Research Methods Flashcards

(84 cards)

1
Q

What are experimental methods ?

A

The manipulation of the independent variable to have an effect on the dependent variable, which is measured and stated in results
Either field, lab, quasi or natural

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

What is a hypothesis ?

A

Clearly states the relationship between the variables being investigated

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

What is an aim ?

A

A general statement made by the researcher tells us what they plan on investigating
Purpose of their study

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

What are the different types of hypothesis ?

A

Directional - states the direction of the relationship that will be shown between the variables, used when there has been a range of research carried out which relates to the aim, previous research would suggest a particular outcome
Non directional - does not state the direction of the relationship that will be shown between the variables, used when there has been no previous research carried out which relates to the studies aim, research is contradictory

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

What is the independent variable ?

A

Has been manipulated by the researcher or simply changes naturally to have an effect on the DV which is then measured
Properly test the effect of IV - the experimental condition and the control condition

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

What is the dependent variable ?

A

Dependent variable is measured by the researcher and has been caused by a change to the IV

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

Who do you operationalised variables ?

A

Researcher clearly defining the variables in terms of how they are being measured
variables should be defined and measured

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

What are extraneous variables ?

A

Any other variable which is not the IV that affects the DV and does not vary systematically with the IV

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

What are confounding variables ?

A

Any variable other than the IV that affects the DV, change systematically with the IV
Difficult for the researcher to be sure of the origin of the impact of the DV as the confounding variable could have been the cause

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

What are demand characteristics ?

A

Any cue the researcher or the research situation may give which makes the pts feel like they can guess the aim of the investigation
Cause pts to act differently than how they would usually act
Change their behaviour to fit the situation
Act in a way they think the researcher wants them to, may intentionally underperform to sabotage the study results
Affects validity of results

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

What is participant reactivity ?

A

Pts from the start of the experiment are trying to figure out what’s going on in the new situation they find themselves in

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

What is investigator effects ?

A

Participant reactivity can lead to investigator effects
Any unwanted influence from the researcher’s behaviour, either conscious or unconscious, on the DV

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

How do you minimise the effects of confounding and extraneous variables ?

A

Randomisation - use of chance to reduce the effects of bias from investigator effects
Standardisation - using the exact same formalised procedures and instructions for every single pts involved in the research process

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

Laboratory experiment

A

Special environment whereby different variables can be controlled
+ High degree of control
+ Replication
- Low ecological validity

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

Field experiment

A

natural environment, not in a lab but still with variables being well controlled
+ Naturalistic, high ecological validity
- Ethical considerations
- Loss of control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Quasi experiment

A

IV has not been determined by the researcher, instead it naturally exists
+Controlled conditions, replicable, high internal validity
- Cannot randomly allocate pts, confounding variables

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

Natural experiments

A

IV is not brought about by the researcher, would have happened even if the researcher had not been there
+High external validity
-Naturally occurring events, not replicable due to ethical issues
- Cannot be generalised due to being individual case studies

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

What is sampling ?

A

A small group of people from the target population

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

Opportunity sampling

A

Pts happen to be available at the time, recruited conveniently
+ Time saving, less costly
- Not representative
- Researcher bias, can controlled who they want to select

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

Random sampling

A

All members of the population have the same equal chances of being the one that is selected
A complete list of the target population is obtained
All names in the list are assigned a number
The sample is generated through the use of some lottery method
+ No researcher bias
- Pts may refuse to take part, volunteer sample
- Time consuming

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

Systematic sampling

A

Predetermined system whereby every nth member is selected from the sampling frame
Sampling frame is produced - a list of people in the target population
A sampling system is nominated or this interval may be determined randomly to reduce bias
Researcher works through sampling frame until the sample is complete
+ Avoids researcher bias
+ Fairly representative

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

Stratified sample

A

Reflects the proportions of people in certain sub groups within the population
Researcher identifies the different strata make up the population
Proportions needed for the sample to be representative are worked out
The pts make up each stratum are selected using random sampling
+ Avoids researcher bias
+ Representative as it accurately reflects the population
- Cannot reflect all the ways people are different

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Volunteer sample

A

Involves pts selecting themselves to be part of a sample
+ easy to collect, less time consuming
- volunteer bias
- May affect a certain type of person, cannot be generalised

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

Independent groups design

A

Only perform in one condition of the IV
Two groups of pts in each condition
+ No order effects
+Demand characteristics eliminated
- Participant variables
Random allocation - ensures that each pts has the same chance of being in one condition or the IV as another

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Repeated measures
Same pts take part in all conditions of the IV + Eliminates differences between pts + Not time consuming - Order effects Fixed through counterbalancing - this is when half of the pts do conditions in one order and the other half do it in an opposite order
26
Matched pairs
Pairs of pts are matched on some variable that has been found to affect the DV, one member of each pair does one condition and the other does another + No order effects - Time consuming and expensive to match pts - Large pool of potential pts needed
27
What is a pilot study ?
Small scale version of an investigation which is done before the real investigation is undertaken Carried out to allow potential problems of the study and the procedure to be modified to deal with these Allows money and time to be saved
28
What is a single blind procedure
Researchers do not tell the pts if they are being given a test treatment or a control treatment Ensure pts do not bias the results, avoids demand characteristics
29
What is a double blind procedure
Neither the pts nor the experimenter knows who is receiving a particular treatment Prevent bias in results Stops placebo effect reduces investigator affects
30
What is a control group
Sets a baseline whereby results from the experimental condition can be compared to results from this one Significantly greater change in experimental group compared to control, researcher able to conclude the cause of the effect was the Iv
31
Naturalistic observations
Watching and recording behaviour in the setting where it would normally take place + High ecological validity +High external validity - Replication can be difficult
32
Controlled observations
Watching and recording behaviour structured environment + Easy replication + Focus on particular aspect of behaviour - Low mundane realism = low ecological validity
33
Overt observations
Pts are watched and their behaviour is recorded with them knowing they are being watched + ethically acceptable, informed consent - Unnatural behaviour as pts know they are being watched - Demand characteristics
34
Covert observations
Pts are unaware that their behaviour is being watched and recorded + Natural behaviour, high internal validity + Removes participant reactivity - Ethical issues
35
Participant observations
Researcher who is observing is part of the group that is being observed + More insightful, increase validity of findings - Researcher may lose objectivity - Pts behaviour may change if they realise they are being watched
36
Non participant observations
Researcher observers from a distance so is not part of the group being observed + Researcher more objective - Lose valuable insight - Observer bias
37
What is observer bias ?
Observer's reports are biased by what they expect to see
38
How to solve observer bias
Inter observer reliability - two or more observers are observing and recording behaviour in the same way Reports are compared
39
Unstructured observation
Continuous recording where the researcher writes everything they see during the observation + more richness and depth of detail - Qualitative data difficult to record and analyse - Risk of observer bias
40
Structured observation
Researcher quantifies what they are observing using predetermined list of behaviours and sampling methods + Quantitative data easier to analyse and compare - Not much depth of detail - Difficult to achieve high inter observer reliability as filling the predetermined lists in is subjective
41
Behaviour categories
A target behaviour which is being observed is broken up into more precise components which are observable and measurable
42
Time sampling
Recording of behaviour within a timeframe that is pre established before the study - less time consuming, reduces number of observations - Only collect a small amount of data
43
Event sampling
Counting the number of times a particular behaviour is carried out by the target group or individual - good for infrequent behaviours + difficult to judge the beginning and ending of a behaviour - Complex behaviour observed, important details of the behaviour may be overlooked
44
What is a correlation
Mathematical technique that is used to investigate an association between two variables, co variables Variables are measured Only an association, no cause and effect relationship found Correlation coefficients- determines the strength and the relationship between the two variables
45
What are the different types of correlations
Negative correlation - one variable increases the other decreases negative gradient Positive correlation - one variable increases the other also increases Positive gradient Zero correlation - no relationship found between the co-variables
46
AO3 for Correlations
+ Secondary data, less time consuming - Difficult to establish a cause and effect relationship - Potential to be misused or misinterpreted
47
Qualitative data
Displayed in words, not numerical - Richness and depth of detail - Difficult analyse - Difficult to make comparisons with other data
48
Quantitative data
Displayed numerically + Easier to interpret - Lack of depth in detail - Not able to develop their opinions, low external validity
49
Primary data
Obtained first hand by the researcher - Requires time and effort - Expensive + Targets the exact info which the researcher needs
50
Secondary data
Information collected by someone other than the researcher + Expensive + Requires minimal effort + Data may be outdated or incomplete
51
Meta analysis
researcher combines results from many different studies and uses all the data to form an overall view of the subject they are investigating + more generalisability, larger amount of data is studied + Researcher able to review the evidence with more confidence as there is a lot of it - Publication bias - chooses to leave out negative results
52
Median
Arrange data from lowest to highest then find the central value + Not affected by extreme scores + Good ordinal data - does not use all data
53
Measures of central tendency
Mean -Total of all values in a set of data is divided by the number values + Good for interval data - Influenced by outliers
54
Mode
The most frequently occurring value in a set of data + useful for nominal data - not useful several modes
55
Measures of dispersion
Range - Minus the lowest score from the highest score + Easy to calculate - Affected by extreme values - Does not use all data
56
Distributions
Normal distribution is a symmetrical pattern of frequency data that forms a bell shaped pattern Skewed distribution is a spread frequency that is not symmetrical, instead the data all clusters to one end Positive skew - distribution of data is concentrated on the right Negative skew- Distribution is concentrated on the left
57
Peer review
Assessment of scientific work by experts in the same field, make sure all research is published is of high quality Know which research is worthwhile hence funding can be allocated to it Validate the relevance and quality of research Suggest possible improvements or amendments to research study - Publication bias involved in peer review - Anonymity is a problem - In peer review, any research that opposes mainstream theories tends to be suppressed
58
Implications of Psychological Research for the Economy
Psychopathology - treatments, workers able to return to work Attachment - role of father, mothers can return to work Social influence - Social influence leading to social change - environmental campaigns Memory - Eyewitness testimony, leading question, led to police using CI
59
Case studies
Detailed study into the life of a person which covers great detail into their background Examples - Little Hans, Clive Wearing + Permits investigation of situations that would be otherwise unethical or impractical - not generalisable to wider population as data is only gathered from one person - Time consuming and difficult to replicate
60
Content analysis
studying human behaviour indirectly by studying things that we produce Insight into the values, beliefs and prejudice of our society + External validity, already real world high mundane realism - Interpretative bias - the researcher may ignore some things but pay extra attention to others +Easy replication
61
How to conduct a content analysis ?
Identify hypothesis that you will investigate Create a coding system depending on what you are investigating Gather resources Conduct content analysis and record data in a table Analyse data which is descriptive and qualitative- allows themes, patterns and trends to emerge in data
62
Level of measurement
Nominal data - form of categories, discrete - one item can only appear in each category Ordinal data - represented in a ranking form, no equal intervals Interval data - based on numerical scales which include equal units of precisely defined size
63
Appropriate measures of each level of data
Nominal - Central tendency, Mode Ordinal - Median, Dispersion - Range Interval - Mean, Standard Deviation
64
Scientific Report
Abstract - summary of all key details of the research support, aim, hypothesis, method, results and conclusion, 150-200 words long, whether the research study is worth examining any further Introduction - info of past research on a similar topic whereby relevant theories, studies and concepts are mentioned Method - description of what the researchers exactly did when they undertook the study, should be sufficient detail included so that any other person is able to read this part of the report and replicate the investigation precisely Results - all findings from the study, presented even with inferential and descriptive statistics Discussion - considers what the findings mean for us and psychological theories Referencing - a list of all the sources were quoted or referred to into report, books - author date title of book place of publication publisher Journals - author date title of article journal name journal volume issue number page range
65
What is statistical testing
A way of determining whether hypotheses should be rejected or accepted See if results are statistically significant or if they have only occurred due to chance
66
How to conduct a sign test
State hypotheses Record the data and work out the sign Find the calculated for the sign test, S, number of times the less frequent sign occurs Critical value of S - use the calculated N value (total number of values with the ignored values excluded) and 0.05 there's a less than 5% probability that the results occurred by chance If S is lower than critical value - reject the null hypothesis, there is a significant difference If S is higher then critical value accept the null hypothesis, no significant difference State conclusion whereby you refer back to the hypothesis mentioning the IV and DV and support your conclusion with exact values
67
Choosing an inferential statistical test
design of study - unrelated design/ related design Level of data Difference or correlation is being measured Nominal, diff, unrelated - Chi-square Nominal, diff, related - sign test Nominal, correlation - Chi- square Ordinal, diff, unrelated - Mann- whitney Ordinal, diff, related - Wilcoxon Ordinal, correlation - Spearman's Rho Interval, diff, unrelated - Unrelated t-test Interval, diff, related - Related t-test Interval, correlation - Pearson's R
68
Significance
How sure we are about a correlation or difference existing Null hypotheses - no diff or correlation between the conditions Alternative - is a difference between the conditions
69
Probability
How likely it is for an event to happen usual level of significance is 0.05 P value is usually equal to or less then 0.05 findings have a 5% or less so researchers have a 95% confidence level that their results will find a difference Any risk attached to the research like a 'human cost' p values is set at 0.01
70
Type I
Optimistic error - incorrect rejection of a null hypothesis which is actually true, researcher claim to have found a significant difference when there actually isn't any (false positive)
71
Type II error
Pessimistic error, failure to reject the null hypothesis that is false, researchers claim that there is no significant diff when there actually is one (false negative)
72
Features of science
Paradigm and paradigm shifts - paradigm : set of shared ideas and assumptions within a scientific discipline paradigm shift - significant change in these central assumptions within a scientific discipline, resulting from a scientific revolution Theory construction and hypothesis testing - Theory : a set of general principles and laws which can be used to explain specific events or behaviours. Theory construction : gathering evidence from direct observation during investigations, Make different hypothesis from a theory, deduction - process of deriving a new hypotheses from an already existing one Falsifiability - theory cannot be considered scientific unless it allows itself to be proven untrue, Popper states that successful theories that have been constantly tested and supported simply haven't been proven false yet, hypothesis - deductive method, process of formulating hypotheses that can either be proved or disproved by experimentation Replicability - the extent to which scientific methods and their results can be repeated by other researchers across other contexts and circumstances Objectivity and empirical method - all possible biases from the researcher are minimised so that they don't influence or distort the research process, empirical method - evidence is collected through making direct observations and through direct experiences
73
Psychology as a science
Supporting arguments : + Findings from studies do positively impact society and individuals Against : - Not all research is generalisable - Interpretations can be subjective
74
What are the different ethical issues ?
Informed consent - pts must be told the purpose of the investigation, and potential risks, informed decision on participation Deception - deliberately withholding information from pts or misleading them, only acceptable when pts knowing aim would affect results, or deception will cause distress Protection from harm - must be protected by psychological or physical harm, pts reminded they have the right to withdraw Privacy and confidentiality - Right of privacy, pts have right to controlling info about themselves, difficult to avoid, confidentiality - rights pts have which concerns any personal data of theirs being protected
75
What is the solution to these ethical issues ?
Informed consent - Prior general consent, give permission to take part in many studies whereby one of them involves deception Presumptive consent - gathers opinions from a group like the pts in study but does not inform the actual pts Retrospective - pts asked for consent after they have pts in the study Deception - Debriefing, written or verbal, true nature of study revealed, pts told what their data will be used for, pts have right to choose to withhold or withdraw their data Protection of harm, Researcher should provide counselling, cost benefit analysis, before study, ethics committee pros and cons of study are weighed up to determine whether the study will be ethical Privacy and confidentiality - anonymity, researchers not recording any personal details of their pts so that none of the results data can be traced back to them, refer to pts using numbers or initials, pts reminded that their data will be protected
76
Questionnaires
Assess a person's thoughts or experiences through a number of different written questions + Cost effective + Easy to analyse - Take a long time to design - Difficult to assess the validity as biases such as social desirability bias Open question - when the questions are phrased in a way that the pts is free to answer however they like, qualitative data + Rich in detail and depth - Difficult to convert to stats data, more difficult to analyse Closed question - consists pf questions which restrict you to a fixed number of responses, quantitative data + Easy to analyse - Lack of depth and detail
77
Construction of questionnaires
Clarity - should be phrased clearly for the respondent on what answer is needed from them Avoid overuse of jargon, emotive language, double- barrelled question, double negatives and leading questions Sequencing questions - easy ones followed by harder ones, builds confidence Filler questions - questions have nothing to do with the aims of the investigation and are put in to distract the pts from guessing the real aim of the study Pilot study - ensure the questionnaire is suitable and amendments and improvements can be made
78
Interviews
Structured - a set of predetermined questions being asked during the interview + Easy replicable - Social desirability bias - Interviewer bias Unstructured - no predetermined questions, instead questions develop as the interview goes on +depth and detail +tailored to individuals they can provide more insight -Social desirability bias Semi-structured - most questions are already set up but interviewer is free to ask follow up questions
79
Construction and design of interviews
Recording info Ethical issues - informed consent, confidentiality Location - quiet room away from other people Neutral questions - make pts feel relaxed and help establish rapport
80
Reliability
How consistent the findings are Ensures DV is measured accurately, ensures outcome over time is the same, ensure that all the conclusions made are accurate and valid Internal reliability - how consistent something is within itself Assess - Split half method - randomly select half of the questions and put them in one form then do the same for the others, done separately External reliability - consistent results are produced regardless of when the investigation is used or who administers it Assess : test - retest method : researcher administers the same test on the same person on different occasions, sufficient time left so pts cannot recall answers, not too long attitudes change Inter - observer reliability : extent to which there is agreement between two or more observers involves in observing behaviours
81
Ways of improving reliability
Questionnaire - if produces low test retest reliability may requires some items to be deselected or rewritten, replace open questions with closed questions, less ambiguous Interviews - use same interviewer, all interviewers may be properly trained Experiments - 'reliable' because the researcher can exert strict control over many aspects of the procedure, experiment replicable Observations - making sure behavioural categories have been properly operationalised
82
What are the different types of validity
Extent of which results of the research study are legitimate Internal validity - whether the outcomes observed in an experiment are due to the manipulation of the IV and not any other factor External validity - factors outside of the investigation - generalisable to other settings, populations and eras Ecological validity - whether findings can be generalised to other situations and settings Temporal validity - Generalisable to other historical times and eras Population validity - generalisable to different populations of various ages, genders and cultures
83
Ways of assessing validity
Face validity - measure is scrutinised to determine whether it appears to measure what is supposed to, looking at it or expert does Concurrent validity - the extent to which a psychological measure compares to a similar existing measure, results obtained should either match or be similar to the results of the well established recognised test Predictive validity - refers to how well a test can predict future events or behaviours
84
Ways of improving validity
Experimental research - use a control group, better able to assess whether changes in the dependent variable were due to the effect of the independent variable Standardisation, single and double blind procedures Questionnaires - incorporate a lie scale within the questions in order to assess the consistency of a respondent's response and to control the effects of social desirability bias, remind pts that all data will remain anonymous Observations - Produce findings with high ecological validity as minimal intervention by researcher, especially in covert observations Qualitative methods - higher ecological validity as the depth and detail associated with case studies and interviews Researcher may still have to demonstrate the interpretative validity of conclusions - extent to which the researcher's interpretation of events matches those of their pts, demonstrated through coherence of researcher's reporting and inclusion of direct quotes for pts within the report Validity enhanced through triangulation - use of a number of different sources as evidence