Research methods 1 Flashcards

(87 cards)

1
Q

What is an alternate/ experimental hypothesis?

A

a clear, testable, precise statement that you wish to test which contains variables that have been operationalised.

Suggests there is a change

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2
Q

what is a null hypothesis?

A

all results are obtained due to chance not the iv.

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3
Q

What is a directional/ one tailed hypothesis? when is it used?

A

predicts direction change is expected to occur in eg bigger, smaller
used when previous research suggests and direction

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4
Q

What is a non-directional/ two tailed hypothesis? when is it used?

A

predicts change but no specific direction eg effect, change
used when no previous research or previous research is contradictory

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5
Q

what is operationalisation?

A

This term describes when a variable is defined by the researcher and a way of measuring that variable is developed for the research

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6
Q

what is a lab experiment?
eg?

A

takes place in a highly controlled environment
eg loftus and plamers study of effect of leading qs on memory

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7
Q

+ lab experiment

A

complete control of variables
forces pace of research
reliable (easy to replicate)
quantitative data
can use technical equptment

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8
Q

negatives of lab experiment

A

loss of ecological validity
drawbacks of experimental design
demand characteristics
sampling bias
ethics

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9
Q

what is a field experiment?
eg?

A

takes place in natural environment so reflects real life
eg pilliavans subway Samaritan study

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10
Q

+ field experiment

A

can witness non biased behaviour
more valid- better reflection of real life

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11
Q

negatives of field experiment

A

difficult to control variables
cant use as much technical equipment
cant control pace of research
not reliable (not easy to replicate)

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12
Q

what is a natural experiment?
eg?

A

researching the aftermath of something that has already occurred
eg effects of tsunami on future mental health

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13
Q

What is a quasi experiment?
eg?

A

researcher doesnt directly control iv but exploits naturally occurring differences
eg if iv is gender, this isnt technically an experimental method

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14
Q

+ quasi experiment

A

reduces demand characteristics
lack of direct intervention
allows comparison between groups

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15
Q

negatives of quasi experiment

A

loss of control over variables

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16
Q

what is an extraneous/cofounding variable?

A

Extraneous- nuisance/ extra variables that affect the DV- things we know about eg situational/ppt variables, demand characteristics, social desirability, order effects, researcher bias

confounding variables- variables that change with the IV- cant be sure if its the IV or the CV that is causing the change

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17
Q

name 6 extraneous variables
how to control

A

demand characteristics- changing behaviour to fit expectations

social desirability- changing behaviour to look good

investigator effect/ researcher bias- researcher somehow influences outcome eg through body lang or expectations

situational variables- outside influences eg time. control with standardisation (instructions, procedures etc same for each ppt)

order effects- boredom or fatigue. control with counterbalancing (ABBA technique- changes order of tasks each ppt uses in repeated measures) or randomisation (order of task etc decided by random method eg coin toss)

participant variables- difference between them eg age

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18
Q

what is an experimental design?

A

way of organising participants into groups

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19
Q

what is repeated measures?

A

using same participant in each condition

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20
Q

+ repeated measures

A

controls individual differences
fewer particiapnts needed

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21
Q

negatives of repeated measures

A

low validity
order effects

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22
Q

what is independent measures?

A

using different participants in each condition.
may select itself eg age or gender

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23
Q

+ independent measures

A

no order effects
more valid

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24
Q

negatives of independent measures

A

reduced control of individual differences
need more participants

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25
what is matched pairs?
using similar but diff participants in each category eg twins
26
+ matched pairs
can clearly see differences between them no order effects control of individual differences
27
negatives of matched pairs
difficult to recruit so time consuming so expensive
28
what is a naturalistic obs?
studying people in their natural environment without interfering
29
what is a structured observation?
know in advance what you will look for- devise a checklist. quantitative data in form of tally
30
what is event sampling?
keeping count each time behavior occurs
31
what is time sampling?
note behaviours displayed at set time intervals eg every 20s
32
what is an unstructured observation? when used? how to increase accuracy?
researcher records all behaviour. quantitative and qualitative used when dont know what to expect inter-rater reliability- 2 observers trained in same way and must meet 80% agreement
33
what is a covert obs?
participants unaware theyre being observed
34
what is an overt obs?
participants aware theyre being observed
35
what is a participant obs?
researcher is part of action theyre observing
36
+ structured obs
quantitative data analyse reliable (can be replicated)
37
negatives of structured obs
researcher bias hard to decide what to look for miss behaviours not on list
38
+ unstructured obs
good if dk what to expect wont miss anything
39
negatives of unstructured obs
qualitative hard to record less specific purpose hard to record everyhting
40
+ covert obs
reduces demand characteristics increase validity as no artificial behaviour
41
negatives of covert obs
participants havent consented but in public anyway
42
+ overt obs
more ethical -consent
43
negatives of overt obs
demand characteristics reduce validity
44
+ participant obs
in action so can see things you cant from far away
45
negatives of participant obs
researcher bias may influence behaviour hard to see everything from middle difficult to make notes whilst in action
46
what is self reporting? what needs to be done first?
asking participants questions through interviews or questionnaires need pilot studies to check for ambiguity and increase validity and reliability
47
what are 4 types of question?
open- elaborate closed- forced to pick contingent- depend on previous answer Likert scaling- assess strength but use odd nos so people often pick middle
48
why use a variety of q types in self report?
not bored gather diff types of data eg qualitative and quantitative
49
what to avoid in questionnaires?
jargon emotive language leading qs double barrelled qs double negatives
50
+ interviews
highly valid see body language- put them at ease so decrease demand characteristics can elaborate on qs
51
+ structured interview
less researcher bias reliable (standard qs so can have multiple interviewers) valid, focused, targeted can ask set qs then others
52
+ and - unstructured interview
+ flexible, follow up qs broader info more comfy- less demand characteristics _ less reliable( hard to replicate) and researcher bias
53
negatives of interview
smaller sample size low reliability difficult to analyse can see and misjudge body lang demand characteristics and researcher bias
54
+ questionnaire
quick, easy,cheap reliable ethical(consent) gather lots of data quantitative data Ask range of qs so engaging
55
negatives of questionnaire
low validity (demand characterisics) social desirability lading questions- bias can control sample
56
what is a corelation? what is a corelation coefficient?
the relationship btwen two variables tells you the strength of the relationship
57
+ of correlations
useful starting point for futher research quick, easy,cheap
58
negatives of correlations
dont explain why it happens validity flawed if method of measurment is poor
59
what is random sampling? + and -
all members of target pop have equal chance of being chosen + no researcher bias equal chance of selection - difficult to access list of target pop may not be representative time consuming people picked might not have consented
60
what is stratified sampling? + and -
target pop divided into subsets and random sample taken from subsets + more representative free from researcher bias - difficult to get list of target pop time consuming subsets may not represent how people are diff
61
what is opportunity/convenience sampling? + and -
selecting anyone available from target pop + quick, easy, convenient - researcher bias not representative
62
what is self selected/ volunteer sampling? + and -
participants volunteer sometimes not on purpose eg passersby + simple and quick willing to engage - demand characteristics participants similar eg extroverted so not represntative ppts may have ulterior motive eg in schaffer and emmersons study, mothers may just want reassurance of their parenting
63
what is systematic sampling? +and -
picked from list at fixed intervals + no researcher bias - might as well do random sample time consuming participants may not consent
64
what is a snowball sample? + and -
getting to a hidden population + representative find hidden pop no researcher bias - may endanger participants difficult to find hidden pop less control
65
what is reliability? interrater reliability test retest
consistency of test/ procedure would 2 people come to same conclusion with 80% concordance would results be consistent in a second test
66
what is validity? what are the 5 types?
something being valid and comparable to real life face validity-would common sense tell us it would work predictive validity- predicts future performance w some accuracy concurrent validity-high concurrent validity is where there is close agreement between the data produced by the new test compared to the established test. Close agreement is indicated if the correlation between the two sets of data produced by the two tests exceeds +0.8. ecological validity- findings generalized beyond lab temporal validity- results valid in past but not now
67
what is primary data? + and -
data collected directly by researcher + more up to date more accurate conrol over quality and accuracy - expensive time consuming researcger bias
68
what is secondary data? + and -
data that already exists but is analysed by researcher + cheap, quick, easy historical, comparable data benefit from pervious researchers expertise - may be inaccurate or irrelevant no control over quality or accuracy
69
what is meta analysis? what is triangulation?
combining primary and secondary to come to overall conclusion looks for similarities and differences. combines strengths of both linked to concept of triangulation which improves reliability and validity by using more than 1 research method or source of data
70
what is interval data?
Evenly spaced interval between each of the values eg minuets
71
what is ordinal data?
scores placed in rank order
72
what is nominal data?
frequency
73
what are the measures of central tendency? + and -
mode-most frequently occuring value +not affected by extreme variables, easy to calculate _ doesnt take all values into account, may not be a mode median- middle value + not affected by extreme value, more representative _ ignores other values, extreme values can be useful, just numerical mean- arithmetic average + takes all values into account, more general and overall impression _affected by extremes, not representative as easly distorted
74
what are measures of dispertion? what are they?
examine variability in data set help us understand if data is similar or diff range- over how many numbers distribution is spread standard deviation- how far each score is from mean interquartile range- subtract Q1 from Q3 range+ mode standard deviation+ mean Interquartile range+ median
75
on which graphs is the x axis continuous? discrete?
continuous-histogram, line graph(frequency polygon) discrete- bar chart
76
what is normal distribution? what are characteristics of the curve?
definition - bell shaped - symmetrical - mean, median, mode all on same point - two tails never reach horizontal axis
77
what are the 4 types of distribution? what do they look like?
normal- bell shaped positive/right skew- coming towards you negative/ left skew- going away from you bi-modal- camel
78
what are orders of magnitude?
used to make up very approximate comparisons and reflect very large differences
79
what are ethics? what are the BPS guidelines?
standards of conduct distinguishing between right and wrong Deception Protection from harm Confidentially Withdrawal Debriefing
80
what is peer review? what 4 things can be done?
evaluation of work by one or more people of similar competence to the producers of the work. maintain standards of quality, improve performance and provide credibility 1) unconditionally accept 2) accept but ask to improve (most common) 3) reject but encourage resubmission 4) reject outright
81
evaluate peer review
anonymity- reviewers are anonymous so may use this to unfairly criticize if hold grudge publication bias- file drawer effect. only produce statistically sig findings burying groundbreaking research- research that falsifies existing theories will find it hard to be published
82
what are the implications of psychological research for the economy?
how gov can use findings and how useful they are 1) attachment research- Bowlbys WHO report in 1950s stated babies needed mum for healthy psychological development but later evidence disproved this so mums went back to work 2) psychopathology research- to do with treatment and ability to work eg therapy initially more expensive than drug but get back to work sooner 3) memory research- 4) forensic psychology research-
83
what are inferential statistics?
discoveringif results are statistically significant. 5% or 1/20 or o.o5 chance that it is due to chance. express in terms of null- accepting or rejecting
84
what is a type 1 error? type 2?
type 1- false positive. not cautious enough. rejecting null when shouldn't type 2- false negative. being over cautious. accepting null when shouldn't
85
describe the sign test
1) add up no of time least frequent sign appears ( doesnt matter if + or - as long as all that are same have same sign) this value is s 2) add no of participants (ignoring no changers) this value is n see if hypothesis is 1 or 2 tailed check critical value table for 1 or 2 tailed at the value of n 3) if our value of s is less than or equal to the value in the table, it is statistically significant and we can ignore the null. vice versa
86
describe how you would obtain a stratified sample (4)
- identify strata/sub-groups in their population, eg the four different schools - calculate the required proportion from each stratum based on the proportion in the population - select sample at random from each school/stratum/sub-group. - use a random selection method, eg assign each student a number then use a computer, calculator or random number table to select specified number of numbers between 0 and X (or hat method).
87
how to match ppts and assign to groups
1 mark for each of the following: * explanation of how the participant variable will be measured, eg participants could be paired together for happiness using the initial happiness questionnaire OR participants could be paired together for the type/frequency of sport they usually participate in by asking them to complete a sports survey * participants with the two highest scores are paired, then the next two highest score are paired and so on until all participants are paired (10 pairs) * one participant from each pair would be randomly allocated to a different condition of the experiment (so that there were 10 participants in each group).