e mean of r
f o r each of t h e sampled secondary schools . - _ __--/
SCHOOL
1
2
3
4
5
6
SUBJECTS
Chemistry Physics
Fiology Maths
Chemistry
Physics
Biology Maths
Chemistry
Physics Biology Maths
Chemistry
Phys ics Biology Maths
P
P L 0.05
P L 0.05
MEAN OF r
0.07
0.83
I N
20 20
20 20
20
20
20
20
0.73 0.60
0.39
0.35
0.67
0.58
0.73 0.61-
x
0.83 0.92 0.81 0.90 ----- 0.98
0.84
0.85
0.64
Chemistry
Phys ics Biology
Maths
Chemistry
Phys ics Biology Maths
0 .52 P L 0.05 I
I 1
1
20
20
20
20
20
20
20
I 20
20
20
20
20
20
20 20 20
0.65
,
0.92 0.58
0.55 0.71
0.86
0.57 0.64
0.71
0.69 j L 0.05
P L 0.05
0.70
I
I
I *
P L 0.05
! L ' 1
I F?ysics 20 Oe72 Biology 20 0.80
0.68 .
Cllemistry 20
Physics 20
Biiology 20
20 0 .73 -A*. .
7
8 Chemistry 20
-3ysics 20
13iology 20
Elat hs 20
9 Chemistry 20
Iwsics 20
Biology i 20
Maths ! 20
10 Chemistry 20
Physics 1 20
Etiology
Maths 71 I Chemistry ,
Physics 20
Biology 20
Maths 20
Chemistry 20
Physics 20
Biology 20
Msths 20
Chemistry 20
Chemistry Physics
Biology
I4aths
20 20
20
20
4.1 0
To answer the second and t h i rd research quest---.-
a co- relational analysis and the mean was conducted
-school by school across the subjects of the fourteen CI sampl-ed secondary school in nugu Educational Zone for
t he ye- 1985,
5:esul-b f rom Table 4.10 showed t h a t the higl
c o r r e l a t i o n was obta ined a t G i r l s Secondary SC'
Amokwe, but the highest mean was recorded a t G
Secondary School, Obe. The school with the 10'
correlation coefficient was G i r l s Secondary Sc
Nruna:?aw and t h e subject is Eiology. Ail thes
s x g e s t that the extent Mock - WASC predic ts V
from :xhoo l t o school across the sub$ects.
The Coefficient of Correlation be-tween students'
sc ience scores in Mock - WASC and Y A X 1986 for a l l
students in the fourteen seoondnry school-s.
a rc p o s i t i v e and significant r e l a t i o n s h i p
p n i r s of studen-ks' s c o r e s i n a l l the
I \, t h a t Mock - VASC actually predicts W
c o e f f i c i e n t s a re high in all the subjects.
4.13
t - S t a t i s t i c s was used t o determine w h e t h e r sex, as :L
factor af fec ted stm3cn.t-a' achieverncnt i n chcrnis t ry i n
Mack - W A X cxmnirintion. Presented in Table 4 .'I3 n r o
t h e data.
30 TABLE 4-15
t - S t a t i s t i c s on s tudents ' scores i n Kock WASC
Chemistry f o r t he year 1986
WASC as hypothesized.
4.14
t - s t a t i s t i c s was used t o t e s t whe
f a c t c r a f fec ted students' achievement i
---
SEX
- -
Mock - WASC examination, Presented in
data obtained from this analysis .
obtained t-value
e of (1.960) f o r
onfidcnce. Thcre-
between t h 2
s t uden t s i n Mock-
N
ther sex as a . -. . - . - .
-12.4-0
1OW02
>
MEAN df
n phys ics in .the
?he Table 4,13 above shows t h a t t he
(6.4-5?0) exceeds t h e t a b l e c r i t i c a l va lu
278 degrees of freedom a t 5% . l e v e l of c
f o r e , t he re i s a s ign i f i can t di f ference
Chemistry scores of male versus female
, . M A L I 3 1 140
Table 4,14 are
278
SD
FmKX
. 39 -09
i '
140
i -- --- --
278 30.31
TABLE 4.14 -
t - S t a t i s t i c s on s t u d e n t ' s scores in Mock - W A X /
Physic for the yea r 1986
The Table 4-14 above shows t h a t t he oozalnea 5-value
(4.855) exceeds t h e t a b l e s critical value of (1.960) f o r
- SEX
--. -
MALE
FEMALE
I . 278 degrees o f freed.om at 5% levkl of confidence, Therc-
f o r e , there i s a s i g n i f i c a n t d i f ference between the physics
scorcs of male versus f ema le s t uden t s i n t h e Mock - biASC
a s krpothes ized . - - - - -. - --
4.15
-E - s t a t i s t i c s was used to t e s t whether sex-as -a fac tor
af fec.ted students' achievement in Biology in the MOC~-~:!A::C
examination. Presented In Table 4-15 are d.nte ob ta ined
f r o x t h i s analysis.
N
140
140
df
--. .
278
278
. - -
MEAN
,
- _-.
t
4-86:,
S D
-
P
P[o* 05 35.09 , 71 -88
28 -69 9-9 - 1-
TABLE 4.75
t - s t a t i s t i c s on students' scores i n Mock - WASC
Biology f o r the' year 1986
7 SEX j N . ( i f ' MEAN S D I t
I I
I 1 I
MALE ' 278 ; 1 I
Table 4.75 above shows t h n t t he ob ta ined t -value
(4.799) excccd:; tho b u b l e s c r i t i c a l va luc of (1 .%0) #
f o r 278 degrees of freedom at 596 level of confidcnce.
This means t h a t there i s a s ign i f i can t - differe3ce
between t h e Biology scores of male ve r su s female
Studen t s in the MOC~-WASC examinabion as h,ypothesized . ---- - -- -
4.16
t - Statistics was used t o determine whether - . sex as
a f a c t o r , affected students! achievement i n mathematics.
i n t h e MOCK - VASC examination. Presented i n Table
4.16 are r c s u l t obgained f r o m t h i s ana ly s i s .
t - Statistics on s t u d e n t s 1 s c o r e s i n Mock - WASC
Mathematics for t he y e a r 1386 I
I
Table 4.16 ubovc shows that L-he o b t a i n e d t-val.us
(5 .359) exceeds t h o t a b l e ' s c r i t i c a l value of (1.960)
f o r 279 degrees of freedom a t 576 l e v e l of confidence.
T h i s means t h a t t h e r e i s a s i g n i f i c n n t d i f f e r e n c e
between the mathematics s c o r e s of male v e r m s female
s t u d e n t s i-n the Mock - 'ii&C as hypothesized.
4.17 -- - .- rP
.t - s t n ' t i s t i c s was used t o deternlille whe-ther sex
a s a fac 'bor a f f e c t e d s tudents ' ' achievement i n Chemistry
i n the W A X exnmin:ltion. The a n a l y s i s i s presented i n 1$ 1
Table 4.17.
.- - -
. .. 34 TABLE 4.17- .---- . .... .-
% - S t a t i s t i c s on s tudents ' scores i n WASC
I Cienlistry f o r the gear 1986
Table 4.17 above shows t h a t the o b t a i n
(3,810) exceeds the tab'le c r i t i c a l value .of
273 degrees of freedom a t 5% level of conf
Theref o r e , there i s a s i g n i f i c a n t d i f feren
tho chemi.stry scores of male v e r s u s female
W A X as hypothesized,
t - s t a t i s t i c s was used t o determine w
a f a c t o r affected s t u d e n t s achievement i n
WASC examinations, The ana lys i s i s prcsen
4.78.
TABLE - 4.18
i r tb - S t a t i s t i c s on s tudents ' scores i n WASC physics
fo? the year 1986
MEAN =E 52-31 10.79
28.83 1 9.50
Table 4.18 above shows t h a t the obtainc
(2,854) exceeds the t ab le value of (1.9GO:
, . degrees of freedom a t 5% l e v e l of confider
mems t h a t there i s a s igni fcant di:
physics 'scores of male' versus f e m n l e S L U U C
examina t i on as hypothesized.,
t - s t a t i s t i c s was used t o determine wl
a factor af fec ted s tudents t achievement i l
t he WASC examination. The analysis i s prf
4.19
:d t-value
) f o r 270
Ice. This
:e between t h e
l e t h e r , acx a s
ssented i.n Table
TABLE 4.13
* - S t a t i s t i c s on s t u d e n t s ' s c o r e s i n W A X Biol-ogy
for t h e yea r 1986
. llable 4.19 above show t h a t t he obtained. t-value
(3.557) exceeds the t ab le value of (1.960)...for 278
degrees of froadorn a t 5% Level of c o n f 2 d e . n ~ ~ . Therc-
f o r e , t h e r e i s a s i r p i f i c a n t d i f f e r e n c e between the
( Biol.ogy s c o r e s of male v e r s u s female s t uden t s i n VASC
as hypothesized. .. -
-~~ 4-20 .,'
4; - s t a t i s t i c s was used t o determine whether sex
as a f a c t o r a f f e c t e d s t u d e n t s ' achievement i n mathematics
i n t h e W A X examinations, The a n a l y s i s i s 1
Table 4.20
l P w -- SEX
- MEAN
MALI:
FEMALE
SD -
N
40.31
35.33
df
140
140
278
278
-- .
PL 0.05
p/ 0.05
11.GO
'i1'-79
3-557
1 I
TABLE 4,20
I . , t - S t a t i s t i c s on s tuden ts1 scores i n X A : X
M~themat ics f o r thc year 1986 /
>-
The t a b l e 4.20 above shows t h a t thc
(6,.328) exceeds t h e t a b l e value of (1.9
degrees of freedom a t 3% l e v e l of conf i
t h e r e is a significant d i f f e r e n ~ c betwa
scores of male versus female students i,
as hypothesized.
60) f o r 278
dence . Thcref ore,
en the mathematics
n WhSC examination
The correlation coefficient between studentst science scores
39 I
I 0
'I1
12
N ---- -
20
20 20
20
20
20
20
20
20
20
20
S/No
7.
8,
//'
- 2 - I - L - l
-- Chemistry '
Physics
Biology
Maths
Chemistry
Physics
Biology
Maths
-- Chmelstry
Physics
Biology
Math
School
--
I)
P [ 0.05
I? / 0-05
- P 1 0.05
Mean of -I-----
0.80
--
Om68 ,
0.64 -.
S u b j e c t s
0.91.
. 0.93 0.89 0.74
0-72 0-69 0.71
0-49
0.76
-0.71
0.64-
9
P L 0.05
- P )' . . O m 0 5
.
20 / 0.94
1
Chemistry
Physics Biology
Maths -- ----
8 1 Chemistry
4 Physics
Biology
Maths
. -A
0.87
.+ Om65
- -- 0.68
20 / 0*53
Chemistry
Physics
Biology
Maths .
20
20
20
20
20
20 20
20 20
20
20
* ----
0.83
0.75 Om66
0.84
0.64
Om58
0.61
0.78
0.59 0.56
0.62
- .-
~ / N O School SubJects N --.
*. ..I3 rn 13 Chemistry
lhysics
Biology 20
Ma L-11s 20
In answer to the sccond and t h i x
, . c o r r e l o t i o n n l ana lys i s and t h e mean
schoo l across the oubjcc ta f o r a l l
f ourteer, sar,~ylcd secondary schoo l s
t h e year 1986. . .
From Table 21, the highest corre
G i r l s IIigh School , Nnewe and the le
Awgu High Zchool. Infact; all the c
The sc:mol t h a t registered t h
School. All the results sugp;
Mock.- VASC predicts ';!AX vnr
t h e sub j cc ts .
d researc!! queztior! tz
was contlncted school . by
the twcnty sLud.cnts of the
in i h u ~ u educa t ion zone for -
lotion (0.34- occured at
ask corr.el.al;ion a t (12)
o r r e I . n t l o n s a r e - sbwif icant;. .. .e highes t mean i s A w ~ u IZsh
; es t t h a t the extcrrt t o v h i c h
ly from schooS. t o school ncross
CHAPTER FIVE - ~ --
Mhen hypo thes i s one i s cons idered , it was found that
Mock r s s u l t s i n sc ience s u b j e c t s a c t u a l l y p r e d i c t s t u d e n t ' s
success i n WASC sc ience based s u b j e c t s . I n 15", the
lowest c o r r e l a t i o n c o d f i c e n t (0.56) was o b t a j n e d i n
phys ics while t h e h i g h e s t f o r t he same year was i n Biology I
and Mathematics. I
In *1986, c o r r e l a t i o n c o e f f i c e n t s for a l l the f o u r subjects
a r e high, Prom t h e tables i t can be i n f e r e d t h a t p o s i t i v e
and s ig ;n i f icant r e l a t i o n s h i p e x i s t between tIlc two se t s of
student; s c o r e s i n a l l the s u b j e c t s , which impl ies t h u t
Mock - a c t u a l l y p r e d i c t s WASCo The r e s e z r c h e r , there-
f o r e , r e j e c t s t h e f i r s t n u l l hypothes is wh ich a b a t e s k h z ~ t
t h e r e is no s i g n i f i c a n t s e l n t i o n s h i p between [.he zicncc
s c o r e s o f s t u d e n t s i n Mock - WAS0 and i n the k','i:X examinat ions.
Furthermare, t h e valucs of Pearson I'roduc L Momcnt /
C o r r e l a t i o n ( s ) obta ined i n Table 4.1, 4.10, it k r a s t h a t
t h e e x t e n t t o which Flock - VASC r e s u l t s p r e d i c t ' : / A X examin-
ation r s s u l t s v a r y s i g n i f i c a n t l y wi th ochoola and subjccts
suggest in( ; t h a t t h e e x t c n t of p r e d i c t i o n v,zrg from onc
school t o another .
o For Lhe second hypo thes i s , t a b l e s 4.2, 4.3, 4,4, 4.15,
I 4.5 e t c prc::ent I,he resu1.t-s. Prom the t a b l c s , it is c l c m
1 t h a t t h e r e i s a s i g n i f i c a n t d i f f e r e n c e between male. and
female science scores i n Mock - WASC f
and '1586. Tho1;efore the second n u l l h
r e jec-ted.
For the third hypo thes i s , t a b l e s 4.6
presen ts t h e r e s u l t s , From the t a b l e s
t he re i s s i g n i f i c a n t d i f f e r ence betwee
sc ience scores i n WASC 1985 and 1986,
) r e s of male
'dASC, T h i s implies t h a t the s tuden ts
on s e x .
For the f ~ u r t h hypothcsis i n tables
evident that t he re a re si~nificant dif
Mock - WASC and ?ASC scores i n the aci
t he re i.s no r;i[:nif i c n n t dif f crcnce ,be 1;
and !iAEC scores, the Penxaon's Produc3
c o e f f i c i e n t s obtained f o r d i f f e r e n t su
unity. T o summnrise the f indings.
I ) Mock-NASC predicts students ac
which means t h a t students who d
w i l l also do w e l l i n VASC in t h
(2) The extent %o which Mock-WASC p 1
significantly wi th schools and I - I (3)' There i s a signi1ican.i- d i f f e r e n I
n i f i c a n t dif
of male am
WASC. This means t h a t se3
,the s.tuctent s science scorc
and ? ! A X .
5. There i s a s i g n i f i c a n t did
scores sc ience subjec ts ir
VASC . IIWLT CAT1 ON iji. 1CLNDI NG: i - -- ..--- --- . - . -
T h i s .findinp:o have several i m p :
i n conl;inuous llsscssment Pror
education sys tern. V a l i d and r e l i n b l c
. s tuden ts nrorrress i s the hallmark of
teachsr - made test w i l l kn 7 7 m n r '
sys tern and t h c m f ore its , ,
ascer;ained.
:;ome --LC nchc:rn currently t-cachil
qua1i:fied to t each and evaluate scie?
The purpose of this study w a s . I
students' Mock - YASC scores in
t h e i r achievement i n W A X i n En A
Anambra S t a t e , Teacher - mado
a l l a r ea s of human development
must be ascer ta ined, Llny stud
by Nwane (1979) Anosikc (197$),
resu l t s .
T h i s rcsencher used the 'I985
scores a s the p red i c to r var iabl
sc ience scores a s c r i t e r i o n var
- Three research quest ions and
' t e s ted- review of re lcvunt l i t e
Using fou r t een secondary schoo l
WASC records , a t o t a l of f i v e I-
scores formed the source of -dat
The analysis of da ta were dor
t e s t s a s presented i n chapter t
The f i n d i n ~ s of t h e s tudy wer
studentst achievement in WASC 5
not i n a l l s c h o o l s .
There was a s i g n i f i c a n t d i f f c
male and fernalc both in Mock -
There w n s a sic;rlif icnnt difference
, , scores and IdASC both for 1985 and l98E
schools.
CONCLUSION -.- -- The followina conclusions can be ma
1. From the results obtained showed
bred ic t i vc v a l i d i t y of. 1985 and I
scores are significnnt which i m p 1
1 who do well in Mock - WASC scienc
also do well in WASC in the same
2, The predictability of Mock - WASC
schools and subjects.
3. 'There is a s i g n i f i c a n t d i f f e r ence
female scores in Mock - WASC and
sex as a factor affected t h e
scores in bo th years.
I. The researcher recommends a duplic
using the senior secondary c e r t i f j
(SSCF) r e s u l t s and a different gec
2. Recommends in-service and pre-sert 8 .
science teachers on t e s t evaluatic
.) 3 Gradua-be science I
par t ic ipa te in mE
I . across t h c sampled
tde :
- t h a t .4?he
986 Mock - W A X
.ied t k o t student
:e siab;iects w i l l
science sub2ect.
results vor fhs w i C h
! betwccn male and
1 Ln which neclna
! stuh?ntsl science
:ation of this study
- ca t i on examinat ion
l p a a k i c a l location
rice training l o r
In proccdilre s . t e ache r s should bc : ~ l l o w e d to
irking of WAEC papers in science
The r e s e a r c h e r s i n a b i l i t y t
i n some of the science s u b j e c t s f
students posed a problem. This f
chose t h o s e s tudents from t h e sam
complete f o u r sc ience subjects.
way of record keeping.
Abadom, G-N-, "The relationship between WASC Grades and performance at University, Unpublihsed B,Sc, Thesis, University of Nigeria nsukka, 19'/a. .- -
- -
Agamuo, E.E., A study of relationship between JAMB entrance exams and final Degree of 1981/ 82 and 1982/83 graduates of f acul'ty of education, un ublished Thesis, 9m University of &eria Naukka.
Ali Arlthony "Dimensions ~f effective science teaching as perceived by the University students and science teacher educators in Nigeriau Journal of Re search in Cumicul-urn Vo1 -2 h l y 1984.
Anosike , L e o "A prediction of academic success in the achool certificate examination as measured by Class Four Results in secondary schools, lfUnpubl.ished B,Sc. ~ducution Thesis, UNN, 1975.
A L t a , S - A - A , , "A study of Mock - WASC result as a I predictor of performance in WASC in selected secondary schools in Igala land," Un ublishea PGDE Thesis A,B.U
'
sf Zaria, u y 1975;-
Mgboh, A.M.N, , The Anambra Oommon Entrance as a predictor of academic achievement, unpublished M .ED. Thesis ~niversi.iy of Nigeria, Nsukka, 1 3 0 0 ~ *.
Chaf or-Orizu, N.A. "A study of predicting WASC from Mock - k:ASC.l1 Unpublished B,Sc, --- Education Thesis Umversity of Nigeria, -- R~ulika, 1974.
Nwana, O.C.,
' Nwana, O.C.,
Nweke, C.C
Ohuche R.O.,
Okeke F.N, ,
Research F o r m "sixth .form and. Universi ty Zntry." l i e -v i ew of Education, Nsukka Vol.1 September, '1971, . Educational Measurement for Teachers. Thoriias Nelson (~igeria) Ltd, Lagos, 1979
e t a1 of st1 0' Levc S t a t e , 1983.
Teachersf scores a s a p red i c to r tdents perf ormancc i n ':IK:'>C/GCC ?1 in Nsukka Lone of Anunibra , Universi ty of Niger ia Nsukka,
"Factors Associated with the academic a2hievemen-L of I n d i ~ c n o n s male students of Njala Univcrsi ty-~ol ler ;o: Jaurcal of Education Ministry of Education, Ureetown, October '1963.
"Stude in s c i e r I f' t h e i r Level i n A r ,Fd . - T h e s i s , u r r ~ v u r - 3 1 ~y u.1 IUI:;CI'L~ L ~ s u ~ : L I ~ o , Tmr
"The p red i c t i ve v a l i d i t y of Lorgc- Thorndike In t e l l i gence test for achievement in Nicer im Gra rn rn r l r Schools . The West A f r i c m J -a1 o f 1:ducation and Vocational Pleasuremen-1; , <Val .'l .
FtUCK-WASC AND WASC SCORES OF 280 S T U D E N T u 9 , O E --- THE FOURTEEN SAMPLED SCHOOLS I N THE 4 SCIEFJLE
SUUJECTS FOW THE YEAR 1985 - 49
St-. 32 19 3 4 ;
42 42 30 . 2 8 56 4 4 3n 36 3 7 34 34 2 0 3s 19 30 I 8 20 39 28 &* 2 1 I kl 26 32 31 . 38
' 43 ') 9 4 rJ :j 7 25 49 G3 27 JfJ 4 1 2 1 40 31 24 40 4 1 44
- - --- .___
S/NO [urn) (CW) ( p n ) (Pw! (BY) (BW) (m) (mu) --_I_--
2 5 1 3 1 3 2 25 74 3 9 47 30 232
29 27 28 36 4 P 33 - 4 6 2 9 >a
-233 2 . 33 27 , 6 0 S 1 3 9 23 23 234 17 3 1 1 4 18 33 :i 7 29 * I J 235 3 D 32 23 31; .! so 4 'I 2 5 1 7 235 3 7 29 3 1 17 4 U 3 ,! 2 ., 19 2 37 2 3 3i3 8 6 5 1 . 3 1 3 3 2 1 L 2 238 2 I 3 1 14. 17 2, r3 5 2 29 18 2 39 4 '1 4 7 2 5 4 2 C U 4 3 2 43 4 2 2.30 1 3 27 ? I 3 3 4 I .I d 1 3 ;3 2 4 1 2 i j 3 1 17 I 8 , 2 5 ? 1 ill; 17, 242 '1 6 5 r) 6 1 4 4 ? 4 35 .12 35 2 4 3 zn I 'I 1s 19 i t s 17 1 2 1 5 244 3 D 34 33 3 1 45 3 2 0 !j 2 4 245 SO 3 1 3b 3 2 50 4 2 7 -Z i i C 24 5 3 0 5 0 4 0 30 35 3 1 4 0 2 5 2 4 7 . 2 9 21 53 9 1 23 4 1 !i 0 S 1 298 3 4 3 1 23 2 1 10 3 I ' I 7 2 il 249 4 0 4 2 3 3 34 36 37 '15 2 1 2 50 1 2 4 3 4 1 2 0 n 4 .3 G '1 5 74 259 IG 51 35 2 1 24 4 2 11s 12 2.52 3 4 52 21) 5 0 4 3 52 - _ r t @ 4 2 255 4 8 45 25 26 3 9 5 6 !i 5 43 2 54 55 5 2 33 22 50 3 ;L . .. < tj .1 7 2 5 5 5'1 4 6 7 3 ' 4 4 5 0 4 3 5 8 3 9 2 5 6 50 37 5 R 25 4 5 ? 4 11 5 25 257 5Lj 39 4 3 27 5 0 45 :111 -3 0 2 5 8 5 6 3 4 55 3 1 3r3 '; i !;C 3 9 3.59 34 2'5 3 3, 23. 39 2'4 tb5
" 24
2 611 2 Q 2 1 2 3 2 'I 3 2 '? 3 "I I: 3 t j
. 261 2 5 27 7 fl e 17 S t I.; 4 2 1 '1 3 1 , rn
1 3 31 35 4 1 - ,- 2 5 2 > 'l I u 2 1, .2 6 2 53 dfJ 4 2 x 2 ., : 1 5 1 !j 3 .+ 2 .4 I I- ., 2 54 30 :! 7 22 .:. 3 f; a'i 4 .; 3 1: rat I
,-"
255 S 1 =3 4 I ] $3 1 5 I 5 1; , 11 / ? - .A
266 4 0 3 i: Is 1 :Z C C 3 C 1. !J U 5:c 2tj7 3 4 36 4 I 4 t3 ;1 a 4 0 /I .I .- -
.J 1 r ' I
zsa 3 1 3 n 3 5 4 I 3; 15 5 29 t ~ t ~ 2 FiY 17 3 IJ 7 r : 17 a # I 3 5 - - 5 5 '1 5
4 - 270 70 6 i~ 6 2 6 5 7 1 5 0, S 1 -7 5
2 -
271 4 0 42 4 6 4 1 51! 53 : 7 d 3 . I
272 3 4 5 5 3 1 3 6 3 2 3g 6 1 :i, !;
273 2s 27 .J a 3 I 4 0 42 2 I 2i.i 278 &? 47 4 3 5 0 35 4 3 17 9 1, 275 60, 4 0 4 0 4 3 5 d 6U 5C, .? tl
276 7 5 2 5 75 17 23 2 4 ti 9 1 4 277 7 1 72 6 3 69 7 2 7 5 c Ci 54 270 24 27 3 3 ;4b 4 0 4 1 25 2 1
279 40 40 35 , 40 50. 5 1 2,s 4 1
Zoo 26 27 24 ' 1 26 30 32 10 2 1
S/NO (CN) (CU) (PPI)' (PU) (an) (eu) ( M r l )
1 4 0 35 3ri 2 5 35 37 17 21 2 29 20 40 33 35 ? 2 2 3 23 3 26 3 5 25 2 1 dD 2 9 2 1 19 4 2 1 33 5 0 3 1 43 36 2 6 2 'I 5 45 A 7 36 37 4 5 43 34 3 1 G 16 35 17 2 1 34 37 14 17 7 27 35 31 26 40 31 2 6 23 8 4 0 4 5 23 24 . 29 32 7 6 2 1 9 A4 6 9 31 31 27 3 1 12 24 10 2 /, 1 8 30 20 29 28 22 17 11 20 40 50 25 45 33 17 2 1 12 c 2 42 3 1 36 5 0 53 4 1 36 13 26 28 2 1 20 3 5 3 1 2 1 18
14 . '1 3 17 0 D 14 23 24 10 11 1 S :! 6 30 22 27 30 32 24 30 16 4 (1 45 47 SO 5 2 60 48 43 1 1 34 2e $7 8? ... 23 30 15 76 18 26 34 30 38 40 a 2 23 . 74 13 27 38 4 f 44 4 6 43 - 18 24 20 15 17 12 . 16 18 27 13 17 2 1 1 0 38 4 1 42 6 1 54 SO 45 22 39 47 43 42 ' 6 0 40 3 5 4 5- 23 18 26 22 27 5 1 34 17 25 24 32 36 ?6 29 39 4 1 20 29 2 5 40 43 42 47 52 5 Z 39 44 26 14 2 0 0 7 1 7 2 6 2 4 U 8 15 2 7 3 3 4 2 2 0 31 d 3 4 2 27 2 R 2 U 49 27 30 3 2 37 38 20 30 ZS 32 36 41) 41 4LJ 50 15 17 30 35 3 7 2 1 2 8 4 1 37 2 1 26 3 7 17 30 21 26 2 9 3 2 'I 7 18 32 26 27 23 2 9 4 7 5 2 1 C 14 33 42 4 6 4U 4 2 3 u 36 15 7 6 34 51 5 4 4 4 2 46 4 2 4 1 2 9 3 4 35 43 4 7 3 6 50 4 8 5 1 77 33 36 76 2U 13 18 17 22 13 17 37 23 25 342 27 32 35 27 25 9 17 2 1 23 19 28 32 16 20
39 4 5 42 46 52 56 60 4 2 45 40 46 50 47 49 47 53 40 43 4 1 3 2 35 3 1 27 22 3 2 5 1 2 1 42 24 3 7 26 26 32 31 10 94
PM = Physics Flock-WASC
1\11 L h u scores are i n pnrcc:nt ; :~ jc
o f raw score . T t ~ e same a b r e w i a t .
f o r buth 1 9 0 5 and 1906 .
FORMULA USED
- t e s t s t a t i s t i c s
Where M, = Mean of t he f i r s t group
'2 = Mean of the second group
N1 = Number i n the first group
N2 = Number i n t h e second group
For Pearson's Product Momen-L- Correlation Coefficient
Corre la t ion Coefficient = NFXY - EXY ' - EX)^ )(NEY~-(~~)'
Where X = Value in one variable
Y = Value i n the other var iab le
M = number of Cams compared.
1985 Frequency Distribution for Pre qul Biology Mock (BM) (Female) B i o a .-
ency Distribution for yy Mock (BM)(Male)
Freqnency Distribution f o r Frequency Distribution f o r Physics Mock (P M )(Female) Pwsics Mock (PM)(Male)
Fre quer Mather E