WHO SHOULD ATTEND School of Civil

School of Civil Engineering
Pusat Pengajian Kejuruteraan Awam
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WHO SHOULD ATTEND
Data analysts, engineers, scientists, lecturers, students and those who
require statistical software to analyze data and do basic statistical analyses.
Data analysts, engineers, scientists, lecturers, students and those who need
to analyze questionnaires or surveys.
Date : 31 May 2016, 1 & 2 June 2016 (Tuesday, Wednesday & Thursday)
Time : 9:00 a.m. – 5:00 p.m.
Venue : Kompleks ЄUREKA, Universiti Sains Malaysia, Penang.
WORKSHOP FEE
in collaboration with:
Fee inclusive of GST.
(GST registration no : 0012 9141 9648).
Fee covers tea breaks and lunches, workshop materials
and Certificate of Attendance.
RM 850.00 per participant
(wholly-owned by Universiti Sains Malaysia)
(Co. No.: 473883-H)
HRDF : 0159
Group : RM 720.00 per participant
(minimum of two (2) participants in a group)
Student : RM 650.00 per participant
Participants are required
to bring laptop for this
workshop.
(No group discount available)
(Proof of Student I.D. is compulsory)
HRDF CLAIMABLE*
*Subject to HRDF Approval
LEARNING OUTCOMES.
RECOMMENDED ACCOMMODATION
Data Management and Statistical Analyses using SPSS.
1. To understand the basic features of SPSS including how
to input data files, manage data and perform graphical
techniques using SPSS.
2. To understand the exploratory data analysis techniques.
3. To be able to do categorical data analysis.
4. To apply statistical tests of hypotheses about means
using t-tests and one-way analysis of variance.
ALORA HOTEL
B Tower, Bayan Point, 19, Medan Kampung Relau,
Bayan Lepas
11900 Penang.
(M) Ms. Hazliza (016 – 458 3568)
(T) +604–646 7777 / +604–645 7100 (Reservation)
(E) rsvn@alorahotel.com / sales@alorahotel.com
(URL) http://www.alorahotel.com/
Analysis of Questionnaires using SPSS.
1. To understand the basic descriptive statistics that can be
used from the data.
2. To apply the most appropriate statistical techniques for
data obtained from questionnaires.
WORKSHOP CO-ORDINATOR
Associate Professor Ahmad Shukri Yahaya
AHMAD SHUKRI YAHAYA is a
lecturer at the School of Civil
Engineering, Engineering Campus,
Universiti Sains Malaysia (USM). He
obtained his M.Sc. from the
University of Aston, Birmingham in
Industrial Mathematics.
His area of research is in air pollution modelling,
simulation and data analysis. He is a principle researcher
for the Clean Air Research Group, USM and an associate
researcher for the Centre of Modelling and Data Analysis,
UKM.
He has conducted a number of workshops in SPSS for
several government departments as well as for the SPSS
Users Group. He has written numerous papers in journals
and conferences at local and international levels. He has
written ten books in Engineering Statistics and Engineering
Mathematics. He has taught Engineering Statistics
Courses at the School of Civil Engineering and has
used SPSS extensively while teaching the courses and in
his research.
ENQUIRIES
Technical:
Assoc. Prof. Ahmad Shukri Yahya
School of Civil Engineering, Universiti Sains Malaysia.
(E) ceshukri@usm.my
(Off) +604 – 599 5999 ext. 6270 / (M) +6012 – 501 1718
Registration & other enquiries:
Khairol Anuar Mohammed
Education & Training Services, Usains Holding Sdn. Bhd.
(DL) +604 – 653 5714 / (M) +6012 – 286 9048
(E) khairol@usainsgroup.com / khairol_usains@yahoo.com
VISTANA HOTEL
213, Jalan Bukit Gambir, Bukit Jambul, 11950
Penang.
(M) Ms. Roslinda (017–443 0109)
(T) +604–646 8000
(E) vispg@ytlhotels.com.my
(URL)
http://www.vistanahotels.com/Penang/bukitjambul/De
fault.aspx
OLIVE TREE HOTEL
76, Jalan Mahsuri, Bayan Lepas
11950 Penang.
(M) Ms. Nornazia (+6019 – 559 7415)
(T) +604 637 7777
(E) life@olivetreehotel.com.my /
reservations@olivetreehotel.com.my
(URL) http://olivetreehotel.com.my
USM GUEST HOUSE
Universiti Sains Malaysia, Minden
11800 Penang.
(M) Ms. Ruzana (+6012 – 581 4702)
(T) +604–653 2030 / +604–653 2050 / +604–653
2033
(E) guesthouse@usainsgroup.com
(URL) http://guesthouse.usainsgroup.com
U HOTEL BAYAN LEPAS
676, Jalan Sungai Dua, Taman Pekaka
11700 Penang.
(T) +604–658 1000 / 658 1001
(E) bookus@uhotelpenang.com
(URL) http://uhotelpenang.com
APPLE 1 HOTEL
33, Persiaran Bayan Indah, Sungai Nibong, Bayan
Lepas
11900 Penang.
(T) +604 – 640 6666
(E) contact@apple1hotel.com
(URL) http://www.apple1hotel.com
CONTENTS
DATA MANAGEMENT, STATISTICAL ANALYSES AND ANALYSIS OF
QUESTIONNAIRES USING SPSS
DAY 1
DAY 2
SESSION 1 – INTRODUCTION TO SPSS.
Basic features of SPSS, data input, defining
variables, importing Excel files and data
transformation.
SESSION 5 – CATEGORICAL DATA ANALYSES.
The chi-square test.
Tea Break
Tea Break
SESSION 2 – EXPLORATORY DATA ANALYSES.
Descriptive statistics and tables.
SESSION 6 – INTRODUCTION TO THE t-TESTS.
One sample and two sample t-tests.
Assumptions of the t-tests.
Lunch
Lunch
SESSION 3 – GRAPHICAL TECHNIQUES.
Bar charts, line graphs, area graph, pie charts,
Box plots, error plots, histogram, P-P and Q-Q
plots.
SESSION 7 – THE ONE-WAY ANALYSIS OF
VARIANCE.
One-way analysis of variance.
Assumptions of the one-way analysis of
variance.
Tea Break
Tea Break
SESSION 4 – PROBLEM SOLVING USING SPSS.
SESSION 8 – PROBLEM SOLVING USING SPSS.
End of Day 1
End of Day 2
DAY 3
SESSION 9 – BASIC FEATURES OF QUESTIONNAIRES.
Introduction to survey design.
Data collection methods.
Sampling.
Questionnaire design.
Entering data and coding.
Tea Break
SESSION 10 – RELIABILITY AND VALIDITY.
Methods of determining reliability: retest method, alternative form method, split-half method and
internal consistency method.
Meaning of validity.
Lunch
SESSION 11 – MULTIVARIATE ANALYSES.
Correlations.
Factor analysis.
Tea Break
SESSION 12 - PROBLEM SOLVING USING SPSS.
End of Day 3
Disclaimer
The Organizer reserves the right to reschedule or cancel any part of its published programme or venue due to unforeseen circumstances and
will not accept liability for costs incurred by participants or their organizations for the cancellation of travel arrangements and/or accommodation
reservations as a result of the course being cancelled or postponed. Advance notice will be given if there are such changes or cancellation.
REGISTRATION FORM
DATA MANAGEMENT, STATISTICAL ANALYSES AND ANALYSIS OF
QUESTIONNAIRES USING SPSS – MAY 2016
Send registration form to: Khairol Anuar, Usains Holding Sdn. Bhd., Level 2, Block C, Sains@USM,
No.10, Persiaran Bukit Jambul, 11900 Bayan Lepas, Penang.
Fax : +604 – 643 0490
Email : khairol@usainsgroup.com / khairol_usains@yahoo.com
NO.
PARTICIPANT NAME
POSITION & EMAIL
1.
2.
3.
4.
5.
Organisation
Address:
Company Registration No:
Postcode:
Contact Person:
Tel:
E-mail:
Mobile:
MODE OF PAYMENT
I enclosed
Fax:
Number
Bank
No. of Participants
Cheque
Normal
Bank Draft
Group
Money Order
Student
PO / LO
RM
TOTAL
Cheque / Bank Draft / Money Order / LO / PO must be made payable to ‘USAINS – EDUCATION AND TRAINING’.
1. Bank Transfer [Please fax your Bank-in Slip (Print your name & details on the slip)].
Payee Name
: Usains – Education and Training.
Details
: Data Management, Statistical Analyses and Analysis of Questionnaires using SPSS – May 2016.
Name of Bank
: AmBank (M) Berhad, Level 21, Menara Dion, Jalan Sultan Ismail, 50250 Kuala Lumpur.
Account Number
: 888 – 100 – 985 – 0380
Swift Code
: ARBKMYKL
2. A Local Order (LO) or Purchase Order (PO) must be presented before the event.
The Organizer reserves the right to refrain a registered participant from taking part in the event if no proof of payment can
be presented. This only applies to registered participants who have NOT paid the registration fee PRIOR to the event
date.
3. Cancellation / Substitution
A full refund less administration cost of RM 200.00 will be given for cancellation received not later than 10 working
days before the event. No refund will be made after this period. However, substitute participants are welcomed at no
extra charge provided written notice of at least 5 working days before the event is given to the Organizer.
The personal data that you have provided to USAINS, whether now or in future, may be used, recorded, stored, disclosed, or otherwise processed
by or on behalf of USAINS in accordance with the Personal Data Protection Act 2010 and USAINS' data protection policy (available at USAINS'
website - www.usainsgroup.com), for the purpose of facilitation and organisation of this event, research and audit, and maintenance of a participant
database for the promotion of this event, and such ancillary services as may be relevant.