COURSE
PARTICIPANTS’ VIEWS ABOUT TTRIBUTES RELATED TO MALE AND FEMALE
TEACHERS
Instruments/measurement tools
Limitations of the study
Reliability of the instrument
REFERENCES:
Bryman, A. (2004). Social research method. Oxford: Oxford University Press.
Carrington, B., & McPhee, A. (2008). Boys’ ‘underachievement’ and the feminization of
teaching. Journal of Education for Teaching. 34(2), pp. 109-120
Carrington, B., Tyumms, P., & Merrell, C. (2008). Role models, school improvement and the
‘gender gap’-do men bring out the best in boys and women the best in girls? BritishEducational Research Journal. 34(3), pp. 315-327
Cohen, L., Manison, L., &Marrison, K. (2000).Research method in education: (5thed.) New York: RuthledgeFalmer.
Jha, J., & Kelleher, F. (2006).Boys’ Underachievement in Education. Canada: Ultratech Printing
Ltd.
really make a difference? Australian Journal of Education. Retrieved on January 5, 2011 from http://goliath.ecnext.com/coms2/gi_0199-5013070/Motivating-boys-and-motivating-girls.html
Thorne, B. (1993). Gender play: Girls and boys in school. Buckingham: Open University Press.
Tymms, P. (1999). Baseline assessment and monitoring in primary schools: achievements,
attitudes and value-added indicators. London: David Fulton.
BY: BASHIR AHMED KHAN (PDT)
INTRODUCTION
Gender
is a term used to describe socially driven aspects of our lives such as the role
we play, the responsibilities we take on, the views we perceive and the behavior
and activities we engage in. Among many perceptions on gender, I have observed
and experienced as a student as well as a teacher that male teachers are often
associated with boys and female teachers among girls in Gilgit-Baltistan,
Pakistan. Various studies lend support to this view that matching with teacher
and pupil by gender leads to high achievements in education. Martin and Marsh
(2005) supported my view that boys fare better in classes taught by males and
girls fare better in classes taught by female in subsequent Australian study.
Similarly, matching teachers with students by gender has a positive impact on
educational performance (Carrington, Tymms and Merrell, 2008). However, Tymms
(1999) states that boys and girls are very similar in their attainment levels
throughout the primary education.
Based
on my observations, experiences and above facts, this study explores M.Ed[1]course
participants’ (CPs) views about male teachers produce more positive attitude
among boys and female teachers among girls at a private university in Karachi,
Pakistan.
This
paper concentrates on purpose of the study, research hypothesis, research
design, sample and sampling procedure. It also discusses about measurement
tools, data collection procedure, ethical consideration and limitations of the
study. Data analysis, findings/results discussion and conclusion are also part
of the study.
Purpose of the study
The
purpose of this study is to explore the M.Ed. CPs’ views at a private university
about male teachers produce more positive attitude among boys and female
teachers among girls.
This
study would be useful to know whether matching teachers and students by gender
has any differential effects on children performance in education. It is because
many studies claim that boys are underachieved due to feminization of teaching
(Jha and Kelleher, 2006; Carrington and Mcphee, 2008).
Null-hypothesis of the study
There
is no difference in M.Ed. CPs’ views at a private university that male teachers
produce more positive attitude among boys while female teachers among girls in
Karachi, Pakistan.
METHODOLOGY
Research design
In
order to investigate the CPs’ views about students’ performances with matching
teachers by gender, I used survey (Cross Sectional) as research design which
helped me to collect information (views) directly from the selected sample once
at a time. I wanted to compare male and female CPs’ views about attributes
related to male and female teachers which helped me to explore students’
performance with respect to teachers by gender. I found survey is an appropriate
method to use for comparison. Cohen, Monison, & Marrison, (2000) also favor
it by saying that “survey method is the best method used to compare two groups
to see how much they differ from each other” (p10).
Sample and sampling procedure
The
sample on which this study was conducted comprised 49 CPs (24 female and 25
male). The sample belonged to different sex based sections of class M.Ed. 2011
and M.Ed. 2012 in a private university in Karachi, Pakistan. The type of
sampling used for this study was non-probability sampling, more specially
convenience sampling. This sample was simply available to me by its
accessibility (Bryman, 2004).
Instruments/measurement tools
A
questionnaire (see appendix B) was used as a major tool for data collection. The
questionnaire was comprises 14 items of CPs’ views about attributes related to
male and female teachers. Each item was scored on a five-point scale of (5)
extremely well, (4) very well, (3) somewhat, (2) poorly and (1) not at
all.
Procedure
Direct
mode of administration was used as method to deliver of the instrument. I
distributed the questioner among CPs and requested to fill the questionnaire.
The invitation letter (see appendix A) is attached with the questionnaire. I
asked the CPs to give a number which describes their level of agreement about
the attributes related to male and female typical teachers. I collected the
questionnaire next day when CPs filled out the tool.
Ethical consideration
To deal with all ethical considerations, I got oral consent from my participants. Similarly, I attached consent form (see appendix A) with the questionnaire and requested to sign if they are willing to participate in the study. Furthermore, I made sure the CPs that the data will not be shared with anyone else and it will only be used to an academic paper for gender in education course.
Limitations of the study
The
sampling procedure was convenient sampling. Thus, the results cannot be
generalized to all CPs because; this sample cannot be representative of the
whole population (Bryman, 2004). As it is obvious that in quantitative study it
is important to have a large sample in size but my sample size was small which
is not enough to generalize the findings in any other similar context.
Reliability of the instrument
In
order to find out the reliability of the instruments, I applied Cronbach Alpha
test reliability for CPs’ views about attributes related to male and female
teachers in table 1.1. The value of alpha α =.694 shows that the instruments
were reliable. I have piloted the instruments before it administer. I found some
instructions are needed to modify. After appropriate changes, I administered the
tool.
Table:
1.1
Reliability
of items for CPs’ views about attributes related to male and female teachers
Reliability
Statistics
| |
Cronbach's
Alpha
|
N
of Items
|
.694
|
14
|
DATA ANALYSIS PROCEDURE
I
entered the collected data in computer and coded (e.g.1 for male, 2 for female)
using SPSS[2]. It is the
process of transforming a mass of raw date into tables and charts. It is also a
process of artfully moulding, extracting and refining the raw data, so that the
meaning and significance can be grasped. Further, in descriptive analysis, I
computed the mean score of CPs’ views as independent variable and gender of the
teachers as the dependent variable. Furthermore, test of normal distribution of
the variables of CPs views were first tested through histogram. The histogram in
figure 1 reveals that the scores about male teachers have been symmetrical
distributed around the mid-point. It is perfect bell-shaped curve and shows that
scores are around than the mean point.
Figure
1
Similarly,
I used the thumb rule to conform the normal distribution of the data. The
statistics presented in table 1.2 shows that the value of Skewness (.631) was
not more than two times the value of Std. Error of Skewness (.340). This means
that the data were normally distributed. Furthermore, the data was qualified for
t-test for CPs views about attributes related to male teachers.
Table
1.2
Descriptives
| ||||
Statistic
|
Std.
Error
| |||
Mean_Male_Attributes
|
Mean
|
3.1035
|
.06511
| |
Median
|
3.0000
|
|||
Variance
|
.208
|
|||
Std.
Deviation
|
.45575
|
|||
Minimum
|
2.21
|
|||
Maximum
|
4.57
|
|||
Range
|
2.36
|
|||
Skewness
|
.631
|
.340
| ||
Kurtosis
|
.989
|
.668
|
Moreover,
test of normal distribution of the variable of CPs’ views about attributes
related to female teachers were first tested through histogram. The histogram in
figure 2 reveals that the scores of CPs’ views about female teachers have been
normally distributed around the mid-point. It is a bell-shaped curve and shows
that scores are around the mean score. This shows that data is symmetrical
distributed.
Figure
2
Similarly,
I used the thumb rule to conform the normal distribution of the data. The
statistics presented in table 1.3 shows that the value of skewness (.408) was
not more than two times the value of Std. Error of Skewness (.340). This meant
that the data were normally distributed. Furthermore, the data was also
qualified for t-test for CPs views about attributes related to female teachers.
Table
1.3
Descriptives
| ||||
Statistic
|
Std.
Error
| |||
Mean_Female_Attributes
|
Mean
|
3.3426
|
.06119
| |
Median
|
3.3571
|
|||
Variance
|
.183
|
|||
Std.
Deviation
|
.42832
|
|||
Minimum
|
2.71
|
|||
Maximum
|
4.57
|
|||
Range
|
1.86
|
|||
Skewness
|
.408
|
.340
| ||
Kurtosis
|
-.066
|
.668
|
FINDINGS AND RESULTS
CPs’ views about attributes related to male teachers
The
table 1.4 shows that one of the key finding from this study is that on average,
the CPs views about attributes related to male teachers is average. When
compared the mean scores, it is found that the male CPs scored (M=3.20; SD=.52)
is slightly higher views about attributes related to male teachers than their
counterpart female CPs scored (M=3.00; SD=.35). Male CPs have more dispersion
from the mean. It shows that the difference within the group members of male CPs
is higher than the female CPs. It means that there are male CPs who have very
high and less views about attributes related to male teachers.
Table
1.4
Report
| ||||
Mean_Male_Attributes
|
||||
Male
and female
|
Mean
|
N
|
Std.
Deviation
|
Std.
Error of Mean
|
Male
|
3.2029
|
25
|
.52436
|
.10487
|
Female
|
3.0000
|
24
|
.35308
|
.07207
|
Total
|
3.1035
|
49
|
.45575
|
.06511
|
Moreover,
the items of the study were tested and compared individually to look for any
significant difference in the scores of male and female CPs. The t-test was used
to check the difference. The test statistics shown in table 1.5 that
Sig.(2-tailed) values for the fourteen items are [t (47) =.118, P >.05] not
significant. Thus, there is not a significant difference in CPs’ views about
attributes related to male teacher.
Table
1.5
Independent
Samples Test
Levene's
Test for Equality of Variances
|
t-test
for equality of means
| |||||
F
|
Sig.
|
t
|
df
|
Sig.
(2-tailed)
| ||
Mean_Male_Attributes
|
Equal
variances assumed
|
4.338
|
.043
|
1.582
|
47
|
.120
|
Equal
variances not assumed
|
1.594
|
42.201
|
.118
|
CPs’ views about attributes related to female teachers
Similarly, the table 1.6 depicts that another key finding from this study is that on average, the CPs’ views about attributes related to female teachers is also average. When compared the mean scores, it is found that the male CPs scored (M=3.35; SD=.43) is almost equal to their counterpart female CPs scored (M=3.33; SD=.42). Similarly, the dispersion from mean is also same in both male and female CPs. It shows that the difference within the group members of male CPs and female CPs is almost same.
Table
1.6
Report
| ||||
Mean_Female_Attributes
|
||||
Male
and female
|
Mean
|
N
|
Std.
Deviation
|
Std.
Error of Mean
|
Male
|
3.3543
|
25
|
.43910
|
.08782
|
Female
|
3.3304
|
24
|
.42588
|
.08693
|
Total
|
3.3426
|
49
|
.42832
|
.06119
|
Moreover,
the items of the study were tested and compared individually to look for any
significant difference in the scores of CPs. The t-test was used to check the
difference. The test statistics shown in table 1.7 that Sig. (2-tailed) values
for the fourteen items are [t (47) =.124, P>.05] not significant. Thus, there
is not a significant difference in CPs’ views about attributes related to female
teachers.
Table
1.7
Independent
Samples Test
Levene's
Test for Equality of Variances
|
t-test
for equality of means
| |||||
F
|
Sig.
|
t
|
df
|
Sig.
(2-tailed)
| ||
Mean_female_Attributes
|
Equal
variances assumed
|
.103
|
.749
|
.194
|
47
|
.123
|
Equal
variances not assumed
|
.194
|
.847
|
.124
|
DISCUSSION AND CONCLUSION
The
results show that there is not a significant difference with CPs views about
attributes related to male and female teachers. In other worlds, there is not
any indication which shows that male teacher are particularly effective with
boys or female teachers with girls. Similarly, this study also shows that there
is not any indication that effective results of children are associated with
male and female teachers. Furthermore, both male and female teachers are
perceived as supportive by CPs. Carrington and McPhee (2008) argue that same
gender matching does not have a significant influence on children achievement or
attitude in education. As a result, I accepted the null-hypothesis stated early
that there is no difference in views of M.Ed. CPs at a private university that
male teachers produce more positive attitude among boys while female teachers
among girls. However, Carrington, Tymms and Merrell (2008) claim that there is a
tendency for male teachers to enhance the educational performance of boys and,
conversely, for female teachers to enhance the educational performance of
girls.
One
reason may be that the participants of the study were adults, therefore they
might have a good understanding about gender and gender related issues. They
would be sensitized about gender; therefore their responses did not show any
difference in attributes between male and female teachers. It may be another
reason that as gender is considered a sensitive issue in our society, therefore
to keep CPs themselves in a safe side they have given an average value which did
not make any difference in attributes between male and female teachers. If such
a study would be conducted with school children then their views might be
different about teachers across gender. Thorne (1993) states that school
children and adults have different perceptions about gender. Therefore, the
findings of the study could be different when such a study is conducted with
school children.
Second
reason might be that the participants are currently studying at a private
university where male and female faculties are engaged in teaching for both the
gender. It may be possible that participants did not experience any difference
in the performance of male and female teachers. If such a study would be
conducted with single sex students with matching teacher by gender then their
views would be different across gender.
REFERENCES:
Bosner, K. C.
(2008). Gender Stereotype and self perction among college students. Journal of
Diversity
Management. 3(3), 41-52 Bryman, A. (2004). Social research method. Oxford: Oxford University Press.
Carrington, B., & McPhee, A. (2008). Boys’ ‘underachievement’ and the feminization of
teaching. Journal of Education for Teaching. 34(2), pp. 109-120
Carrington, B., Tyumms, P., & Merrell, C. (2008). Role models, school improvement and the
‘gender gap’-do men bring out the best in boys and women the best in girls? BritishEducational Research Journal. 34(3), pp. 315-327
Cohen, L., Manison, L., &Marrison, K. (2000).Research method in education: (5thed.) New York: RuthledgeFalmer.
Jha, J., & Kelleher, F. (2006).Boys’ Underachievement in Education. Canada: Ultratech Printing
Ltd.
Martin,
A. J. & Marsh, H. (2005). Motivating boys and motivating girls: does
teachers’ gender
really make a difference? Australian Journal of Education. Retrieved on January 5, 2011 from http://goliath.ecnext.com/coms2/gi_0199-5013070/Motivating-boys-and-motivating-girls.html
Thorne, B. (1993). Gender play: Girls and boys in school. Buckingham: Open University Press.
Tymms, P. (1999). Baseline assessment and monitoring in primary schools: achievements,
attitudes and value-added indicators. London: David Fulton.
COURSE PARTICIPANTS’ VIEWS
ON GENDER: A SURVEY
Please read the words or
phrases in the first column and fill column A and B of the table
below:
In column A, write a
number from 1 to 5 next to each word or phrase based on how you would complete
the following sentence: “This word (phrase) describes the typical male
teacher…”
Extremely well =5; Very
well= 4; Somewhat = 3; Poorly = 2; Not at all = 1
In column B, write a
number from 1 to 5 next to each word or phrase based on how you would complete
the following sentence: “This word (phrase) describes the typical female
teacher…”
Extremely well =5; Very
well= 4; Somewhat = 3; Poorly = 2; Not at all = 1
A
|
B
| |
This word or phrase describes a
typical male teacher …..
|
This word or phrase describes a
typical female teacher ……
| |
Helpful
|
||
Aspiring
|
||
Cooperative
|
||
Caring
|
||
Friendly
|
||
Skillful
|
||
Creative
|
||
Reserved
|
||
Assertive
|
||
Aggressive
|
||
Emotional
|
||
Authoritarian
|
||
Pessimistic
|
||
Rigid
|
Gender (please
circle): Male Female
Class (please
circle) M.Ed. 2011 M.Ed. 2012
Note: This tool
is adapted from
Bosner, K. C.
(2008). Gender Stereotype and self perction among college students. Journal of
Diversity
Management
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