Research Methods Flashcards

1
Q

Objectivity

A

When all sources of personal bias are minimised to not distort or influence the research process

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Replicability

A

The extent to which scientific procdures and results can be repeated by other researchers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Empirical method

A

Scientific approaches that are based on the gathering of evidence through direct observation and experience

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Falsifiability

A

The principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Issue of a study without objectivity

A

Would lead to subjectivity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Issue of a study without replicability

A

If it cant be repeated, it may be linked to bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Issue of a study without an empirical method

A

If not used, may see more researcher bias and lack objectivity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Theory

A

A framework/explanation for describing a phenomenon. It may be based on observations about the world or on empirical data derived from hypothesis testing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Theory construction

A

The creation of a framework or explanation for describing a phenomenon on the basis of direct observation or empirical data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Hypothesis testing

A

When it is possible to make clear and precise prediction on the basis of a theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Paradigm

A

A set of shared assumptions and agreed methods within a scientific discipline

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Paradigm shift

A

The result of a scientific revolution in that a significant change in the dominant unifying theory within a scientific discipline occurs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Issues of a study without a theory

A

No aim, wont be looking for anything specific

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Case study

A

An in-depth investigation, description and analysis of a single individual, group, institution or event
-> longitudinal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Strentghs of case studies

A
  • foundation to start research
  • detailed studies
  • investigates rare instances of behaviour
  • rich in detail
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Limitations case studies

A

-> aren’t controlled (manipulation of results)
-> difficult to generalise - occasionally ideographic
-> lacks objectivity
-> often a personal account, issue with self report
-> observers bias = reduced objectivity and validity
-> possibility of psychological harm

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Content analysis

A

A research technique that enables the indirect study of behaviour by examining communications that other people produce -> may involve either qualitative or quantitative analysis, or both

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Content analysis process

A

Data is collected
Researcher reads through or examines the data, making themselves familiar with it
The researcher identifies coding units
The data is analysed by applying the coding units
A tally is made of the number of times that a coding unit appears

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Coding

A

Identifying behavioural categories

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Strengths of content analysis

A

-> replicability, can be tested for reliability with inter-observe reliability
-> produced qualitative and quantitative data
-> high ecological validity, produced by people in real life, current and relevant research
-> avoids ethical issues, all the media is already present in public domain / no issues with obtaining permission

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Limitations of content analysis

A

-> using categories is very subjective, observer bias - because of the differing interpretation of the meaning of categories
-> content analysis may be cultural bias, written in another langauge

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Thematic analysis

A
  • a form of consent analysis whereby the outcome is qualitative
  • involved identifying themes, which refers to an idea that is implicit or explicit that is recurrent
  • report will be written up referring to these themes and quoting specific evidence from the samples used
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Strengths of thematic analysis

A

-> provides researchers with flexibility in the way that they approach data
-> uses a subjective approach so that the researcher can apply a range of theories to it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Limitation of thematic analysis

A

-> researcher bias can happen as the researcher has to interpret the data
-> it may lack validity as the data has not been collected under controlled conditioned
-> very time consuming

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Reliability
How consistent the finding from an investigation or measuring device are. If a measuring device is said to be reliable if it produces consistent results every time it is used
26
Inter-observer reliability
Comparing the data between two or more observers - calculated as a correlation coefficient between two sets of scores from independent observes (If the number is greater than +.80 then reliability is good)
27
Improving the reliability of observational techniques
- operationalise behaviour categories - observers to practice or become trained in using behaviour categories - discussions decision with each other so that can apply categories more consistently
28
Assessing reliability of self-report techniques
Test-retest: - repeating the test after a short interval on the same person - scores for each person and compared - this shows the extent to which the test, or other measure, produces the same answer - also calculated as a coreelation coefficient
29
Improving reliability of self-report techniques
- re writing ambiguous questions - deselecting certain questions - more structured interview
30
External validity
The extent to which an observed effect can be generalised, people other times and setting
31
Temporal validity
A form of external validity focusing on the ability to generalise findings beyond the particular historical context of the study
32
Ecological validity
A form of external validity focusing on the extent to which the research effect is likely to be demonstrated in other settings
33
Population validity
A form of external validity which refers to whether you can reasonably generalised the findings from your sample to a larger part of the population
34
Internal validity
The extent to which the effects of a study are due to the manipulation of the independent variable
35
Factors effecting internal validity
Extraneous and confounding variables Demand characteristics Leading questions Poor operationalisation
36
How to improve internal validity
Control group - asses wethere effects of IV has caused changes in the DV Standardisation - reduce investigator effects Lie scale - assessing consistency of responses, reduces social-desirability bias
37
Factors affecting external validity
Artificial task/setting Mundane realism Type of sample Changes in societal norms
38
How to improve external validity
Set up experiments in more naturalistic settings Carry out at different times to increase temporal validity Use of a large sample with a range of ages Mundane realism - do tasks that reflect real life
39
Aim
A purpose for carrying out a study
40
Hypothesis
A statement that is made at the start of a study and clearly states the relationship between the variables - directional and non-directional -
41
Operationalisation
Clearly defining variables in terms of how they can be measured
42
Control group
The group in the experiment that receives no treatment
43
Independent variable
Some aspect of the experimental situation that is manipulated by the researcher or changes naturally
44
Dependant variable
The variable that is measured by the researcher, any effect on this should change the IV
45
Experimental group
The group in the experiment that received the experimental treatment
46
Strength of lab experiments
Easy to replicate High internal validity -> more control over extraneous variables
47
limitations of lab experiments
Demand characteristics Lacks generalisations, low external validity
48
Strengths of field experiments
High external validity Higher mundane realism, more natural environments
49
limitations of field experiments
Less control over extraneous variables Ethical issues Replication
50
Field experiment
IV is manipulated in a natural, more everyday setting Effect on DV is recorded
51
Natural experiment
Takes advantage of a pre-existing IV - its natural, not necessarily in the setting Records effect on DV
52
Strength of natural experiment
High external validity
53
limitations of natural experiments
Harder to replicate Practical and ethical reasons
54
Quasi experiments
Has an IV that is based on an existing difference between people The variables simply exist and have not been manipulated
55
Strengths of quasi
Removes extraneous variables Replications Randomisation
56
Limitation of quasi
Low internal validity Confounding variables
57
Extraneous variables
Any variable other than the IV that may have an effect on the DV if it is not controlled
58
Confounding variables
Sony variable other than the IV that may have affected the DV
59
Demand characteristics
Is an extraneous variable Participants will try to work out what is going on using certain clues/cues
60
Investigator effects
Results in an unwanted influence of the investigator on the research outcome
61
Single blind design
Participant is not aware of the research aims and/or which condition of the experiment they’re receiving
62
Double blind design
Participant and the investigator are blind to the aim/hypothesis
63
Experimental realism
If the researcher makes the task sufficiently engaging, the participant pays attention to the task and not the fact they’re being observed
64
Repeated measures
Participants take part in all conditions of the experiment
65
Independent groups
Participants take part in all conditions of the experiment
66
Independent groups
Participants take part in one condition of the experiment
67
Matched pairs
Participants are put into pairs based on a potential extraneous variables, one takes part in condition A the other in condition B
68
Random
All members of the target population have an equal chance of being selected. List of all member of the target population obtained, where all names assigned a number
69
Systematic
Every nth member of the target population is selected. A sampling frame is produced
70
Stratified
The composition of the sample reflects the proportion of people in the certain sub groups
71
Strengths of random sampling
- possibility of achieving representative sample - each member has the same probability of being selected
72
Limitations of random sampling
- impractical, not always possible to use - small minority groups within target groups distort results
73
Strengths of stratified sampling
- no researcher/volunteer bias
74
Weaknesses of stratified sampling
- participants can refuse to take park - time consuming and expensive as you need an entire list of target population, as well as data and graphs
75
Strengths of Opportunity sampling
- doesnt require money - convenient - doesnt take up much time
76
Weaknesses of opportunity sampling
- not necessarily representative of target population - cant be generalised to sub groups
77
Strengths of systematic sampling
- Random - less researcher bias
78
Weakness of systematic sampling
- time consuming - pts may refuse to participate
79
Strengths of volunteer sampling
- easy to get participants - less time consuming - pts will be more engaged
80
Weaknesses of volunteer sampling
- attracts a certain profile or personality - cant be generalised
81
Naturalistic observation
Takes place in a setting where target behaviour would usually occur Aspects of environment free to vary
82
Controlled observation
Sometimes useful to control aspects of research situation Some control over variables - manipulating variables to observe effects and controls for some extraneous variables
83
Covert
- participants are unaware that they are the focus of a study, no consent - observed in secret - behaviour must be public and happening anyway
84
Overt
- participants are aware their behaviour is being observed and have given informed consent
85
Participant
Sometimes necessary for observer to become part of group studying
86
Strengths of structured
Easier data collections Quantitative data
87
Strengths of unstructured
Qualitative data Depth of detail
88
Unstructured weaknesses
Hard to analyse Observer bias
89
Behavioural categories
When a target behaviour is broken up into components that are observable and measurable
90
Time sampling
Recording behaviour within a pre-established time frame
91
Event sampling
Counting number of times a particular behaviour occurs in target or individual group
92
Event sampling
Counting number of times a particular behaviour occurs in target individual or group
93
Self report
Any method in which a person is asked to state their own feelings behaviours and experiences related to a certain topic
94
Two types of questionnaires
Open and closed
95
Strengths of questionnaires
- cost-effective - statistical analysis
96
Weaknesses
- effort to obtain data - may not be truthful, social desirability bias
97
MEASURE OF CENTRAL TENDANCY AND DISPERTATION
98
MATHS CONTENT
99
THE SIGN TEST
100
One-tailed
Directional hypothesis
101
Level of significance
Always 0.05
102
Calculating probability
103
type I error
accept the alternative hypothesis in error, data has passed level of significance but findings were actually just due to chance
104
type II error
reject alternative when its actually true, data hasn't passed level of significance, but pts not acting as expected due to chance variation hidden the causal relationship between IV and DV
105
null
no causal relationship between IV and DV
106
nominal
categorical, variables don't overlap, no natural ordero
107
ordinal
have natural order, likert, ranking
108
interval data
equal units, ratio, continous
109
converting
interval can to go ordinal by giving each pt a ranking interval can go to nominal by creating seperate categories
110
correllation coefficients
represents both strength anf direction to the relationship between the co-variables as a number betweeen -1 and +1