Page 27 - Surveyor 50.2 2015

Employability Skills Among Quantity Surveying Graduates in the Construction Industry
Vol.50 No.2 2015

3. Research As for Section A, the questions had been Online questionnaire is applied for this
Methodology self-developed whereas Section B and research because the researcher has
Section C has been modified based on greater flexibility in displaying questions.
3.1 Questionnaire Design SCANS Model (2001), Mohd Yusof Husain, Besides, the period spent on the analysis
Seri Bunian Mokhtar, Abdul Aziz Ahmad, is subsequently reduced since the data is
The purpose of this section is to explain Ramlee Mustapha (2010). collected into a central database. It is also
the function of each segment of the easier to correct the errors on an online
questionnaire. All questions were closed- A 5-point-Likert scale ranging from 1 (not questionnaire, since the researcher does
ended type and the questionnaire was very important) to 5 (very important) was not have to reprint all the questionnaires to
divided into three main sections: used in this study. distribute to the respondents.

Section A : Background of Employers 3.2 Data Collection Technique 3.3 Sampling Design

Section B : The importance of employability For this study, the researcher used a In this study, the researcher used a
skills through employers perspective quantitative approach to achieve the probability sample to collect data,
objectives. The online survey approach is which was collected by emailing the
Section C : The elements of employability used by sending out email questionnaires questionnaires among the employers in
skills needs by employers for Quantity to gather information from the Quantity Surveying consultant firms in
Surveying graduates respondents. the Malaysian construction industry. A
total number of 241 firms were selected
Table 1: Gender randomly from 339 QS firms. The data
was conducted over a two month period
Gender Frequency Percentage Cumulative to solicit results, from which 33 numbers
GGeennddeerr FFrreeqquueennccyy PPeerr6cc3%%%ee.6nn0ttaaggee CCuuPPPmmeee6uu3rrrcccll.aa6eee0ttnnniivvtttee responded. It involved only random
selection for employers because some
Male 21 663363..66400 1660330...660000 of the firms have more than one branch.
FMMeaamlleeale 122211 3366..4400 110000..0000 The list of firms were obtained from the
FFeemmaallee 1122 details provided by the Board of Quantity
Cumulative Surveyors Malaysia (BQSM).
Table 2: Age CCuuPPPmmeee3uurrr3cccllaa.eee3ttnnnii0vvtttee
4. Data Analysis
Age Frequency Percentage Valid 353733...336000
AAggee FFrreeqquueennccyy PPeerrcc3ee3%%%nn.3ttaa0ggee PPPeeeVV3rrr3aaccc.lleee3iidd0nnnttt 955777...606000 4.1 Background of Employers
1990770..00.0000
30-40 years 11 323343...323000 233343...323000 110000..0000 Table 1 addresses the gender of the
334100---445000 yyyeeeaaarrrsss 11811 322449...422000 322494...224000 respondents. Most of the respondents
445111---556000 yyyeeeaaarrrsss 1883 33399.0..44000 33399..0.44000 Cumulative were Male (63.60%), with 36.40% Female.
565111---667000yyyeeeaaarrrsss 11133 33..0000 33..0000 CCuuPPPmmeee2uurrr4cccll.aaeee2tt0nnniivvtttee
6611 --7700 yyeeaarrss 11 Table 2 shows the age of respondents.
223464...224000 The majority of the respondents were
Table 3: Working Experience 335646...445000 51-60 years of age (39.40%), followed by
1550440..55.0000 30-40 years (33.30%), then 41-50 years
5 to 10 years Frequency Percentage Valid 110000..0000 old (24.20%) and 61-70 years old (3.00%).
5151ttooto111005yyeeyeaarrassrs FFrreeqquueennccyy PPeerrccee%nnttaaggee PPPeeeVV2rrr4aaccc.lleee2iidd0nnnttt This shows that the majority of the
111115 tttooo 121055 yyyeeeaaarrrsss respondents on the age is valid as it was
11M55orttooe 22th00ayynee2aa0rrssyears 8 24%%.20 212424...221000 plausible to be employers within the age
TMMoootrraeel tthhaann 2200 yyeeaarrss 848 111228...211000 bracket of 51-60 years.
TToottaall 464 212424...212000 141885...225000
1665 111282...121000 1440550..55.0000 Table 3 shows the years of working
311355 114885...522000 110000..0000 experience in their firms. The maximum of
3333 1440550..55.0000 the respondents had experience of more
110000..0000 than 20 years (45.50%), followed by 5 to
10 years (24.20%), then 15 to 20 years.
Table 4: Number of Projects Involved Valid Cumulative (18.20%). The least working experience is
Percentage PPPeeeVV2rrr7aaccc.lleee3iidd0nnnttt CCuuPPPmmeee2uurrr7cccll.aaeee3tt0nnniivvtttee 11 to 15 years (12.10%). This result shows
10 to 20 projects Frequency PPeerrccee%nnttaaggee that the employers have the necessary
112001 tttooo 232000 ppprrrooojjjeeeccctttsss FFrreeqquueennccyy 222747...332000 252771...335000 experience the industry.
27%%.30 242484...225000 1550110..5.50000
9 222774...323000 1440880..5.50000 110000..0000
989 110000..0000
22M11orttooe 33th00appnrr3oo0jjeeccpttrssojects 1886 242484...522000
TMMoootrraeel tthhaann 3300 pprroojjeeccttss 113663 1440880..55.0000
TToottaall 3333 110000..0000

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