Kadang-kadang kita diasak dengan soalan daripada orang, kenapa kita sambung pengajian ke peringkat Phd? Macam-macam orang kata, susahlah, boleh belajar ke nanti? Ah! Kita punya alasan sendiri kan untuknya! Mungkin ini alasan-alasan yang sering kita dengar.
1. Berminat dengan topik tertentu. Untuk kepuasan diri
2. Kerana kita akan berkerja dalam bidang akademik.
3. Untuk kenaikan gaji
4. Kita mahu menjadi seorang pakar dalam bidang yang kita ceburi
5. Dapat tajaan. Wow!
6. Mahu bergelar Dr! Yey!!!
Jadi, apakah alasan anda?
Hmmm, walau apa pun alasan anda, teruskan usaha dan perjuangan anda. Jangan sesekali mengalah!
Monday, October 28, 2013
Orang bertanya ; KENAPA?
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Tuesday, October 22, 2013
CAD knowledge
Hi there,
Allow me to share with you some info about CAD knowledge and its importance
in the engineering world today.
It’s safe to say that computer-aided design, or CAD, revolutionized modern
day engineering. CAD allows for the easier development of products and product
management integration. It also allows for greater modeling and even provides a
basis for virtual networking!
In the engineering world, CAD is extremely important and widely used to
design and develop products to be used by consumers. This knowledge is a hot
commodity for those employing engineers, because of its benefits in the
engineering workplace.
CAD Drawing Benefits
CAD drawings offer the flexibility to draft and design in a digital
sphere, which were previously done by hand. The digital format makes data
handling easier, safer, and quicker. Prior hand drawn blueprints can be scanned
and then can be expanded upon digitally. Many CAD programs are now using
three-dimensional drawings to maximize productivity and provide quicker, better
product results, allowing for the development of the tiniest details.
Project Management Benefits
CAD’s excellent ability for comprehensive documentation and communication
allows for an easier product management environment. Team communication is
simpler and less stressful due to the easy sharing properties. Engineers
working in teams on complex projects can establish a CAD library, allowing
for the storing and reference of certain projects.
Interested to know more about the
nearest hands-on AutoCAD workshop which is delivered by a certified trainer???
Register yourself now for the next AutoCAD course. The details are as
follows:-
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DO NOT MISS OUT THIS
OPPORTUNITY!
ACT NOW TO ENJOY THE ‘EARLY BIRD
RATE’!
If you are interested to attend the workshop, please
contact our Marketing Executive, Caroline Julis through email at mpws.richtraining@gmail.com
Regards,
Juliana Binti Juhata
Operations Manager
MPWS Rich Resources
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Monday, October 21, 2013
Qualitative Research and Data Analysis using NVivo software
Hi there!
This is some info about Qualitative Research and Data Analysis using NVivo software.
This is some info about Qualitative Research and Data Analysis using NVivo software.
What is Qualitative
Research?
- Qualitative research is all about exploring issues, understanding phenomena, and answering questions?
- It analyzed the unstructured information through the data gathered from the related research topic.
- It gains insight into people’s attitudes, behaviors, value systems, concerns, motivations, aspirations, culture or lifestyle.
- It’s used to inform decisions, policy information, communication & research.
What is Qualitative Research
software?
- Helps people to manage, shape and make sense of unstructured information.
- It does NOT do the thinking for you; it provides a sophisticated workspace that enables you to work through your information.
- It has tools for classifying, sorting and arranging information.
- It gives you more time to analyze the materials, identify the themes, glean insight and develop meaningful conclusions.
- ‘TRY & ERROR’ OR ‘TRY & ADJUST’
What is NVivo?
NVivo is software that helps you easily organize and analyze unstructured
information, so that you can ultimately make better decisions.
Whatever your materials, whatever your field, whatever your approach,
NVivo provides a workspace to help you at every stage of your project - from
organizing your material, through to analysis, and then sharing and reporting.
“NVivo is more than a simple qualitative data analysis program; it is a
vital resource for planning, team coordination, literature reviews, research
design, data analysis and reporting.”
Chris Atchison, Department of Sociology and Anthropology (Simon Fraser
University)
NVIVO as computer
aided software
Computer aided software need to be treated as an aided tool (Nacos et
al., 1991) and not as a replacement for highly developed human capabilities of
reading, transcribing, and translating written matter.
It is vital for a researcher to have the skills and ideas to challenge
their analysis by undergoing a manual procedure to ensure the reliability and
validity of doing research.
Researchers need to bear in mind that, only they know what they are
trying to seek from the raw data, and how they could possibly manipulate the
data towards the right direction.
What does NVivo help
you achieve?
• Spend more time on analysis and discovery, not administrative tasks.
• Work systematically and ensure you don’t miss anything in your data.
• Interrogate your information and uncover subtle connections in ways
that simply aren’t possible manually.
• Rigorously justify your findings with evidence.
• Manage all your material in one project file.
• Easily work with material in your own language.
• Effortlessly share your work with others.
At the end of the program you should be able to start your analysis using
NVivo to cater your research need by providing/reporting your result in
systematic way.
INTERESTED TO
KNOW MORE ABOUT THE WORKSHOP???
Click here to find out about the
nearest one-day workshop on Qualitative Analysis using NVivo: <<http://postgraduateworkshop.com/nvivo/>>
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If you are interested to attend the workshop, please contact our Marketing Executive, Caroline Julis through email at mpws.richtraining@gmail.com
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Thursday, October 17, 2013
Do you know what is Rasch Analysis?
Rasch Analysis can be applied to assessments in a wide range of disciplines, including health studies, education, psychology, marketing, economics and social sciences.
Many assessments in these disciplines involve a well-defined group of people responding to a set of items for assessment. Generally, the responses to the items are scored 0, 1 (for two ordered categories); or 0, 1, 2 (for three ordered categories); or 0, 1, 2, 3 (for four ordered categories) and so on, to indicate increasing levels of a response on some variable as health status or academic achievement. These responses are then added across items to give each person a total score. This total score summarize the responses to all the items, and a person with a higher total score than another one is deemed to show more of the variable assessed. Summing the scores of the items to give a single score for a person implies that the items are intended to measure a single variable, often referred to as a unidimensional variable.
The Rasch model is the only item response theory (IRT) model in which the total score across items characterizes a person totally. It is also the simplest of such models having the minimum of parameters for the person (just one), and just one parameter corresponding to each category of an item. This item parameter is generically referred to as a threshold. There is just one in the case of a dichotomous item, two in the case of three ordered categories, and so on.
1. What is Rasch Analysis?
What is a Rasch Analysis? The Rasch model, where the total score summarizes completely a person's standing on a variable, arises from a more fundamental requirement: that the comparison of two people is independent of which items may be used within the set of items assessing the same variable. Thus the Rasch model is taken as a criterion for the structure of the responses, rather than a mere statistical description of the responses. For example, the comparison of the performance of two students' work marked by different graders should be independent of the graders.
In this case it is considered that the researcher is deliberately developing items that are valid for the purpose and that meet the Rasch requirements of invariance of comparisons.
Analyzing data according to the Rasch model, that is, conducting a Rasch analysis, gives a range of details for checking whether or not adding the scores is justified in the data. This is called the test of fit between the data and the model. If the invariance of responses across different groups of people does not hold, then taking the total score to characterize a person is not justified. Of course, data never fit the model perfectly, and it is important to consider the fit of data to the model with respect to the uses to be made of the total scores.
Many assessments in these disciplines involve a well-defined group of people responding to a set of items for assessment. Generally, the responses to the items are scored 0, 1 (for two ordered categories); or 0, 1, 2 (for three ordered categories); or 0, 1, 2, 3 (for four ordered categories) and so on, to indicate increasing levels of a response on some variable as health status or academic achievement. These responses are then added across items to give each person a total score. This total score summarize the responses to all the items, and a person with a higher total score than another one is deemed to show more of the variable assessed. Summing the scores of the items to give a single score for a person implies that the items are intended to measure a single variable, often referred to as a unidimensional variable.
The Rasch model is the only item response theory (IRT) model in which the total score across items characterizes a person totally. It is also the simplest of such models having the minimum of parameters for the person (just one), and just one parameter corresponding to each category of an item. This item parameter is generically referred to as a threshold. There is just one in the case of a dichotomous item, two in the case of three ordered categories, and so on.
1. What is Rasch Analysis?
What is a Rasch Analysis? The Rasch model, where the total score summarizes completely a person's standing on a variable, arises from a more fundamental requirement: that the comparison of two people is independent of which items may be used within the set of items assessing the same variable. Thus the Rasch model is taken as a criterion for the structure of the responses, rather than a mere statistical description of the responses. For example, the comparison of the performance of two students' work marked by different graders should be independent of the graders.
In this case it is considered that the researcher is deliberately developing items that are valid for the purpose and that meet the Rasch requirements of invariance of comparisons.
Analyzing data according to the Rasch model, that is, conducting a Rasch analysis, gives a range of details for checking whether or not adding the scores is justified in the data. This is called the test of fit between the data and the model. If the invariance of responses across different groups of people does not hold, then taking the total score to characterize a person is not justified. Of course, data never fit the model perfectly, and it is important to consider the fit of data to the model with respect to the uses to be made of the total scores.
If the data do fit the model adequately for the purpose, then the Rasch analysis also line arises the total score, which is bounded by 0 and the maximum score on the items, into measurements. The line arised value is the location of the person on the unidimensional continuum - the value is called a parameter in the model and there can be only one number in a unidimensional framework. This parameter can then be used in analysis of variance and regression more readily than the raw total.
2. Why undertake a Rasch Analysis?
A researcher who is developing items of a test or questionnaire intending to sum the scores on the items can use a Rasch model analysis to check the degree to which this scoring and summing is defensible in the data collected. For example, if two groups are to be compared on the variable of interest (e.g. males and females), it is important to demonstrate that the workings of the items is the same in the two groups. Working in the same way permits interpreting the total score as meaning the same in the two groups.
In checking how well the data fit the model, it is important to be able to diagnose very quickly where the misfit is the worst, and then proceed to try to understand this misfit in terms of the construction of the items and the understanding of the variable in terms of its theoretical development.
A researcher who is developing items of a test or questionnaire intending to sum the scores on the items can use a Rasch model analysis to check the degree to which this scoring and summing is defensible in the data collected. For example, if two groups are to be compared on the variable of interest (e.g. males and females), it is important to demonstrate that the workings of the items is the same in the two groups. Working in the same way permits interpreting the total score as meaning the same in the two groups.
In checking how well the data fit the model, it is important to be able to diagnose very quickly where the misfit is the worst, and then proceed to try to understand this misfit in terms of the construction of the items and the understanding of the variable in terms of its theoretical development.
A very important part of the Rasch analysis from this perspective is to be in dynamic and interactive control of an analysis and to be able to follow the evidence to see where the responses may be invalid.
INTERESTED TO KNOW MORE ABOUT THE
WORKSHOP???
Click here to find out about the nearest two-day workshop on Rasch Analysis
using WINSTEPS: <<http://postgraduateworkshop.com/raschanalysis/>>
|
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|
If you are interested to attend the workshop, please contact
our Marketing Executive, Caroline Julis through email at mpws.richtraining@gmail.com
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