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research methods Flashcards

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1
Q

What is an Independant Variable?

A

Some event that is directly manipulated by experimenter in order to test its effect on the DV.

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2
Q

What is a Dependant Variable?

A

A measurable outcome of the action of the independent variable in an experiment.

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3
Q

What is an extraneous Variable?

A

Nuisance variables that muddy the waters and make it more difficult to detect a significant effect.

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4
Q

What does Control mean?

A

Refers to the extent which any variable is held constant or regulated by a researcher.

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5
Q

What is External validity?

A

The degree to which a research finding can be generalised to other settings e.g. ecological validity

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6
Q

What is internal validity?

A

The degree which an observed effect was due to the experimental manipulation rather than other factors such as confounding/extraneous variables

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7
Q

What does Validity mean?

A

Refers to whether an observed effect is a genuine one.

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8
Q

What is a confounding variable?

A

A variable under study that is not the IV but which varies systematically with the IV.

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9
Q

What is a laboratory experiment?

A

An experiment conducted in a special enviroment where variable can be carefully controlled.

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10
Q

What is a field experiment?

A

An experiment conducted in a more natural enviroment i.e. in ‘the field’.

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11
Q

What are strengths of Laboratory experiements?

A
  • Usually high in internal validty because extraneous variables can be controlled.
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12
Q

What are limitations of Laboratory experiements?

A
  • Participants usually are aware that their behaviour is being studied. Leading to particpants searching for cues about the aims of the experiments and affect behaviour reducing realness.

- The IV and DV may be operationalised in such a way that it doesn’t represent everyday experiences, i.e low in mundance realism.

- Low ecological validty can also be explained in terms of setting. Participants may feel uncomfortable in an unknown and artifical enviroment. Causes change in usual behaviour.

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13
Q

What are strengths of Field experiments?

A
  • Participants are not likely to be aware that their behvaiour is being studied
    

- A field experiment takes places in a more natural setting (e.g a classroom), particpants are more relaxed.
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14
Q

What are limitations of Field experiments?

A
  • It is more difficult to control extraneous variables.


  • There is a major ethical issue
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15
Q

What is a Natural Experiment?

A

An experiment conducted when it is not possible, for ethical or practical reasons, to deliberately manipulate an IV.

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16
Q

What are the strengths of Natural experiments?

A
  • Allows research where IV can’t be manipulated for ethical or practical reasons.
    

- Enables researchers to study ‘real’ problems such as the effect of a disaster on health (increased mundane realism and ecological validty).
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17
Q

What are limitations of Natural experiments?

A
  • Cannot demomstrate casual relationships because IV not directly manipulated
    .

- Can only be used where conditions vary naturally.


  • Participants may be aware of being studied, creating demand characteristics and reducing internal validity.
    

- The DV may be a fairly artficial task, reducing mundane realism.
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18
Q

What is strength of Quasi-experiments?

A

Allows comparisons between types of people.

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19
Q

What are limitations of Quasi-experiments?

A
  • Participants may be aware of being studied, creating demand characteristics and reducing internal validty
    

- The DV may be a fairly artificial task, reducing mundane realism.
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20
Q

Operationalise

A

Cleary stating what the vairables are

Ensuring that variables are in a form that can be easily tested. E.g a GCSE maths grade.

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21
Q

Hypothesis

A

A precise and testable statement which is based on an assumption of a relationship between variables.

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22
Q

Aim

A

An statement of what the reseacher intend to find out in a research study.

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23
Q

What is an experiment?

A

A research method where casual conclusions can be drawn becasue an IV has been deliberatley manipulated to observe the casual effect on the DV.

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24
Q

What are Standardised procedures?

A

A set of procedures that are the same for all p’s in order to be able to repeat the study.

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25
Debriefing
A post-research interview designed to inform participants of the true nature of the study and to restore them to the state they were in at the start of the study.
26
What is Counterbalancing?
An experimental technique usted to overcome order effects when using a repeated measures design.
27
What is a Experimental design
A set of procedures used to control the influence of factors as p's variables in an experiment.
28
What is an independent groups design?
P's are allocated to two (or more) groups representing different levels of IV. Allocation is usually done using random techiniques.
29
Matched pairs design
Pairs of p's are matched in terms of key variabls such as age and IQ.
30
Random allocation
Allocating participants to experimental groups or conditons using random techniques.
31
Repeated measure design
Each p's takes part in every conditon under test, I.e each level of the IV.
32
Order effect
In a repeated measure design an extraneous variable arising from the order in which conditions are presented. Eg fatigue effect
33
What are the strengths of Mean?
Most sensitive measure of central tendency as it includes all the raw data most suitable for interval or ratio data.
34
What are the limitations of Mean?
Can be biased by skewed (outlying) scores often means score is not one of the original scores (eg. 2.4).

Can not be representative of the data at all times eg average family size 2.4 children!
35
What is the strengths of Median?
- Not affected by extreme scores.
- Most appropriate for ordinal data 
- quick and easy to calculate 
- Can be more representative on a set of skewed scores
36
What is the limitations of Median?
- Not as sensitive as the mean. 

- Not used in further statistical calculations
37
What are the strengths of Mode?
- Not affected by the extreme scores 
- Can make more sense eg. average number of children in a family is 2 (mode) rather than 2.4
38
What is the limitations of Mode?
- Not v. useful if more than one modal score.

- Tells us nothing about the other scores
39
Ethical issues
Concern questions of right or wrong. They arise in research where there are conflicting sets of values between researchers and p's concerning the goals, procedure or outcomes of a research study.
40
What are the ethical issues for a laboratory experiment?
If deception used - would need to gain consent from the ethics committee or presumptive consent.
41
What are the ethical issues for a Natural experiment?
- Consent
- Invasion of privacy
- Deception
42
Give an example of a Natural experiment
Kiecolt- Glaser - Measuring stress and immune system response - Took blood samples one month before medical final exams. (Low-stress condition) and on the first day of final exams (High). 

Researcher did not create change in stress
43
Inter-observer reliability
The extent to which there is an agreement between two or more observers involved in observations of behaviour
44
Naturalistic observation
Observing spontaneously occurring behaviour in the participant’s own natural environment:
45
Controlled observations
-Occurs when the researchers control some variables
-Can occur in a laboratory or natural situations
46
Unstructured observations
Researchers record the behaviour they can see.
47
Advantages of Unstructured observations
provides a great deal of rich, qualitative data
48
Disadvantages of Unstructured observations
- can be difficult to analyse the tendency for observers to 
notice the most eye-catching behaviours that may not be most relevant
49
Structured observations
-Design a type of coding system to record participants’ behaviour
-Often made to record how often a type of behaviour appears
50
Advantages of Structured observations
- Simple to carry out 
- Quantative data which can be statistically analysed
51
Disadvantages of Structured observations
- Gives a very redistributed view of which is happening 

- Researcher may miss important behaviour
52
What at the two observational sampling methods for Structured observations?
Event sampling 

Time sampling
53
Event sampling
Taking count of each time a particular behaviour occurs (as in the behaviour checklist)
54
Time sampling
Recording observations at specific time intervals- eg recording behaviours every 30 seconds
55
Self-report techniques
The participants report their beliefs, attitudes and experiences to a researcher
56
What are the types of Self-report techniques?
Questionnaires - open & closed 

Interviews - Structured, unstructured & Semi-structured
57
What are the advantages of Questionnaires?
-Quick and cheap
- Large samples 
- Gain Qualitative and Quantitive date 
-Easy to Replicate
58
What are the weaknesses of Questionnaires?
- Misunderstanding (leading questions/wording)

- Biased samples 

- Social desirability (p’s may present in a positive light.
59
What are the types of Observations techniques?
Naturalistic/Controlled
Overt/Covert
Participant/Non-participant
60
Correlation
A method used to analyse data not a research method
61
What is a correlation used for?
Analyse the association between two variables, in this case co-variables
62
Strengths of Correlational Analysis
- Can be used when it would be unethical or impractical to manipulate variables 

- Justifies further research. - If correlation is significant may justify further research, if not significant canrule out any casual relationship
63
Weaknesses of Correlational Analysis
- cannot establish cause and effect - Only relationship between co-variables 

- May lack internal and external validity - method used to measure IQ may lack internal validity or the sample used may lack generalisability
64
Directional hypothesis (one/tail)
States the direction of the predicted different (or relationship in the correlational study) between two condition or two groups of participants.
65
Non-directional hypothesis (two/tailed)
Predicts that their is a difference (or relationship in correlational study) between two conditions or two groups of participants but doesn’t state the direction.
66
Null hypothesis
This predicts that a statistically significant effect or relationship will not be found.
67
Meta analysis
A research looks at findings from a number of different studies and produced a statistic to represent the overall effect.
68
Effect size
A measure of strength of the relationship between two variables
69
Strengths of meta analysis
- Increase validity of the conclusions drawn as they are based on a wider sample of participants.

- Allows us to reach an overall conclusion by having statistic to represent the findings of different studies
70
Limitations of Meta analysis
The studies are not truly comparable. - Conclusion may not all be valid
71
Content analysis
A observational study in which behaviour is observed indirectly in written or verbal material eg interviews, conversations, books, diaries or TV shows
72
Strengths of Content Analysis
- Based on observations - real communication that are current and relevant eg recent newspapers. High ecological validity 

- When sources can be retained or accessed by others eg back copies of magazines or videos of people. Finding can be replicated
73
Limitations Content analysis
- Observer has reduced the objectivity and validity findings as different observers may interpret the meaning of behavioural categories differently. 

Lack reliability and internal validity
74
Case study
A research investigation that involves a detailed study of a single individual, institution or event.
75
Strengths of a case study
- Provides rich, in-depth data, so informs that may be overlooked using other methods is likely to be identified.

 - useful to investigate instances of human behaviour and experience that are rare eg cases of people with brain damage responding to event such a london riots

 - Complex interaction of many factors can be studies in contrast with experiments where many variables are held constant
76
Limitations of Case studies
- difficult to generalise from individuals cases as each 1 has unique characteristics. 

- More ethical issues such as confidentiality 

- it is often necessary to use recollection of past events of the case history and may be unreliable.

- Researchers may lack objectivity as they get to know that case, or as theoretical bias may lead to them to overlook aspects of findings
77
Strengths of mean
Most sensitive measure of central tendency includes all the raw data. Most suitable for interval or ratio state
78
Limitations of Mean
- Can be biased by skewed (overlying) scores. 

- often mean score is not one of the original scores (2.4)

- Can not be very representative of the data at times eg average family is 2.4 children
79
Strengths of median
- not affected by extreme scores 
- Appropriate for ordinal (ranked) data
- it can be wiser to calculate the mean
80
Limitations of Median
- Not as sensitive as the mean as the exact values are not reflected in the final calculation 
- Not used in further statistics calculations
81
Strengths of Mode
- Unaffected by extreme values 
- It is much more useful for discrete data.
 - The only method that can be used when data is in categories i.e nominal data
82
Limitations of Mode
- Not a useful way of describing stats when there are several modes 

- It also tells us nothing about the other values in a distribution
83
Range
The difference between the highest and length west item in a date set. Usually 1 is added as a correction
84
Strengths are of range
East to calculate
85
Limitations of range
- affected by extreme values 
- Fails to take account the distribution of numbers eg does not indicated whether number are closely groups around the mean or spread out evenly
86
Standard deviation
The amount of variation in a data set. It assesses the spread of data around the mean
87
Strengths of Standard deviation
- is a precise measure of dispersion as it takes all the exact values into account 

- Not difficult to calculate if you have a calculator
88
Limitations of Standard deviation
- May hide some characteristics of the data set eg extreme values
89
Primary data
Information observer or collected directly from firsthand experience
90
Secondary data
Information used in a research study that was collected by someone else or for a purpose other than the current one eg published data or data collected in the past
91
Strengths of primary data
Researcher has control over the data. Data collection can be designed so it fits the aims and hypothesis of the study.
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Limitations of primary data
Lengthy and expensive process
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Strengths of secondary data
it Simpler and cheaper to access someone else’s data
94
Limitations of secondary data
For some studies, the data may not exactly fit the need of the study.
95
Collection techniques for primary data
Data collected by the researcher of the current study through any research method e.g. questionnaire observation experiment
96
Collection techniques for secondary data
E.g. governments to sticks data held by the hospital or other institution
97
explain how the study might be improved by using a matched pairs design
It makes elements that influence of participants variable therefore making it more reliable
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