year 13 research methods Flashcards

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1
Q

why do we use a statistical test

A

to determine if an difference/ correlation exists in research.
significant or occurred by chance

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2
Q

null hypothesis

A

this is when the findings have occurred by chance
opposite of hypothesis

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3
Q

choosing a statistical test

A
  1. difference or correlation
  2. related vs unrelated (not correlation)
  3. levels of measurement
    Some Women Really Can’t Measure Under Circumstances So Petty
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4
Q

related design

A

matched pairs, repeated measures

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5
Q

unrelated design

A

correlation

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6
Q

nominal data

A

a level of measurement when data is in seperate categories

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7
Q

ordinal data

A

subjective. data organised in a way but intervals inbetween each item is unequal and can be ranked against eachother

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8
Q

interval data

A

mathematically measured. the speed or time it takes someone to do something.

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9
Q

nominal statistical tests

A

unrelated- chi squared. related- sign test. association test- chi squared

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10
Q

ordinal statistical tests

A

unrelated- mann whitney. related- wilcoxon. association- spearmens rho

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11
Q

interval statistical tests

A

unrelated- unrelated t-test. related- related t-test. association- pearsons R

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12
Q

level of significance in psychology

A

0.05

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13
Q

chi squared degree of freedom - spread of data

A

(rows-1) x (collumns-1)

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14
Q

pearsons R degree of freedom

A

n-2

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15
Q

related t-test degree of freedom

A

n-1

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16
Q

unrelated t-test degree of freedom

A

na + nb - 2

17
Q

type 1 errors

A

null hypothesis is rejected when the results were acc due to chance and the researcher is being optimistic

18
Q

type 11 errors

A

null hypothesis is accepted when the results are actually significant and the researcher is being pessimistic.

19
Q

correlation

A

a measure of how strongly two or more variables are related to eachother - cannot establish cause and effect

20
Q

disadv of correlations

A

do not show causation, dame weakness as methods used to gather data, misleading, cannot establish real cause

21
Q

adv of correlations

A

good pilot study, can research unethical variables without doing an experiment, understand relationships between variables (pos/neg)

22
Q

psychological report

A

abstract, introduction, methods, results, discussion

23
Q

features of science - empirical

A

data must be collected based on the theory in an experiment or observation for example

24
Q

features of science - objectivity

A

this aims to reduce bias. may use 2 researchers and compare. lab studies help to stop bias

25
Q

features of science - replicability

A

Popper argued a experiment or theory should be able to be replicated in order for the findings to be allowed to be generalised

26
Q

festures of science - falsifiability

A

if you cannot test that a theory is wrong it is not scientific. e.g. freuds theories about the 3 parts of personality

27
Q

features of science - paradigm shifts

A

complete shifts in what the theory or science believes in. e.g from Freud, to bandura, to neuroscience

28
Q

features of science - a theory

A

a set of general laws that can explain particular behaviours etc

29
Q

sign test step 1

A

put the data collected into a table

30
Q

sign test step 2

A

subtract scores from condition A and B then record differences in score with +/-/= signs

31
Q

sign test step 3

A

add up + and - and smaller number is value S

32
Q

sign test step 4

A

compare S w critical value of that type of hypothesis and number of ppts to see if significant. if calculated value is smaller then or equal to the critical value the score is significant