Seminar JOM HEBAT Siri 8.0

Perkongsian ilmu daripada 5 orang sifu diteruskan. Kali ini tempat di had kepada 200 orang peserta sahaja.

SEMINAR JOM HEBAT PASCASISWAZAH I 6 JUN 2015 (SABTI) I 8.00 pagi -5.00 petang I MPWS Training Centre, Bandar Baru Bangi, Selangor.I
>>>> http://postgraduateworkshop.com/jomhebatphd/

TEMPAT ADALAH TERHAD !!!!

Antara perkara yang akan dikongsikan adalah seperti berikut:-
* HEBAT bersama En Shuhairy Norhisham “Teknik Komunikasi dengan Supervisor”
* HEBAT bersama Madam Ani Munirah “Jom Analisa Data Kualitatif dengan ATLAS.ti”
*HEBAT bersama Prof Zainudin Hj Awang “Cadangan Penyelidikan & Amos”
*HEBAT bersama Dr Nor Azwadi Che Sidik “Publish and Flourish”
*HEBAT bersama Dr Othman Talib “Tulis Tesis Pantas “

Untuk maklumat mengenai pembayaran dan pendaftaran secara online, sila rujuk:- >>>> http://postgraduateworkshop.com/jomhebatphd/

Bagaimana dengan TESIS anda????

Masih keliru dengan Keadah kajian Anda??????

Tidak pasti sama ada ingin menggunakan Kajian KUANTI @ KUALI????

Aaaaaa stresss nya....

Kami ada jalan penyelesaian.......

Buat julung kalinya kami akan mengadakan Seminar khusus bagi pelajar Pascasiswazah yang menjalankan penyelidikan menggunakan keadah KUANTITATIF.

 

 

 

BERMINAT?????

Tawaran istimewa!!!!

Tempat adalah terhad.

 

Course Title : Seminar Sehari Jom Hebat Kuantitatif

Date » 28 March 2015  (Saturday) Time » 7.30 a.m. - 5.30 p.m. Venue » MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor # map Speaker » Dr Othman Talib Prof Dr. Zainudin Hj Awang Registration Fee » RM150 (early bird rate) / RM250 (normal rate) Medium » Bahasa Malaysia Website » http://postgraduateworkshop.com/jomhebatkuantitatif

APA YANG AKAN DIBINCANGKAN...........

1) APA, MENGAPA, KENAPA, dan BAGAIMANA kajian kuantitaif ini membantu anda dalam menghasilkan penyelidikan tesis.

2) Membantu anda dalam merangka soalan kaji selidik 

3) Akan menerangkan keadah dan cara terkini dalam kajian kuantitatif.

Seminar ini terbuka kepada 

semua pelajar pascasiswazah / pensyarah / tutor dan pelajar tahun akhir sarjana muda.

 

SPSS

SPSS is the data analysis package of choice for people wanting to analyze quantitative data. However, most practitioners find dealing with quantitative data quite daunting. Although most practitioners are quite comfortable with qualitative research methods and analyses, they tend to shy away from using quantitative statistics. However, the ability to perform quantitative data analysis is increasingly becoming an important skill to possess. Actually most people’s fear of statistics is unfounded. The advent of computer software programmes such as SPSS that can be used to analyze data, has meant that people do not have to know or learn mathematical formulae in order to be able to perform quantitative statistical analyses. Nowadays, all one needs to know is the appropriate analyses to perform on their data and how to do it so they can obtain the information they need to know.

This is a hands-on session where tips and tricks are given to students to help them use the SPSS software to analyze quantitative data (including questionnaire) effectively. 

Who Could Benefit From the Course? This workshop is for you if you are involved in analyzing data within your organization. If you are involved in quantitative consumer research, you will benefit by learning new quantitative data analysis skills. If you are involved in qualitative research, you will expand your skills portfolio to include quantitative techniques. This workshop will also be valuable for consultants involved in assignments that produce quantitative data (e.g. usability tests, surveys and focus groups).

How Will I Benefit? After attending this course, you will be able to:

1. Understand how the SPSS program works.
2. Input data into SPSS and save it.
3. Select the appropriate data entry method for the type of data you have.
4. Select the appropriate descriptive analysis technique for the type of data you have and the questions you are trying to answer.
5. Perform the analyses using SPSS.
6. Interpret the data output.
7. Present the results to clients in an accessible fashion. 

Bengkel Sehari PLS-SEM menggunakan SmartPLS

Apa itu SMART PLS?

SMART PLS banyak digunakan untuk menganalisis SEM berbasis komponen. Merupakan teknik alternatif dari SEM berbasis variance seperti AMOS dan LISREL. Software ini dikembangkan oleh institute of Hamburg Jerman dan dapat didownload gratis (tapi harus register terlebih dahulu) SmartPLS adalah aplikasi perangkat lunak untuk (grafis) pemodelan jalur dengan variabel laten (LVP). The partial least squares (PLS)-method (PLS) yang digunakan untuk analisis LVP-in software ini.

Smart PLS menggunakan bahasa JAVA, jadi sebelum menggunakan SmartPLS ada baiknya diinstall terlebih dahulu Java Runtime Environment (JRE) yang juga dapat didownload gratis di situs Sun Microsystem.

Ciri-ciri SmartPLS 

Ciri Algoritma PLS-SEM
° Memaksimakan penerangan terhadap nilai R2
° Memproses data dengan cepat walaupun model kompleks.
° Penganggaran secara linear semua indicator.
° Diguna untuk tujuan peramalan (predictive)
° Hasil boleh diguna untuk analisis selanjutnya
° Tidak terkesan walaupun data tidak cukup.
° Tidak memerlukan penilaian ketepatan padanan model (Goodness-of-Fit)
° Penilaian kesahan dan kebolehpercayaan model reflektif berasaskan pelbagai kriteria.
° Penilaian kesahan, signifikan dan relevan bagi pemberat indicator dan kolineariti indicator
° Penilaian Model Struktural berdasarkan kolineariti antara konstruk, Pekali Laluan yang signifikan, Pekali Penentuan (R2), saiz kesan (f2), Kerelevanan prediktif (Q2 dan q2 effect size)  

Ciri Data
° Teknik Analisis Generasi Kedua - amat sesuai untuk Analisis Penerokaan (Exploratory Analysis).
° Diguna untuk membangunkan teori dalam Kajian Penerokaan.
° Dapat menerangkan varians pada pemboleh ubah bersandar semasa menganalisis model kajian.
° Tiada masalah data identifikasi walaupun menggunakan sampel bersaiz kecil.
° ‘Statistical Power’ boleh dicapai dengan mudah menggunakan saiz sampel kecil.
° Saiz sampel yang besar meningkatkan ketepatan model penganggaran.
° Tiada andaian Data Normal di perlukan kerana PLS-SEM adalan kaedah non-parametrik
° Integriti data tidak tergugat selagi mana missing value dalam tahap diterima.
° Boleh mengendalikan data interval, ratio, ordinal, nominal (ada limitasi).

Ciri Model
° Boleh kendali konstruk dengan satu item atau banyak item dalam satu model.
° Mudah gabungkan konstruk reflektif dan formatif bersama dalam satu model.
° Boleh kendali model kompleks yang mempunyai banyak model struktural.
° Semakin banyak item dalam konstruk, dapat mengurangkan bias.
° Mengendalikan model rekursif sahaja (causal loop tidak dibenarkan)

Kelebihan SmartPLS
° Mudah dikendalikan dan dianalisis.
° Memperkenalkan Smart PLS sebagai salah satu aplikasi yang boleh digunakan untuk menjana hasil penyelidikan
° Menghasilkan model yang kemas dan menarik.
° Mempunyai literature dan jaringan kumpulan sokongan seluruh dunia

Register now!

Course Title : Bengkel Sehari PLS-SEM menggunakan SmartPLS

Date » 5 December 2014  (Friday) Time » 8.30 a.m. - 5.30 p.m. Venue » MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11,  Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor # map Speaker » Dr. Mohd Sobhi bin Ishak Registration Fee » RM200 (normal rate) Medium » Bahasa Malaysia Website » http://postgraduateworkshop.com/smartpls

One Day Workshop on Analysing Literature using Socratic Questioning Method

 

REGISTER NOW!!!!
LIMITED SEATS!!!
ONLY 15 SEATS AVAILABLE NOW....

Date	»	12 December 2014 (Friday)
Time	»	8.30 a.m. - 5.30 p.m.
Venue	»	MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor # map
Speaker	»	Professor Dr. Juhana Salim
Registration Fee	»	RM150 (early bird rate) / RM200 (normal rate)
Medium	»	English
Website	»	http://postgraduateworkshop.com/socratic

Qualitative Analysis Using NVivo

Introduction

Qualitative research is analysed the unstructured information through the data gathered from the related research topic. A good qualitative research need to follow the right procedure and paradigm to reduce bias and non-accurate result. One of the qualitative research software isNVivo which is developing to help researcher easily organize and analyse non-numerical or unstructured data. Plus, it helps the researcher manage their complex, large and messy data in a structured way. When you using NVivo as your qualitative research software; you can 

»	Interchange information between NVivo and other applications like Microsoft Word and Excel, IBM SPSS Statistic, Endnote and Evernote.
»	Choose to work with any conbunation languages such as English, Chinese, French, German, Japanese, Portuguese or Spanish user interface.
»	Search for words that are similar in meaning to quickly test theories.
»	NVivo lets you track your ideas and steps with ease. Use annotations to jot down your thoughts, create memos to capture detailed observation.
»	Let you export your findings as web pages, so you can share files and findings with clients or colleagues who don’t have NVivo.

Course Title : One Day Workshop on Qualitative Analysis Using NVivo
 

Date	»	10 August 2014 (Sunday)
Time	»	8.30 a.m. - 5.30 p.m.
Venue	»	MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor # map
Speaker	»	Dr. Siti Uzairiah Mohd Tobi
Registration Fee	»	RM200 (normal rate)
Medium	»	English
Website	»	http://postgraduateworkshop.com/nvivo

In Ten Minutes!

ANALYZING THE MEDIATOR IN A COMPLEX MODEL

In practice researchers are working with complex models and their theoretical framework in AMOS Graphic is also complicated. Thus, analyzing the mediator in a complex model is quite challenging for new researchers. At all times, the researcher needs to focus on the concept of triangle as stated in Figure 1 which indicates the direct effect and indirect effect when analyzing the mediator. The direct effect is the effect that goes directly from exogenous construct to endogenous construct, while the indirect effect is the effect from exogenous construct to endogenous construct that goes indirectly through the mediator in the model.

Figure 10 illustrate the position of mediator construct namely customer satisfaction in the model. In this example, the researcher is interested to assess the role of Customer Satisfaction as a mediator in the following relationships:

i) The relationship between Service Quality and Customer Loyalty
ii) The relationship between Corporate Image and Customer Loyalty

TESTING THE MEDIATION EFFECT OF CUSTOMER SATISFACTION IN THE RELATIONSHIP BETWEEN SERVICE QUALITY AND CUSTOMER LOYALTY
First of all, obtain the standardized regression weights and the probability values which indicate the significance for the respective path (Figure 10). The required information is given in Table 9. Draw the triangle as shown in Figure 11.

Senyum Pagi Khamis

The Difference between Univariate and Multivariate Regression Analysis

Univariate means that you are assuming that the response variable is influenced only by one other factor. Example: IELTS scores are influenced by GPA. You may be looking to test the hypothesis that as the GPA rises, the IELTS score rises. Here you are assuming that the GPA is the only factor influencing the IELTS score.

Multivariate means that you are assuming that the response variable is influenced by multiple factors (and even combinations of factors). So for example, you might assume that IELTS scores are influenced by GPA and sex (male or female). This type of analysis also leads to possibilities of crossterms, meaning there is some effect of being male and having a certain GPA on the IELTS scores vs being female and having a certain GPA. Basically, a short answer is, univariate deals with one predictor variable; multivariate deals with multiple predictor variables.

Therefore;

We would like to invite you to participate in "One Day Workshop on Analysis of Questionnaire and Survey Data: Multivariate Statistical Techniques".

The workshop is open to all researchers, academicians and postgraduate students from government agencies, Malaysia and International Higher Learning Institutions and private sector.

The details of the workshop are as follows:
Course Title: One Day Workshop on Analysis of Questionnaire and Survey Data: Multivariate Statistical Techniques
Date: 16 May 2014 (Friday)
Time: 8.30 a.m. - 5.30 p.m.

Venue: MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, 

Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor

Speaker: Dr. Shamshuritawati Sharif

Registration Fee: RM 200 

Medium: English

INTERESTED TO REGISTER?? Please click link as below:

>>>>> http://postgraduateworkshop.com/questionnaireanalysis <<<<<

The Advantages of Multivariate Analysis

Multivariate techniques are used to study datasets in consumer and market research, quality control and quality assurance, process optimization and process control, and research and development. These techniques are particularlyimportant in social science research because social researchers are generally unable to use randomized laboratory experiments, like those used in medicine and natural sciences. Here multivariate techniques can statistically estimaterelationships between different variables, and correlate how important each one is to the final outcome and where dependencies exist between them.

Because most data analysis tries to answer complex questions involving more than two variables, these questions are best addressed by multivariate statistical techniques. There are several different multivariate techniques to choosefrom, based on assumptions about the nature of the data and the type of association under analysis. Each technique tests the theoretical models of a research question about associations against the observed data. The theoreticalmodels are based on facts plus new hypotheses about plausible associations between variables.

Multivariate techniques allow researchers to look at relationships between variables in an overarching way and to quantify the relationship between variables. They can control association between variables by using cross tabulation,partial correlation and multiple regressions, and introduce other variables to determine the links between the independent and dependent variables or to specify the conditions under which the association takes place. This gives a muchricher and realistic picture than looking at a single variable and provides a powerful test of significance compared to univariate techniques.

(Source: www.ehow.com/info_8247893_multivariate-techniques-advantages-disadvantages.html)

INTERESTED TO KNOW MORE?? Please click link as below:

>>>>> http://postgraduateworkshop.com/questionnaireanalysis <<<<<

THE EFFECT SIZES IN A MEDIATION MODEL

Effect size is the amount of variance explained in the mediation model contributed by every single path. The researcher might be interested to know the relative contribution of individual paths in the mediation model, especially the effect of a mediator on the dependent variable. The researcher could assess the effect size for every path in the model, and also the mediated effect of the moderator variable itself. Specifically, the two effect sizes are:

(1) The R2 Measures the effect size of individual path in the model (3 paths)
(2) The R2 Measures the size of mediated effect of a mediator in the model
The range of values of R2 and its relative effect size based on definition by Cohen (1988) is given in Table 2.

1) R2 measures for the individual path in the mediation model is defined as follows
     i) r2XM represents the squared partial correlation between the X and M variables in the model,
     ii) r2XY denotes the squared partial correlation between X and Y variables in the model,
    iii) r2MY.X corresponds to the squared partial correlation between the M and Y variables with the influence of X removed,
 
For the above example - the following measures are obtained:
   i) The effect size of Skills & Training (X) on Job Attitude (M) is 0.78 (Figure 1)
  ii) The effect size of Skills & Training (X) on Career Advancement (Y) is 0.59 (Figure 2)
  iii) The effect size of Job Attitude (M) on Career Advancement (Y), controlling for X
This is equivalent to r2XMY - r2XY = 0.67 – 0.59 = 0.08 (Note: r2XMY=0.67 - Figure 1)
Conclusion: The effect size of a mediator on DV in small range

2) R2 Measures for the mediated effect of the mediator (Job Attitude).
This value is computed using the following formula:
R2MY – (R2 XMY - R2XY)
Where:
R2XY is the R2 for the model containing X and Y only (Figure 2)
R2MY is the R2 for the model containing M and Y only (Figure 3)
R2 XMY is the R2 for the model containing all X, M, and Y (Figure 1)
R2MY – (R2 XMY - R2XY)
0.66 – (0.67-0.59) = 0.58

Thus, based on Cohen (1988), the mediated effect size of the mediator Job Attitude in the relationship between Skills & Training and Career Advancement is in large range. 

To know more about this, please join our next workshop :

Date	:	18 & 19 January 2014 (Saturday & Sunday)
Venue	:	MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor
Time	:	8.30am – 5:30pm
Speaker	:	Associate Professor Dr. Zainudin Hj Awang
Fee	:	RM300 (early bird rate) - payment before or by 3 January 2014 RM400 (early bird rate) - payment from 4 January 2014 until closing date
Medium	:	English

http://postgraduateworkshop.com/semlevelone/

Atlas.ti Workshop

Wondering which formats are supported or unsupported by ATLAS.ti? Maybe this graphic is self-explanatory...

Next Atlas.ti Workshop :
29 August 2013 - Kota Kinabalu
30 August 2013 - Kuching
3 September 2013 - Putrajaya
REGISTER HERE>>> http://www.postgraduateworkshop.com/

Artikel di Harian Metro 26 Julai 2013 oleh Dr. Othman Talib

Tesis santai di blog

Menyedari terdapat ratusan ribu pelajar institusi pengajian tinggi awam (IPTA) dan swasta (IPTS) di dalam dan luar negara yang perlu membuat penyelidikan tugasan mereka, bekas guru yang kini menjadi pensyarah di Universiti Putra Malaysia ini mula menulis blog bertajuk Suka Penyelidikan Suka Statistik (SPSS)

Pendekatan diambil Dr Othman Talib sedikit berbeza apabila menulis mengenai penulisan ilmiah secara santai tetapi menyentuh jiwa.

Menerusi blog miliknya, www.drotspss.blogspot.com yang diwujudkan pada 10 Oktober 2010, sehingga artikel ini ditulis, dia sudah memuat naik sebanyak 791 bukaan dengan purata 15 catatan sebulan dan lebih daripada 5,000 keping gambar.

Jumlah itu termasuk 499 catatan khusus berkaitan dengan penyelidikan dan statistik, manakala selebihnya catatan program bengkel bersama pembaca blog, diari kehidupan serta gambar ketika berada di luar negara seperti di Itali, Perancis, Belanda, China, Taiwan dan England.

Lebih membanggakan, pengisian yang dikongsi di dalam blognya mendapat pengiktirafan sebagai salah satu blog pendidikan terbaik di Sidang Kemuncak Blogging Pendidikan Kebangsaan 2011.

"Menerusi blog ini, saya sudah menulis lima strategi unik dalam penyelidikan yang saya ringkaskan sebagai One File One Thesis, Research Framework On Template, Keep On Track Cycle, Speed Reading On Target dan Zero Draft Of Thesis yang mana setakat ini seumpamanya diperkenalkan sesiapa.

"Sangat mengujakan apabila pembaca blog ini secara berkumpulan menganjurkan pelbagai bengkel bagi mendalami strategi berkenaan. Sebagai perunding berdaftar dengan UPM COnsultancy, saya juga ditaja oleh Malaysia Postgraduate Workshop Series (MPWS) untuk menganjurkan bengkel penulisan tesis di seluruh Malaysia.

"Saya menjadikan penulisan bahan ilmiah secara santai untuk tarikan pembaca. Blog ini seperti pusat sehenti kepada pelajar yang akan dan sedang menjalankan kajian peringkat sarja dan doktor falsafah (PhD). Selain itu, bengkel yang dianjurkan juga diikuti pelajar Malaysia di luar negara yang balik bercuti," katanya.

Ditanya alasan memilih blog sebagai medium menyampaikan maklumat, Dr Othman berkata, dia percaya blog bukan saja boleh digunakan tempat meluah perasaan atau menulis diarai persendirian, tetapi ia perlu dimanfaatkan untuk tujuan ilmiah serta perkongsian maklumat.

Mengambil contoh, lima strategi yang ditulisnya itu menjadi teknik dan panduan dalam penyelidikan serta penulisan tesis yang lebih efisien serta sistematik tanpa mengira jenis bidang diambil sama ada sains mahupun sains sosial.

Dia juga memilih blog disebabkan suka menulis perjalanan hidupnya yang saling berkaitan dengan tugasan membua tpelbgai penyelidikan dan statistik.

"Saya menyukai blog kerana ia boleh dibaca di mana saja dan sesuai dengan pendekatan santai penulisan saya walaupun ketika mengupas isu serius.

"Selalunya, saya menulis ketika mempunyai waktu terluang termasuk sewaktu berada di dalam kapal terbang atau makan di restoran. Saya tidak memerlukan masa yang panjang kerana kebanyakan bahan ditulis adalah perbuatan hati saya sendiri.

"Sebelum menulis, saya fikirkan dulu dan merangkanya dalam minda kerana tidak mahu menulis secara melulu. Dengan cara ini, saya tidak buang masa memandang skrin komputer atau menunggu ilham datang menjelma.

"Semua persoalan yang diterima oleh pelajar akan saya jawab secara langsung pada program kelolaan saya atau menerusi balasan e-mel dan sebahagiannya melalui blog saya secara santai," katanya yang sudah menjelajah hampir ke semua IPTA di negara ini dan pernah mengendalikan program di Adelaide, Australia.

Menurut Dr Othman, kebanyakan masalah yang dihadapi pelajar membabitkan kegagalan mereka untuk meletakkan dri pada landasan betul sebagai calon sarjana atau PhD yang berjaya.

Mereka tiada panduan dan hanya mengikut jejak langkah ditinggalkan senior selain tidak mengusai perisian yang amat diperlukana dalam penyeledikan dan penulisan tesis seperti Mendeley, SPSS dan Atlas.ti.

Malah tidak keterlaluan jika dikatakan mereka juga gagal mengusai perisian penulisan seperti MS Word atau LaTex sehingga menjadikan kerja penulisan memakan masa lama dan memenatkan.

Kini, Dr Othman banyak mengendalikan program berbentuk bengkel pembelajaran praktikal seperti Penulisan Cepat Tesis, Pengurusan Artikel dengan Mendeley, Analisis Kualititatif dengan Atlas.ti seta Analisis Data kuantitatif dengan SPSS>

Bagaimanapun, kebanyakan program itu dianjurkan sendiri oleh pelajar sarjana dan PhD yang juga sebahagian besarnya pembaca setia blog miliknya.

Tambah istimewa, program berkenaan juga dihadiri peserta dari Brunei dan Indonesia serta pelajar Malaysia yang balik bercuti dari luar negara.