research methods Flashcards

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1
Q

extraneous variables

A

variables that could affect the dv. essentially nuisance variables. do not vary systematically with the iv

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2
Q

confounding variables

A

any variable that affect the dv. change systematically with the iv.
renders results useless.

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3
Q

pros and cons of independent groups design

A

PROS:
- order effects not a problem
CONS:
- individ dif between confounding variables - try to control with random allocation
- less economical

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4
Q

pros and cons of repeated measures

A

PROS:
- ind dif not a problem
- fewer people needed than igd
CONS:
- order effects
- demand characteristics
- practice effects

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5
Q

pros and cons of matched pairs

A

PROS:
- order effects not a problem
CONS
- time consuming to match pps
- less economical than rmd
- cant control every variable

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6
Q

lab experiment

A

WHAT: IV is manipulated to see effects of DV. conducted in highly controlled environment.
PROS:
- high control over variables
- high internal validity
- replication is possible
CONS:
- lacks generalisability (low external validity)
- demand characteristics
- lack mundane realism
EXAMPLES: loftus & palmer, asch, little albert, ainsworth & bell

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7
Q

field experiment

A

WHAT: IV is manipulated but in more natural setting
PROS:
- higher mundane realism
- higher external validity
CONS:
- higher chance of extraneous variables
- replication not possible
- ethical issues
EXAMPLES: hoflings hospital, pavillion, rosenthal & jacobson

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8
Q

natural experiment

A

WHAT: IV is not manipulated by researcher. researcher takes advantage of pre-existing IV
PROS:
- provide opportunities for studies that would otherwise not be possible, mainly due to ethical reasons
- high external validity
CONS:
- naturally occuring events rarely happen
- rare events mean its difficult to generalise findings
- pps cannot be randomly allocated so cannot be fully sure if IV was affecting DV
EXAMPLES: charlton et al, hodges & tizard

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9
Q

quasi experiments

A

WHAT: IV is based on existing difference between people
PROS:
- high control over variables
- high internal validity
- replication is possible
- can conclude cause and effect
CONS:
- same as natural

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10
Q

what is a pilot study

A

small scale practice run of a study to test procedure

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11
Q

four major ethical issues

A
  • informed consent
  • deception
  • privacy and confidentiality
  • protection from harm
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12
Q

pros and cons of correlations

A

PROS:
- useful starting point
- quick and economical as no manipulation of variables is requires
- can be used when it would be unethical or impractical to manipulatr variables
can be repeated over large samples
CONS:
- cannot establish cause and effect
- cannot establish direction of causality
- may be unknown third variable afecting results

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13
Q

distribution curves

A

NORMAL: mean median and mode are exact same midpoint, symmetrical
LEFT SKEWED: mean>median>mode
RIGHT SKEWED: mode>median>mean

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14
Q

peer review major functions

A
  • allocate research funding
  • validate quality and relevance of research
  • suggest amendments and improvements
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15
Q

what is a case study

A

an in depth investigation of a single person, group, event or community.

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16
Q

case study eval

A

PROS
- rich detailed info
- contribute to understanding of normal behaviour
CONS
- cannot generalise
- issue with bias and retrospect

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17
Q

stages if content analysis (qualitative data)

A

CODING - creating behavioural categories
THEMATIC ANALYSIS - identify themes

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18
Q

eval of content analysis

A

PROS
- gets around ethical issues (info is often alr public
- replication is possible
- practical applications (sexual assault)
CONS
- people studied out of context
- culture bias

19
Q

define validity

A

how accurate is the test study, theory, explanation, results, diagnosis etc. are the effects genuine/real?

20
Q

what is internal validity

A

was the study testing what it was supposed to be testing

21
Q

what is external validity

A

can the findings be generalised beyond the setting in which the study was performed?

22
Q

define reliability

A

can the measure be repeated?
TEST RE-TEST

23
Q

type 1 error

A

happens if level of significance is too lenient

24
Q

type 2 error

A

happens if we are too strict

25
Q

nominal data

A
  • in categories
  • discrete (only in one category)
26
Q

ordinal data

A
  • can be ordered
  • does not need to have equal intervals
  • not objective (real)
27
Q

interval data

A
  • “real” numerical scale
28
Q

rule of R

A

if test has r in test name calculated value has to be equal to or MORE than critical value

29
Q

when to use chi squared

A

difference, igd, nominal
OR
correlation, nominal

30
Q

when to use sign test

A

difference, related design, nominal

31
Q

when to use mann-whitney

A

difference, igd, ordinal

32
Q

when to use wilcoxon

A

difference, related, ordinal

33
Q

spearmans rho

A

correlation, ordinal

34
Q

unrelated t test

A

difference, igd, interval

35
Q

related t test

A

difference, related, interval

36
Q

pearsons r

A

correlation, interval

37
Q

how to calculate df (degrees of freedom)

A

df=(rows-1) X (columns-1)

38
Q

SUMMARY STATEMENT (significance tests) NEED

A
  • calc value
  • critical val. 1or2 tailed LoS, df/n
  • (in)significant
  • accept/reject
  • relate back to stem
39
Q

contingency table

A

2x2

40
Q

consent form needs

A
  • purpose
  • procedure
  • ethics (confidentiality)
41
Q

standardised instructions need

A

exactly same for all pps and CLEAR
- specific details
- check of understanding
- ethics

42
Q

debrief must include

A
  • aim of experiment (identical to stem)
  • conditions
  • deception?
  • what u expect to find
  • plans with results
  • ask if have questions
43
Q

referencing journal article

A

surname, initials (year) title of paper. journal title(in italics), volume(italics), page numbers

44
Q

referencing books

A

surname, initials (year), book title (in italics). place of publication. name of publisher