The aim of this study is to investigate the relationship between generic skills and academic achievement among students in
3.3 Sample of the Study
When descriptive
research was employed, simple random sampling is concerned. As stated by Louis
et al. (2000), simple random sampling was found to be the least complicated
compared to all sampling. Simple random sampling is a
sample where everyone in the population has equal opportunities to
be surveyed. Besides, sampling error can be calculated fairly easy for this
type of sampling. In
fact, confidence ranges for the variability in responses due to sampling have been calculated and put
into a table for simple random samples.
A representative sample drawn from the
accessible population will allow researchers to generalize from the sample
results to the accessible population. The survey questionnaires will be distributed
to undergraduate students from three faculties which are Faculty of Business Management, Faculty of Mass
Communication and Faculty of Information Technology. The
students who are currently in semester three and above were selected as respondents for this study.
3.4.1 Academic
Achievement
Academic achievement of students is measured by their
Cumulated Grade Point Average (CGPA) ,
the average of all their Grade Point Average (GPA)
for every semester that they have completed.
Credit for Graduation - the total number of credits hours required to pass a
certain course, as determined by the Senate.
Credit Counted - the credit hours calculated towards obtaining the
GPA and CGPA.
GPA (Grade
Point Average) - the average grade point earned in a semester.
CGPA (Cumulative
Grade Point Average) - the average cumulative point obtained for all semesters.
A student’s performance is assessed using both GPA and CGPA.
GPA
= Total point value of a semesterTotal credit counted of a semester
and
CGPA
= Total point value of all semesters
Total credit counted of all semesters
Percentage score
|
Letter Grade
|
Quality Points
Equivalent
|
Remark
|
Hours Earned
|
85 - 100
|
A
|
4.00
|
Pass
|
Yes
|
80 - 84
|
A-
|
3.67
|
Pass
|
Yes
|
75 - 79
|
B+
|
3.33
|
Pass
|
Yes
|
70 - 74
|
B
|
3.00
|
Pass
|
Yes
|
65 - 69
|
B-
|
2.67
|
Conditional
Pass
|
Yes
|
60 - 64
|
C+
|
2.33
|
Conditional
Pass
|
Yes
|
55 - 59
|
C
|
2.00
|
Conditional
Pass
|
Yes
|
50 - 54
|
C-
|
1.67
|
Fail
|
No
|
40 - 49
|
D
|
1.00
|
Fail
|
No
|
0 - 39
|
F
|
0.00
|
Fail
|
No
|
3.4.2 Generic
Skills
The
students’ generic skills are measured through seven traits of generic skills
that categorized by Ministry of Higher Education Malaysia (MoHE) , 2006.
The items used intend to measure the degree of generic skills that they
have which include (1) communications
skills; (2) critical thinking and
problem solving skills, (3) team work, (4) lifelong learning and information management
skills, (5) entrepreneurship skills, (6) ethics and professional moral, and (7) leadership skills. The distribution of the items
according to the seven generic skills is presented in Table II.
Seven Generic Skills
|
Item number
|
|
Communication
skills
|
|
1
2
|
Critical Thinking
and Problem Solving
|
|
3
4
|
Teamwork
|
|
5
6
7
|
Lifelong
Learning & Information Management
|
|
8
9
|
Entrepreneurship
|
|
12
|
Ethics
and Professional Moral
|
|
10
11
|
Leadership
|
|
13
|
Opinion
|
Scale
|
Least important
|
1
|
Less important
|
2
|
Not important
|
3
|
Somewhat important
|
4
|
Very important
|
5
|
3.5 Data Collection
The data will be collected by
distributing a set of self-inventory questionnaire adapted from seven traits of
generic skills that categorized by MoHE. The questionnaire
will be distributed to undergraduate students, who are from semester three
and above, from three different faculty, to measure the variables in the
research. The
data will be collected on the same day after the questionnaire was distributed.
The researcher will take time to assist and explain in detail about the questions
that were less understood. In order to get high return of the questionnaires,
researcher will wait for the questionnaires to be completed by respondents by
end of their learning session.
3.6 Data Analysis
In analyzing the data, descriptive statistics were used to measure
the research questions, which were related to the level of academic achievement
and the central tendency of the level of generic skills among the respondents.
The frequency and percentage of the data were analyzed using statistical
analysis software, Statistical Package for the Social Sciences
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