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Samenvatting

Summary Research Methods / Methodology 1 - Year 1, Period 1 - English

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This pdf is a visual and concise summary of the Research Methods / Methodology 1 course at the Vrije Universiteit van Amsterdam (VU) for the English psychology track (But may also be helpful for Dutch students). Includes information from the book and the lectures (note: not of the extra online syllabus). Personally I learn way better when things are visualized and in neat lists instead of learning by reading pages of text or chaotic lecture slides. If you prefer that way of learning as well, then this summary is for you! Hope it helps and good luck :) Dutch: Deze pdf is een visuele samenvatting van het vak Methodologie 1 aan de Vrije Universiteit van Amsterdam (VU) voor de Engelse psychologie opleiding. Het bevat informatie vanuit het boek en de hoorcolleges (Belangrijk: niet de extra syllabus). Veel succes met leren!

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Documentinformatie

Heel boek samengevat?
Nee
Wat is er van het boek samengevat?
All pages that were given as literature for the exam
Geüpload op
11 november 2019
Aantal pagina's
31
Geschreven in
2019/2020
Type
Samenvatting

Voorbeeld van de inhoud

HCl : Philosophy of science

Division of Sciences -
arts ( literature ,
law
,
communication )

science
-


: natural
,
social & formal ( formal does not depend on empirical observations )


The scientific method uses both



empirical =
collection of data (facts ) using ,
evidence from the senses as a basis for conclusions


formal =
correct reasoning (conclusions) based on data




Commonalities between the consumer & the producer of science

→ when planning research you study works of those before
,
you
both




%Fedobseeua.c
→ Roles require curiosity
Athens : primarily theoretical


foofcajmombu.sn?Yaeaition7s
share commitment



amteoxdaan.de?e:na?7fgroiI?.es!obgse7e!
→ a to practice empiricism .
.




History of science →
theory predicts data
,
data supports

theory s through testing


① Plato -0
Strong Rationalism ,
no empiricism ③ Aristotle →
strong rationalism
,
some empiricism but not
systematic

theory of ideas To •
knowledge comes from ideas but also observations


Observations must be mistrusted • deduction = deduce new knowledge from certain truths


new knowledge by Reasoning from ideas induction generalize from observations
• • ⇐




f.
④ Alexandria (Egypt)
-
-
o
strong empiricism ,
no rationalism ③ Alexander
-
the great =
Conquerer of mainly asia &
egypt
new centre of science AT Hellenism of Greek 9
spreading culture
• •
-
o



careful observations ,
no focus on explanations

to
⑤ ⇐
Usptolemy ( almagest book)
⑧ htohammed ( islamic civilization)

• Said the sun & planets orbit earth in perfect circles •
Adopted ideas
by greeks t Hellenist s
-138
observations in consisted explained with elipses

were -0 •
Transplanting t
enriching Athenian t Alexandrian knowledge
( earth middle)
geocentric solar system as Made contributions to
(nr )

positional numeral

new
system .
O




&
⑧ Scientific
-
revolution G Goos ) ⑦ European
-
medieval period



Strong Re -
evaluation of natural
philosophy Athenian,

early =
knowledge based on the bible


Importance of observation from Alexandria ) BEG • late =
Rediscovery of aristotle when Arabic culture spread


mathematical ion of Reality (algebra from Islam ) •
Thomas Aquinas - b Reconciliation between aristotle t bible

• tech development ( telescope + microscope ) t book
printing



④ Copernicus
of ④ EQUI

Saw Copernicus was right
-




• introduced heliocentric solar system -
Bp o
experimentation (systemic manipulation)
but careful about spreading it

accurate observations t mathematicalion


.
l
④ Newton ( princip
-
a book
'

-
④ Johannes
-
Kepler
*
-



based on accurate astronomical observations •
discovered the orbit around the sun was elliptical

described a formal theory that fitted all Recent observations
→ silenced all critics scientific revolution complete
,

,Practices of empiricists -

o the theory - data
cycle ( predict ,
collect ,
test
,
update)


theory = a set of statements describing general principles about how variables Relate .






hypothesis = a prediction of the specific expected outcome if the theory is correct (situational )
data set of observations that support challenge the hypothesis 1 theory

= or




theory a Good




÷:aese
theories are
ok -




f Rec supported data (preferably
by large quantity evidence


& of
a
variety
.




§

Research questions •
falsifiable = a
theory must lead to an
hypothesis that could fail to support
* I




÷:÷÷÷÷÷÷÷:÷÷÷÷÷
+nannies.
. .




a



§ hypothesis e
-
O scientists evaluate theories based on the
weight of the evidence
"
t
support
data non




The method be used for both applied & basic Research :
empirical can



Basic
-
research Translational Research Applied Research
& T
e
T
g



goal is to enhance uses lessons from basic •
practical problems
apt
Research to develop &
general knowledge . conducted in Real
test the applications world contexts
may be applied

IRL


Later on




-
#


- .




Scientific sources
Publication process ( peer-Reviewed journals)
-




÷÷÷÷::÷÷÷:÷÷÷÷÷÷÷÷÷÷÷:÷÷÷÷÷÷:
① Researcher submits a manuscript to suitable journal




÷:÷÷÷÷÷÷÷÷:÷÷÷÷÷÷÷÷÷::
Conditional on minor revision ,
immediate acceptance

→ find original sources t be skeptical ④ author revises a Resubmits

-



-




Don 't base belief upon experience •
no control group

too many confounds o Confederate = actor for the experiment

but behavioral research is probabilistic = findings don't explain cases all the time




5examplesofbiasedthink.in#



/: thinning
① accepting a conclusion bc it makes sense / feels natural (believing a
good story)


:c. :a:::÷ :c:: . en
:: ::÷÷ :::: ::÷::÷:::::÷i ::c:
④ Bias blind spot = the belief we're
unlikely to fall to
prey
of
being biased ourselves
-









/
Pseudoscience -




B dare ma cation criteria of science




/
( order Scheider de )

PI!!: Jase: OY !! is!a%
"

:
observation y systematic empiricism ( unbiased observation

Resistance against scientific research 2) testable theories & hypotheses (falsifiable t data >
theory )


ignore I deny counter evidence 3) publicly ( peer
-
accessible Reviewed journal )

,: ÷:÷:÷÷:÷÷÷÷:÷÷::÷ ÷÷÷i÷ ÷:÷
:::÷::::::i..n↳..
Components of an em Peri cat journal article Fundamental assumptions of science


the existence ol a true (material) Reality

① abstract
:::::::m÷:÷÷::::::÷: : :::
.
. ' "



② Introduction -0 1St
paragraph : explains topic of the study

the discovered order is never final

2nd :
lays out the background for the research

3Rd : States specific Research
questions goals ,
t
hypotheses Reality & Construct in science

③ Method -0 explains in detail how the study was conducted
Reality = observable -
P data d Results




÷ : i:÷÷÷÷÷÷÷i÷÷÷÷:÷÷:÷ ÷ ÷i÷ ÷ ÷ ÷ ÷ ÷
2 discusses the study 's importance
.



Induction : from the observable data we induce
3. MAY discuss alternative explanations for the data
a non -
observable construct


⑥ References = full bibliographic list of all the sources


Hypothesis = a testable explanation ol a

-




T
I




phenomenon not
directly observable
I
↳ to test ,




weh-aueaniaaowha.my
-




a
hypothesis a prediction must
y
be derived from tailored to
explain the data leading to -


I
it a




#
,


"


f. £,
specific situation




"" "


!
II: : :::::: : : :*:
' '




prediction supports
.. . .. . . 1 Theory =
System of logically coherent constructs
/
I statements about a certain of
the
hypothesis l
area
Reality
l supported by data no contradictions
-




,




, qq.n.mg?gg;..ea,.,pa...,,y,.*
g÷g;÷,qy÷;÷,← wy.a.au.a.m.a.aa.apa.gg
.



for I falsifiable
the
hypothesis for a concrete situation

#
bold predictions ( good Theories ) -


l -




Verification vs falsification
data inconsistent with the prediction = falsification →
hypothesis is not true


BUT if the data is with the prediction its verified conditional
consistent we
Cannae say D
arguments
-



,




valid invalid invalid valid

confirmation of the ante cent Imp ) confirmation or the consequent derail of the ante cent derail of the consequent ( Mt )




1 I 2 are premises ( aannamens ) d are assumed to be true .
3 is the valid or invalid logical conclusion

, So how do we
verify a
hypothesis ? H -


-
a true hypothesis
~H= an untrue
hypothesis


I
hot




§
~ =




Ifethehebproeta.h.es?oni?s9oYreata
1-
true true
'
1 if hypothesis then
'


. prediction


.




2 Prediction is true
2.thepreaictionisnoLCOR.pe#
.




-




3 r so does that mean the
yhp thesis is ?
-


.
o
3 . then the hypo this is not correct


↳ =
Valid
,
MT ↳ invalid confirmation
,
of the
consequent (


Hot

|
-
11 2.
-
.
if It

prediction ( P)
is not true

is
,



true
then P is not tru





3 .
the prediction is not
,
not true

4. So the hypothesis is not
,
not true

5 .
So the
hypothesis is
probably true





theories &
hypotheses can never be proven ,

Approaches to science 1) Normative approach = how science should be done
only supported .




2) Historic approach = what scientists actually do




Week 2 oh 3. 5,6



Variables =
Something that varies ,
so at least two levels

constant something that could but only has level in the study in question
vary one
=




Researchers either
study
→ variable
in
any
measure or
manipulate a



measured variable =
one whose levels are simply observed and Recorded ( e.g .
IQ tests or height)

manipulated variable by (e.g manipulated (e.g age

=
controlled the researcher .
dosis ) -
D not
everything Cen be or unethical things )



each variable in a
study can be described in two
ways

1) conceptual

T ?

¥r%m" !
'
onalihed •
conceptual Variables abstract time socializing's
'

" =
concepts ( e.g .




concept
o
conceptual definitions = the careful definition of conceptual variables leg . what do we mean with
'


socializing
'

)

Lto measurable 2) Operational .
. .





Variables
> both Relating to the specific (test) situation

definitions

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