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ÃÓã ÇáãÞÑÑ: Research Methods & Design
Ïß澄 ÇáãÞÑÑ: Dr. Abdullah Al- Fraidan
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[ÃÓÆáÉ ãÑÇÌÚÉ ãÌåæÏ ÔÎÕí - Research Methods & Design - Ï. ÇáÝÑíÏÇä]
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Research Methodology ## 1435
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[ÃÓÆáÉ ãÑÇÌÚÉ - Research Methods & Design - Dr. Abdullah Al Fraidan]
ÃÓÆáÉ ãÑÇÌÚÉ - 1 -
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åÐÇ ÔÑÍ another day
Çááå íÌÒÇåÇ ÇáÌäÉ
.
.
äÈÏÇ Úáì ÈÑßÉ Çááå ...
ÇáãÍÇÖÑå ÇáÇæáì
-ÈÏà ÈÊÚÑíÝ ÇáÈÍË
Research:
-The systematic investigation into and study of materials and
sources in order to establish facts and reach new conclusions.
æÞÇá Çä Çæá ÎØæÉ Ýí ÇáÈÍË Êßæä
feeling problem Çí ÇáÔÚæÑ ÈæÌæÏ ãÔßáå .....
ÈÚÏ ãÇ ÔÚÑÊ ÈÇáãÔßáå ÈãÚäì æÌæÏ ãÓÃáÉ ÊÈí ÊÓæí ÚáíåÇ ÈÍË ÚÔÇä ÊáÞì áåÇ Íá ÊÌí ÇáãÑÍáå Çááí ÈÚÏåÇ æåí
investigate for the solutions of the problem.
ÊÈÏà ÊÊÞÕì ÇáÍáæá æÊ쾄 ÚáíåÇ ÚÔÇä ÇáãÓÃáå Çááí ÇäÊ ßÇÊÈ ÈÍËß ÚÔÇäåÇ
ÊÌí ÚäÏäÇ ÇáãÑÍáå Çááí ÈÚÏåÇ æåí
gather some data first
ÈãÚäì ÇääÇ äÈÏà äÌãÚ ÇáãÚØíÇÊ æÇáÍÞÇÆÞ
æÇáÍÞÇÆÞ åÐí æÇáãÚØíÇÊ äÌíÈåÇ ãä
different sources
æÈÇáÇÎíÑ
see what the cause of the problem was and testing some solutions until you reach the result .
äÔæÝ Ôäæ ÓÈÈ åÐí ÇáãÔßáå æäÌÑÈ ÈÚÖ ÇáÍáæá ááæÕæá Çáì äÊíÌÉ ãÑÖíÉ
áÐÇ ÚÔÇä íßæä ÚäÏí ÈÍË æÚÔÇä ÇÓãíå ÈÍË ÖÑæÑí íßæä ÚäÏí ÈÇáÇÎíÑ äÊíÌÉ
)result (
æÇáÍíä äÑÊÈ ÎØæÇÊ ÇáÈÍË
- steps of Research:
1- feeling problem is the first step of doing the Research
2- next step is .. Ask yourself "what should I do ?"
--> investigating the solutions of the problem.
3- then you'll start gather some data
4- see what the cause of the problem was and testing some solutions until you reach the result .
æÇÐÇ ÇÈí ÇÓæí ÈÍË áÇÒã Êßæä ÚäÏí ÇÓÇáíÈ æÇÓãåÇ
methods
A particular procedure for accomplishing or approaching
something, esp. a systematic or established one.
^
ÊÍÝÙæä ÇáÊÚÑíÝ ÍÞåÇ
æåæ ÇáÇÌÑÇÁ Çááí äÓæí Ýíå ÇáÈÍË æááÃÓÇáíÈ Çááí ÝíåÇ äÓæí ÈÍË ßÐÇ äæÚ
a- Qualitative method) you collect data through some tools and you explain
and discuss, argue, hypothesis and philosophy them
^
we deal with data , explanation of data …. EtcÊÚÊãÏ Úáì ÇáÈíÇäÇÊ
b- Quantitative method) you collect data through some tools and you
quantify them(
^
we deal with numbers.ÊÚÊãÏ Úáì ÇáÇÑÞÇã
ÈÚÏåÇ íÌí ÚäÏí Ôßá ÇáÈÍË ÇáÊÕãíã ÍÞå
Design
æÊÚÑíÝå:
It is a logical structure of the inquiry (research)
æØÈÚÇ ÊÕãíã ÇáÈÍË íÚÊãÏ Úáì ÇáÃÓÇáíÈ Çááí ÇäÇ ÇÊÎÐÊåÇ ÓæÇÁ ÊÚÊãÏ Úáì ÇáÈíÇäÇÊ Çáæ ÇáÇÑÞÇã
From the Methods I can design my research .
-ÇáÇÈÍÇË ÊÎÊáÝ Úä ÈÚÖ Úáì ÍÓÈ ÇáãÔßáå Çæ ÇáãÚÖáå Çááí ÊÊßáã ÚäåÇ ÝãËáÇ:
Types Of Research
Descriptive : to describe the situation > just describe without result.
Explanatory : just explore to explain the reasons
Ethnographic
:
The branch of anthropology that scientifically describes specific human cultures and societies
ÝÑÚ ãä Úáã ÇáÇäÓÇä <
Experimental : it's Widely used in science, biology, chemistry, etc.
Case study : it's study on only very few # of people not many of them >>> just 1 or 3 or 10 at most
Longitudinal : study of something at different points in time
cross-sectional : study of something at one point in time
ÇáäæÚíä ÇáÇÎíÑå ÈíÌí ÐßÑåã ÈÇáãÍÇÖÑå ÇáËÇãäå
.
.
.
æÈßÐÇ ÎáÕäÇ ÔÑÍ ÇáãÍÇÖÑå ÇáÃæáì
ÃÈæ ÞÕí
2017- 2- 15, 10:50 PM
ÇáãÍÇÖÑå ÇáËÇäíå
Quantitative: collect data through some tools and you quantify them.
Qualitative: collect data through some tools and you explain and discuss, argue, hypothesis and philosophy them.
ÚÔÇä ÊÞÏã ÈÍË áÇÒã íÍÊæí Úáì ÚÔÑ ÚäÇÕÑ ãåãå æáÇÒã ÊÍÝÙæäåã
Classical Report of Research
Abstract - Introduction - Literature Review - Methods - Data Analysis - Results - Discussion - Conclusion - Bibliography – Appendices
ÇáÎáÇÕÉ-ÇáãÞÏãÉ-ãÑÇÌÚÉ ÇáÃÏÈ-ÇáÃÓÇáíÈ-ÊÍáíá ÇáÈíÇäÇÊ-ÇáäÊÇÆÌ-ÇáãäÇÞÔÉ-ÇáÎÇÊãÉ-ÇáãÑÇÌÚ-ÇáãáÇÍÞ.
æåÐí ÇáÚäÇÕÑ ÞÏ ÊÞÏã Ýí ÇáÈÍË ß:
a chapter Çæ a section
ÞÓã Ãæ ÝÕá(ÈÇÈ)
æåÐÇ íÚÊãÏ Úáì äæÚ ÇáÈÍË æØæáå
ãËáÇ ÚäÏí
Theories æ Dissertation>> doctoral message åÐí ãËá
Øæíáå ÝÊßæä Ýí
As a chapter
æÊßæä Ýí ...
Articals æ term paper
As a Section
ÇÐÇð :
*the 10 Items will be as a sections in Articals , and as a chapter in dissertation theories.
*we can put (Data Analysis - Results - Discussion) in one chapter , depending on their lengthy.
äÈÏà ÈÔÑÍ ÚäÇÕÑ ÇáÈÍË ÇáÚÔÑå:
Research
ÇáÈÍË åæ...
Research is) Looking for new ideas and findings
ÊÚÑíÝ ãåã (
Abstract :
ÇáÎáÇÕå
- It's not get chapter for itself (why??) cause it is only one page or less .
- æÏÇÆãÇ äáÞÇåÇ ÈÇáãÞÏãå ÈÌãíÚ ÇäæÇÚ ÇáÈÍË ÓæÇÁ ÞÕíÑ Çæ Øæíá
(We find it in the beginning of the articals , dissertations and theories Research.(
æÈÇáÑÛã ÇäåÇ Êßæä ÈÈÏÇíÉ ÇáÈÍË ÇáÇ ÇäåÇ ãÇ ÊßÊÈ ÇáÇ ÈÚÏ ÇáÇäÊåÇÁ ãä ßÊÇÈÉ ÇáÈÍË áÇäåÇ ÊÍÊæí Úáì äÊíÌÉ ÇáÈÍË ÇáãÞÏã
æÇáÎáÇÕå ÊÚÊÈÑ ßáãÎÕ ááÈÍË
- in Abstract we write the result of our Research.
-It is a Summary of the whole things
Introduction:
ÇáãÞÏãÉ
In Introduction we introduce the problem and the topic of our Research
Ýí ÇáãÞÏãÉ äÓÊÚÑÖ ÇáãÔßáå ÈÔßá ÚÇã ãä ÛíÑ ÊÝÕíá
We can put it in chapter (in dissertation or theories )
Or
we can put it in section (in Articals ) or in term paper (it's shorter than articals
There are 4 categories of Research :
Theories< longest
Dissertation< Long
Articals <Short
Term paper "Assignment"< Shortest
Literature Review :
ãÑÇÌÚÉ ÇáÃÏÈ
ÊÈÍË Úä ÇáÇÔíÇÁ Çááí áåÇ ÚáÇÞå ÈãæÖæÚß
æÊÈÍË Úä ãæÇÖíÚñ ãÔÇÈåå æÊßÊÈåÇ ÈØÑíÞÊß ÇáÎÇÕå
- It's important when you write this chapter , you must write it in your own way and you should avoid the plagiarism (steal other's text ).
- In Literature Review you going to read about your topic , the previous studies , similar to your study and then report it in your own words ( not copy & past ).
Methods :
ÇáÃÓáæÈ
æåí ÚÈÇÑå Úä ÇáÇÓáæÈ æÇáØÑíÞÉ ÇáÊí ÊßÊÈ ÈåÇ ÈÍËß
How are you doing your Research ?!
Data Analysis :
ÊÍáíá ÇáÈíÇäÇÊ
ÈÚÏ ÌãÚ ÇáÈíÇäÇÊ ÇÍÊÇÌ ÇÍááåÇ ÈØÑÞ ãÎÊáÝå áÇÙåÇÑ ÇáäÊíÌå
After you gather all your data ; you must analyze it.
Results :
ÇáäÊÇÆÌ
ÈÚÏ ãÇ ÍááÊ ÇáÈíÇäÇÊ ÕÇÑ ÚäÏß äÊíÌå ÝÊÍÏÏ Çáãåã ãäåÇ æÊÙåÑå ÈØÑíÞå ããíÒå æããÊÚå
After you analyze your data = you have result or maybe enumerate result that you need select the important of them
but if you have few result you can report it all and present them in very interesting way.
Conclusion :
ÇáÎÇÊãÉ
ÇáÈÍË ÇáØæíá íÍÊÇÌ áÎÇÊãå
Êßæä ãáÎÕ Úä ÇáÈÍË
áÊÐßÑ ÇáÞÑÇÁ ÈãÇ ÞãäÇ Èå ÈÇáÈÍË
If our Research is very lengthy then we need put the Conclusion .
- It's summary about the Research and to remind readers what we have done through the Research.
Bibliography :
ÇáãÑÇÌÚ
ÇáÝåÑÓ Çæ ÞÇÆãÉ ÇáãÑÇÌÚ
ÊÚØíäñÇ ÇÓãÇÁ ÇáßÊÈ æããßä ÊÓÊÎÏã ØÑíÞå ããíÒÉ Ýí ÊÞÏíãåÇ
You give us the list of books and articals.
- You use special way to present it ( AB style )
Appendices :
ÇáãáÇÍÞ
- ÊÍÊæí Úáì äÓÎ ãä ÇáÇÓÊÈíÇäÇÊ æÇáãÞÇÈáÇÊ ÇáÊí ÇÓÊÎÏãÊåÇ Ýí ÇáÈÍË ÇáÎÇÕ Ýíß.
- ÊÞÏÑ Çäß ÊáÍÞ Ýí äåÇíÉ ÈÍËß ÇÓÊÈíÇäÇÊ, ãÞÇÈáÇÊ, ÕæÑ, ÑÓæã ÈíÇäíÉ æ ãÚáæãÇÊ ÅÖÇÝíÉ Êßæä ãÝíÏå áÈÍËß
- It's contains copies of questionnaires and interviews that you used in your Research .
- You can append in the end of your research Questionnaires , interviews , pictures, graphs, extra information's that useful to your research.
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æÈßÐÇ ÇäÊåÊ ÇáãÍÇÖÑå ÇáËÇäíÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:52 PM
ÇáãÍÇÖÑÉ ÇáËÇáËÉ
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Abstract
ÇáÎáÇÕÉ
åí ÚÈÇÑå Úä ãáÎÕ ááÈÍË ßáå
a summary of the whole thing
åí ÎáÇÕå ÞÕíÑå áÈÍËß ÈÇáßÇãá ÃÐÇ ÇÊÞäÊ ßÊÇÈÊåÇ ÝÇäß ÈÐáß ÊÌÐÈ ÇáÞÇÑÆ áÞÑÇÁÉ ÈÍËß
An abstract is a short summary of your completed research.
If done well, it makes the reader want to learn more about
your research.
æÇáÚßÓ ÕÍíÍ...
If we don't write a well Abstract = we may lose reader cause we have not make them interesting.
"summary" < it's very short & not long than one page
æåí ÞÕíÑå ÌÏÇ íÚäí ãÇÊÊÚÏì ÇáÕÝÍå
ÍÌãå íÎÊáÝ æíÚÊãÏÚáì ÍÓÈ ãæÖæÚ ÇáÈÍË
It is important to note that the weight accorded to the different components can vary by discipline.
æÈÇáäÓÈå ááäãÇÐÌ ÍÇæá Çäß ÊÊÎÐ Çááí íßæä ãÔÇÈå áÈÍËß ÇäÊÈå ãæ ãÚäÇåÇ äÓÎ æáÕÞ æåÐí ÇáØÑíÞå ÊÌäÈß ãä ÇáÎØÃ Ýí ÍÌã ÈÍËß
For models, try to find abstracts of research that is similar to your research and model it..
Components of an Abstract- ÚäÇÕÑ ÇáÎáÇÕÉ
1-ÇáÚäÕÑ ÇáÇæá (Çáãßæä)
æåæ áãÇÐÇ äÍä äåÊã ÇáãÔßáÉ¿ ãÇ ÇáÝÌæÉ ÇáÚãáíÉ æÇáÚáãíÉ æÇáäÙÑíÉ Ãæ ÝäíÉ ÇáÐí ÊÓÏåÇ ÇáÈÍæË ÇáÎÇÕÉ Èß¿
æåÐí ÇÓãíåÇ ÚÑÖ ÇáãÔßáå Çæ ÇáÏÇÝÚ æÑÇ ÍáåÇ
1) Motivation/problem statement: Why do we care about the problem? What practical, scientific, theoretical or artistic gap is your research filling?
2-ÇáÚäÕÑ ÇáËÇäí(ÇáÃÓÇáíÈ Ãæ ÇáãäåÌ)
Ôäæ ÇáÎØæÇÊ Çááí ÇäÊ ÇÊÈÚÊåÇ Ýí Íá ÇáãÔßáå
æåÐí ÇÞÏÑ ÇÓãíåÇ ÇáÇÓÇáíÈ Çæ ÇáãäåÌ
2) Methods/procedure/approach: What did you actually do to get your results?
(e.g. analyzed 3 novels, completed a series of 5 oil paintings, interviewed 17 students)
3- ÇáÚäÕÑ ÇáËÇáË
ãÇ åí ÇáäÊÇÆÌ Çæ ãÇÐÇ ÇÓÊÝÏäÇ Çæ ÊÚáãäÇ ãä ÈÍËäÇ
æäÓãíå äÊíÌÉ ÇáÈÍË
3) Results/findings/product: As a result of completing the above procedure, what did you learn/invent/create?
4-ÇáÚäÕÑ ÇáÇÎíÑ
äÍÏÏ Çåã äÊÇÆÌ ÇáãÊÑÊÈå Úáì ÈÍËäÇ æÈÇáÐÇÊ ÇáãÊÚáÞå ÈÇáãÔßáå ÇáãÍÏÏå Çæ ÈÇáÝÌæå ÇáãæÌæÏå ÈÇáÎØæå ÇáÇæáì
æäÓãíåÇ ÇáÎÇÊãå
4) Conclusion/implications: What are the larger implications of your findings, especially for the problem/gap identified in step 1?
Úáíß Çäß ÊÊÌäÈ ÚäÏ æÖÚ ÇáÎáÇÕÉ ßÐÇ äÞØÉ
You must avoided when writing an ABSTRACT:
1- Çä ÊåÊã ÈÇáãÞÏãÉ æÊÊÑß ÇáäÊíÌå
! You give what is really an introduction, missing out what the results were
2-Çäß ÊÞÚÏ ÊÞæá ßá Ôæí æÔ ÑÇÍ ÊÓæí Çæ Ôäæ ÇáÎØæÉ ÇáÌÇíå Çæ Ôäæ ÓæíÊ æåßÐÇ
! You tell us what each section of the write-up is going to talk about (e.g. 'In the third
section we will describe the method'), not briefly what you did (e.g. 'The method we
used was...')
3-åäÇ íÌÈ Úáíß Çäß ãÇ ÊÊßáã ÈÕíÛÉ ÇáãÊßáã ãËá äÍä ÝÚáäÇ Çæ ÇäÇ ÓÇÝÚá
! You include wording that refers forward like ‘… as we shall see…’. Again it is not
an introduction. It should read as referring back to the whole completed project
- ãÊì ÇÍßã Úáì ÇáÎáÇÕÉ ÈÇäåÇ ÖÚíÝå >An abstract could be described as poor one if
1-áãÇ ãÇÊßæä ßÇãáå
-a.It is incomplete.
2-ãÇ ÊÞÏã áí ÊÝÇÕíá
- b.It doesn’t provide enough details.
3-ãÇ ÊÔÏ ÇäÊÈÇå ÇáÞÇÑÆ áåÇ
- c.It does not grab the attention of the reader.
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æ ÐßÑ áäÇ ÃãËáÉ Ú ÇáÎáÇÕÉ ÇáÌíÏÉ æ ÇáÎáÇÕÉ ÇáÛíÑ ÌíÏÉ
ÅÑÌÚæÇ á ÇáÃãËáÉ Ý ÇáãÍÊæì
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ÇäÊåÊ ÇáãÍÇÖÑÉ ÇáËÇáËÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:53 PM
ÇáãÍÇÖÑå ÇáÑÇÈÚå
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How to choose a topic?
ßíÝ ÊÎÊÇÑ ÇáãæÖæÚ ¿
-íÌÈ Çä íÈíä ÇáÈÍË
Research should demonstrate:
ÔÛáÊíä
1- ÇáãåÇÑå ÇáÈÍËíÉ ÇáæÇÓÚå Ýí ÇáãÌÇáÇÊ ÐÇÊ ÇáÕáå
a.Research expertise in the relevant field.
2- æÇä íßæä ÇáÈÍË Úáì ãÓÊæì ãäÇÓÈ ãä ÇáÃÕÇáå
b.An appropriate level of originality.
Originality ÇáÇÕÇáÉ
ÇáÇÕÇáå ÊÚäí Çä íßñæä ãæÖæÚ ÇáÈÍË ÌÏíÏ áã íÈÍË Èå ÇÍÏ ÞÈáß æ áÇ íÚäí Ðáß ÎáÞ ßáãÇÊ ÌÏíÏå
Çæ ÊÛíÑ ÇáßáãÇÊ ..ÝÈÚÖ ÇáÇÍíÇä ÇáÇÕÇáå Êßæä ãä ÎáÇá ÇíÌÇÏ ØÑÞ ãÎÊáÝÉ ááÞíÇã ÈÇáÈÍË
new ways .. means a little different from another
æáÊÍÞíÞ Ðáß ÐßÑ ØÑíÞÊíä
To achieve the above mentioned demonstration, there are 2ways like…..
1- ÈæÇÓØÉ ÞØÚÉ ãä ÇáÚãá ÇáÐí íØÈÞ ÇáÃÝßÇÑ ÇáÞÇÆãÉ (ãËá ÇáäÊÇÆÌ æÇáäÙÑíÇÊ æÇáÃÓÇáíÈ ÇáÈÍËíÉ ÇáÓÇÈÞÉ)
Åáì äØÇÞ ÌÏíÏ (Úáì ÓÈíá ÇáãËÇá íÞÏã ÊÍáíáÇ ÇáãÎÊÕ ÇáÈíÇäÇÊ ÇáÌÏíÏÉ ãä ÍíË äÙÑíÉ Ãæ ÇáäåÌ ÇáÍÇáí).
a.By a piece of work which applies existing ideas (e.g. previous findings, theories, research methods) to a new domain
(e.g. provides a competent analysis of new data in terms of an existing theory or approach).
2- ÈæÇÓØÉ ÞØÚÉ ÇáÚãá ÇáÊí ÊÞÊÑÍ ÊÞÑíÑ ÌÏíÏ æãËíÑ ááÇåÊãÇã (ÑÈãÇ äÙÑíÉ ÌÏíÏÉ) ãä ÇáÈíÇäÇÊ ÇáãæÌæÏÉ
b.By a piece of work which proposes a new and interesting account (maybe a new theory)
of existing data< The highest attainable level of originality would be to propose a novel theoretical account of novel data
^^ means .. try to find something novel ( something very very new ) No one research that before íÚäí Çä ÊÌÏ ØÑíÞå ÌÏíÏå áã íÓÈÞß áåÇ ÃÍÏ !!
ÇÐÇ ßäÊ ÊÑíÏ ÇÎÊíÇÑ ãæÖæÚ Úáíß ÇáäÙÑ Ýí ÈÍæËÇÊ ÓÇÈÞå ÇäÙÑ Çáì Çíä ÊæÞÝÊ Êáß ÇáÈÍæË ÝÇä Ðáß
ÓíÚØíß ÝßÑå
ááÇÓÊãÑÇÑ .....
if you want choose a topic go to previous research
see where that research stopped and continue from that research.
åäÇß ÔÑæØ íÌñÈ Çä ÊÊæÝÑ ÇËäÇÁ ÇÎÊíÇÑß ááãæÖæÚ ... ÞÓãåÇ ÇáÏß澄 á3
- ÇÎÊíÇÑß ááãæÖæÚ íÌÈ Çä íßæä ãËíÑ æãÍÝÒ ááÝÖæá ÇáÝßÑí ÚäÏß .æíÍñÇÝÙ Úáì ÇåÊãÇãß ØæÇá ÝÊÑÉ ÇáÚãá Èå
- The topic should be one which excites and stimulates your intellectual curiosity, and which is going to retain
your interest throughout the period you work on it.
- Çä íßñæä áå Õáå ãÈÇÔÑå ÈØãæÍÇÊß Çáãåäíå ÇáãÓÊÞÈáíå .. íÚñäí ãÇÊæÏ Çä Êßæä Úáíå ÈÇáãÓÊÞÈá .
Ãæ ÃåãíÊå ÎÇÕÉ Ýí ÇáÓíÇñÞ ÍíËñ íãßäß ÇáÚãá ÈÔßá ØÈíÚñí(ÎÇÕÉ ÅÐÇ ßäÊ ãÚáãÇ
- It may also be a topic which has some direct relevance to your future career aspirations, or special
importance in the context where you normally work.
- íÌÈ Çä íßæä ÇáãæÖæÚ íÔñÚÑß ÔÎÕíÇ ÈÇáËÞÉ æÇáÞÏÑÉ Úáì ÇËÞÇä ÇáÚãá Öãä ÇáæÞÊ ÇáãÊÇÍ ááÈÍË ÇáÎÇÕ
Èß áÐáß ãä Çáãåã Çä áÇ íßæä æÇÓÚ ÇáäØÇÞ ÇÎÊíÇÑ ãæÖæÚß ..Çí ÇÎÊÇñÑ ãæÖæÚ ãÍÏæÏ
- The topic should be one which you personally feel confident that you are able to master within the time available
for your research. it is important not to be too wide-ranging in your choice of topic
åäÇß ÚÏÉ ÇÓÈÇÈ æÑÇÁ ÇÎÊíÇñÑß ãæÖæÚ ÛíÑ æÇÓÚ ÇáäØÇÞ (ãÍÏæÏ)
1-ÇáÈÍæË ÇáÇÏÈíå ÇáÞÇÆãå Êäãæ ÈæÊíÑñÉ ÓÑíÚñÉ áã íÚñÏ ãä Çáããßä ãæÇßÈÊ ÇáÇÏÈ Ýí ÍÞá ÇæÓÚ áÐÇ ÊÖíÞ ãæÖæÚ ÈÍËß íÞáá ãä ÍÇÌÊß ááÞÑÇÁÉ æåÐÇ íÓåá Úáíß ßËíÑÇ
the existing research literature is growing at
such a rapid pace that it is no longer possible to keep up with the whole of
the literature in a broad field, so that narrowing down your research topic
reduces your background reading too much more manageable proportions
2 ßáãÇ ßÇä ÇáãæÖÚ ÇáÐí ÊÎÊÇÑå ÇæÓÚ äØÇÞÇ æÃßËÑ ÇäÝÊÇÍÇ ßáãÇ Þá ÇÍÊãÇá Çä íÊã ÇäåÇÁå Ýí ÇáæÞÊ ÇáãÍÏÏ æÊÖÚ äÝÓß ÊÍÊ ÖÛæØ ãÇáíå æÚÇØÝíå æÝßÑíå áÇ áÒæã áåÇ
the broader the topic you choose, the more open-ended your
research becomes - and the less likely it is that you will complete it on
time (so putting yourself under unnecessary financial, emotional and
intellectual pressure).
æÌåÉ äÙÑ ..
ãæÖæÚ ÇßÊÓÇÈ áÛÉ ËÇäíå ãæÖæÚ æÇÓÚ ÌÏÇ æÞÇÈá ááÇÓÊãÑÇÑ Úáì ÚßÓ ÇÎÊíÇñÑß áãæÖæÚ ÏÑÇÓÉ ÍÇáÉ ÊØæ Ññ ÇáÖãÇÆÑ ÇáÔÎÕíå
æÇáÞæÇÚÏ áØÝá ÈáÛ ãä ÇáÚãÑ ÓäÊíäñ Óíßñæä ÇßËÑ ãÍÏæÏíÉ æÃÓåá Ýí ÇáÊÍßã æÇáÇÏÇÑå
‘Language Acquisition by Bilinguals' is far too
broad to be viable as a research topic; by contrast ‘A case study of the
development of personal pronouns in the grammar of a two-year old
bilingual child' is a much more restricted and hence more manageable
research topic.
Introduction chapter
¿what the topic is, in brief
You start telling us a lot of detail about the method and your results at this point !
Detailed research questions and hypotheses… premature to give them here !
Ãí ÚÈÇÑÉ ÇãÇãåÇ ÚáÇãÉ ÊÚÌÈ ÎÇØÆÉ
× 2æÇáäÊÇÆÌ ÇáÎÇÕÉ Ãä ÊÈÏà ÈÍËß ÈÇáßËíÑñ ãä ÇáÊÝÇÕíá Íæá ÇáÇÓáæÈ ..× .. Çä ÊÈÏÃå ÈÇÓÆáå ÈÍËíå æÝÑÖíÇñÊ
In Introduction chapter:
1- Tell the reader about the topic
2- after telling the reader what the topic is, you move on to Reasons for doing the work, e.g
3- Present the research as having wider implications
4- outline of what will come in the chapters/sections that follow comes at The end
5- importance as a research topic in itself, in the context of current knowledge in the relevant field
6- You can give brief definitions of some key terms to be used later
.
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ÇäÊåÊ ÇáãÍÇÖÑÉ ÇáÑÇÈÚÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:55 PM
ÇáãÍÇÖÑå ÇáÎÇãÓÉ
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ÇÐÇ ÃÏíÊ ÈÍËß ÈÃÝßÇÑß ÇáÎÇÕå æÈßáãÇÊß ÇäÊ
ÍíäåÇ äÞæá Çäß ÃäÊ ãä ÇáÝÊ ÇáÈÍË æåÐÇ íÓãì ÊÃáíÝ
If you do your research out of your ideas out of your own words from your knowledge
then you are the Author of the research # Authorship
Çí ...
the Reference of any production and ownership of ideas and intellectual material,
such as books, articles, images is called) ( Authorship)
ÇãÇ ÇÐÇ ÐåÈÊ æäÓÎÊ ÇÝßÇÑ æßáÇã ÛíÑß ãä ÛíÑ ãÇÊäÓÈå áÇÕÍÇÈå
ææÖÚÊå Ýí ÈÍËß ÇáÎÇÕ Èß ÍíäåÇ íÓãì ÓÑÞå ÃÏÈíå
If you go and copy others words or ideas then put it in your research without mention his or her name
.. this is call Plagiarism.
Ãí...
'Using or copying the work of others (whether written, printed or in any other form) without proper acknowledgement'
is called # Plagiarism
ÚäÏ ÇÓÊÎÏÇã Çæ äÓÎ ÇÝßÇÑ ÇáÛíÑ æÇÚãÇáåã íÌí Úáíß äÓÈå áãÄáÝå ÚÔÇä ãÇÊÏÎá Ýí ÏÇÆÑÉ ÇáÓÑÞå ÇáÇÏÈíå
When using or copying the work of others you must refer it to the Authorship
æÇáäÓÎ Çæ ÇÓÊÎÏÇã Úãá ÇáÛíÑ íßæä ÈØÑíÞÊíä
1-ÇãÇ Úä ØÑíÞ ÇáÇÞÊÈÇÓ æÇäÓÈå áÕÇÍÈå æÝí åÐí ÇáÍÇáå ÇÓãíå Quote
2- Çæ Úä ØÑíÞ ÇÚÇÏÉ ÕíÇÛÉ ÇáäÕ ÈÇÓáæÈí ÇáÎÇÕ æÝí åÐí ÇáÍÇáå ÇÓãíå Paraphrase
æÇáÍÇáÊíä åÐí ÇÓãíåÇ
ÇáÇÞÊÈÇÓ æÇáãÑÌÚíå a citation and reference
æÊÚÑíÝåÇ ßÇáÊÇáí:
a citation and reference: A piece of work that is referenced to
the Authorship by (quote it or paraphrase it)
æáãÇ ÇäÇ ÇäÓÈ ÇáÚãá áÇÕÍÇÈå ÈÇí ØÑíÞå ãä Çááí ÐßÑäÇåÇ ÝåÐÇ ÇÚÊÑÇÝ ãäí
ÈÇä ÇáÚãá Çæ ÇáßáÇã Çááí ÇÎÐÊå íÎÕ ÔÎÕ ãÚíä æáíÓ áí
æÇáÇÚÊÑÇÝ åÐÇ íÍÊæí Úáì ÞÇÆãÉ ÈÇáÚäÇÕÑ æÇáãÚáæãÇÊ Çááí ÇÓÊÎÏãÊåÇ Ýí ÈÍËí
æÈßÐÇ íßæä ÊÚÑíÝå ßÇáÊÇáí:
-1- Acknowledgement: Recognition that work has been the product of the work of another identified person .
-2- Acknowledgement: A list of material that provides further information on the present work.
åäÇ ÈÚÖ ÇáÊÚÑíÝÇÊ Çáãåãå:
Citation:ÇáÊäæíå>The process of acknowledging or attributing an idea/quotation to another
by providing information about the source of the other work.
æåÐÇ íÚäí Çäí ÇÞÑ Çæ ÇäÓÈ ÇáÝßÑå áãÕÏÑåÇ
Quotation << ÇáÇÞÊÈÇÓ
æåí Çäß ÊÇÎÐ ÇáßáãÇÊ äÝÓåÇ ãä ãÕÏÑåÇ æÊÖÚåÇ Èíä ÚáÇãÇÊ ÇáÇÞÊÈÇÓ
you take the words Exactly from the source and then put them into Quotations mark.
Quote << ÚäÏãÇ ÇÔíÑ Çáì ßáÇã Þíá ãä ÞÈá ÔÎÕ ÇÎÑ ÝåÐÇ ÇÓãíå
To refer to (part of) a speech that has been made by someone else.
paraphrase :ÇÚÇÏÉ ÇáÕíÇÛå
ÈãÚäì ÇäÞá ÇáßáÇã æÇáãÚäì ÈÇÓáæÈí ÇáÎÇÕ
áßä ãÚ ÇáÇáÊÒÇã Ýí äÝÓ ÇáæÞÊ ÈäÓÈå áãÄáÝå
You have the meaning of the idea and then you retell the idea in your own words.
But still you need to refer to the original author .
åäÇ äáÇÍÙ ÇáÝÑÞ Èíä Quotation æ paraphrase
Paraphrase ääÞá ÇáÝßÑå æÇáßáÇã ÈßáãÇÊäÇ æÈÇÓáæÈäÇ íÚäí ÈßáãÇÊ ãÎÊáÝå ÈÓ äÝÓ ÇáãÚäì
Quotation åäÇ ääÞá ÇáßáÇã ÈÇáÖÈØ ÈäÝÓ ÇáØÑíÞå Çááí ÞÇáåÇ ÇáãÄáÝ ãÚ æÖÚåÇ Èíä ÞæÓíä
Types of plagiarismÇäæÇÚ ÇáÓÑÞå ÇáÇÏÈíå>
a- Copy someone else's work as if it were your own
b- Copy sections of someone else's work but change the odd word or phrase
c- Submit the same piece of work for two different assignments, even if they are to different departments
d- Submit written work produced collaboratively, unless this is specifically allowed
e- Copy the work of another student, even if they have consented
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ÇäÊåÊ ÇáãÍÇÖÑÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:56 PM
ÇáãÍÇÖÑå ÇáÓÇÏÓÉ
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Literature review :
æåÐí äáÞÇåÇ Ýí:
It's 2nd chapter or section in your research.
Ýí åÐí ÇáãÑÍáÉ literature review
ÇÑÇÌÚ ÇáÇÈÍÇË ÇáÓÇÈÞå æÇäÊÞÏåÇ æäÇÞÔ äÊÇÆÌåã æÈÚÏ Ðáß ÇæÖÍ ÇáÇÑÊÈÇØ Èíä åÐí ÇáÇÈÍÇË æÈÍËí
(1) you review previous research
(2) criticize the methods they used
(3) and then you tell us the connections between the previous studies and your research
^ ^
åÐí ÊÚÊÈÑ ÇáÎáÇÕå áÜ Literature review
ÇÐÇ ãÇßÇäÊ ÝíåÇ ãÇíßæä áåÇ Çí Çåãíå Rubbish
ãÑÇÌÚÊí æäÞÏí ááÃÈÍÇË ÇáÓÇÈÞÉ Ýí äÝÓ ÇáãÌÇá ÇáÚÇã ÊÔãá
ÃæÌå ÇáÞÕæÑ Ýí ÇáÃÓÇáíÈ ÇáãÓÊÎÏãå
ÇáÍÌÌ ÇáãÓÊÎÏãÉ ÓÇÈÞÇ
ãÌÇáÇÊ ÌÏíÏÉÇÞÊÑÍ ÇáäÙÑ áåÇ ãä ÇáäÊÇÆÌ ÇáÓÇÈÞÉ
review and critique of previous research in the same general area include
shortcomings of methods
argumentation previously used
new areas to look at suggested by previous results
A good Literature review should be < a third of the write-up
íæÌÏ ÎØæÇÊ íÌÈ ÊÌäÈåÇ Ýí Literature review
1- ãÇÊÎáíåÇ æÇÓÚÉ ÇáäØÇÞ
2- ãÇ ÊÞæá Úä ÇáÇÈÍÇË ÇäåÇ ãåãå æåí ÈÇáÇÓÇÓ ãÇ áåÇ Çí ÚáÇÞå ÈÈÍËß
3- áÇÊÍØ ÇáäÊÇÆÌ ÇáäåÇÆíå ÝíåÇ
1- Too broad
2- report previous work as ‘important’ when actually it has no relevance to your own research.
3- mention the results of your own later research in your review
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ÇäÊåÊ ÇáãÍÇÖÑÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:57 PM
ÇáãÍÇÖÑÉ ÇáÓÇÈÚÉ
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ÃÕÈÍ áÏíß ÝßÑå ÌíÏå ÚÔÇä ÊÓæí ÈÍË
Ôäæ ÇáÚäÇÕÑ Çááí ÇäÊ ÊÍÊÇÌåÇ ÚÔÇä ÊÕãã áß ÈÍË¿
ÚäÇÕÑ ÊÕãíã ÇáÈÍË:
ÇÎÊíÇÑ. ÚíäÉ
ãÞÇÑäÉ ãÌãæÚÇÊ ÇáãÑÇÞÈÉ /
æÇÍÏ ãÞÇÈá ÇáæÞÊ æÝí ßËíÑ ãä ÇáÃÍíÇä
ÇáÍÏ ãä ÇáÊÝäíÏ æÇáÊÍíÒ
Ã) ÇáãÊÛíÑÇÊ æÊÚÇÑíÝ ÇáÊÔÛíáíÉ
È) ÊÍæá ÓÄÇá ÇáÈÍË ÇáÎÇÕ Èß Åáì ÝÑÖíÉ ÇáÈÍË
1. Sample selection
2. Comparison/control groups
3. One time versus Many times
4. Reducing Confounding and Bias
a) Variables and Operational Definitions
b) Turning your research question into a research hypothesis
äÊßáã Úä Ãæá ÚäÕÑ æåæ
ÇáÚíäå Sample
ÈÚÏ ãÇ ÍÕáäÇ Úáì ÝßÑå ÌíÏå ÚÔÇä ÇÓæí áí ÈÍË íÌí ÈÚÏåÇ ÇÍÏÏ áí Úíäå
after having the good idea ( topic ) you have to choose the- Sample determination- of your Research Design.
æÇáÚíäå åÐí ããßä Êßæä ÇäÓÇä Çæ ÍíæÇä Çæ äÈÇÊ
The sample of your research can be - Any sample of anything - (Depends on the type of search)
æÇÐÇ ßÇäÊ ÇáÚíäå ÊÊßáã Úä ÇáäÇÓ ÈÇáÚãæã åäÇ ãÇ íåã ãäæ ÇáÚíäå
If it is about people in general, then it- Doesn’t matter who you sample
áßä áæ ÍÏÏ áß äæÚ Çæ ÝÆÉ ãÚíäå ÚãÑíå Çæ ÌäÓ ãÍÏÏ Çæ æÙíÝå åäÇ Úáíß Çäß ÊÚÑÝ ÈÇáÚíäå ÍÞÊß
If the research is about a particular type of person (, age group, culture, sex/gender, clinical group, occupation),
then you have to#Refine your sample
ãÑÍáÉ ÅÏÑÇÌ æÇÓÊÈÚÇÏ ÇáãÚÇííÑ ÇáãÍÏÏÉ
Çæá ÎØæå
- ÊÍÏÏ ÓÈÈ ÇÏÑÇÌß æÇÎÊíÇÑß áåÐå ÇáÚíäå æÔäæ ÇáÓÈÈ Çááí ÎáÇß ÊÓÊÈÚÏ ÛíÑåÇ ÈÈÍËß
- ËÇäí ÎØæå ÖÑæÑí Çäß ÊÖíÝ åÇáãÚáæãå ÈÈÍËß
Inclusion and Exclusion Criteria specified
- you need to specify why you are included the sample and why you excluded the others !!?
- you have and you must mention this in your research
ÈÚÏ ãÇ ÇÎÊÑäÇ ÇáÚíäå äÌí áÊäÓíÞ ÇáÈíÇäÇÊ
After you choose the sample of your research you need to do the # Data Format
íæÌÏ ÇäæÇÚ ãÎÊáÝå ãä ÊäÓíÞ ÇáÈíÇäÇÊ
there is many different kind of data format
a- Questionnaire ÇÓÊÈíÇä --
b- Interview ãÞÇÈáå --
c- Retrospective chart reviews ÇÓÊÚÑÇÖ ÇáÑÓã ÇáÈíÇäí ------- áã íÔÑÍåÇ ÇáÏßÊæÑ
d- Continuous versus categorical data
# ÊäÓíÞ ÇáÈíÇäÇÊ íÄËÑ Úáì ÇáÇÍÕÇÆíÇÊ æÇáÇÓÇáíÈ Çááí ÇäÊ ÇÓÊÎÏãÊåÇ Ýí ÈÍËß
Data format
affects statistics/interpretive methods you use
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ÇäÊåÊ ÇáãÍÇÖÑÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:58 PM
ÇáãÍÇÖÑå ÇáËÇãäÉ
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comparison (experimental) / control groups
ÇáãÞÇÑäÉ (ÇáÊÌÑíÈíÉ) / ãÌãæÚÇÊ ÇáãÑÇÞÈÉ
Treatment = ÇáØÑíÞå Çæ ÇáæÓíáå Çááí ÊÓÊÎÏãåÇ Ýí ÏÑÇÓÊß Çæ ÈÍËß
- Experimental group : you gave them new treatment .
- Control group : this group has no treatment .
** Usually in experimental design you have 2 groups :
ÇáÊÕãíã ÇáÊÌÑíÈí ÈÇáÚÇÏå íÍÊæí Úáì ãÌãæÚÊíä æåã:
Between Groups Designs & Within Group Designs
Compare one group to another group ,
we called it - Between Groups Designs - and all the groups need to be similar
Compare one group to itself over time ,
we called it - Within Group Designs - and the treatment will be repeated to the this one group .
íæÌÏ äæÚ ãä ÇäæÇÚ ÇáÈÍË ÇáÏÑÇÓå Ýíå áÇ ÊÍÊÇÌ Çáì ãÌãæÚÇÊ ãÞÇÑäå
The type of Research the studies do not use comparison groups # qualitative/descriptive
** they just describe…really well
____________________
One time vs. over time research
1.Cross-sectional method :
Same group of people are observed at
one point in time
2.Longitudinal method:
Same group of people are observed at
different points in time
as they grow older
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ÇäÊåÊ ÇáãÍÇÖÑÉ
ÃÈæ ÞÕí
2017- 2- 15, 10:59 PM
ÇáãÍÇÖÑÉ ÇáÊÇÓÚÉ
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.Ýí ßá ÈÍË íæÌÏ ÚäÏäÇ ãÇíÓãì ÈÇáãÊÛíÑ æåæ Çááí äÈí äÌÑÈå Çæ äÞíÓå
In each research there is something called variable that's we want to test or measure it
1. Independent variable : variable that is manipulated by the researcher
(or the variable that is thought to affect the outcome/dependent variable)
ÇáãÊÛíÑ ÇáÐí íÊã ÇáÊáÇÚÈ Èå ãä ÞÈá ÇáÈÇÍË
Computers and their effects on student's achievement. The Independent variable is # Computers
2. Dependent variable : variable that is measured to assess the effects of the independent variable
ÇáãÊÛíÑ ÇáÊÇÈÚ: ÇáãÊÛíÑ ÇáÐí íÊã ÞíÇÓå áÊÞííã ÇáÂËÇÑ ÇáãÊÑÊÈÉ Úáì ÇáãÊÛíÑ ÇáãÓÊÞá
Why we can’t manipulate the variable In a dependent variable. áãÇÐÇ áÇ äÓÊØíÚ ÇáÊÚÇãá ãÚ ÇáãÊÛíÑ Ýí ÇáãÊÛíÑ ÇáÊÇÈÚ.
Because we want to measure the effect of the independent variable.
3. “Operational definition” : procedure for measuring and defining a construct
ÊÚÑíÝ ÇáÊÔÛíáí": ÅÌÑÇÁÇÊ áÞíÇÓ æÊÍÏíÏ ÇáÈäÇÁ
Research Hypothesis# RH: Question is previously answered by different research
ÓÄÇá ÃÌíÈ Úáíå ãä ÞÈá Ýí ÈÍæË ãÎÊáÝÉ
Research Hypothesis came from# Literature Review.(previous research)
A hypothesis is # a statement that describes or explains a relationship among variables
A hypothesis It is# a prediction that is derived from your research question.
A research question # Rh: is the question that You ask through your research
A research question # Rh: Question is something not answered before.
a prediction is# derived from your research question
don't choose samples cause you like them or they are only around you << that's called bias.ÇáÊÍíÒ >
ÃÈæ ÞÕí
2017- 2- 15, 11:00 PM
ÇáãÍÇÖÑÉ ÇáÚÇÔÑÉ
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two important criteria in selecting you text :
ÚäÏí ÚäÕÑíä ãåãå Ýí ÇáÞØÚå æåãÇ:
1| word difficulty 2| length of text
Ôáæä ÇÞÏÑ ÇÞíÓ Øæá ÇáÞØÚå¿
How we can measure the length of text ?
Úä ØÑíÞ ÚÏ ÇáßáãÇÊ Çááí íÍÊæíåÇ ÇáäÕ
By count the words, how many words are there in this piece of text.
ÑÇÍ ÊæÇÌåäí ãÔßáå áãÇ ÇÌí ÇÚÏ ÇáßáãÇÊ Ýí ÇáÞØÚå ãËáÇ ããßä ÇÚÊÈÑ
Long, longer – go ,goes
äÝÓ ÇáßáãÇÊ ãÊÔÇÈåå ÝÇÚÏåã ãÚ ÈÚÖ ÈÓ áæ íÌíäí ÇáÝÚá
Go,went
áåã äÝÓ ÇáãÚäì ÈÓ íÎÊáÝæä ÈÇáÒãä Ýåá åäÇ ÑÇÍ ÇÚÏåã ãÚ ÈÚÖ ßßáãÇÊ ãÊÔÇÈåå æÇáÇ áÇ¿
ÚÔÇä ßÐÇ íÌÈ Çäå íßæä ÚäÏí ÊÚÑíÝ ááßáãå æÚáì ÇÓÇÓå ÇÈÏà ÇÚÏ ÇáßáãÇÊ ÚÔÇä ÇÚÑÝ Øæá ÇáäÕ
what a word is ?!!
based on this definition we can count word
there is something on count word called type – token
ãËáÇ áÞíäÇ ßáãÉ
Longe
ãßÑÑå Ýí ÇáÞØÚå ÎãÓ ãÑÇÊ
ÑÇÍ íßæä Çáßáãå Çááí ÇäÇ ÞãÊ ÈÚÏåÇ ÊÓãì
Type
æÚÏÏ ÇáãÑÇÊ Çááí ÊßÑÑÊ ÝíåÇ
Token: The number of repetition of the same type
Token: The number of reoccurrence of the same word
ÇÐÇ ßäÊ ãÏÑÓ æãåÊã ÈÇä ÊÚÑÝ ÚãÞ ãÚáæãÇÊ ØáÇÈß ÝÑÇÍ ÊåÊã ÈÇá Types
áÇäå ãÇíåãß ßã ãÑå ßÑÑæÇ äÝÓ Çáßáãå
#If you are concern with the Quality of the writing or Quality of speech of your students
and you want to see how many defferent words you concern with #types
T units:
Çááí ÇÎÐæÇ ãÇÏÉ ÇáÞæÇÚÏ æÇáãäÙæãå ÇáäÍæíå ãÚ Çááå íÐßÑå ÈÇáÎíÑ ÇáÏß澄 ÇáÓíÏ ÑÇÍ Çä ÔÇÁÇááå íÝåã åÇáÝÞÑå
ÚäÏí
1Main clause: ( also known as an independent clause ) is a clause that can stand alone as a
complete sentence.
íÚäí ÌãáÉ ããßä ÇäåÇ ÊæÌÏ ÈÑæÍåÇ æÇÝåã ãÚäÇåÇ æÊÚÊÈÑ ÌãáÉ ßÇãáå
æÚßÓåÇ
-2a dependent clause : ( also known as Subordinate clause) is a clause that cannot stand
alone as a complete sentence
ÌãáÉ ÈæÌæÏåÇ ÈÑæÍåÇ ãÇíßæä áåÇ Çí ãÚäì
-3Coordination
ÊÚäí ÑÈØ
äÌí äÔÑÍ Ôäæ Çá T units
åí ÚÈÇÑå Úä ÌãáÉ ÇãÇ íßæä ÝíåÇ
Main clause æ a dependent clause
ãËÇá ÚáíåÇ
When I got home, the new TV I ordered yesterday was on the doorstep
Çæ íßæä ÝíåÇ
Coordination
æãËÇá ÚáíåÇ
-1John got up and left the room
-2John got up and Mary left the room
åäÇ ÇÐÇ ÚäÏäÇ äÕ ÕÚÈ ããßä äÓÊÎÏã
t-unit
Ýí ÇáÞíÇÓ ÈÏáÇ ãä ÇáßáãÇÊ
We can use t-unit to Measure difficulty of the text
æÇÎíÑÇ ÊÕäíÝ ÇáÇÎØÇÁ
Errors
ããßä Êßæä ÇÎØÇÁ äÍæíÉ
Grammar errors
Çæ ããßä ÇÎØÇÁ Ýí ÇáßÊÇÈå
Vocab errors
Çæ ÇÎØÇÁ ÔÇÆÚå ãä ÇááÛÉ ÇáÇã
L1-induced errors
ÃÈæ ÞÕí
2017- 2- 15, 11:01 PM
ÇáãÍÇÖÑÉ ÇáÍÇÏíÉ ÚÔÑ
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åÐí ãä ãáÝ ÓæíÑÇä áãÇ ØÇÈÞÊåÇ ãÚ ßáÇã ÇáÏß澄 ØáÚÊ ßÇÊÈå ßá ßáãå æÇÖÇÝå ÞÇíáå ÈåÇáãÍÇÖÑå ÝÊÑÌãÊåÇ áßã ãÚ ÇÖÇÝÇÊ ÈÓíØå ãä ÚäÏí
We use questionnaires in research as # a tool to collect data
the types of Questionnaires:
ÃäæÇÚ ÇáÇÓÊÈíÇäÇÊ
1-
the grammaticality judgment task
You gave a task to your student ( or participant ) then you ask them to judge whether
this is grammatically correct sentence or not >> and from this task you will know if your student learn the grammar well or not.
Ãä ÊÚØí ãåãÉ áØÇáÈ (Ãæ ãÔÇÑß) Ëã ÊØáÈ ãäåã ÇáÍßã Úáì ãÇ ÅÐÇ ßÇäÊ åÐå ÇáÌãáÉ ÇáÕÍíÍÉ äÍæíÇ Ãæ áÇ >> æãä åÐå ÇáãåãÉ ÓæÝ ÊÚÑÝ ÅÐÇ ØÇáÈß ÊÚáã ÞæÇÚÏ ÇááÛÉ ÈÔßá ÌíÏ Ãã áÇ.
2- think aloud
ask the participant to speak aloud about any idea that comes to his mind.
ÇØáÈ ãä ÇáãÔÇÑß Ãä íÊßáã ÈÕæÊ ÚÇá Íæá Ãí ÝßÑÉ ÊÊÈÇÏÑ Çáì Ðåäå.
3- immediate retrospective reporting after a task
It's some kind of interviews .. after you finish your Questionnaires (or task or test ) you set with participant
and then start to ask them about what they did >> just to make sure that you are getting all information you want.
ÇäåÇ äæÚ ãä ÇáãÞÇÈáÇÊ .. ÈÚÏ ÇáÇäÊåÇÁ ãä ÇáÇÓÊÈíÇäÇÊ ÇáÎÇÕÉ Èß (Ãæ ãåãÉ Ãæ ÇÎÊÈÇÑ) ÇÌáÓ ãÚ ãÌãæÚÉ ÇáãÔÇÑßíä
æãä Ëã ÇÈÏà Ýí ÓÄÇáåã Úä ãÇ ÝÚáæå >> ÝÞØ ááÊÃßÏ ãä Ãäß ÞÏ ÍÕáÊ Úáì ÌãíÚ ÇáãÚáæãÇÊ ÇáÊí ÊÑíÏåÇ.
4- open interviews
- I set with you just talking , asking each other Q and then I will get information
äÌáÓ ÇäÇ æÇäÊ ÝÞØ áäÊÍÏË æäÓÃá ÈÚÖäÇ ÃÓÇáå ÝäÍÕá Úáì ÇáãÚáæãÇÊ
- in open interviews you don't have a set of Q
Ýí ÇáãÞÇÈáÇÊ ÇáãÝÊæÍå áÇ íæÌÏ ãÚß ãÌãæÚå ãä ÇáÇÓÆáå
5- diary type of reports to
You go to your student ( or participant ) and ask them to write
every what they did during a period of time .
ÊÐåÈ Åáì ÇáØÇáÈ (Ãæ ãÔÇÑß) æäØáÈ ãäåã Ãä íßÊÈ ßá ãÇ ÝÚáæå ÎáÇá ÝÊÑÉ ãä ÇáÒãä.
6- structured interviews & Simi structured interviews
Structure interview :
you have a list of questions may be (5,7,10) and you want the answer of them and that's it .
you set with people you want to ask and read the Q
áÏíß ÞÇÆãÉ ãä ÇáÃÓÆáÉ ÞÏ Êßæä (5¡7¡10) æÊÑíÏ ÇáÅÌÇÈÉ ãäåã¡ æåÐÇ ßá ÔíÁ.
ãÚ ÇáäÇÓ ÇáÐíä ÊÑíÏ Ãä ÊÓÃáåã æÊÞÑà Úáíåã ÇáÃÓÆáÉ ÊÌáÓ
Semi structured interview :
you have some questions but when you do the interview you can ask the interviewer more questions
áÏíß ÈÚÖ ÇáÃÓÆáÉ æáßä ÚäÏãÇ ÊÞÏã ÇáãÞÇÈáÉ íãßäß Ãä ÊÓÃá ÇáãÐíÚ ÇáãÒíÏ ãä ÇáÃÓÆáÉ
7- closed questionnaires
They (participant) need just to circle some answers and that's it.
(ÇáãÔÇÑßæä) íÍÊÇÌæä ÝÞØ Åä íÍÇØæÇ ÈÈÚÖ ÇáÅÌÇÈÇÊ ÝÞØ
8- open questionnaires
You ask the participant and then they answer the Q from their information (write it).
Ãä ÊÓÃá ÇáãÔÇÑßíä Ëã íÌíÈæä Úáì ÇáÓÄÇá ãä ÇáãÚáæãÇÊ ÇáÎÇÕÉ Èåã (íßÊÈæäå).
*****************************
*** The former are heavy on Data Analysis transcribing them (if spoken)
and categorising what people say, and often contain material suitable for purely qualitative analysis.
Ýí ÇáäÞØå åÐå íÊßáã Úä ÕÚæÈÉ ÌãÚ ÇáÈíÇäÇÊ æÇáãÚáæãÇÊ ãä ÇáãÔÇÑßíä æÊÑÊíÈåÇ æÐßÑ Çä ÇÍíÇä ããßä äÖØÑ áÊÑÌãÊåÇ ãä
ÇáÚÑÈí ááÇäÌáíÒí æÇáÚßÓ .. ) ãÌÑÏ ÊæÖíÍ (
*** The latter involve more work in constructing the Materials beforehand,
and the Data Analysis may be fairly automatic (and computerisable). The more open instruments of this sort
are typical of ethnographic research. All might be involved in action research,
or classical research usually of the nonexperimental type.
åÐÇ ÇáÌÒÁ ÞÇá áÇ ÊåÊãæä Ýíå ßËíÑ .. ÇåÊãæÇ ÇßËÑ ÈÇáØÑÞ æÇáÊæáÒ Çááí ßÊÈÊåÇ ÝæÞ ..
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åäÇ ÌÇÈ áäÇ ÇÓÊÈíÇä æÈÏà íÔÑÍ Úáíå æÈÏà íÕÍÍ æíäÊÞÏ ÈÚÖ ÇáãÔÇßá
# Conventional closed questionnaires
1) Spot as many unsatisfactory features as you can in the following
start of a sociolinguistic research questionnaire given to people in Wales:
ÇÓÊÈíÇä ÇáÈÍË ÇáÇÌÊãÇÚí ÇááÛæí ÇáÐí íÞÏã ááäÇÓ Ýí æíáÒ
Name? ........ (optional)- Questionnaires åäÇ ÈÏÇíÉ ÇáÃÓÊÈíÇä Çá
* some people don't like write their names = so make it an optional , and maybe others reject answer because of it
ÚäÏí åäÇ ÙåÑÊ ãÔßáÉ ÇáÇÓãÇÁ ÇáÈÚÖ ãÇíÍÈ íßÊÈ ÇÓãå æÇáÈÚÖ íÑÝÖ
.
What age category do you belong to? Under 18 years
19 18-21 years
22 21-25 years
Over 25 years 26 and above
** åäÇ ÇáãÔßáå Ýí ÊÓáÓá ÇáÇÑÞÇã .. ÈÚÖ ÇáäÇÓ ãÇ íÍÈæä íÚØæäß ÚãÑåã ÇáÍÞíÞí ÝÇáÃÝÖá Êßæä ÏÞíÞ Ýí ßÊÇÈÉ ÇáÝÆÇÊ
ÇáÚãÑíå
Some people don't like to tell you their real age ; so be specific in writing age groups
Have you ever learnt any other languages? If so, which languages? If not skip to Q 3.
How much do you speak Welsh at home? Often, Sometimes, Never
problem here .. maybe there is someone who always speak Welsh inside and outside the home
ÇáãÔßáÉ åäÇ .. ÑÈãÇ åäÇß ÇáÈÚÖ ÇáÐíä íÊÍÏËæä ÏÇÆãÇ ÇáæíáÒíÉ ÏÇÎá æÎÇÑÌ ÇáãäÒá
Do you agree that Welsh should be obligatory in schools in Wales and on official
(e.g. income tax forms)? Yes/No
The problem here .. Question consists of two parts maybe there is person is OK on the first part and the second part rejecting
ÇáãÔßáÉ åäÇ .. ÓÄÇá íÊßæä ãä ÌÒÃíä ÑÈãÇ íßæä åäÇß ÔÎÕ åæ ãæÇÝÞ Úáì ÇáÌÒÁ ÇáÃæá æÇáÌÒÁ ÇáËÇäí íÑÝÖ
There are not enough Welsh language programs on TV. Yes/No
# How many variables are being measured there?
ßã ÚÏÏ ÇáãÊÛíÑÇÊ íÌÑí ÞíÇÓåÇ Ýí ÇáÇÓÊÈíÇä¿
Variable here is
ÇáãÊÛíÑ åäÇ åæ
(1) people attitude and beliefs
(1) ÇáäÇÓ ÇáãæÇÞÝ æÇáãÚÊÞÏÇÊ
(2) Age .. Check the effect of age on attitude ( the Independent variable is the age - the dependent variable is the attitude )
(2) ÇáÚãÑ .. ÊÍÞÞ ãä ÊÃËíÑ ÇáÚãÑ Úáì ãæÞÝ (ÇáãÊÛíÑ ÇáãÓÊÞá åæ ÇáÓä - ÇáãÊÛíÑ ÇáÊÇÈÚ åæ ãæÞÝ)
# Think of more than one hypothesis one might formulate about them.
# ÝßÑ Ýí ÃßËÑ ãä ÝÑÖíÉ ÞÏ Êßæä æÇÍÏå æÖÚÊ Úäåã.
Older people will prefer to use welsh more than younger people.
ßÈÇÑ ÇáÓä ÇáäÇÓ ÓæÝ íÝÖáæä ÇÓÊÎÏÇã ÇáæíáÒíÉ ÃßËÑ ãä ÇáÔÈÇÈ.
# How would you represent people's responses on each as a number for computer entry?
# ßíÝ ÊãËá ÇÓÊÌÇÈÇÊ ÇáäÇÓ Úáì ÈÚÖ ßÑÞã áÏÎæá ÇáßãÈíæÊÑ¿
Count the answers and then from the computer you can generate the graphs and columns.
ÚÏÏ ÇáÅÌÇÈÇÊ Ëã ãä ÇáßãÈíæÊÑ íãßäß ÊæáíÏ ÇáÑÓæã ÇáÈíÇäíÉ æÇáÃÚãÏÉ
ÃÈæ ÞÕí
2017- 2- 15, 11:02 PM
ÇáãÍÇÖÑÉ ÇáËÇäíÉ ÚÔÑ
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.
.
ÇáãÊÛíÑÇÊ æÔÑÍ ÇäæÇÚåÇ
# when you choose your topic you must decide in the variable.
áãÇ ÊÌí ÊÎÊÇÑ ãæÖæÚ áÇÒã Çäß ÊÍÏÏ ÇáãÊÛíÑ ÚäÏß
>> the more variables ; your research is bigger
áÇä ßá ãÇßËÑÊ ÇáãÊÛíÑÇÊ Ýí ÈÍËß ÊæÓÚ æßÈÑ ÇáÈÍË Úáíß
>> The few variables ; then smaller and focus your research.
ÈÚßÓ áæ ÞÞáÊ ÚÏÏ ÇáãÊÛíÑÇÊ áÇä ÈßÐÇ íÕÛÑÈÍËß æíÓÇåã åÐÇ ÇáÔí Ýí ÊÑßíÒß Úáíå
æÈÏà íÊßáã Úä ÇáãÍÇÖÑå ÇáÓÇÈÞå æÇáÇÓÊÈíÇä Çááí ßÇä Úä ÊÚáã ÇááÛå
Welsh
æßÇäÊ ÇáãÞÇÑäå Èíä ÇáÔÈÇÈ æßÈÇÑ ÇáÓä Ýí ÇÓÊÎÏÇãåã áåÐå ÇááÛå
æßÇä ÇáÈÍË íæÌÏ Ýíå ãÊÛíÑíä åãÇ
age and attitude
æÈÏà íÔÑÍ ÇáãÊÛíÑÇÊ Ýí ÇáÇÓÊÈíÇä æÇäå ÈãÞÏæÑí ÇÓÊÍÏË ãÊÛíÑ æÇÍÐÝ ÛíÑå
ÝãËáÇ áæ ÇÓÊÍÏËäÇ ÚÇãá ãÊÛíÑ ÇÎÑ ÈÇáÇÖÇÝå á
age and attitude
æÞáäÇ íßæä ãËáÇ...
background
íÚäí íßæä ÚäÏí ÞÓãíä äÇÓ ãÊÚáãå æäÇÓ áÇ
Ýí ÇÈÇÁ áÈÚÖ ÇáäÇÓ Çæ ÇÞÇÑÈ áåã ÛíÑ ãÊÚáãíä åÇáÝÆå ããßä ËÄËÑ Úáì ÈÍËí áæ ÔãáÊåã Ýíå ÝÇÍÊÇÌ åäÇ Çäí ÇæÞÝ åÇáãÊÛíÑ
æíæÌÏ ÚÇãá ÇÎÑ áæ ßÇä ÈÍËß íÛíÑ ãæÞÝ Ýí Íßæãå Çæ æÒÇÑÉ ÝÊÍÊÇÌ ãËáÇ
political view
áÇä åÐÇ ÇáÚÇãá íÄËÑ Ýí ÈÍËß
íÚäí åäÇß ãÊÛíÑÇÊ ÇÓÇÓíå æãÊÛíÑÇÊ ÇÎÑì ããßä ÊÄËÑ Úáì ÈÍËí íÝÖá Çäí ãÇ ÇÖíÝåÇ
ÚÇãá ÇÎÑ åæ ÇáÌäÓ )ÐßÑ æáÇ ÇäËì( Ý ÝÑæÞÇÊ æÇÎÊáÇÝÇÊ Èíä ÇáÌäÓí
Ýåá ÑÇÍ ÇÎáíå ÊÃËÑ Úáì ÈÍËí Çæ ÑÇÍ ÇÊÍßã
** The idea of this lecture that
ÇáÝßÑå ÇáÇÓÇÓíå Ýí ÇáãÍÇÖÑå
you need to know that you have some central variables ( that you are going to research it )
and these variables are your interest but there are some factors or some others variables
that can affect your research and you need to control them by one way or another.
ÚäÏß äæÚíä ãä ÇáãÊÛíÑÇÊ äæÚ ÇÓÇÓí Úáíß Çäß ÊÑßÒ Úáíå Ýí ÈÍËß æäæÚ ÇÎÑ íÃËÑ Úáì ÈÍËß æåÐÇ áÇÒã ÊÓíØÑ Úáíå ÈØÑíÞå Çæ ÇÎÑì
ãæ ãÚäì Çäí ÇÑßÒ Úáì ãÊÛíÑ ÑÆíÓí ãÇÑÇÍ íßæä ÚäÏí ãÊÛíÑÇÊ ãÄËÑå ,,áÇ ØÈÚÇ æáßä ÃÍÇæá Çäí ãÇ ÇÊÇËÑ ÝíåÇ
# your central variables ( or the main variables ) is the central of your RQ & RH .
åäÇ ÑÇÍ íßæä ÚäÏí ÇáãÊÛíÑ ÇáÑÆíÓí Çááí íßæä ÇÓÇÓ ÈÍËí æÇáÓÄÇá Çááí ÇÈí ÇáÞÇ áå ÇÌÇÈå
åäÇ ãËÇá ãä ÇáãÍÇÖÑå ÇáÓÇÈÞå íÈíä áí ÇáãÊÛíÑ ÇáÑÆíÓí æÇáãÊÛíÑ ÇáãÄËÑ
Ex: this hypothesis from last lecture " Older people will prefer
to use welsh more than younger people " the central variables is attitude + Age ..
åäÇ ÇáãÊÛíÑíä ÇáÑÆíÓíä Ýí ÇáÇÓÊÈíÇä Úä ßÈÇÑ ÇáÓä æÊÝÖíáåã áÇÓÊÎÏÇã ÇááÛå ÇáæíáÒíåæÇáÔÈÇÈ ßÇäÇ Çá
attitude + Age
>> and there is other factors like gender (if participant male or female) affecting
the preferring of welsh but it's not in the hypothesis = so the gender is not central of the research.
æåäÇ ßÇä ãä Öãä ÇáãÊÛíÑÇÊ ÇáãÄËÑå Úáì ÇáÈÍË ÇáÌäÓ (ÐßÑ Çæ ÇäËì)-
** So is this a one variable design, two variable, three variable etc. design?
åá åÐÇ ÇáÊÕãíã Ðæ ãÊÛíÑ æÇÍÏ Çæ ãÊÛíÑíä Çæ ËáÇËå¿
íÚäí ÇÐÇ ÚäÏß Ýí ÈÍËß ãÊÛíÑ æÇÍÏ ÇÞæá Úäå----
one variable design
ÇÐÇ ÚäÏß Ýí ÈÍËß ãÊÛíÑíä ÇÞæá Úäå------
two variable design
æåßÐÇ
æÌÇÈ áäÇ ãËÇá Úä áæ ÌíÊ ÇÈí ÇÚÑÝ ßã ØÇáÈ ãæåæÈ ÚäÏí Ýí ÇáãÏÑÓå¿
ÝÞØ ãÊÛíÑ æÇÍÏ Çááí åæ ÇÈí ÇÚÑÝ ÇÝÖá ØÇáÈ ÈÇáãÏÑÓå
The best student in my school
** In the jargon: univariate, bivariate or beyond two variables it may be either factorial or multivariate (As a rough guide, it would be called factorial only where there are two or more explanatory variables in categories, see below for explanation, otherwise it would be called multivariate). åÐÇ ÇáÌÒÁ ááÝÇÆÏå ÝÞØ
æÞÇá íÚäí ÊÚÑÝ Ôäæ ÇÓãåÇ ÈáÛÉ ÇáãÍÊÑÝíä ÈÏá ãÇÊÞæá ãÊÛíÑ ÇÍÇÏí ÊÞæá
Univariate
íÞæá áÇÊÔÛá äÝÓß ÝíåÇ
ÔÑÍ ãËÇá Úä ÊÇíæÇäíä(ÇÓÊÈíÇä) íÊÚáãæä ÇäÌáíÒí æäÈí ÊÍÞÞ Úä Çá 20 ÇÓÊÑÇÊíÌíå åá íÓÊÎÏãæäåÇ¿
åá íÓÊÎÏãæäåÇ ÈØÑíÞå ÕÍíÍå¿
åá íÓÊÎÏãæäåÇ ÈØÑíÞå ãÄËÑå æÓáíãå¿
æäÖíÝ áåÐÇ ÇáÇÓÊÈíÇä ãÊÛíÑ ÇÎÑ ãËá ÇáäæÚ
ÝãËáÇ åá ÇáÐᑥ íÓÊÎÏãæä åÐå ÇáÇÓÊÑÇÊíÍíÇÊ ÈØÑíÞå ÇÝÖá ãä ÇáÇäÇË¿
ÝÇÕÈÍ ÚäÏäÇ åäÇ 20 ÇÓÊÑÇÊíÌå ááÐᑥ æ20 ááÇäÇË ÝÇÕÈÍ ÇáãÌãæÚ 40 ÇÓÊÑÇÊíÌíå
ßá ÇÓÊÑÇÊíÌíå ÑÇÍ íßæä áåÇ
hypthesis and research question
ÝãËáÇ áæ ÌíäÇ áÇÓÊÑÇÊíÌíå
Skiming
äáÞì ÇáÐᑥ ÇÝÖá ãä ÇáÇãÇË Ýí åÐå ÇáÇÓÊÑÇÊíÌíå
áæ ÌíäÇ áÇÓÊÑÇÊíÌíå
Gessing
äáÞì ÇáÇäÇË ÇÝÖá ãä ÇáÐᑥ ÝíåÇ
æäÓÊãÑ Ýí ÈÍËäÇ È 20 ÓÄÇá
íÚäí 40 hypthesis
ãÚ 40 ÊÍáíá æåÐÇ íÇÎÐ æÞÊ Øæíá æãÊÚÈ æáßä íÓÊÍÞ Ðáß áãÇ ÊÔæÝ ÈÍËß ÇäÊåì æáÞÈÊ ÈÇáÈÇÍË
ÈÚÏåÇ ÓÇá Úä 쾄 ÇáãÊÛíÑÇÊ ÇáÑÆíÓíå
What roles do the central variables each play?
ÞÑÇ ÇáÌãáå åÐí
Often we think of one or more variables as potentially 'explaining'
or 'causing' or 'affecting' or 'predicting' one or more of the others.
ããßä ÈÚÖ ÇáãÊÛíÑÇÊ ÊÔÑÍ Çæ ÊÓÈÈ Çæ ÊÄËÑ Çæ ÊÊäÈÃ
åäÇ ÞÇá áÇÒã äÚÑÝ
witch Independent variable
And witch dependent variable
ÝãËáÇ
Independent variable äÓãíå explaining variable
íÚäí ãËá ÇáäæÚ
For instance gender would be regarded as 'explaining' any differences in use of strategies we find.
íæÖÍ ÇáäæÚ åäÇ ÇáÇÎÊáÇÝ Ýí ÇÓÊÎÏÇã ÇáÇÓÊÑÇÊíÌíÇÊ
ÚÔÇä ßÐÇ ãÇäÞÏÑ äÞæá Úä
Gender is dependent variable # No
ÈíäãÇ ÇáÚãÑ ããßä ÇÚÊÈÑå
Dependent variable
áÇä ÇáÊÚáíã áÇíÄËÑ Úáì ÇáÚãÑ ÝÇäÊ ÇÐÇ ÊÚáãÊ áÛå åÐÇ ãÇ íÚäí Çä ÚãÑß ÑÇÍ íßÈÑ!!
# people thought that is all research is experimental "ÊÌÑíÈí " that we have experiment
>> No!! it's not experimental at all.
íÚÊÞÏ ÇáäÇÓ Çä ÇáÈÍæË ßáåÇ ÊÌÑíÈíå æåÐÇ ÛíÑ ÕÍíÍ
3) Is this an experiment, in the strict sense?
- Is experimental in a sense .. if we have for example an intervention
"like ex; of computers" it's an experiment (I want to experiment using a computers and it's affect ) ..
ÇáßãÈíæÊÑ ãËÇá Úáì ÇáÊÌÑíÈí ÚäÏãÇ ÇÑíÏ Çä ÇÌÑÈ ÇÓÊÎÏÇãå
- How about " attitude " I want to measure student attitude !!
it's not experiment it's called a study
áßä áæÌíÊ ÇÞíÓ ãæÞÝ ÇáØáÇÈ åäÇ ÇÚÊÈÑåÇ ÏÑÇÓå
= = so this is the difference between an experiment and a study .
æÈßÐÇ íßæä åäÇß ÝÑÞ Èíä ÇáÊÌÑíÈí æÇáÏÑÇÓå
What variables are or should be considered additionally to the central EVs and DVs?
CVs = These are variables that you might need to control, in the sense of 'exclude the effects of'
æåÐÇ íÚäí ÇáãÊÛíÑ Çááí ÇÞÏÑ ÇÊÍßã Ýíå Çæ ÇÓÊÈÚÏå ãËáÇ áæ ÍÈíÊ ÇÚÑÝ ÇËÑ ÇáÚãÑ Úáì ÇáãæÞÝ ÇÞæã ÇÊÍßã ÈÇáäæÚ
ãËáÇ Ýí ÈÍËß ÇÎÐÊ ÈÚÖ ÇáÚíäñÇÊ ááÑÌÇá æÇáäÓÇÁ æÊÞæá ÈÇáÇÎíÑñ
Çäß ÊÍßãÊ Ý ãÊÛíÑ ÇáÌäÓ Ý ÇáäÊíÌÉ ÊÐßÑ åÐÇ
ÝíÓÃáæäß ßíÝ¿
ÊÞæá Çäß ÇÍÖÑÊ ÚíäÇÊ ãä ÇáÐᑥ æÇáÇäÇË
æßáåã ÓÇåãæÇ ÈÇÌÇÈÇÊ Ýí ÈÍËß
Çæ ÊÞæá ãä ÇáÈÏÇíÉÇäÇ ÊÍßãÊ ÈãÊÛíÑñ ÇáäæÚ
ÝßÇä ÈÍË Úä ÇáÐᑥ æÇÓÊÈÚÏÊ ÇáÇäÇË
Çæ
ÊÞæá ãä ÇáÈÏÇíÉ ãËáÇ Çä ÈÍËí Ôãá ÚíäÇÊ ááÐᑥ æÇáÇäÇË
ãä ÛíÑ ãÇÊÏÎá Ýí ÊÍáíá ãä ÇÑÇÁ ßá äæÚ Çæ ÊÍáíá Úä ÇáäæÚ
ÝÊßæä äÊíÌÊß ÈÏæä Çæ ãæ ãÊÃËÑå ÈÇáäæÚ
ãËáÇ ÊÈí ãÞÇÑäå Èíä ÇáÑÌÇá æÇáäÓÇÁ æãÇÊÈí ÇáÚãÑ íÄËÑ Úáì ÈÍËß
ÝÊÇÎÐ ãÏì æÇÍÏ ááÚãÑ Çæ ÚãÑ æÇÍÏ ááßá
åäÇ ÇäÇ ÊÍßãÊ ÈÇáÚãÑ
Çæ ÊÊÌßã ÈÇáäæÚ ÝÊÎÊÇÑ Ðᑥ ÝÞØ
ÇÈí ÇÓÊÈÚÏ ãÊÛíÑ ÇáÌäÓ Ýí ÈÍËí ÇÞæá ãä ÇáÈÏÇíÉ Çä ÚíäÇÊí Ðᑥ æÇäÇË æáÇ ÊØÑÞ áåÇáÔ ÈÚÏíä
Çæ ÇÞæá Çä ÚíäÇÊí ÔãáÊ ÇáÐᑥ æÇáÇäÇË áßä åÇáÔí ãÇ ÇñËÑ Úáì ÈÍËðí
æáÇ ÑÇÍ ÇÊØÑÞ áå Ýí ÇáÈÍË
ÇáÈÇÞí ÞÇá ÇÊÑßã ÊÞÑæäå
æÌÇ áÚÈÇÑå
in much language research ideal control is not possible
Ýí ÇáßËíÑ ãä áÛÉ ÇáÈÍæË ÇáÊÍßã ÇáãËÇáí ÛíÑ ããßä
æåÐÇ ÕÍíÍ æãåã
æÔÑÍ ãËÇáíä:
1- fully control
ÚäÏäÇ ØÑíÞñÊíä ááÊÏÑíÓ æÍÏå ÈÇáßãÈíæÊÑ ææÍÏå ãä ÛíÑ
æåÐí ÇÓãíåÇ fully experimentally design and fully control why??
áÇä ÇáãÌãæÚå Çááí ÈÏæä ßãÈíæÊÑ ÇÚÊÈÑåÇ ÊÍßãÊ Ýí åÐÇ ÇáãÊÛíÑ æÇÓÊÈÚÏÊå
2- uncontrolled
ÚäÏí ÝÕáíä ãæ ãÍÊÇÌ ÇÎÐ ÚíäÇÊñ ÚÔæÇÆíÉ
ããßä íØñáÚ ÇáÝÕá ÇáÇæá ÇÝÖá ãä ÇáËÇäí Çæ Ýíå ØáÇÈ ãÊÝæÞíä åÐÇ ÇáÔí ãÇÞÏÑ ÇÊÍßã Ýíåñ
** ……… the uncontrolled factors might have affected what is observed.
There is uncontrolled variable you can't controlled them ; you must mention that in your research.
ÃÈæ ÞÕí
2017- 2- 15, 11:13 PM
ÇáãÍÇÖÑÉ ÇáËÇáËÉ ÚÔÑ
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äÌí áÇÎÑ ÎØæÉ Ýí ÈÍËß æåí ÇáäÊíÌå
Result
# Results = is the last step in your research.
- In result you show us the product of all your efforts, all the hassles, all the troubles you have been through and present them to us.
ÊÑíäÇ Ýí ÇáãÑÍáå ÇáÇÎíÑå äÊÇÌ ÈÍËß æßá ãÇæÇÌåß ãä ÕÚæÈÇÊ æãÔÇßá æÊÞÏãåÇ áäÇ
- the result is consider to be the essence of your research , the main thing of your research.
íÚÊÈÑ ÇáäÊíÌå åí ÌæåÑ ÈÍËß æÇåã Ôí Ýíå
- we do research cause we want to reach an outcomes , to reach conclusion ,
to reach some kind of result to help us for full our research objectives.
äÍä äÌÑí ÇáÈÍË áÇääÇ äÑíÏ ÇáÍÕæá Úáì äÊíÌå æÇÓÊäÊÇÌ áäÊæÕá Çáì äÊíÌÉ ÊÓÇÚÏäÇ Ýí ßá ÇåÏÇÝäÇ ÈÇáßÇãá
ãåã ÌÏÇ Çä äÚÑÝ ÊÑßíÈÉ ÇáäÊíÌå ßí íÊÓäì áäÇ ÊÞÏíãåÇ
áÇä ÊÞÏíã ÇáäÊíÌå ÔíÁ ãåã ÌÏÇ
The presentation of the result is very important
áÇä ÇÐÇ ÞÏãÊåÇ ÈÇÓáæÈ ããÊÚ æÔíÞ ÓæÝ ÊÌÐÈ ÇäÊÈÇå ÇáÞÑÇÁ áåÇ
If you present them very well, in an intersting way that will attract your readers
æÇáÚßÓ ÕÍíÍ
Ýí åÐí ÇáãÍÇÖÑå ÑÇÍ äÚÑÝ Ôáæä äÞÏã ÇáäÊíÌå æãÇåí ÚäÇÕÑ Çæ ãßæäÇÊ ÊÞÏíãåÇ
æÑÇÍ íÊßáã Úä ÇáÎÇÊãå ÈäåÇíÉ ÇáãÍÇÖÑå
æÑÇÍ íÔÑÍ áäÇ ÇáÝÑÞ Èíä
Results – Discussion – Conclusion
*******
THREE STATISTICAL THINGS TO DO WITH RESULTS
(a) Presentation :
ãä Çáãåã ÇäÊ ÊÚÑÝ ßíÝ ÊÞÏã äÊíÌÉ ÈÍËß
- It's very important that you know how to present your result.
æÇáÚÑÖ íÓåá ÚáíäÇ Ýåã ÇáÑÓæãÇÊ æÇáÌÏÇæá ÇáÈíÇäíå
- In the result you try to make a thing very easy to reader ; specially when you use tables and graphs you need to explain them.
íÌÈ Úáíß ÊÓåíá ÇáÌÏÇæá ÇáÈíÇäíå Úáì ÇáÞÇÑÆ æÍæáåÇ Çáì äÓÈ ãÆæíå áÇ ÊÊæÞÚ Çä ßá ÇáÞÑÇÁ ÓíÝåãæä
- - if you have graphs and table you may Convert them into percentages "%"
(b) Descriptive statistics : " ÇáÊÍáíá ÇáæÕÝí "
ÏÇÆãÇ äÈÏÇ Ýí ÇáäÊíÌÉ È ÇáÊÍáíá ÇáæÕÝí
- - in all result you always start with descriptive statistics (only describe the numbers of data)
Descriptive statistics
ãÚäÇåÇ..
only describe the numbers of data
íÚäí ÇäÊ ÊÕÝ ÇáÇÑÞÇã ÝÞØ
æÔÑÍ áäÇ ãËÇá Úä ÊÚáã ÇááÛå ÇáÇäÌáíÒíÉ æÊßáã Úä ËáÇË ÝÆÇÊ æÚä ãæÞÝåã ãä ÊÚáãåÇ
Positive attitude - negative attitude – in between
Ýí
In your descriptive statistics you tell how many Positive attitude - negative attitude – in between
ÑÇÍ ÊÕÝåã ÈÇáÇÑÞÇã ßã ÚÏÏ ÇáÇíÌÇÈíä æÇáÓáÈíä æÇááí Èíä æÈíä
æÈÚÏåÇ ÊØáÚ áí ãä ÇáÇÑÞÇã Çá Main
áÇä ÇßÈÑ ÚÏÏ åæ Çááí ÑÇÍ íäÊÓÈ áå ÈÍËß ÓæÇÁ ßÇä ááÇíÌÇÈí Çæ ÇáÓáÈí Çæ Çááí Èíä æÈíä Úáì ÍÓÈ ãäæ Çááí ÑÞãå ÇßÈÑ
ãËáÇ áæ ßÇä ÇáÇßÈÑ åæ ÇáÓáÈí ÝÊÞæá
My research participant has negative attitude to word English
ÚÇÏ ÔÑÍ ÇáãËÇá ÈÇÑÞÇã ÕÛíÑå
æÇÚØì ÇáÓáÈíä ÕÝÑ –æÇáãÍÇíÏíä 1- æÇáÇíÌÇÈíä
Negative 0- neutral 1-positive 2
And you ask your participant to choose either negative ,or positive,o neutral
áæ ßÇä ÚäÏß ãËáÇ 300 ãÔÇÑß ßã æÇÍÏ ãäåã ÑÇÍ íÎÊÇÑ 2æßã æÇÍÏ ÈíÎÊÇÑ 1 æßã æÇÍÏ ÈíÎÊÇÑ ÕÝÑ
You gather all of these numbers and you split the total into what it is called main
These are figures you (get the computer to) calculate from a lot of specific figures which arise from data. = use computer to calculate ;
ÇÐÇ ãÇ ÚÑÝÊ Ôáæä ÊÌãÚ åÇáÇÑÞÇã
Ýíå ÈÑÇãÌ ãÎÕÕå áÍÓÇÈ ÇáäÓÈ æÇáÑÓæã ÇáÈíÇäíå äÞÏÑ äÓÊÚíä ÝíåÇ ãËá ÇáÅßÓá excel ãä ãÌãæÚÉ ÈÑÇãÌ ÇáãÇíßÑæ ÓæÝÊ
ÇæÝÓ + ÈÑäÇãÌ ÇÍÕÇÆí ÇÓãåSpss
ÇáÍíä áæ ãËáÇ ØáÚ ÇáÑÞã ÚäÏí 1.5
íÚäí Çä ÇáãÔÇÑßíä ãÊÌåíä Çáì ÇáãÌãæÚå ÇáÇíÌÇÈíå
That means your participant is going more toward positive attitude toward English
ÝÊÞæá
Most of my participants have positive attitude
áÇä ÇáäÊíÌå áã Êßä 2 ÈÇáßÇãá ÝãÇ ÇÞÏÑ ÇÞæá ßáåã
ÈÚÏíä ÛíÑ ÇáäÊíÌå Çáì 0.5 ÝäÞæá...
Most of my participants have negatine attitude
I don’t say all
áÇä ÇáäÊíÌÉ áÇ ÊÓÇæí 1 ßÇãá
The main related to Descriptive statistics
æÚÑÝ áäÇ Çá Main: is the centrality of the scores of your result
Çí Çíä íßæä ãÑßÒå åá åæ Èíä ÇáãßæäÇÊ
Where they are centred?
Are they centre in one Category?or btween 2 Categories?
You need to be specificin your descriping your result
áÇÒã Êßæä ãÍÏÏ Ýí æÕÝß
áÇä ãä ÇáäÊÇÆÌ 0.5 ãÇ ÇÞÏÑ ÇÞæá Úäåã ÓáÈíä áÇäåã ãÇ ÍÕáæÇ Ú ÇáæÇÍÏ ÝÇßæä ÏÞíÞå Ýí æÕÝí æÇÞæá ÇÛáÈåã ÓáÈííä
we want to know where our data are centered so we can describe them or we can depend on them to reach a result.
-- (b1) Measures of centrality :
- where you have cases that have been put in categories, is the category that
the greatest proportion of people chose or fell in = the highest score that my participant selected.
Çí æíä ÇßËÑ ÊÌãÚ ááãÔÇÑßíä åá ÚäÏ ÇáÇíÌÇÈíä Çæ ÇáÓáÈíä ÇæÇáãÍÇíÏíä æÇááí ÍÕÏ ÇßËÑ ãÚÏá
- we want to know where our data are centered so we can describe them or we can depend on them to reach a result.
äÈí äÚÑÝ æíä ÈíÇäÇÊäÇ ãÊÑßÒå ÚÔÇä äÚÑÝ äÕÝåÇ æäÕá Çáì äÊíÌÉ ÇáÈÍË
*************
-- (b2) Measures of variation :
Standard Deviation = is how to separate the score from each other
(score here is the participant answers ; are they close to each other or not )
ÇÚØì ÚáíåÇ ãËÇá
ÇßËÑ ÇáãÔÇÑßíä ãËáÇ Èíä ÇáÓáÈíä æÇáãÍÇíÏíä äÈí äÚÑÝ ÇáãÓÇÝå Èíä äÊíÌÊåã æßã ÇáãÓÇÝå ááÇíÌÇÈíä
ÇáäÊíÌÉ ÇáÍÇÕá ÚáíåÇ ãä ÇáÚãáíÇÊ ÇáÍÓÇÈíå ÇÐÇ ßÇäÊ ßÈíÑå äÞæá Úäåã
They separate
æÇÐÇ ÇáÑÞã ÕÛíÑ äÞæá Úäåã
They are very close to each other
ÈÚÏåÇ ÞÇá Çåã Ôí íÌÈ Çä ÊÚÑÝæäå
1- We want the presentation to be simple and easy
2- You know the main is very important because based on the main we can have a result
3- Standard Deviation is how closely or far the participants
*****
Measures of difference.
Let say you have differences in the answers
ÔÑÍ áäÇ ãËÇá ÇÓÊÎÏÇã ÇáßãÈíæÊÑ Ýí ÊÚáíã ÇááÛÉ ÇáÇäÌáíÒíÉ
You have teachers in your school and you ask them this question:
What do you think of using computers in classroom?
And then you get some saying well its very affective,I like it
Some saying no,its not affective,I don’t like it
So you have 2 answers here either they like it or they don’t like it
When you calculated how many said I like it and how many said I don’t like
You get for example this result
40 saying like- 38 saying don’t
We have difference here- but can you say there is a real difference in the opinion?
No
áÇä ÇááÇÎÊáÇÝ ÝÞØ ÈãÏÑÓíä íÚäí ÊÞÑíÈÇ åã ãÊÓÇæíä ÈÇáÑÇí ÝãÇ äÞÏÑ äÞæá Çäåã ÑÝÖæÇ Çæ æÇÝÞæÇ äÞæá äÕåã æÇÝÞ æÇáäÕ ÇáËÇäí ÑÝÖ
áßä áæ ßÇäÊ æÍÏå ãä ÇáäÓÈ =28 åäÇ äÍÊÇÌ Çáì ÇáßãÈíæÊÑ áÍÓÇÈ
Measures of difference
áÇäå ÕÇÑ Ýíå
A real difference between 28-40
Because you want reach to a level call # Level of significance
It's should be something like ".05" It's called "p = Probability significance " < we get this number by computer (special programmes)
- If you get this number ".05" and less then it's called in research significance difference>this is what we are looking for in research.
- If you get this number ".05" and above then NO!! it's not significance difference ; we can't say there is a different
ÑßÒæÇ Úáì ÇáÑÞã ÚÏá æÇÍÝÙææå
-- (b4) Measures of relationship :
ÐßÑ ãËÇáíä ÚáíåÇ æÇÍÏ ÇÓÊÎÏÇã ÇáßãÈíæÊÑ Ýí ÊÚáã ÇáÇäÌáíÒíå
The more you use the computers in learning English the higher the score you get in the final exam
The relationship between using computers and getting higher marks
ãËÇá ÇÎÑ
You want to prove if your age is young you are going learn English faster than who older in age
The relationship between age and learning English
**These quantify the amount of relationship between two (or more) variables
as measured in the same group of people or whatever
ÈåÐÇ ÇáÌÒÁ åÐå ÇáÌãáå ÝÞØ åí ÇáãØáæÈå ãÚäÇ æÇáÈÇÞí ÞÑÇÁå áÒíÇÏÉ ÇáãÚáæãÇÊ
******
(b) Inferential statistics :
åäÇ Êßáã Úä ÇáÇÍÕÇÆíÇÊ æÇä áåÇ ÚÏÉ ÇÓãÇÁ
It's deal with P value ÇÐÇ ÇÈí ÇØáÚ ÇáÞíãÉ ÍÞÊ ÇáÈí ÇÌíÈåÇ ãä ÇáßãÈíæÊÑ<<
ÞÇá Çåã Ôí äÚÑÝ Çä
Sometimes We use inferential statistics to reach P value
# the level of certainty :
is about what inferential stats tells you that you will be satisfied with.
ÈÏà íÔÑÍ áäÇ ÈÇä ÇáäÊÇÆÌ ãÇÑÇÍ Êßæä 100%
** No inferential stats give you 100% certainty of anything
after we do research we can't be 100% certain that are these result 100% perfect NO!! ;
you should have some margin of errors and this calculated to be 5% at least in your research …
you can be 95% that your result are good.
*******
# Significance tests :
We use it for just to give us a poised or confidence that we can say (yes we are have a real difference or a real relationship )
<< "How??" through the Level of significance
äÓÊÎÏãåÇ áãÌÑÏ Ãä ÊÚØíäÇ ÇáËÞÉ ÇáÊí ÊãßääÇ ãä Ãä äÞæá (äÚã äÍä áÏíäÇ ÝÑÞ ÍÞíÞí Ãæ ÚáÇÞÉ ÍÞíÞíÉ) << "ßíÝ ¿¿" ãä ÎáÇá ãÓÊæì ÇáÏáÇáÉ
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2017- 5- 18, 12:03 AM
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2017- 5- 18, 12:07 AM
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fatimasb
2017- 5- 18, 12:10 AM
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ÏíãÉ ãÄãä
2017- 5- 18, 12:27 AM
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ÇáÃÝÖá Çäæ ÊÊÇÈÚæä ÇáãÍÇÖÑÇÊ æÈÚÏíä ÊÎÊÈÑæä äÝÓßã Úáì ßá ãÍÇÖÑå
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ÚÞÇÈ !!!!:eek::mh12:
ÏíãÉ ãÄãä
2017- 5- 18, 12:28 AM
áíå ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿
Ãã ÓáØÇä
2017- 5- 18, 12:49 AM
ÇäÇ ÐÇßÑÊ ãä ÇÓÈæÚ ãáÎÕ ÇäÕÇÝ æÇÍÓå ÛíÑ ÇáãáÎÕÇÊ Çááí åäÇ !¿
Ôßáí ÐÇßÑÊ ÛáØ
ÏíãÉ ãÄãä
2017- 5- 18, 01:41 AM
22) 'Learning a language' is .............. to be viable as a research topic
- A. very specific
- B. too narrow
- C. too broad
- D. All the above
ÇáÌæÇÈ áÇåäÊæ
too broad
ÝÑÍ ÓÚíÏ
2017- 5- 18, 01:45 AM
22) 'Learning a language' is .............. to be viable as a research topic
- A. very specific
- B. too narrow
- C. too broad
- D. All the above
ÇáÌæÇÈ áÇåäÊæ
C.too broad
:d5:
æÑÇÁ ÇáäåÑ
2017- 5- 18, 02:25 AM
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Noway
2017- 5- 18, 03:16 AM
æÇááå ÇäÇ ãÇÝí ãÚáæã ÇíÔ ßáÇã åÐÇ ãÞÑÑ :icon120:
áÇääí ÇÈäÊå
2017- 5- 18, 03:41 AM
ÇäÇ ãÊÝÇÆáå ÎíÑ
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roselinda
2017- 5- 18, 03:56 AM
æÇááå ÇäÇ ãÇÝí ãÚáæã ÇíÔ ßáÇã åÐÇ ãÞÑÑ :icon120:
ååååååååååååååååååå æÇäÇ ÇÎÊß äÝÓ ÇáÔí ÌÇÈ áí ÇáÕãÑÞÚ ÈÓ ÇÑÍã ãä Úáã ÇáäÝÓ ÇááÛæí
Mn2l
2017- 5- 18, 03:58 AM
æÇááå ÇäÇ ãÇÝí ãÚáæã ÇíÔ ßáÇã åÐÇ ãÞÑÑ :icon120:
ÇãÓß ãáÝ iSeeU æÐÇßÑ ãÚå ÇáäãÇÐÌ Çááí ãÇ ÏãÌåÇ æÝÇáß +A
ßá ÔíÁ Ýí ÇáÕÝÍå ÇáÇæáì :sm12:
ÃÈæ ÞÕí
2017- 5- 18, 09:16 AM
áæ ÓãÍ澂 ããßä ÇÍÏ íÌÇæÈäí Ú ÇáÓÄÇá åÐÇ æÔ ÇáÕÍ ¿
Data analysis takes place after data analysis
Çæ ÇáÚßÓ ÇáÕÍíÍ ¿¿¿¿¿¿¿¿¿¿¿!!!!
Sent from my iPhone using ãáÊÞì ÝíÕá (http://r.tapatalk.com/byo?rid=92985)
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Data analysis takes place after data collection
ãÚäÇÊå ÈÚÏ ÊÌãíÚ ÇáãÚáæãÇÊ íÊã ÊÍáíá æÊÝÕíá åÐå ÇáãÚáæãÇÊ ÇáÊí ÌãÚÊ ãä ÞÈá¡¡¡¡íÚäí ÇáÌãáÉ ÇáÊí ÃäÇ ßÊÈÊåÇ ÇÐÇ ÌÊäÇ Ýí ÇáÇÎÊÈÇÑ äÍÇæá ßáäÇ äÎÊÇÑåÇ ÈÃÐä Çááå¡¡¡¡åÐå ÇáãÚáæãÉ ãæÌæÏÉ Ýí ÇáãÍÇÖÑÉ ÇáËÇäíÉ Ýí Õ5 ãä ãáÒãÉ äÞÇÁ¡¡¡¡ÃÊãäì Ãäí æÝÞÊ Ýí ÇáÇÌÇÈÉ Ú ÇáÃÓÊÝÓÇÑ¡¡¡æÝÞß Çááå:16:
ÃÈæ ÞÕí
2017- 5- 18, 09:28 AM
ÇáÈáÇß ÈæÑÏ åá ÐßÑ Ôí Çæ äÒá ÇÓÆáÉ¿¿
ÇáäÊ ÚäÏí ÖÚíÝ ÇÑÌæ ÇáÅÝÇÏÉ
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Mss Hassan
2017- 5- 18, 09:58 AM
If you want to compare groups over time, then your design is
A. within groups
B. one-way ANOVA
C. between groups
D. longitudinal
ÇáÍá¿
ÃÈæ ÞÕí
2017- 5- 18, 10:21 AM
If you want to compare groups over time, then your design is
A. within groups
B. one-way ANOVA
C. between groups
]D. longitudinal
ÇáÍá¿
åÐå ÇáäÞØÉ ãæÌæÏÉ Ýí ÇáãÍÇÖÑÉ 8¡¡¡¡íÈÛÇáí æÞÊ ÚÔÇä ÊÑÓÎ Ýí Ðåäí áÃäåÇ ÇáÕÑÇÍÉ Ôæí ÊáÎÈØ:icon120:¡¡¡¡
ÇáÍÞíÞÉ áÇÃÚáã ÇáÇÌÇÈÉ ÞÏ Êßæä ÇáÇÌÇÈÉ ÇáÇæáì ÕÍíÍÉ¡¡¡¡ÎáæäÇ äÑÇÌÚ åÐå ÇáäÞØÉ ãä ÇáãÍÇÖÑÉ 8
æÑÇÁ ÇáäåÑ
2017- 5- 18, 10:21 AM
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D Roger
2017- 5- 18, 10:23 AM
.
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D Roger
2017- 5- 18, 10:25 AM
Ãä ÔÇÁ Çááå åÐå ÇáÇÌÇÈÉ ÇáÕÍíÍÉ¡¡¡¡¡åÐå ÇáäÞØÉ ãæÌæÏÉ Ýí ÇáãÍÇÖÑÉ 8¡¡¡¡íÈÛÇáí æÞÊ ÚÔÇä ÊÑÓÎ Ýí Ðåäí áÃäåÇ ÇáÕÑÇÍÉ Ôæí ÊáÎÈØ:icon120:¡¡¡¡
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Çááå íÌÒÇß ÎíÑ íÇÈæ ÞÕí ÇäÇ ÍÝÙÊåÇ Úáì ÇÓÇÓ ÇäåÇ Within groups
íÚäí ÇáÌæÇÈ longitudinal
ÃÈæ ÞÕí
2017- 5- 18, 10:40 AM
.
.
Çááå íÌÒÇß ÎíÑ íÇÈæ ÞÕí ÇäÇ ÍÝÙÊåÇ Úáì ÇÓÇÓ ÇäåÇ within groups
íÚäí ÇáÌæÇÈ longitudinal
æíÇß í ÑÈ í ÚÒíÒäÇ¡¡¡¡¡ÚÏáÊ ÃÌÇÈÊí ÝæÞ áÇ ÇáÕÑÇÍÉ íÈÛÇáí ÑÇÌÚåÇ åÐå ÇáäÞØÉ Òíä¡¡¡ÇáÍãÏ ááå ãÇÒÇá Ýí æÞÊ¡¡¡¡Çááí ÈÓæíå ÈÃÑÌÚ áãáÒãÉ äÞÇÁ æÚÞÈåÇ ÈÇÑÌÚ ááßæíÒ ÇáÎÇÕ Ýí ÇáãÍÇÖÑÉ 8 ÃßíÏ ÑÇÍ íßæä Ýíå ÊÝÕíá ÃßËÑ¡¡¡
ÚÒíÒí Îáß Ú ÇáÇÌÇÈÉ ÇáÇæáì íÚäí ÇáÇÎÊíÇÑ ÇáÇæá áÇÊÛíÑåÇ¡¡¡¡¡ÇäÇ ÃÎÐÊ ÇáÇÌÇÈÉ ãä ãáÝ Ãí Óí íæ¡¡¡¡æÇáÙÇåÑ íÈíáí ÇÑÌÚ áÊÕÍíÍ ÇáãáÝ¡¡¡¡åÐÇ æÇááå ÃÚáã æÈÇááå ÇáÊæÝíÞ:004:
Mss Hassan
2017- 5- 18, 10:44 AM
Çááå íÌÒÇßã ÇáÝ ÎíÑ
ÑÈí íÑÒÞäÇ ÈÇáÇÓÃáå ÇáÓåáå æÇáÇÌæÈå ÇáÕÍíÍå
D Roger
2017- 5- 18, 10:47 AM
æíÇß í ÑÈ í ÚÒíÒäÇ¡¡¡¡¡ÚÏáÊ ÃÌÇÈÊí ÝæÞ áÇ ÇáÕÑÇÍÉ íÈÛÇáí ÑÇÌÚåÇ åÐå ÇáäÞØÉ Òíä¡¡¡ÇáÍãÏ ááå ãÇÒÇá Ýí æÞÊ¡¡¡¡Çááí ÈÓæíå ÈÃÑÌÚ áãáÒãÉ äÞÇÁ æÚÞÈåÇ ÈÇÑÌÚ ááßæíÒ ÇáÎÇÕ Ýí ÇáãÍÇÖÑÉ 8 ÃßíÏ ÑÇÍ íßæä Ýíå ÊÝÕíá ÃßËÑ¡¡¡
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D Roger
2017- 5- 18, 10:48 AM
Çááå íÌÒÇßã ÇáÝ ÎíÑ
ÑÈí íÑÒÞäÇ ÈÇáÇÓÃáå ÇáÓåáå æÇáÇÌæÈå ÇáÕÍíÍå
.
.
ÇááåÜã ÃãíÜÜä .. https://vb.ckfu.org/images/shrqwea/Cry111.gif
D Roger
2017- 5- 18, 10:58 AM
10) one example of ...........is when a researcher chooses specific examples participants , stationed ,eat because he/she likes them
-bias in research
-originality
-data collection
-data analysis
.
.
Ýí ßæíÒ ãßÊæÈ ÇáÇÌÇÈÉ ÇáÇæáì æÝí ßæíÒ ÇÎÑ ãßÊæÈ ÇáÇÌÇÈÉ ÇáËÇáËå
ãÇåí ÇáÇÌÇÈÉ ÇáÕÍíÍÉ æÔßÑÇð
-PEARL-
2017- 5- 18, 11:10 AM
10) one example of ...........is when a researcher chooses specific examples participants , stationed ,eat because he/she likes them
-bias in research
-originality
-data collection
-data analysis
.
.
Ýí ßæíÒ ãßÊæÈ ÇáÇÌÇÈÉ ÇáÇæáì æÝí ßæíÒ ÇÎÑ ãßÊæÈ ÇáÇÌÇÈÉ ÇáËÇáËå
ãÇåí ÇáÇÌÇÈÉ ÇáÕÍíÍÉ æÔßÑÇð
bias in research
Mn2l
2017- 5- 18, 11:12 AM
ÇíÔ ÇáÌæÇÈ :Cry111:
A good abstract is the one
A. That tell us about future direction of research
B. That tell us about the research problem, methods, results, and implications
C. That tell us a critique about previous studies
D. That tell us about what each section in the research talks about
Batoo04
2017- 5- 18, 11:15 AM
áÇáÓÄÇá:
If you want to compare groups over time, then your design is
A. within groups
B. one-way ANOVA
C. between groups
D. longitudinal
longitudinal Same group of people are observed at different points
in time ÇáÌæÇÈ ãÓÊÈÚÏ áÇäå ãÞÑÇäÉ ÈíÊ ÇÎÊáÇÝ ÇáäÞÇØ æáíÓ ÇáãÌãæÚÇÊ
Compare one group to another group ,
we called it -Between Groups Designs ÇáÌæÇÈ åÐÇ ãÞÑÇäÉ ÈÇßËÑ ãä ÞÑæÈ
æÝí ÇáÓÄÇá ÖÇÝ s áßáãÉ group :icon120:
Compare one group to itself over time ,
we called it - Within Group Designs -
æåÐÇ ãÞÇÑäÉ Ýí äÝÓ ÇáãÌãæÚÉ æåí ÇáÇÌÇÈÉ ÇáÞÑíÈÉ ÇÐÇ ÇÚÊãÏäÇ ßáãÉ
over time :sm5::sm5:
æíä ÇáÍá ÇáÕÍíÍ ¿¿:sm18::sm18:
ENG555
2017- 5- 18, 11:22 AM
åÐÇ ÇáãáÝ ÇÛáÈ ãÍÊæì ÇáØÑÞ æÇáÚáã ÚäÏ Çááå
D Roger
2017- 5- 18, 11:26 AM
bias in research
.
.
ÔßÑÇð ...
Mss Hassan
2017- 5- 18, 11:29 AM
In the literature review it is recommended to
1 show knowledge of other models
2 sho little reading about your topic
ÇíÔ ÇáÌæÇÈ :(
ENG555
2017- 5- 18, 11:31 AM
!welcome
ÈäÏÑæÒÇ
2017- 5- 18, 11:41 AM
ÇíÔ ÇáÌæÇÈ ÇáÕÍ ¿¿¿[U][U][U]
[U][CENTER][SIZE="5"][U]
1/ Our literature review should be
A. Unconnected
B. Broad
C. Concise
_________________________
2/ A good abstract is the one
B. That tell us about the research problem, methods, results, and implications
D. That tell us about what each section in the research talks about
_________________________
3/ In the abstract
A. We use the past tense summarizing the whole thing
B. We use wording hiding the results[SIZE="6"]
C. We use wording hiding tools and instruments we used
D. We use wording that refers forward like as we shall see
_______________________________
4/In the literature review it is recommended to
A. stick to one method neglecting other
B. show knowledge of other models
C. show little reading about your topic
ØÇáÈÉ áÛÉ E
2017- 5- 18, 12:22 PM
In the literature review it is recommended to
1 show knowledge of other models
2 sho little reading about your topic
ÇíÔ ÇáÌæÇÈ :(
ÏÇÎáå ÚÔÇä ÇÈí ÇÞæáßã Úä ÓÄÇá 134
Ýí ãáÝ Çí Óíæ
ÇäÊÈåæÇ íÞæá ÇáãÑÇÌÚå ÇáÇÏÈíå ãæÕì ÈåÇ ÚßÓ ÇáÓÄÇá Çááí ÞÈá ãÇÝíå äÝÓ
æÇáÇÎÊíÇÑ Ýí ÇáãáÝ ßÇä ÌæÇÈ c æÈÚÏ ÇáÊÕÍíÍ b
æãÇÇÚÑÝ æÔ ÇáÇÕÍ áÇä Çáááí ÚÏá ÇáÓÄÇá ßÇä ßÇÊÈ ãáÇÍÙå Çä ãä ÇáÇÎØÇÁ íÌÈ ÊÌäÈåÇ Ýí ÇáãÑÇÌÚå
ÇáÇÏÈíå åí äÚÑÝ ãæÏá æÇÍÏ æáÇäÓÊÎÏã ÛíÑå
ÚÔÇä ßÐÇ ÇÎÊÇÑ b áÇäå íÞæá äÚÑÖ ãÚÑÝÊäÇ ÈÇßËÑ ãä ãæÏáÒ
Çááí ãÊÇßÏ ãä ÇáÇÌÇÈå ÇáÇÕÍ íÝíÏäÇ ÈÇááå
ØÇáÈÉ áÛÉ E
2017- 5- 18, 12:28 PM
ÇíÔ ÇáÌæÇÈ ÇáÕÍ ¿¿¿[u][u][u]
[u][center][size="5"][u]
1/ our literature review should be
a. Unconnected
b. Broad
c. ConciseåÐÇ ÇáÌæÇÇÈ íÈ Çä Êßæä ãÎÊÕÑå
_________________________
2/ a good abstract is the one
b. That tell us about the research problem, methods, results, and implications
d. That tell us about what each section in the research talks about
_________________________ÇáÌæÇÈ d áÇä ÇáÎáÇÕå ÊÎÈÑäÇ Úä ßá ÞÓã ÇíÔ Êßáã ÇáÈÇÍË Ýíå Úäå
3/ in the abstract
a. We use the past tense summarizing the whole thing
b. We use wording hiding the results[size="6"]
c. We use wording hiding tools and instruments we used
d. We use wording that refers forward like as we shall see
_______________________________ÇÎÑ æÇÍÏ Çä ÇáÎáÇÕå äÓÊÎÏã ÇáÕíÇÛå ÇáÊí ÊÔíÑ ááÇãÇã ßãÇ ÓäÑì íÚäí ÊÔíÑ ááí ÈíÞÇÈáß Ýí ÇáÈÍË
ÈãÇ ÇäåÇ ÊÌí Ýí Çæá ÇáÈÍË ÈÊÔÑÍ áß æÔ ÈÊáÞì Ýí ÇáÈÍË 😪
4/in the literature review it is recommended to
a. Stick to one method neglecting other
b. Show knowledge of other models
c. Show little reading about your topic
íÞæáæä Èí áÇäå ãæÕì ÈåÇ áÚÑÖ ãÚÑÝÊäÇ áÇßËÑ ãä ãæÏáÒ
Mss Hassan
2017- 5- 18, 12:34 PM
Well-done research abstract can
1make reader upset and never read
2 make reader want to learn more about your research
has.has
2017- 5- 18, 12:58 PM
Well-done research abstract can
1make reader upset and never read
2 make reader want to learn more about your research
Make reader want to learn more about your research
ØÇáÈÉ áÛÉ E
2017- 5- 18, 01:39 PM
ÓÄÇá 152
The cross sectional research method shows that the same groups of people observed
A-at one point in time
C-at one place and one time
Çí Óíæ ÇÎÊÇÑ ÇáÇÌÇÈå ÇáÇæáì æÇáÊÕÍíÍ ÞÇáæÇ ÇáËÇäíå æÔ ÑÇíßã
ÇÔæÝ ßáåÇ ããßä Êßæä ÕÍíÍå áßä áæ ãÚ ÈÚÖ æÔ äÎÊÇÑ¿
ÇáäåÑÇáÌÇÑí
2017- 5- 18, 01:46 PM
ãáÝ isses
ÈÚÏ ÊÕÍíÍ ÇáÃÎØÇÁ
ÇáÅÌÇÈÉ ÇáÕÍíÍÉ Çáí ãÙááÉ ÈÇáÃÕÝÑ æÇáÇ Çáí ÊÍÊå ÎØ ¿¿¿
ÃÑÌæ ÇáÑÏ
ÃÈæ ÞÕí
2017- 5- 18, 01:46 PM
ÓÄÇá 152
the cross sectional research method shows that the same groups of people observed
a-at one point in time
c-at one place and one time
Çí Óíæ ÇÎÊÇÑ ÇáÇÌÇÈå ÇáÇæáì æÇáÊÕÍíÍ ÞÇáæÇ ÇáËÇäíå æÔ ÑÇíßã
ÇÔæÝ ßáåÇ ããßä Êßæä ÕÍíÍå áßä áæ ãÚ ÈÚÖ æÔ äÎÊÇÑ¿
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2017- 5- 18, 01:48 PM
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2017- 5- 18, 01:49 PM
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2017- 5- 18, 01:50 PM
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ÇáØÇáÈ ÇáãÈÊÓã
2017- 5- 18, 01:57 PM
Çááå íÓåá ÚáíäÇ æÚáíßã
ÃÈæ ÞÕí
2017- 5- 18, 01:59 PM
if you want to compare groups over time, then your design is
a. Within groups
b. One-way anova
c. Between groups
d. Longitudinal
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í ÃÍÈÉ åÐÇ ÇáÓÄÇÇá Çááí ÍíÑ ÇáÚáãÇÁ¡¡¡ÓÈÍÇä Çááå ãÔ æÇÖÍÉ åÐå ÇáäÞØÉ Ýí ÇáãáÒãÉ ßËíÑ¡¡ íÚäí ãæ ãÝÕá ÚäåÇ ßËíÑ¡¡ãÌÑÏ ÑÄæÓ ÃÞáÇã¡¡¡¡
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GNOOSH
2017- 5- 18, 02:02 PM
Longitudinal
ÇÊæÞÚ åí áÇäæ Úáì ãÏì ÇáæÞÊ íÚäí ãæ ÝÊÑÉ æÍÏå
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2017- 5- 18, 02:05 PM
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ÚÒíÒí ÖæÁ ÇáÞãÑ åÐÇ ÓÄÇÇá ãåã æÑÏ Ýí ÃÍÏ ÇáäãÇÐÌ¡¡ÈÃä ÊÎÊÇÑ ÇáÌãáÉ ÇáÕÍíÍÉ ãä ÃÑÈÚ ÃÎÊíÇÑÇÊ¡¡¡¡ØÈÚÇ ÇáÌãáÉ ÇáÕÍíÍÉ åí¡¡
Data analysis takes place after data collection
ãÚäÇÊå ÈÚÏ ÊÌãíÚ ÇáãÚáæãÇÊ íÊã ÊÍáíá æÊÝÕíá åÐå ÇáãÚáæãÇÊ ÇáÊí ÌãÚÊ ãä ÞÈá¡¡¡¡íÚäí ÇáÌãáÉ ÇáÊí ÃäÇ ßÊÈÊåÇ ÇÐÇ ÌÊäÇ Ýí ÇáÇÎÊÈÇÑ äÍÇæá ßáäÇ äÎÊÇÑåÇ ÈÃÐä Çááå¡¡¡¡åÐå ÇáãÚáæãÉ ãæÌæÏÉ Ýí ÇáãÍÇÖÑÉ ÇáËÇäíÉ Ýí Õ5 ãä ãáÒãÉ äÞÇÁ¡¡¡¡ÃÊãäì Ãäí æÝÞÊ Ýí ÇáÇÌÇÈÉ Ú ÇáÃÓÊÝÓÇÑ¡¡¡æÝÞß Çááå:16:
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Sent from my iPhone using ãáÊÞì ÝíÕá (http://r.tapatalk.com/byo?rid=92985)
ÃÈæ ÞÕí
2017- 5- 18, 02:09 PM
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sent from my iphone using ãáÊÞì ÝíÕá (http://r.tapatalk.com/byo?rid=92985)
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ENG555
2017- 5- 18, 02:11 PM
ÇäÊÈåææææ ÇáÝÑÞ Èíä ÇáÓÄÇáíä ãÊÔÇÈåíä
50) Computers and their effects on student's achievement. The Independent variable is
a- student's achievement
b- No Independent variable
c- Computers
51) Computers and their effects on student's achievement. The dependent variable is
a- student's achievement
b- No dependent variable
c- Computers
ÇáÇÌÇÈÇÊ 50==== ÝÞÑå Independent c
51==== ÝÞÑå dependent a
Apple Pie
2017- 5- 18, 02:14 PM
One way for sample selection is
A. Population
B. Summarization
C. Randomization
D. Inflation
åÐÇ ÇáÓÄÇá ÇíÔ Íáå
Ýí ßæíÒÇÊ ÇáÍá A æÝí ßæíÒÇÊ ÇáÍá C
-PEARL-
2017- 5- 18, 02:17 PM
ÇäÊÈåææææ ÇáÝÑÞ Èíä ÇáÓÄÇáíä ãÊÔÇÈåíä
50) Computers and their effects on student's achievement. The Independent variable is
a- student's achievement
b- No Independent variable
c- Computers
51) Computers and their effects on student's achievement. The dependent variable is
a- student's achievement
b- No dependent variable
c- Computers
ÇáÇÌÇÈÇÊ 50==== ÝÞÑå Independent c
51==== ÝÞÑå dependent a
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ÏíÈäÏäÊ > ÓÊíæÏíäÊ
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2017- 5- 18, 02:45 PM
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Ãí Óí íæ æ ÃÓã ãäÊÓÈ ãÎÊÇÑíä ÇáÇÌÇÈÉ ÇáÇÎíÑÉ¡¡¡¡ÃäÊã æÔ ÑÃíßã í ÃÍÈÉ¡¡ÇáÇæáì Ãæ ÇáÇÎíÑÉ¿¿¿
ÇäÇ ÇÞæá ÇáÇÎíÑå áÇä ÇæÝÑ ÊÇíã ãËá ßáãå ÞÑæ ÇæáÏíÑ
íÛäí ãÚäÇåÇ Çä ÏÑÇÓå áãÏì ÇØæá
ÇäÇ ÇÎÊÇÑ ÇáÇÎíÑå
ØÇáÈÉ áÛÉ E
2017- 5- 18, 02:48 PM
one way for sample selection is
a. Population
b. Summarization
c. Randomization
d. Inflation
åÐÇ ÇáÓÄÇá ÇíÔ Íáå
Ýí ßæíÒÇÊ ÇáÍá a æÝí ßæíÒÇÊ ÇáÍá c
ÇáÍá ÇáÇæáì æåæ íÞæá ØÑíÞå æÇÍÏå áÇÎÐ Çæ ÖÈØ ÇáÚíäÇÊ æåí ÚÏÏ ÓßÇäí Çæ ÇÎÐ Úíäå ãä ÇáÓßÇä
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2017- 5- 18, 02:50 PM
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Ãí Óí íæ æ ÃÓã ãäÊÓÈ ãÎÊÇÑíä ÇáÇÌÇÈÉ ÇáÇÎíÑÉ¡¡¡¡ÃäÊã æÔ ÑÃíßã í ÃÍÈÉ¡¡ÇáÇæáì Ãæ ÇáÇÎíÑÉ¿¿¿
.
.
d. Longitudinal
Åä ÔÇÁÇááå ÇäåÇ ÕÍíÍÉ
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ÃÈæ ÞÕí
2017- 5- 18, 03:03 PM
.
.
D. Longitudinal
Åä ÔÇÁÇááå ÇäåÇ ÕÍíÍÉ
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2017- 5- 18, 03:11 PM
åäÇ ÑÏ ßÇÑÒãÇ Úáì ÐÇ ÇáÓÄÇá
https://vb.ckfu.org/13297962-post23.html
ÏíãÉ ãÄãä
2017- 5- 18, 03:14 PM
ÇáÍá ÇáÇæáì æåæ íÞæá ØÑíÞå æÇÍÏå áÇÎÐ Çæ ÖÈØ ÇáÚíäÇÊ æåí ÚÏÏ ÓßÇäí Çæ ÇÎÐ Úíäå ãä ÇáÓßÇä
ÔæÝæ åäÇ ÑÏ ãåã áßÇÑÒãÇ Úä ÇáÚíäÇÊ
ÇäÇ ÏææÈäí ÇÔæÝåÇ ÈÚÏ
https://vb.ckfu.org/13299392-post24.html
ÃÈæ ÞÕí
2017- 5- 18, 03:20 PM
ÇáÍá ÇáÇæáì æåæ íÞæá ØÑíÞå æÇÍÏå áÇÎÐ Çæ ÖÈØ ÇáÚíäÇÊ æåí ÚÏÏ ÓßÇäí Çæ ÇÎÐ Úíäå ãä ÇáÓßÇä
Ãí æÇááå Êæäí ÃÔæÝ ÑÏ ßÇÑÒãÇ Úáíå¡¡¡¡ãÚäÇÊå ÇáÇÌÇÈÉ C¡¡¡¡åí ÈÚÏ ãÍáæáÉ ßÐÇ ÚäÏ Ãí Óí íæ æ ÃÓã ãäÊÓÈ¡¡¡¡ÔßÑÇ ØÇáÈÉ áÛÉ æÔßÑÇ ÏíãÉ ãÄãä¡¡¡ÔßÑÇ áßã ÌãíÚÇ:106:
ãáÊÞì ØáÇÈ æØÇáÈÇÊ ÌÇãÚÉ Çáãáß ÝíÕá,ÌÇãÚÉ ÇáÏãÇã - ÚÑÖ ãÔÇÑßÉ æÇÍÏÉ - ãÐÇßÑÉ ÌãÇÚíÉ ܟ♥ ( ÇáÊÌãÚ ÇáäåÇÆí áØÑÞ ÇáÈÍË æÊÕãíã ÇáÃÈÍÇË / Ï.ÚÈÏÇááå ÇáÝÑíÏÇä - ÇáÎãíÓ 28-7-1437 ( ÝÊÑÉ Çæáì ãä 4.15 Çáì 6.15) ♥ܟ (http://vb.ckfu.org/13299392-post24.html)
reaching higher
2017- 5- 18, 03:56 PM
ÓÄÇá cross sectional.
ÇáãáÒãå ßÇÊÈ .. Çäåã äÝÓ ÇáãÌãæÚå áäÝÓ ÇáæÞÊ ..
ÈÓ ßÇÊÈ ÊÍÊåÇ .. Çä ÚíÈåÇ ãÇåí ÍÞíÞíå áÇä ÇáãÌãæÚÇÊ ÊÎÊáÝ¿.
ÇÑÇÆßã.
roselinda
2017- 5- 18, 04:03 PM
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Ãí Óí íæ æ ÃÓã ãäÊÓÈ ãÎÊÇÑíä ÇáÇÌÇÈÉ ÇáÇÎíÑÉ¡¡¡¡ÃäÊã æÔ ÑÃíßã í ÃÍÈÉ¡¡ÇáÇæáì Ãæ ÇáÇÎíÑÉ¿¿¿
ÇäÇ ÑÍ ÇÎÊÇÑ ÇáÇÌÇÈå ÇáÇæáì within groups
roselinda
2017- 5- 18, 04:05 PM
ÇäÇ ÑÍ ÇÎÊÇÑ ÇáÇÌÇÈå ÇáÇæáì within groups
f you want to compare groups over time, then your design is
a. Within groups
b. One-way anova
c. Between groups
and. Longitudinal
áÇä åäÇ ãËá ãÇÐßÑ ÈÇáãÍÇÖÑå ÇáËÇãäå
compare one group to another group we called it within group designs
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2017- 5- 18, 04:14 PM
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ØÇáÈÉ áÛÉ E
2017- 5- 18, 07:21 PM
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ÇäÇ Çááí ãÇÝåãÊ æÇáÇ ÇáÇÎÊÈÇÑ ãÏÑí ßíÝ!!!!
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