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ุจุณู
ุงููู ุงูุฑุญู
ู ุงูุฑุญูู
ุทุจุนุง ุจุนุฏ ุงูุด ุฅุฌุงุฒุฉ ูุงูุช
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ูุงู
ุชุญุงูุงุช ุงู ุจุนุฏ .. ุจุนุฏ .. ุจุนุฏ ุงู
ุชุญุงูุงุช ูุจุชุตูุฑ ุงูู
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ูุนูู ูุชู
ูู ุฅููู
ุจุชููููุง ุฌุจุชู ูููู
ุงู ุดุงุก ุงููู full
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mark ุงุญูุง ุจุงูุชุตููุฑ ุงู ุงู ุดุงุก ุงููู ูููู
ุจุชููููุง ูู
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ุงู .. ูู ุงู full mark ูุฅู ุดุงุก ุงููู ุงูุงู
ุชุญุงูุงุช ุฅุฐุง
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ุถุงููุง ุนููู
ุงู
ุชุญุงูุงุช ุชููู ูู
ุงู ุฃุญุณู ู
ู ุงููู ูุงุชุช
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ุงูููู
ููุญูู ูู ุงู research paradigms ุทุจุนุง ุงุญูุง
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ู
ุงุฒููุง ูู chapter four ูุจุนุฏ research paradigms
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ููุญูู ุนูู ุงู deductive approach but in details
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ุทุจุนุง so my .. my .. my simple question what is
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research paradigmุ ุดู ูู ุงู research paradigmุ ูู
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ุญุฏ ุจููุฏุฑ ููููู what is research paradigmุ
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ุงูุ
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research paradigm ุงููุฑู
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ุงูู
ุนุฑูู ูุนูู ูู
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ุงุญูุง ุฑุณู
ูุง ูุฐุง ุงูุดูู ูุฐุง
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ุงูุดูู ูู ุจููุณ
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ุงู research paradigm ูุนูู ุงููุฑู
ุงูู
ุนุฑูู
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which is the components of any research phenomenon
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or any research problems the components of the
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research problems ูุนูู ู
ูููุงุช ุฃู ู
ุดููุฉ ุจุญุซูุฉ ุทุจุนุง
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ุงู research paradigm ูุฐุง ุจุชููู from your
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understanding to the literature review ูุนูู ููู
ูุง
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ูู literature reviewูุฃุฏุงุด ุงุญูุง ุจูููู
research
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literature review ุฃุฏุงุด ุงุญูุง ุจูุนู
ู forming ูู
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research paradigm ุงููู ูู ุงููุฑู
ุงูู
ุนุฑูู and
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it includes your attempt on understanding the
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context of literature review different theories of
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literature review, different explanations of .. of
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your research question or research problem to link
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the research paradigm in your research ุนุดุงู ูุฑุจุท
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ุงู research paradigm ุงููู ูู ูุฐุง ู
ุน ุงู research in
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the research paradigm could be there is a gap in
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the research paradigm there is a gap ูุนูู ููู ูุฌูุฉ
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and you as a researcher coming coming to to fill
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this gap it could be this gap related to further
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understanding to a particular research problems
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further explanations or having different
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explanations for a particular research problem so
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this considered as a gap ุชู
ุงู
ุ and sometimes the
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gap is unexplained research problem ูุนูู ุจุนุถ
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ุงูุฃุดูุงุก ุงููู ุบูุฑ ู
ูุถุญุฉ ุฃู unanswered questions ุฃู
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ุฃุณุฆูุฉ ุจุญุซูุฉ ุบูุฑ ู
ุฌุงุจ ุนูููุง ุชู
ุงู
ุ so when you are
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revising the literature review you forming the
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research paradigm and you explain that some
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research questions are not answered so it's a
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contribution when you find in the research paradigm
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it is a contribution when you find some social
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research questions are not answered in
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examining the research problems as we explained
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before you can talk about the deductive or
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inductive ูุนูู ู
ู
ูู ุงุญูุง ูููู deductive
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or inductiveุ ู
ูู
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ูุญูููู what is the difference between deductive
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and inductiveุ ุดู ูู ุงููุฑู ุจูู ุงู deductive ู ุจูู
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ุงู inductiveุ ุงู ุชูุถู ุชู
ุงู
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ุงู ุงู ุงู
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in deductive we testing theory and in inductive we
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build theory ุชููููููุง
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ู
ุนูุงูุง ูุนูู okay so in deductive we testing the
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theory ูู inductive we build the theory therefore
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deductive is quantitative method it is positivist
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ููู ูู quantitative because it's related to the
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having relationship between X and Y ูุนูู ู
ู
ูู ูุฑุจุท
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ุนูุงูุฉ ุจูู X and Y ูุดูู ุงูู deductive deduction or
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deductive approach there are some stages in the
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deductive approach ูุนูู ู
ุง ุงูุชูุง ุดุงูููู ูู ุนูุฏูุง
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deciding or deducing the hypothesis developing the
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hypothesis ุจุนุฏูู expressing the hypothesis
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operationally testing the operational hypothesis
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ูุฎุชุจุฑูู
examining the specific outcomes modified in
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theory ุจุนุฏูู ูุนุฏู ุงููุฑุถูุฉ ุฎููููู ุงุดุฑุญ ูุงุญุฏุฉ ูุงุญุฏุฉ
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ูุงุดูู ููู
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ู
ู
ูู ุงุญูุง ูุนู
ู deductive approach deductive ูู
ุงู
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ู
ุฑุฉ ูู ุงุญูุง ููุฑูุง ุงู research problem ุงู ู
ุดููุฉ
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ุจุญุซูุฉ or any research question
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ูู ุงูุจุฏุงูุฉ ุจูููู ุงุญูุง ุฑุงุฌุนูุง ุงู literature review
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ุฑุงุฌุนูุง ุงูุฏุฑุงุณุงุช ุงูุณุงุจูุฉ ุตุญุ ูุจูุงุก ุนูู ุงูุฏุฑุงุณุงุช
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ุงูุณุงุจูุฉ ุจูููู ุงุญูุง ุทูุฑูุง hypothesis ูุฑุถูุงุช so
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what it means hypothesisุ ุดู ูุนูู ูุฑุถูุงุชุ ุชู
ุงู
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ุชู
ุงู
ุ ุชู
ุงู
ุ ุดู ูู
ุงูุ ุงู hypothesesุ ุงููุฑุถูุงุช ุชู
ุงู
ุ
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ุงู okay ุทูุจ ุงู hypotheses ู
ู ููู ุงุฌุชุ ุทูุน
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from the literature review ุงู hypothesis ูู ุนุจุงุฑุฉ
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ุนู ุงูุชุฑุงุถุงุช ุงูุชุฑุงุถุงุช you hypothesize the possible
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answers for the research questions ูู
ุงูุชุฑุงุถุงุช
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ูุฅุฌุงุจุงุช ูู research questions but it is in the
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context of hypothesis ููู ูู ุจcontext ุงุณู
ู
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hypothesis so the hypothesis were developed from
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the literature review ุจุชููู ุงุชุทูุฑุช ู
ู ูููุ ู
ู ุงู
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literature review the
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hypothesis doesn't mean your explanations for the
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research question okay, be careful ูุนูู ุจูุงุฎุฏ ุจุฃูู
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ุงู ุงู hypothesis ูุงู ู
ุด ูู ุงู explanations ุชุจุนุชูุง
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what the literature review what the theory what
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the theory saying about the explanation of
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research questions ูุนูู ุฅูุด ุงู theory ุญูุช theory
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it may take different forms ุงู theory ุจุชุงุฎุฏ ุนุฏุฉ
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ุฃุดูุงู it could be take models models could be
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theory could be theoremetc ูุนูู ู
ู
ูู ุชุงุฎุฏ ุนุฏุฉ
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ุฃุณู
ุงุก models, theory, theorem, lemma sometimes
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okay it depends on the jargon of your research for
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instance if you are doing research in physics or a
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pure scientific research sometimes they call it
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lemma so it's like models ุงูุขุฎุฑูู ูุณู
ูู ูุฐุง ูุธุฑููุงุ
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ูุงูุขุฎุฑูู ูุณู
ููู ู
ูุงุตูุฉ ุฃู ูุธุฑููุงุ ูุฐูู ูุจู ุฃู
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ูุชุญุฏุซ ุนู ุงูุญููุงูุงุชุ ุงูุญููุงูุงุช ูู ุชูุณูู ุงููุธุฑูุฉ ูู
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ุนุจุงุฑุฉ ุนู ุงูุดุ decomposition ุชุจุนุช ุงู theory or ุงู
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models ูุนูู ูู ุฌููุง ุงุญูุง ุฃุฎุฏูุง ู
ุซุงู ุจุณูุท ุนุดุงู to
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.. to have the hypothesis we revise the .. the
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literature review and we have different models
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sometimes we have different models answering this
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question for instance we have model 1, model 2,
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model 3, model 4 etc ู
ูุฏูู Nุ ููุฐู ุงูู
ูุฏููุงุช ุชุตู
ูู
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ุงููููุฑูุง ุนูู
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ุณุจูู ุงูู
ุซุงูุ ุฅุฐุง ููุช ุชุชุญุฏุซ ุนู ุนูุงูุฉ ุจูู ุงูู
ะพัะธะฒุงุช
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ูุงูุฅุฏุงุฑุฉุ ููุฏููุง ู
ูุฏููุงุช ู
ุฎุชููุฉ ุชุดุฑุญ ุนูุงูุฉ ุจูู
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ุงูู
ะพัะธะฒุงุช ูุงูุฅุฏุงุฑุฉุ ูุฏููุง ู
ูุฏูู
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1ุ2ุ3ุ4ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ5ุ
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you have to locate these models ุงูุชูุง ุฏูุฑูู
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ูุจุงุญุซูู ุงูู ูุง ุนุดุ ุงุชุฌูุจูุง ูุงู ุงู models okay and
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in this level your mission is not to form the
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model, be careful ูู ุงูู
ุณุชูู ุชุจุนูู
ู
ุด ุฏูุฑูู
ุงู
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ุงูุชูุง ุชุนู
ููุง ุชุทููุฑ ูู model ุฏูุฑูู
ุงูู to see what
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are the available models okay in answering the
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research question ุฎููููู ุงุชุตู ุนูู ุงูู
ุฌู
ูุนุงุช ูุจู
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ูุฐู ุงูู
ูุงุจูุฉ ููุง ูุชุญุฏุซ ุนู ุงููุธุฑูุฉ ูุฃูุง ุฃุทูุจ ู
ูู
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ู
ุงุฐุง ูู ูุธุฑูุชูุ ูุฐูู ุชุญุช ุงููุธุฑูุฉ ููุงู ู
ูุงุตูุฉ
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ู
ุฎุชููุฉ ูุฐู
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ุงูู
ูุงุตูุฉ ุชุฃุฎุฐ .. ุขุณูุฉ .. ูุจู ุฃู ูุชุญุฏุซ ุนู ุงูู Hypothesis
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ุฃูุง ุฃุชุญุฏุซ ุนู ุงูุนูุงูุฉ ุจูู ุงููุธุฑูุฉ ูุงูู
ูุงุตูุฉ ูุงูู Hypothesis
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Okay, so when you are revising the literature
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review you set the theory and within the theory
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there are different models ูู
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ุฏุงุฎู ุงููุธุฑูุฉ ูู ุฃูุซุฑ ู
ู ูู
ูุฐุฌ and the form of
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model taking
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like this ุดูู ุงูู Model ูุงูุชุงูู ููุง
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ุนูุงูุฉ ุจูู X ู ุจูู Y We have different X X1, X2,
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X3, Xm and with Y This is the model We call this
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side your left hand side is the independent
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variable
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ูุญู ูุณู
ู ูุฐุง Y ุงูู
ุชุบูุฑุงุช ุงูู
ุณุชููุฉุ ุญุณููุงุ
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ูุฐูู ูุฏููุง X1, X2, X3, X4 ู XNุ ูุฐูู ูุฐุง ูุณู
ู
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ูู Modelุ ุงูุณุคุงู
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ุงูุฑุฆูุณู ููุ ู
ู ุฃูู ูุญุตู ุนูู ูุฐุง ุงูู Modelุ ู
ู
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ุงููุธุฑูุฉุ ู
ู ุฃูู ุงููุธุฑูุฉุ ู
ู ู
ุฑุงุฌุนุฉ ุงูุฃุฏุจูุงุชุ ุงูุชุญูู
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ุงูุฃุฏุจู ูุชู
ุชุญูููู ู
ู ุฎูุงู ุงูุณุคุงู ุงูุจุญุซูุ ููุท ..
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ูุฑุญู ุงููุตุฉุ ูุฐู ุงููุตุฉ ุนู ุงูุญุตูู ุนูู ุงูู Model ูุฐู ูู
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ุงููู ู
ู ุฎูุงููุง ุงุญูุง ุจูุนุฑู ุงูู Modelุ ุญุณููุงุ ูุงูู Model
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ุฏุนููุง ูููู ุนูู ุณุจูู ุงูู
ุซุงูุ ูุฐุง ุงูู Model ูุชููู
ุนู
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ุงูู
ูุญูุฒุงุช ูุงูู
ุฏุงุฑุณุ
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ููู ูุฐู ุงูุญุงูุฉุ ุงูู Motivations is the independent
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variable and performance is the dependent variable
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so the shape of the relationship is from here to
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here it means x1 influences y, x2 influences y, x3
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influences y, xn influences y
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So the hypothesis is the decomposition of model
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ุงูู Hypothesis ุงูุด ุจุชูููุ ูู ุงูู Decomposition of
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Model ูุนูู ูู ุฌุฒุฆูุฉ ูู ุงูู Model for instance we
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can tell X1 we hypothesize that X1 have
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significant impact on Y X2 has significant impact ุนูู Y X3
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ูุฏููุง ุชุฃุซูุฑ ุนูู Y ูู
ุง ุฅูู ุฐูู ุญุชู ุงูุขู
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ูุฏููุง H1 H2 H3 ูH4 ูู ูุฐู ุงูุนูุงูุงุช ุชุดูู ุงูู Model
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ูุฐู ุงูุนูุงูุงุช ุงูุด ุจุชุดููุ ุจุชุดูู ุงูู Model and the
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curve big be careful again you are not the one in
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this level to form the model ุฏูุฑูุง ููุณ ุฃููุง
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ูุนู
ู Model ุฏูุฑูุง to find the model to locate the
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model ุฃูู ุงุญูุง ูุฌูุจ ุงูู Model ุงูู Model again is a
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part of the theory okay let's go back to the
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models ุฎููููู ูุฑุฌุน ููู
ูุฏููุงุชุ ุงูู
ูุฏููุงุช ูู
ุง ููุช
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ูุฏููุง M1, M2, M3, MNุ ููู ูุธุฑูุฉ ุงูู
ูุฏููุงุช ุฃุญูุงููุง
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ุงูู Models ุชุฎุชูู ุนู ููุณูุง ุจู
ุนูู ุงูู Responsiveness ุฃู
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ุจู
ุนูู ุงูููุฉุ ุนูู ุณุจูู ุงูู
ุซุงู M1 ูุฏููุง ููุฉ ู
ูู
ุฉ
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ูู ุชูุณูุฑ ุชุฃุซูุฑ X ุนูู Y ุนูู ุงูุฑุบู
ู
ู ุฃู M7 ููุณุช
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ูููุฉุ ูุฑุตุชู
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ุจุนุฏูุง ูู ุชูุณูุฑ ุฃููู
ุง ูู ุงูู Model ุงูุฃููู ุงูู
ูุงุณุจุฉ
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ูุฅุฌุงุจุฉ ุงูุณุคุงู ุงูุจุญุซู
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so it's your mission is not only to find the model
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but also to find which is the strongest model and
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then you have to go back to the literature review
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to find what is the appropriate model for your
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research question or research problem ุชู
ุงู
ุ ูุนูู
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ูุฌุจ ุฃู ูููู ุงูุฃูู ูู ุงูุชุฑุงุญ ุงูู Hypothesis ูุฐู ูู ุทุฑููุฉ
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ุงูุชุฑุงุญ ุงูู Hypothesis ููู ุงุญูุง ุจูุฌูุจ ุงูู Hypothesisุ ุจูุฌูุจ
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ุงููุฑุถูุงุช ู
ุฑุฉ ุฃุฎุฑูุ ููู Hypothesis ูุฏููุง ู
ุชุบูุฑุงุช ู
ุณุชููุฉ
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ูู
ุชุบูุฑุงุช ู
ุณุชููุฉ ุฅุฐุง ููุง ููุธุฑ ุฅูู ุงูู Hypothesis
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ุจูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ
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ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ
188
00:17:29,220 --> 00:17:30,660
ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ
189
00:17:30,660 --> 00:17:33,740
ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ
190
00:17:33,740 --> 00:17:37,920
ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ
191
00:17:37,920 --> 00:17:49,410
ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ูุงุญุฏุฉ ู
ุณุชุฎุฏู
ุฉ ููุฌุจ
192
00:17:49,410 --> 00:17:52,010
ุฃู ุชูุธุฑ ุฅูู ุงูู Dependent ุฃูุช ููุท ูุฏูู ูุงุญุฏ ู
ู ุงูู
193
00:17:52,010 --> 00:17:55,870
Dependent ููุงู ูุง ูู
ูููุง ุฃู ูุณุชุฎุฏู
ุฃูุซุฑ ู
ู ูุงุญุฏ
194
00:17:55,870 --> 00:18:00,250
ุฅุฐุง ููุช ุชุฑุบุจ ูู ุงุณุชุฎุฏุงู
ุฃูุซุฑ ู
ู ูุงุญุฏุ ููุฌุจ ุฃู ุชุทูุฑ
195
00:18:00,250 --> 00:18:07,710
ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ
196
00:18:07,710 --> 00:18:09,050
ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ
197
00:18:09,050 --> 00:18:09,190
ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ ู
ูุงุตูุฉ
198
00:18:09,190 --> 00:18:17,410
ู
ุฎุชููุฉ ู
ูุงุตูุฉ ู
ุฎุชููุฉ
199
00:18:17,530 --> 00:18:23,170
ูุณุชุทูุน ุฃู ูููู ุฅู ููุงู
200
00:18:23,170 --> 00:18:29,070
ุชุฃุซูุฑ ู
ูู
ูู
201
00:18:29,070 --> 00:18:39,330
X1 ุนูู Y ูู ู
ุณุชูู 5%
202
00:18:47,440 --> 00:18:55,960
this called the H1 it's called H1 we have two
203
00:18:55,960 --> 00:18:59,060
forms of writing hypothesis ูู ุนูุฏูุง ุทุฑููุชูู
204
00:18:59,060 --> 00:19:05,520
ููุชุงุจุฉ ุงูู Hypothesis ูู ุนูุฏูุง H1 and H note ูู
205
00:19:05,520 --> 00:19:11,420
ุนูุฏูุง H1 ููู ุนูุฏูุง H note ุดู ุงููุฑู ุจูู H1 ู H
206
00:19:11,420 --> 00:19:18,270
noteุ ูู ุฃุญุฏ ููุฏุฑ ูููู ููู ู
ุง ุงููุฑูุ ูุฐู H1 ุทุจ ุงูุด
207
00:19:18,270 --> 00:19:30,170
ูู H noteุ ูุนูู ูู H zeroุ ููุ ูู ูู ุงูู Hypothesis ูู
208
00:19:30,170 --> 00:19:34,510
ูู ุงูุฃุณุงุณ ูู ุงููุงุญุฏ ู
ู ุงููุตุงุชุ ูุงุ ุงูุด ุงูู .. ูู
209
00:19:34,510 --> 00:19:38,670
ูู ุงูู Hypothesis ุทุจ ู
ุง .. what is .. what is ููุ
210
00:19:38,670 --> 00:19:44,710
ู
ุธุจูุท ุงูููุงู
ุทุจ ุงูุด ุงูู .. ููุ ู
ุงุดู okay what is ..
211
00:19:44,710 --> 00:19:45,790
what is null hypothesisุ
212
00:19:48,520 --> 00:19:53,860
ุฃุฎุฐุชููุง ูููุ ูู ุงูุฅุญุตุงุก ูู ุงูุฅุญุตุงุก okay ุงู ุชู
ุงู
so
213
00:19:53,860 --> 00:19:56,820
now we bringing what is in the statistics in here
214
00:19:56,820 --> 00:20:07,740
ุทุจ
215
00:20:07,740 --> 00:20:11,660
ูู ุงูุชุฑุถูุง ุฃูู ู
ุง ููุด ุนูุงูุฉ ุดู ุจุชูููุ ุจุชููู null
216
00:20:13,500 --> 00:20:17,680
zero yes none ูุนูู ู
ู
ูู ูููู there is no
217
00:20:17,680 --> 00:20:22,640
significant impact of X on Y so it is null
218
00:20:22,640 --> 00:20:26,300
hypothesis ุฅุฐู ุงูู Null Hypothesis ุจุชุนุชุจุฑ ู
ุง ููุด
219
00:20:26,300 --> 00:20:33,700
ุนูุงูุฉ ุทุจุนุง ุงูู Null Hypothesis ู
ุง ูู ุนูุงูุฉ ุทุจุนุง
220
00:20:33,700 --> 00:20:37,900
ูุงููุฑุถ ุงูุฃุฑุถูุฉ ุงูุจุฏููุฉ ุจุชุตูุฑ ุฅูู there is ุนูุงูุฉ
221
00:20:37,900 --> 00:20:45,290
there is impact ุฅุฐู ูุฐู ุจุณู
ููุง H1 ุฅุฐุง ุงูู H-notes
222
00:20:45,290 --> 00:20:49,690
ุจูููู ุนููุง there is no significant impact of X on
223
00:20:49,690 --> 00:21:00,550
Y at 5% level ุทุจุนุงุ ุฅุฐุง ููู
ูุง ุงุญูุง ูุงู ุงูุด
224
00:21:00,550 --> 00:21:06,250
ูู ุงููุฑุถูุฉ ุงูุตูุฑูุฉ ูุงููุฑุถูุฉ ุงูุจุฏููุฉ ุงููุฑุถูุฉ
225
00:21:06,250 --> 00:21:11,540
ุงูุตูุฑูุฉ ุจุชูุชุฑุถ ูุง ููุฌุฏ ุนูุงูุฉ ุฃู ูุง ููุฌุฏ ุฃุซุฑ ุทุจุนุง
226
00:21:11,540 --> 00:21:16,900
ููู ุงููุฑุถูุฉ ุงูุจุฏููุฉ ููุฌุฏ .. ููุฌุฏ ุนูุงูุฉ ู
ู
ูู
227
00:21:16,900 --> 00:21:21,960
ุงูุนูุงูุฉ ุชููู Positive ูู
ู
ูู ุชููู Negative ุทุจุนุง
228
00:21:21,960 --> 00:21:26,100
ูู
ูู ูู
ุง ุฃุฎุฐุชู ูู ุงูุฅุญุตุงุก ูุงููุง ูููููุง ู
ุซูุง ุงูู ..
229
00:21:26,100 --> 00:21:32,300
ุงูู Mean ุจูุณุงูู ุฎู
ุณุฉ ุทุจุนุง ุฃู ูุง ูุณุงูู ุฎู
ุณุฉ ูุง ูุณุงูู
230
00:21:32,300 --> 00:21:35,740
ููู ุจูุตูุฑ Null Hypothesis ูุงููู ูุณุงูู ุจุชููู ูู
231
00:21:35,740 --> 00:21:45,980
ุงููุฑุถูุฉ ุงูุตูุฑูุฉ ุทุจุนุง ุทูุจ this is the form we
232
00:21:45,980 --> 00:21:52,200
may write the second hypothesis ู
ูู ูุญูู ุนู ุงูู
233
00:21:52,200 --> 00:21:59,870
Hypothesis ุงูุซุงูู ุงุญูุง ุฃุฎุฐูุง X1 ุนูู Y ููุง ุนุงุฑู ุงููุ
234
00:21:59,870 --> 00:22:05,350
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
235
00:22:05,350 --> 00:22:08,670
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
236
00:22:08,670 --> 00:22:11,710
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
237
00:22:11,710 --> 00:22:14,210
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
238
00:22:14,210 --> 00:22:14,450
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
239
00:22:14,450 --> 00:22:14,470
ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ ุนุงุฑู ุงููุ
240
00:22:14,470 --> 00:22:21,290
ุนุงุฑู ุงููุ ุนุงุฑู
241
00:22:21,290 --> 00:22:26,890
ุงููุ
242
00:22:29,710 --> 00:22:33,930
ุทุจ ููุชุจูุงูุง ู
ุง
243
00:22:33,930 --> 00:22:42,450
.. ุดู ูู ูุงูุ X2 and Y ุชู
ุงู
and Y ุชู
ุงู
ุทูุจ ูุฐุง
244
00:22:42,450 --> 00:22:45,930
ุจูุณู
ููุง Univariate ูู ุนูุฏูุง Multivariate
245
00:22:45,930 --> 00:22:50,690
Multivariate ูู ุงูู Model .. ุงูู Multivariate ูู ุงูู
246
00:22:50,690 --> 00:22:59,810
Model ู
ุน Y ูุนูู ูุจุงูุชุงูู ุจูุญูู ู
ุซูุง X1 ุฃู ุงูู
247
00:22:59,810 --> 00:23:06,290
Loading Factor ุชุจุน X1 ุจู X1 ุฒุงุฆุฏ ุจู X2 ุฒุงุฆุฏ ุจู X3
248
00:23:06,290 --> 00:23:20,270
ุฒุงุฆุฏ ุจู X4 ุทุจุนุง ูุฐู ุจุชููู Y ููุชุจูุง ุจุดูู ุฃูุถู Y
249
00:23:20,270 --> 00:23:25,090
ุจุชุณุงูู Y ูู ุงูู ูู ุงูุญุงูุฉ ูุฐู ุงูุด ุงูู Dependent
250
00:23:25,090 --> 00:23:32,950
ุจุชุณุงูู Alpha ุงูู Alpha ูู ุงูู Constant ุซุงุจุชุ ูุฐุง ุซุงุจุช ูู
251
00:23:32,950 --> 00:23:37,090
ูู ุงูุนูุงูุงุช ูุฃูู ูู ุฌุฒุก ุบูุฑ ู
ูุณุฑ ู
ู ุงูุนูุงูุฉ ุจูู
252
00:23:37,090 --> 00:23:45,250
independent ูุงูู independent ุฒุงุฆุฏ BX1 ุฒุงุฆุฏ BX2 ุฒุงุฆุฏ
253
00:23:45,250 --> 00:23:53,850
BX3 ุฒุงุฆุฏ BXN ุงูู B .. ุงูู B ุฅุญูุง ุจูุณู
ูู ูุฐุง ุงู
254
00:23:53,850 --> 00:23:58,400
loading factor ุงููู ูู ูู ุงูุฅุญุตุงุก ุงููู ููุชูุง ุชุนุฑููู
255
00:23:58,400 --> 00:24:03,160
ุงูู coefficient ุงูู ุฅููุ ุงูู coefficient ูุฐุง ูู
256
00:24:03,160 --> 00:24:10,780
ุงุณู
ูุง ุงูู coefficient ุฅุฐุง ุงูู model ุชุจุนูุง ุจุญูู ุฅู y
257
00:24:10,780 --> 00:24:21,200
ุจุชุชุฃุซุฑ ู
ู x1 ู ู
ู x2 ู ู
ู x3 ู ู
ู xn ุฅุฐุง ูุฐุง
258
00:24:21,200 --> 00:24:30,000
ุจูุณู
ูู dependent variable ูุนูุง ูุฏูู independent
259
00:24:30,000 --> 00:24:38,520
variables ู
ุชุบูุฑุงุช ู
ุณุชููุฉ ููุฐุง ู
ุชุบูุฑ ุชุงุจุน okay
260
00:24:38,520 --> 00:24:44,400
ุฎูุตูุง ููู ูุจุงูุชุงูู ู
ู
ูู ุฅุญูุง ููุฌู ูููู ุงู
261
00:24:44,400 --> 00:24:53,180
motivation ุงูู performance ุนููุง performance ูู
262
00:24:53,180 --> 00:25:00,710
ุงูุญุงูุฉ ูุฐู ูู independent ุจุชุชุฃุซุฑ ูู Alpha ุฒุงุฆุฏ ูู
263
00:25:00,710 --> 00:25:07,530
ุฃุฌููุง ุญูููุง ู
ุซููุง ุงูู X1 ูู ุงูู respect ูุนูู ูู ู
ุง
264
00:25:07,530 --> 00:25:12,510
ุจุฒูุฏ ุงูู respect ูู ู
ุง ุจุฒูุฏ ุงูู performance ุฒุงุฆุฏ X2
265
00:25:12,510 --> 00:25:17,470
ูู ุงูู bonuses ุชู
ุงู
266
00:25:17,470 --> 00:25:23,490
ู
ุซููุง ุงูู recognition ุฒุงุฆุฏ
267
00:25:23,490 --> 00:25:29,500
etc ูุจุงูุชุงูู ุงูู
ูุฏูู ุฅูู ูู ูุฏูู ุงูู independent
268
00:25:29,500 --> 00:25:34,960
variables ุจูุฃุซุฑูุง ุนูู ุงูู performance ููุง ูุฃุ ุทุจุนูุง
269
00:25:34,960 --> 00:25:39,520
ุงูุนูุงูุฉ ูุฏ ุชููู positive ูุฏ ุชููู negative ูุฏ ุชููู
270
00:25:39,520 --> 00:25:47,400
ุฒุงุฆุฏ ูุฏ ุชููู ููุต okay ุทูุจ ุฎูุตูุง ูุฐู ุงูู hypothesis
271
00:25:47,400 --> 00:25:51,940
after
272
00:25:51,940 --> 00:25:55,560
deducing the hypothesis ุจุฏูุง ูุนู
ู operationalizing
273
00:25:55,560 --> 00:26:02,430
ููู hypothesis ุจูุนู
ู ุฅูุดุ operationalizing ุฅูุด ูุนููุ
274
00:26:02,430 --> 00:26:08,250
ุจุฏูุง ูุญูู ูุฐู ุงูู hypothesis ูู measures ูุฅูุดุ
275
00:26:08,250 --> 00:26:19,270
measuresุ ูููุตูุง ุชู
ุงู
ุ
276
00:26:19,270 --> 00:26:22,970
ูุจุทูุนูุง
277
00:26:26,050 --> 00:26:34,290
ุฅุฐุง ุงูู hypothesis ูู ุจุชุชููู ู
ู independent .. ู
ู
278
00:26:34,290 --> 00:26:42,310
independent variable ุฒุงุฆุฏ ุงูู alpha ุฒุงุฆุฏ ุงูู .. ุงูู
279
00:26:42,310 --> 00:26:47,250
independent variables okay
280
00:26:47,250 --> 00:26:53,610
ุทูุจ for each one .. for each variable .. ูููุง
281
00:26:53,610 --> 00:26:58,400
ุจูุณู
ููู
variable ู
ุจูุณูุด variable ูุฐุง ุงุณู
ู variable
282
00:26:58,400 --> 00:27:03,080
for each variable ููู variable ุจูุงุฎุฏู ุจูุทูุนู ู
ู
283
00:27:03,080 --> 00:27:07,960
ุงูู
ุนุงุฏูุฉ ููุฌู X1 ุจูุนู
ููุง operationalizing ุจูุนู
ููุง
284
00:27:07,960 --> 00:27:15,840
ุฅูุด operationalizing ุฅุญูุง ุญูููุง ู
ุซููุง ุงูู X1 ูู
285
00:27:15,840 --> 00:27:17,840
ุนุจุงุฑุฉ ุนู ู
ุซููุง ุงูู recognition
286
00:27:23,080 --> 00:27:27,420
ููู ู
ู
ูู ูููุณ ุงูู recognition ุงููู ุจุญุงู ุฅู ุงูู
287
00:27:27,420 --> 00:27:35,560
recognition ูู X1 ููู ูููุณ ุงูู recognitionุ okay
288
00:27:35,560 --> 00:27:41,180
ุฅุญูุง
289
00:27:41,180 --> 00:27:44,060
okay ููุฃ ุฅุญูุง ูุงู ุงููุฑุถูุฉ ุจุฏูู ุชุทุจู ุงููุฑุถูุฉ ููู
290
00:27:44,060 --> 00:27:46,540
ุจุฏูู ุชุทุจู ุงููุฑุถูุฉุ ุจุฏู ุฃูุช ุชุณุชุฎุฏู
ู survey
291
00:27:46,540 --> 00:27:51,550
questionnaire ุทูุจ ุฅุญูุง ุฃูุช ูุตูุช ููุฐู ุงููุฑุถูุฉ ูู
292
00:27:51,550 --> 00:27:57,110
ูุงุญุฏุฉ ู
ู ุงูู variables ุจุฏุง ุชุชุนุฑู ุจุณ ุชุชุนุฑู ุชุนุฑูู
293
00:27:57,110 --> 00:28:00,810
ุฅุฌุฑุงุฆู ุฅุญูุง ุจูุณู
ูู ุชุนุฑูู ุฅูุดุ ุฅุฌุฑุงุฆู ูุนูู ุชุนุฑูู
294
00:28:00,810 --> 00:28:11,030
ููุฏุฑ ูููุตู ููุฏุฑ ุฅูุดุ ูููุตู ู
ุซููุง ุทูุจ ุจููุฌู ุฅุญูุง ู
295
00:28:11,030 --> 00:28:14,970
X1 ุนุดุงู
296
00:28:14,970 --> 00:28:23,020
ูููุต X1 we revisit ุฅูุด ุจูุณููุ revisit ุงููู ูู ุงูู
297
00:28:23,020 --> 00:28:27,640
literature review and we will see how the
298
00:28:27,640 --> 00:28:35,500
literature review operationalize X1 ุชู
ุงู
ุ
299
00:28:35,500 --> 00:28:40,880
not you ู
ุด ุฃูุช ููุง ุฃูุง ู
ูู ุงููู ุจูุนู
ู
300
00:28:40,880 --> 00:28:46,820
operationalizing ููู X1ุ ูู ุงูู literature review so
301
00:28:46,820 --> 00:28:51,850
you call back the literature review ูุงูุธุฑ ุฅูู ููููุฉ
302
00:28:51,850 --> 00:28:58,110
ุชุฌุงุฑุจ ุงููุชุงุจุฉ ุชููู
X1 ูู
ุซููุง ููููุฉ ุชุฌุงุฑุจ ุงููุชุงุจุฉ
303
00:28:58,110 --> 00:29:06,750
ุชููู
X2 ูู
ุซููุง ููููุฉ ุชุฌุงุฑุจ ุงููุชุงุจุฉ ุชููู
X3 ูุฃูู
304
00:29:06,750 --> 00:29:12,010
ุชุฌุงุฑุจ ูุธุฑูุฉ ุงููุฑุถูุฉ ูุนู
ู ุงุฎุชุจุงุฑ ูููุฑุถูุฉ ูุงููุธุฑูุฉ
305
00:29:12,010 --> 00:29:20,880
ุชู
ุชุทุจูููุง ูุงูู
ุฏุงูุงุช ุชู
ุชุทุจูููุง so your role just
306
00:29:20,880 --> 00:29:24,300
to bring these models with their operational
307
00:29:24,300 --> 00:29:29,900
measures and to examine them ูุงู ุดุบูุชูู
because
308
00:29:29,900 --> 00:29:34,640
you are positivist because you are deductive your
309
00:29:34,640 --> 00:29:39,560
role is to testing the already models available in
310
00:29:39,560 --> 00:29:43,240
the literature review ูุนูู ุดุบูุชูู
ุฅู ูู ุจุณ ุชุฑูุญ
311
00:29:43,240 --> 00:29:48,090
ุชุฎุชุจุฑูุง ูู
ูุฐุฌ ู
ูุฌูุฏ ูู ุงูุฏุฑุงุณุงุช ุงูุณุงุจูุฉ ูุจุงูุชุงูู
312
00:29:48,090 --> 00:29:51,190
ุฅุญูุง ุฎุทูุฉ ุฎุทูุฉ ุญูููุง ูู ุงูู
ุฑุฉ ุงููุงุชุฉ ุฅูู ูุงุฒู
313
00:29:51,190 --> 00:29:54,710
ุชุนุฑููุง ุงูู theory ุจุนุฏูู the component of theory
314
00:29:54,710 --> 00:29:58,570
could be different models ุจุนุฏูู ุจุชุงุฎุฏูุง the most
315
00:29:58,570 --> 00:30:03,630
strong model and the one is much related to your
316
00:30:03,630 --> 00:30:07,330
research problem ุจุนุฏูู ุจุชุนู
ูููู operationalizing
317
00:30:07,330 --> 00:30:11,570
ุจุนุฏูู ุจุชุนู
ูููู testing ุจุนุฏูู ุจุชุนู
ูููู ุชุญููู ูู ุฃู
ุง
318
00:30:11,570 --> 00:30:15,270
ุจุชููููุง ู
ุน ุงููุฑุถูุฉ ุฃู ุจุชุนุฏููุง ู
ุน ุงูู theory ุฃู
319
00:30:15,270 --> 00:30:19,610
ุจุชุนุฏููุง ุนูู ุงูู theory ุฃู ุจุชุฎุชุจุฑูุง ุงููุชุงุฆุฌ ุงูู theory
320
00:30:19,610 --> 00:30:26,610
ุชู
ุงู
ุ ุฅุญูุง ู
ุงุดููู ุฎุทูุฉ ุฎุทูุฉ ุตุญุ ูุงุชุฎูููุง ุฅูู ุฅุญูุง
321
00:30:26,610 --> 00:30:31,690
we don't have the theory you
322
00:30:31,690 --> 00:30:35,310
don't address the theory ูู ุฅุญูุง ู
ุด ุนุงุฑููู ุงูู
323
00:30:35,310 --> 00:30:42,590
theory and and the theory is is is hidden and it
324
00:30:42,590 --> 00:30:49,610
is available but your skills as a researcher is
325
00:30:49,610 --> 00:30:55,190
enable you to find the theory ูุงู ุงูู
ุดููุฉ ุฅู ุฃูุชู
326
00:30:55,190 --> 00:30:58,890
ู
ุด ูุงุฏุฑูู ูุจุงูุชุงูู let's connect with the research
327
00:30:58,890 --> 00:31:02,990
paradigm you are searching things not related to
328
00:31:02,990 --> 00:31:07,290
the research paradigm ูุฃู ุงูู research paradigm ูู
329
00:31:07,290 --> 00:31:12,910
ุจูุดูู ุงูู theories ูููุง ุชู
ุงู
ุงููู ุจุชุนู
ู explanation
330
00:31:12,910 --> 00:31:17,710
ูู ุงูู social phenomenon ููู
ูุง ููู ุนุดุงู ูุฑูุจ ุงูู
331
00:31:17,710 --> 00:31:20,450
research paradigm ุฅุฐุง ุงูู research paradigm ุงููู
332
00:31:20,450 --> 00:31:28,580
ุดุฑุญูุงูุง to connect ูู ู
ุฌู
ูุน ุงูู theories ู
ูุฌูุฏุฉ ู ุงูู
333
00:31:28,580 --> 00:31:31,080
theories ู
ูุฌูุฏ ูููุง models ู ุงูู models ูููู
334
00:31:31,080 --> 00:31:36,040
hypothesis ู ุงูู hypothesis ูููู
operational ูุฃูู
335
00:31:36,040 --> 00:31:39,660
ุดูุก ูุงุฒู
ุฃูุชู ุชุนุฑููุง ูู
ูุงุด ุงูู theories ู ุฃู
336
00:31:39,660 --> 00:31:43,260
theory ุฃูุชู ูุชุดุชุบููุง ุนูููุง ู ุฃู model ุฅู ุฃูุชู
337
00:31:43,260 --> 00:31:45,860
ูุชุดุชุบููุง ุจูู so we have different layers of
338
00:31:45,860 --> 00:31:49,440
explanations ูููุง ุฃูุชุฑ ู
ู ุทุจูุฉ ุจุฏูุง ูุญูู ูููุง
339
00:31:49,440 --> 00:31:51,960
ุทุจุนูุงุ
340
00:31:54,870 --> 00:31:58,690
so again deducing a hypothesis ุดููุงูุง ููู
341
00:31:58,690 --> 00:32:04,890
expressing the hypothesis operationally ููู ุจูุญูู
342
00:32:04,890 --> 00:32:10,730
ุงูู concepts ุงููู ู
ูุฌูุฏุฉ ููุง ููู ุจูุญูููุง ูู measures
343
00:32:10,730 --> 00:32:14,550
ูู
ูุงููุณ ูุนูู ูู
ุง ุฅุญูุง ููุฌู ูุญูู ุน ุงูู recognition
344
00:32:14,550 --> 00:32:18,810
recognition ูู
ุง ููุฌู ูุญูู ุนูู ุงูู respect ูู
ุง ูุญูู
345
00:32:18,810 --> 00:32:25,510
ู
ุซููุง ุนูู ุงูู motivation ู
ู
ูู ูููู bonuses ุชุนุฑูู ู
ุซููุง
346
00:32:25,510 --> 00:32:32,450
bonuses etc ููู ูุงุญุฏุฉ ู
ู ูุฏูู ุจุฏูุง ูุนุฑู how we
347
00:32:32,450 --> 00:32:38,690
measure them ูุจุงูุชุงูู your role is to find the
348
00:32:38,690 --> 00:32:43,310
model related to your recession question then to
349
00:32:43,310 --> 00:32:48,250
develop the hypothesis then to define the
350
00:32:48,250 --> 00:32:50,270
variables operationally
351
00:32:52,620 --> 00:32:57,220
and after that you have the questionnaire ูุจุงูุชุงูู
352
00:32:57,220 --> 00:33:02,600
ูู ุฅุญูุง ุณุฃููุง what is the questionnaire ุฅูุด
353
00:33:02,600 --> 00:33:05,720
ูู ุงูู questionnaire ูู ุงูุญุงูุฉ ูุฐู or ุงูู survey ุงูู
354
00:33:05,720 --> 00:33:12,960
survey then is a reflection or is a test tool for
355
00:33:12,960 --> 00:33:18,320
the hypothesis ูุนุจุงุฑุฉ ุนู ุฃุฏุงุฉ ุงุฎุชุจุงุฑ ูู
ูุ ููู
356
00:33:18,320 --> 00:33:21,890
hypothesis ุทุจ ุดู ูู
ุงูู hypothesisุ ูู ุนูุฏู
357
00:33:21,890 --> 00:33:24,010
dependent variables ู ูู ุนูุฏู independent
358
00:33:24,010 --> 00:33:27,310
variables ุดูููุง ููู ููู ุฅุญูุง ูุตููุง ููู survey
359
00:33:27,310 --> 00:33:33,570
ุงุชุฎูููุง ูู
ุฑุฉ you don't have the hypothesis ู ูุง
360
00:33:33,570 --> 00:33:36,390
ูุฃุ ูุนูู ูู ู
ุงุนูุงุด ูุฑู
ู ุงูู hypothesis ููู ุจูุฑูุญ
361
00:33:36,390 --> 00:33:46,350
ุฅุญูุงุ ุฃู ุฑุงููู ุทุจ ุงุชุฎูููุง ูู ู
ุงุนูุงุด theory ุงู
362
00:33:46,350 --> 00:33:47,350
ู ูุง ูุฃุ
363
00:33:49,980 --> 00:33:55,580
ูุงู ู
ุจุณูุทูู ุฃูุชุฑ ุทูุจ ูู ุจุงูุธุจุท ุฒู ู
ุง ุฅุญูุง ูุฌูุจ ูุฑุฉ
364
00:33:55,580 --> 00:33:59,660
ุฅุญูุง ุฃู
ุงู
ุณุคุงููู ูู
ุง ูุฏุฎู ุงูู literature review ูู
365
00:33:59,660 --> 00:34:03,660
ุงููุฑุฉ ู
ูุฌูุฏุฉ ูู ุงูุตู ู ูุง ูุฃุ ุงููุฑุฉ ู
ูุฌูุฏุฉ ุจุณ it's
366
00:34:03,660 --> 00:34:13,720
hidden your skills ุฅู ุฃูุช ุชู locate ูุจู ูุงู
ููู
ููุช
367
00:34:13,720 --> 00:34:18,240
ุจุชูุฑุฌ ุนูู ุงูู discovery channel ูู ุงูู discovery channel
368
00:34:18,240 --> 00:34:23,480
ุงููู ุฃุฑูุฏ ูููู ุงููุฑู ุจูู ุงูู expert people ู ุงูู non
369
00:34:23,480 --> 00:34:28,960
expert people ูู ุฑุฌู ู ุฒูุฌุชู they are doing
370
00:34:28,960 --> 00:34:32,480
voluntary job ุจูุนู
ููุง voluntary jobs ุฅูุด ุงูู
371
00:34:32,480 --> 00:34:36,420
voluntary job ุชุจุนูู
ุ ุจุชุนุฑู ู
ุซููุง ูู ู
ุฏููุฉ ุฒู
372
00:34:36,420 --> 00:34:41,440
ู
ุงูุดุณุชุฑ ุฃู Liverpool ุฃู ูู ุงูู
ูุงุทู ุงููู ูููุง ุฃุญุฑุงุด
373
00:34:41,440 --> 00:34:47,630
ุจุชูุชุฑ ุซุนุงุจูู ููู
ุฉ ุงูุฑุงุฌู ูุฒูุฌุชู ุฅู ูู
ูุณุงุนุฏูุง
374
00:34:47,630 --> 00:34:53,730
ุงูุณูุงู ุฅู ูู
ูู ุญุงูุฉ ู
ุซููุง ุงูุซุนุงุจูู ููุฌู ูู ุจูุชูู
375
00:34:53,730 --> 00:34:57,930
ุฃู ููุฌู ู
ุซููุง ูู ุงูู .. ูู ุงูู garden ุณุจุนุชูู
ุฅู ูู
376
00:34:57,930 --> 00:35:02,810
ูุชุตููุง ุนูููู
ููู
ูุณุงุนุฏููู
ู
ุด ูุชุฎูุตูุง ูุนูู ุฒู ู
ุง
377
00:35:02,810 --> 00:35:05,450
ุจูุญููุง to save the life of people and to save the
378
00:35:05,450 --> 00:35:10,410
snakes ุฃูู ูุญุงูุธูุง ุนูู ุญูุงุฉ ุงูุซุนุงุจูู ููุญุงูุธูุง ุนูู
379
00:35:10,410 --> 00:35:16,570
ุญูุงุฉ ุงูุณูุงู it's.. it's a dilemma ูุนูู ู
ุนุถูุฉ ุทูุจ
380
00:35:16,570 --> 00:35:20,930
ุนุดุงู ูุนู
ู connection ู
ุน ุงูู .. ุงูู .. ุงูุฑุฌุงู ุจูููู
381
00:35:20,930 --> 00:35:24,410
ูุงุญุฏุฉ ุทุจุนุง ุจูุฌูุจูุง ุฃูุซุฑ ู
ู ุงูู
ุดุงูุฏุฉ ุฏุฎู ุงูุชุนุจุงู ูู
382
00:35:24,410 --> 00:35:29,110
ุงููุฑุงุด ุจูููู ุฃูุง I hear something ุงุณู
ูุง ุฃูุดุ ุจุณ..
383
00:35:29,110 --> 00:35:36,100
ุจุณ ุจูุชุด ู
ุด ู
ูุงูู ูุงุชุตู ูู ุงูุบุฌู ูุฒูุฌุชู ูุฃุฌูุงุจุณ ูู
384
00:35:36,100 --> 00:35:41,300
ููู ุจุชุทูุนูุง ูู ุงูู .. ูู ุงูู garage ุนูู ุทูู ูุนูู ู
ู
385
00:35:41,300 --> 00:35:45,020
ุฎูุงู ุฎุจุฑุชูู
they locate where is the snakes ุนุฑููุง
386
00:35:45,020 --> 00:35:49,320
ููู ุจุงูุธุจุท ููู
ู they have a particular tool ู
387
00:35:49,320 --> 00:35:55,080
particular treatment how to treat the.. the
388
00:35:55,080 --> 00:35:58,460
snakes ูุนูู ููู ูู
.. ููู ูู
ูุณุงุนุฏูุง ูุนูู.. ูุนูู
389
00:35:58,460 --> 00:36:03,100
ูู ูู ุงูุชุตููุฑ ุงููู ุฌุงุจูู ุงูุซุนุจุงู ู
ุง ูุงุฌุจูุง ุงูุฑุฌู ู
390
00:36:03,100 --> 00:36:09,400
ุฒูุฌุชู ูุฃูู ุนูุฏูู
ุฎุจุฑุฉ ูุนูู ุงุชุฎูููุง ุฃูู ุฃูุชู
ูุฑุงุฌ
391
00:36:09,400 --> 00:36:14,280
ู
ูุงู ูู ุฃุบุฑุงุถ ูู
ูุงู ูู.. ูู.. ุงุชุฎูู ุนูุฏููุง ุฃููุฏ
392
00:36:14,280 --> 00:36:19,900
ูุฑุงุฌ ููู ุจุชููู messy ุงุชุฎูููุง ู
ุซูุง ุฎุงุตุฉ ุงูุฎุชูุฑุฉ
393
00:36:19,900 --> 00:36:28,820
ุจูููู ุนูุฏูู
.. ุจูุญุชูุธูุง ุจุฃุดูุงุก ุฌุฏูุฏุฉ ูุนููุด ูุนููุด
394
00:36:28,820 --> 00:36:37,040
ูุนููุด ุงุชุฎูููุง ูุฐุง ุงููุนููุด ูุชูุฑุฉ ุงู snacks ู
ูุฌูุฏุ
395
00:36:37,040 --> 00:36:41,800
ุงูุซุนุจุงู ู
ูุฌูุฏุ ุจุณ ุฃูุช as a young lady you don't
396
00:36:41,800 --> 00:36:46,640
knowุ ุจุณ the experts they knowุ ุฅุฐุง ููุณ ุงู theoryุ
397
00:36:46,640 --> 00:36:50,520
ุงู theory ูู ู
ูุฌูุฏุฉ ูู ู
ูุงู ู
ุงุ ุจุณ you don't claim
398
00:36:50,520 --> 00:36:55,100
ุฃู there is no theory ู
ุง ุจุชูุฏุฑูุด ุชุฏุนู ุฃูู ู
ุง ููุด
399
00:36:55,100 --> 00:36:59,900
theory ุจุชูุฏุฑู ุชุฏุนู ุจูุชุงุด ูู
ุง ุฃูู ุฃูุช ูุนูู you
400
00:36:59,900 --> 00:37:04,060
exhausted and you use all of the skills and you
401
00:37:04,060 --> 00:37:08,800
asking the expert and you consult people then if
402
00:37:08,800 --> 00:37:13,120
all of these people claim there is no explanation
403
00:37:13,120 --> 00:37:16,740
for your essential problem then you can build the
404
00:37:16,740 --> 00:37:22,220
theory ุฒู ูุตุฉ ุงูุซุนุจุงูุ ุงูุซุนุจุงู ู
ูุฌูุฏ ุญุณุจ ุงูุญููุฉ
405
00:37:22,220 --> 00:37:27,310
ุชุจุน ุงูู .. ุงู ุงูุฑุงุฌู ูู
ุงุฑุชู ูุฐุง ูุนูู ุญุชู ูุงุญุฏุฉ ู
ู
406
00:37:27,310 --> 00:37:32,810
ุงูุบุฑุงุฆุจ ุงููู ุฃูุง ุดููุชูุง ูุงุญุฏ ู
ู ุงูุงุฎุชูุงุฑูุฉ ูู ุดุงู
407
00:37:32,810 --> 00:37:38,750
ุชุนุจุงู ูุฑุงุญ ุฑู
ู ุนููู ุฅุดู ูุงูุฌุฑุญุด ุชุนุจุงูู ุงุชุฎุจู ูุงุณุชุตู
408
00:37:38,750 --> 00:37:42,670
ูู ุงูุฑุงุฌู ูุฒูุฌุชู ูุงุฌุฃู ูุฌุงุจู ู
ุง ูุดูููุง ุงูุซุนุจุงู
409
00:37:42,670 --> 00:37:46,810
ุฌุงูุณ.. ุฌุงุจู ู
ุง ูุดูููู ูุงุดุจุญูุง ุจูููููุง ุฃูู ู
ู
410
00:37:46,810 --> 00:37:53,890
ุงูุตูุช ุฃู ุงูุซุนุจุงู ูุนูู ู
ุง ุงุณู
ู.. ุฒุนูุงู ุฃู ุฃูุด ูุนูู
411
00:37:53,890 --> 00:38:00,210
ู
ุบูู ุฎุงุทุฑู ูุนูู ู
ุถุฑูุจ ูุนุดุงู ููู we should be
412
00:38:00,210 --> 00:38:04,310
careful with him ูุนุดุงู ููู ูุงุฒู
ุงุญูุง ูููู ุฃูุดุ
413
00:38:04,860 --> 00:38:11,480
ุญุฐุฑูู ู
ูู ููุนูุง ูุนุฏูุง ูุนุงูุฌูู ุชู
ุงู
ูุฑุชุจูุง ูู
414
00:38:11,480 --> 00:38:16,520
ูุจุฑู ููุงูููู enjoy ูููุ
415
00:38:16,520 --> 00:38:24,540
ุดู ุจูุณุชููุฏูุงุ ูุงุณ ุจูุณุชููุฏูุง ุญูุงุชูู
416
00:38:24,540 --> 00:38:30,740
ููู ุจุงูุนูุณ ูุฏูู ุจูุณุชููุฏูุง ู
ููู
ูู business ูุนูู ุฃููุง
417
00:38:30,740 --> 00:38:33,700
ู
ุซูุง ู
ู
ูู ุชุณุชุฎุฏู
ู ุงูุซุนุจุงู ู
ุซูุง ูุฌููุฏ ู
ู
ูู
418
00:38:33,700 --> 00:38:37,140
ุชุณุชุฎุฏู
ููุง ูููุน ู
ู ุฃููุงุน ุงูุฃุฏููุฉ ู
ู
ูู ุชุณุชุฎุฏู
ููุง
419
00:38:37,140 --> 00:38:42,680
ูุชูุฑ ูู value chain ููุซุนุงุจูู ูู ุงูุงุณุชุฎุฏุงู
ูุนูู ุญุชู
420
00:38:42,680 --> 00:38:45,640
ูุงุญุฏ ุตุงุฏูุง ููุน ู
ู ุงูุซุนุจุงู ูุงู this is a very
421
00:38:45,640 --> 00:38:50,240
expensive very very expensive ูุฃูู ุจูุณุชุฎุฏู
ูู ุจุฅูุดุ
422
00:38:50,240 --> 00:38:55,300
ููุง ุฐูุฑููุง ูู ุงูู leather ูู ุงูุฌููุฏ ุจูุณุชุฎุฏู
ูู ูู
423
00:38:55,300 --> 00:39:02,640
ุงูุฌููุฏ ุงูุฌููุฏ ุงูู .. ูุนูู ุงูู shoes ูู
ู ุฃุบูู ุงูุฃุญุฐูุฉ
424
00:39:02,640 --> 00:39:06,520
ุงูู
ูุฌูุฏุฉ ู
ู ุงููุนุงุจูู ูู
ู ุฌูุฏ ุงููู
ูุฑ ูุนูู it's a
425
00:39:06,520 --> 00:39:11,840
business ุตุฑุงุญุฉ ูู
ู
ุง ุจูุงุฎุฏูู ุจุงูุจูุงุด ููู ููู ุฅูู
426
00:39:11,840 --> 00:39:18,920
business ุจู
ูุจููุฉ ูุนูู ุจุงูุธุจุท ุชู
ุงู
ุ so what I want
427
00:39:18,920 --> 00:39:23,590
to conclude in this meeting ุฃูู you should go
428
00:39:23,590 --> 00:39:26,650
through the.. the.. the five sequential stages
429
00:39:26,650 --> 00:39:32,330
you cannot start by this before this ุฎุฏ ุจุงููู
it's
430
00:39:32,330 --> 00:39:40,150
sequential ุชุชุงุจุน ุจูุจุฏุฃ ุจุชุทููุฑ ุงููุฑุถูุงุช ุงููุญุธุฉ did
431
00:39:40,150 --> 00:39:45,820
huesing ุงุณุชูุจุงุท ุงููุฑุถูุงุช ูุฃู ุงููุฑุถูุงุช ู
ูุฌูุฏุฉ ุจุนุฏูู
432
00:39:45,820 --> 00:39:48,200
expressing the hypothesis operationalุ ุจุนุฏูู
433
00:39:48,200 --> 00:39:51,660
ุจูุนู
ููุง testingุ examiningุ ุงู examining ูู ูุฏุฎู
434
00:39:51,660 --> 00:39:54,860
ูู ู
ูุถูุน ุฃูุดุ ุงู surveyุ ุงู questionnaireุ ุจุนุฏูู
435
00:39:54,860 --> 00:39:58,500
ุจูุนู
ู modifying ูู theoryุ ูู ุงุญูุง ู
ุน ุงููุฑุถูุฉุ ู
ุน
436
00:39:58,500 --> 00:40:01,840
ุงู explanation ููุง ุงุญูุง ู
ุด ู
ุน ุงู explanationsุ
437
00:40:01,840 --> 00:40:06,500
ุชู
ุงู
ุ ุจุดูู ุณุฑูุน explaining causal relationship
438
00:40:06,500 --> 00:40:09,640
between variables ุญูููุง ูููุง establishing control
439
00:40:09,640 --> 00:40:13,120
for testing hypothesis ุจุนุถ ุงู control ุจูุนู
ู ู
ุซูุง
440
00:40:13,120 --> 00:40:18,360
ู
ู
ูู ูููู ูุฑู ุจูู ุงู male ู ุงู female ููู ุจูุณู
ููุง
441
00:40:18,360 --> 00:40:22,620
control variables ู
ู
ูู ูููู ูุฑู ูู ุงูู
ูุงุทู ุงููู
442
00:40:22,620 --> 00:40:28,080
ุจูุณู
ููุง demographic ุงูุงูุชูุงู ู
ู ุงูู
ุญูู ูููู ุฃููุง
443
00:40:28,080 --> 00:40:31,640
ู
ุณุชูููู ุนู ุงูุจุงุญุซุ ุงูู concepts operationalize for
444
00:40:31,640 --> 00:40:35,660
quantitative measuresุ ูู ุงู concepts ุจูุนุฑูู ู
445
00:40:35,660 --> 00:40:38,700
ุจูุฌูุณูุ generalizationุ ูุจุนุฏูู ุจูุนู
ู
ุงููุชุงุฆุฌุ
446
00:40:38,700 --> 00:40:45,980
ุงูู
ุทููุจ ู
ููู
in your research first your hands on
447
00:40:45,980 --> 00:40:52,540
the theoryุ then you revise the models you take one
448
00:40:52,540 --> 00:40:57,020
model ุชุงุฎุฏูุง model ูุงุญุฏ ุจุณ and you break down the
449
00:40:57,020 --> 00:41:02,620
models into hypotheses ุชู
ุงู
ุ ุงูุงุดู ู
ูุฌูุฏ ุจุณ
450
00:41:02,620 --> 00:41:07,080
ู
ูู
ุชููุง ุฒู ู
ุง ุงุญูุง ุญูููุง ูู ุงูู
ุซุงู ุงูุชุนุจุฆุฉ ู
ูุฌูุฏุฉ
451
00:41:07,080 --> 00:41:11,220
ูู ู
ูุงููุง ุงููุฑุฉ ู
ูุฌูุฏุฉ ูู ู
ูุงููุง ุจุณ ู
ุง ุนูููู
452
00:41:11,220 --> 00:41:16,760
ุชุฌูุจููุง ุชู
ุงู
ุ ู
ุด ู
ูุฑูุถ ู
ููู
ูู
ุงู ู
ุฑุฉ ุฃู ุฃูุชู
453
00:41:16,760 --> 00:41:20,820
ุชุทูุฑูุง ุงู model ู
ุด ุดุบููู
ู
ุด ุดุบูุชูู
ุฃูุชู
ุชุทูุฑูุง ุงู
454
00:41:20,820 --> 00:41:24,740
model you are not developing the model you are
455
00:41:24,740 --> 00:41:28,740
finding the model appropriate for your research
456
00:41:28,740 --> 00:41:35,160
equation ุชู
ุงู
ุ ุงููู
ูุง ุฃูุด ุงูุฎุทูุงุชุ ูู
ุงู ู
ุฑุฉ ุจุฐูุฑูู
457
00:41:35,160 --> 00:41:38,720
ุนุดุงู ู
ุง ุชูุณูุด ุงู theory ุงูู
ูุฑูุถ ุฃูุชู
ุนุงุฑููู ุฃู
458
00:41:38,720 --> 00:41:43,620
ุณุฃููู
ูููุง ูู ุงูุงู
ุชุญุงู next step what are the
459
00:41:43,620 --> 00:41:49,300
available modelsุ ูุงู what are the hypotheses ุชูุงุชุฉ
460
00:41:49,300 --> 00:41:55,080
what are the variables ุจุนุฏูู ุจูุฌูุฒููู
meeting ุจุฑูู
461
00:41:55,080 --> 00:42:00,640
next week ูู ู
ุฌู
ูุนุฉ ุจุฏู ุชุญูู ุงู story ุชุจุนุชูุง ุงู
462
00:42:00,640 --> 00:42:06,600
model ู ุงู hypothesis ู ุงู variables ุชู
ุงู
ุ ูุนุทููู
463
00:42:06,600 --> 00:42:14,400
ุงูุนุงููุฉ ูุดูุฑุง ูุตุจุฑูู
ู
ุนูุง ู enjoy in your exams ุฅู
464
00:42:14,400 --> 00:42:15,980
ุดุงุก ุงููู ุงูุฅุฌุงุจุงุช ุชููู ุทูุจุฉ
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