RESEARCH METHODS : PROBABLITIY AND SIGNIFICANCE Flashcards

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1
Q

each study has how many hypothesis

A

2

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2
Q

what is an orgianl or alternate hypothesis

A

states there will be an effect

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3
Q

whats the symbol for original or alternate hypothesis

A

H1

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4
Q

What is a null hypothesis

A

states there wont be an effcet

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5
Q

nul hypothesis symbol

A

H0

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6
Q

GIVE EXAMPLE OF ALTERNATE HYPOTHESIS

A

there will be an effect n pt depression score

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7
Q

give example of null hypothesis

A

states there wont be an effect

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8
Q

what do stat test tell us about null hypothesis

A

whether or not to reject null hypothesis

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9
Q

if we reject the nul hypothesis whta does this say about the study

A

good and stat test told me results are good

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10
Q

we look for what rather than truth

A

significance

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11
Q

lets say we find a difference and everyone imporved this dont means the results are …….

because resuts could easily be down to

A

of value/significnat

chance

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12
Q

all studies ewmploy a significance level in order to

A

check for significant differences or relationships

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13
Q

significance levl is the point at which

A

point at wihc researcher can claim to have discovered a large enough difference or correlation within the data to calim an effcet has been found

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14
Q

signficnace level in short

A

point at whihc researcher can reject teh null hypothesis and accept teh alternative hypothesis

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15
Q

stat tests tell us whether

A

reuslts are significant o rnot

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16
Q

what is the accepted level of proability and waht you use unless told otherwise

A

0.05 / 5%

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17
Q

the usual level of signicfane is 0.05 how do you write this properly

A

p<_0.05

18
Q

0.05 is the elvel at whihc waht is accepte

A

alternative/original hypothesis is accepted

19
Q

what doe a 0.05 level of probaility tell us

A

less than 5% proabilty result occured by chance

20
Q

if results come back as significant after conducting a stat test what does this mean probability wise

A

95% proability my result occured due t the manipulation of the IV on the DV ?

21
Q

p of 0.05 measn even if researcher claims to have found asignificant difffrence/correlation

A

there is still up to a 5% chance that it isnt true for the target population in whihc the sample was drawn

22
Q

why cna psycholoigsts never be 100% certain about a particular result

so they have

A

theyve not ested all members of the population under all possible circumnstances - this is not practical economically due to time and costs

so theyve settled on a conventional level of proability where tehyve prepared to accept results may have occured by chance

23
Q

some studies have a 0.001 level of probaility this depdns on

A

what the researchers are trna achieve

24
Q

5% is an accpetable

A

margin of error

25
Q

choosing the wrong significance level can lead to

A

type 1 error

type 2 error

26
Q

what is a type 1 error

A

when you choose a significance level thats too high such as 0.1/10%

the incorrect rejection of a true null hypothesis

flase positive

27
Q

what happens when you have a type 1 error

A

reult in rejecting a null hypothesis thats true

fasle positive

null hyp rue

alt hyp wrong

say results are signficant when tehyre actually not

28
Q

what is a tyoe 2 error

A

the failure to reject a false null hypothesis

a false negative

when you choose a significance level that is too low e.g 1% or 0.01%

29
Q

what happens when you have a type 2 error

A

null hypothesis is accepted but alt hypothesis should have been accepted

because its true

30
Q

why dopsychologists facour hte 5% level of significance

A

best balances the risk of making a type 1 or type 2 error

31
Q

once a stat test been calculated whats teh result

A

a number - calculated value

32
Q

to check for stat significance teh calculated value must be

A

compared with a critical value

33
Q

what is a critical value

A

a number that tells us whether or not we can reject the nulll hypothesis and accept eh alternative hypotheis

34
Q

each stat test has its own

A

table of critical values developed by staticians

35
Q

what is the rule of R

A

Stat test with the letter R in their name re those where calculated value must be = to or more than critical vlue

+ there is an r in more

36
Q

how do we know which critical value ot use

A

one or two tailed test

numbe of participants in the study /degrees of freedom

level of significance

37
Q

when do we use a one tailed test

A

directional hypothesis

38
Q

when do we use a two tailed test

A

non directional hypothesis

39
Q

when and why do probailty levels double

A

when two tailed test is being used

as they are a more conservative prediciton

40
Q

number of pt in the study usually appear as

A

n value on the table

41
Q

when would a stringetn / low level of singifanec be used e.g 0.01

A

studies where there may be a human costs such as drug trials

or one off studises where for practical reasons cannot be reoeated in teh future

42
Q

what happens if there is a large difference between the calcualted and critical values

A

in teh preferred direction
the researcher will check more stringent levels as the lower the p value
the more statistically significnant the result