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

MAIN STRENGTH AT A GLANCE Part 2

Great Usability
From its first release over a decade and a half ago, ATLAS.ti has been hailed by users for the way it has been designed with their concrete needs and the way they work in mind. Here are a few highlights:
 

Interface
Any combination of functions can be open together, which allows equally for extremely comfortable and efficient work. A major independent study specifically praised ATLAS.ti for its "slick interactivity between different objects and tasks" which contributes to the high degree of "fluidity with which you can flick between views and functions." (Lewins/Silver, p.) Unlike other programs, ATLAS.ti employs line wrapping of text when the window size is reduced.

Interactive Margin
ATLAS.ti introduced the classic margin view as early as 1996.

It is ATLAS.ti's perhaps most central work view, and it facilitates work by providing an extremely intuitive environment that emulates a traditional paper-and-pencil feel. Your codes are conveniently in view at all times, even appearing simultaneously as you code.

Its ability to let you choose between viewing codes, memos or hyperlinks, or combinations of them is unique to ATLAS.ti and makes it the most intuitive and most flexible QDA tool out there.

Navigation, Units of Context
ATLAS.ti displays the widest variety of units of context while at the same giving you the most precise text segments at the lower levels (word, sentence, paragraph). Clear and concise points of reference (such as line and paragraph numbers) always make moving around--even large documents--easy.

Bengkel Penulisan Tesis Pantas dan Pengurusan Artikel Mendeley daripada Dr.Othman Talib akan ke utara!!

Anda mengalami kesukaran menyiapkan tesis?

Ini terjadi kerana anda memilih untuk membuatnya dengan cara yang susah. Kalau begitu, adakah terdapat  cara yang senang untuk menyiapkan tesis?

Kami memahaminya dengan ungkapan:

“HASILKAN TESIS BUKAN SENANG, JADI MENGAPA PULA MEMBUATNYA DENGAN CARA YANG SUSAH ?”

Begini caranya …

Dari minda “Think Outside The Box” Dr OT 

 Apa yang akan dipelajari?

- Pengenalan Penulisan Tesis dan Penyelidikan
- z-draft, KOT, RFOT, SROT,
- Mendeley, Lit Rev kritis

Dan banyak lagi...


Bengkel ini memberi fokus tentang penyedian pelajar kepada bagaimana untuk memulakan penulisan tesis. Aspek yang ingin ditekankan oleh Dr. Othman Talib adalah penulisan tesis dengan pantas.

Tarikh: 7 September 2014
Tempat: Bilik Seminar Tun Mahathir, Blok D, Kompleks Pentadbiran Seriab Universiti Malaysia Perlis (Unimap)

Boleh daftar segera sebelum penyertaan akan di tutup.
http://postgraduateworkshop.com/tulistesispantasmalaysia/

THE SECOND ORDER CONFIRMATORY FACTOR ANALYSIS

The Second Order CFA is a statistical method employed by the researcher to confirm that the theorized construct in a study loads into certain number of underlying sub-constructs. For example, the theory posits that service quality construct consist of five underlying sub-constructs and each sub-construct is measured using certain number of items. The researcher might want to estimate the effect of main construct on its sub-constructs. Here, the main construct has become second order construct while the sub-constructs have become the first order construct.

THE STEPS IN PERFORMING SECOND ORDER CFA

The procedure of performing the second order factor analysis is as follows:

Step 1: Run the CFA for all first order latent sub-constructs (measurement model) In this step, the researcher is running CFA for the measurement model of sub-constructs. The CFA procedure for first order constructs has been discussed in detail in Chapter 3.

Step 2: Run the Second Order CFA for the main construct on its sub-constructs In this step, the researcher estimate the causal effects from the main construct to all its sub-constructs. The estimation is carried out by linking the main construct to all sub-constructs using a single headed arrow. The objective here is to estimate the factor loading of main construct on its sub-constructs in order to confirm that the theorized second order construct loads into the respective sub-constructs.

PERFORMING SECOND ORDER CFA FOR TRAINING TRANSFER CONSTRUCTS

In this study, the researcher is estimating the Training Transfer construct (main construct) on its three sub-constructs namely Knowledge, Skills, and Attitude. The three latent sub-constructs are measured using certain number of items.

As usual, the researcher runs the CFA to validate the measurement models of the latent constructs for unidimensionality, validity, and reliability. After CFA, the items remaining for sub-construct Knowledge, Skills, and Attitude are three, four, and four respectively as shown in Figure 1.

 

Figure 1: The CFA for the sub-constructs
In Figure 1, we can see that all fitness indexes achieved the required level. Now these sub-constructs are ready to be modeled in its main constructs as shown in Figure 2.

 

Figure 2: Estimating the factor loading for the main construct (second order) Training Transfer

In the above diagram, Training Transfer is the main construct while Knowledge, Skills, and Attitude are three sub-constructs. Prior to Second Order CFA, these three sub-constructs have gone through CFA for their measurement model (Figure 1). In second order CFA, the main construct Training Transfer will become second order construct and the three sub-constructs will become the first order constructs.

 

Don't miss our workshop end of this month!

Course Title : Two Day Workshop on Structural Equation Modeling (SEM/AMOS) Level 2

 

Date	»	29 & 30 August 2014 (Friday & Saturday)
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. Zainudin Hj Awang
Registration Fee	»	RM350 (early bird rate) / RM400 (normal rate)
Medium	»	English
Website	»	http://postgraduateworkshop.com/semleveltwo