Research Methods Flashcards

1
Q

What types of variables are there (4)

A
  • independent
  • dependent
  • extraneous
  • confounding
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is the independent variable

A
  • variable that the researcher manipulates in order to determine effects on the dependent variable
  • may be divided into levels, sometimes referred to as experimental conditions
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the controlled condition

A
  • a standard against which the experimental conditions can be compared to
  • IV is not manipulated at all
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the dependent variable

A
  • variable being measured
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are extraneous variables

A
  • variables other than the IV that could affect the DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are confounding variables

A
  • variables (other than the IV) that have affected the DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is operationalisation

A
  • defining the variables and explaining how they would be measured
  • necessary for any experiment to be successful
  • IV and DV both get operationalised
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are laboratory experiments

A
  • experiment carried out in a controlled environment (lab)
  • high amounts of control over IV and eliminate EVs
  • participants randomly allocated to condition
  • conducted in an artificial setting
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are advantages of lab experiments (3)

A
  • high control
  • cause and effect relationship
  • replicable => reliable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are disadvantages of lab experiments (2)

A
  • demand characteristics
  • lack of mundane realism / ecological validity => cannot generalise
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What are the different types of experiments (4)

A
  • lab
  • field
  • natural
  • quasi
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is a field experiment

A
  • carried out in real world
  • IV is manipulated to see effect on DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are advantages of field experiments (3)

A
  • high mundane realism / ecological validity => can generalise
  • cause and effect
  • low chance of demand characteristics
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are disadvantages of field experiments (3)

A
  • low control => low validity
  • less control over sample
  • hard to replicate
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are natural experiments

A
  • research takes advantage of a naturally occurring IV to see effect on DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are advantages of natural experiments (2)

A
  • high mundane realism / ecological validity => can generalise
  • useful when it is impossible/unethical to manipulate IV/sample in lab/field experiment
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What are disadvantages of natural experiments (3)

A
  • less control
  • difficult to replicate
  • hard to establish cause and effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What is a quasi experiment

A
  • contain a naturally occurring IV
  • however natural occurring IV is a difference between people that already exists (gender/age)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What are different types of observations (6)

A
  • non participant
  • participants
  • covert
  • overt
  • naturalistic
  • controlled
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What is an observation

A
  • when a research watches or listens to participants engaging in the behaviour that is being studied
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What is a non participant observation

A
  • when the researcher does not get directly involved with the interactions of the participants
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

What is a participant observation

A
  • when the researcher is directly involved with the interactions of the participants
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

What is an overt observation

A
  • researcher watches and records the behaviour of a group that knows it is being observed by a psychologist
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

What is a covert observation

A
  • psychologist goes undercover and does not reveal true identity
  • group does not know they are being observed
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
What is a naturalistic observation
- researcher observes participants in their own environment - no deliberate manipulation of IV
26
What is a controlled observation
- research observers participants in a controlled environment - allows for manipulation of IV
27
What are advantages of a naturalistic observation (3)
- low chance of observer effects - high mundane realism / ecological validity => can generalise - useful when manipulation of IV is impossible/unethical
28
What are disadvantages of a naturalistic observation (2)
- less control => low validity - hard to determine cause and effect
29
What are advantages of a controlled observation (2)
- cause and effect can be determined - high control
30
What are disadvantages of a controlled observation (2)
- low mundane realism / ecological validity => cannot generalise - observer bias / observer effects
31
What are behavioural categories
- specific and observable behaviours to be recorded during an observation
32
What is observer bias
- observer knows aims of study/hypotheses and this knowledge influences their observations
33
How can observer bias be avoided (2)
- interrater reliability - intrarater reliability
34
What is interrater reliability
- two observer agrees on a conclusion - each researcher observes the participants at the same time, but records observations independently - recordings then correlated using an appropriate statistical test to ascertain their level of agreement
35
What is intrarater reliability
- observation is video recorded so it can be watched several times to identify information that was previously overlooked
36
What are the the types of behavioural sampling (2)
- time sampling - event sampling
37
What is event sampling
- recording every time a certain behaviour or event occurs in a target individual
38
What is time sampling
- recording all behaviours within a give time frame
39
What is self report
- when participants provide details of their own feelings, thoughts and/or behaviour to the research
40
What are the different types of self report techniques (2)
- interviews - questionnaires
41
What are interviews
- interviews involve researchers asking questions in face to face situations - different types
42
What are the different types of interviews (3)
- structured - unstructured - semi structured
43
What is a structured interview
- all participants asked same questions in the same order - produces quantitative data
44
What is an unstructured interview
- informal in depth conversational exchange between interviewer and interviewee - provides qualitative data
45
What is a semi structured interview
- combines mixture of structured and unstructured techniques - quantitative and qualitative data
46
What are advantages of interviews (2)
- complicated or sensitive issues are best dealt with an interview - if participants misunderstand a question, this can be clarified
47
What are disadvantages of interviews (3)
- risk of interviewer effects - risk of social desirability bias - training is needed for interviews, and the process can be time consuming and expensive
48
What are interviewer effects
- when the interviewer may inadvertently affect respondent’s answer - can be unintentional and may even be a result of the interviewer’s appearance, manner or gender
49
What is social desirability bias
- people lie to present themselves in a positive light - particularly when discussing issues that may be socially sensitive - reduces validity
50
What are questionnaires
- participants are given a written set of questions and instructions on how to record their answers - focus on individual’s behaviour, options, beliefs and attitudes
51
What types of questions can be on questionnaires (2)
- closed questions - open questions
52
What are closed questions
- require participants to choose from fixed responses - quantitative data - can be collated and displayed easily - allow for easier comparison
53
What are open questions
- allow participant to answer in their own words - qualitative data - allow respondents to interpret the question as they wish - develop response with detail/depth - allow researchers to pursue a line of enquiry that may not have been predicted but comes to light because of a response by an interviewee
54
What are advantages of questionnaires (3)
- easy to collect large amount of data quickly - easy to collate when questions are closed - standardised => replicable
55
What are disadvantages of questionnaires (3)
- participants may misunderstand questions - low response rate - can have sample bias => only suitable for those willing and able to spend time on them => certain people would be more willing to fill in questionnaires
56
What is correlations
- a technique for analysing the strength and direction of the relationship between two variables
57
What are the different types of correlations
- positive => as one variable increases, so does the other - negative => as one variable increases, the other decreases - no correlation => no relationship between the two variables
58
What are the advantages of correlations (2)
- strength of relationship can be established - allows for predictions to be made
59
What are the disadvantages of correlations (3)
- correlational analysis does not demonstrate cause and effect - may be a third unknown variable influencing both - correlation only measures linear relationships, not curvilinear
60
What is an aim
- precise statement about the purpose of the study and what it intends ro find out
61
What is a hypothesis
- specific, testable statement about the expected outcome of an investigation - should be operationalised - first part of hypothesis needs to address whether the study predicts causation or correlation
62
What is the difference between causation and correlation
- causation => research predicts a difference in the DV because of manipulation of an IV - correlation => research predicts a relationship between the two variables being investigated
63
What are the different types of hypotheses (2)
- null hypothesis => states IV will have no effect on the DV - alternative hypothesis => predicts IV will have an effect on the DV => two categories
64
What are the different categories for an alternative hypothesis
- non directional hypothesis (two tailed) => does not state direction of predicted differences - directional hypothesis (one tailed) => states direction of predicted differences
65
What are pilot studies
- small scale investigations conducted before research - useful as they help identify whether there needs to be any modifications in the design of the planned study - also help to determine whether it would be feasible and worthwhile to conduct a full scale study
66
What is a target population
- group who researchers are studying and want to generalise their results to - sampling techniques are used to obtain a sample of the target population and are essential to avoid studying entire population - should be representative
67
What are the different sampling techniques (5)
- random sampling - systematic sampling - stratified sampling - opportunity sampling - volunteer sampling
68
What is random sampling
- every member of the target population has same chance of being selected - like to be representative so findings can be generalised (positive) - difficult to get full details of target population and not all selected to take part will be willing to (negative)
69
What is systematic sampling
- participants are selected by taking every Nth person from a list - simpler than random (positive) - can interact with a hidden periodic trait (negative)
70
What is stratified sampling
- involves classifying the target population into categories and then randomly choosing a sample that consists of participants from each category in the same proportions as they appear in the target population - all groups in target population included (positive) - time consuming (negative)
71
What is opportunity sampling
- selecting participants who are readily available and willing to take part - easiest and most practical method (positive) - high chance sample is not representative (negative)
72
What is volunteer sampling
- people self selecting to take part in a study - research usually advertises for people to take part in study - saves time (positive) - certain type of person is likely to volunteer => unrepresentative (negative)
73
What is the experiment design
- how the participants are organised
74
What are the different types of experiment designs
- independent groups - repeated measures - matched pairs
75
What is an independent groups design
- different participants used in each conditioned - randomly allocated to each condition
76
What are advantages of independent groups design (3)
- order effects do not occur - reduced chance of demand characteristics - same task/materials can be used in all conditions
77
What are disadvantages of the independent groups design (2)
- more participants needed - more chance of different results due to participant variables rather than manipulation of IV
78
What is a repeated measures design
- each participants is tested in all conditions of the experiment
79
What are order effects
- when the sequence in which participants take part in condition influences their performance - participants may also get bored/tired when being asked to take part in more than one condition
80
What are advantages of a repeated measures design (2)
- no participant variables - half as many people needed compared to independent groups design
81
What are disadvantages of a repeated measures design (3)
- order effects may affect results => can be avoided by counterbalancing - demand characteristics more likely - takes more time, especially if a time gap between different conditions is required
82
What is counterbalancing
- half participants do condition A then B while other half do the other way - does not eliminate order effects but controls impact of order effects and allows order effects to be evenly distributed across both conditions
83
What is a matched pairs design
- different participants are used in all conditions - however participants in two groups are matched on characteristics that are important for that study
84
What are advantages of a matched pairs design (3)
- less risk of order effects - less risk of demand characteristics - participant variables unlikely as groups have been closely matched
85
What are the disadvantages of matched pairs design (2)
- twice as many participants needed compared to repeated measures design - matching process is difficult and time consuming
86
What are different extraneous variables (3)
- participant variables - environmental variables - experimenter variables
87
What are participant variables in terms of extraneous variables
- characteristics of participant that may affect DV - matched pairs and repeated measure can prevent this
88
What are environmental variables in terms of extraneous variables
- factors in the environment that could affect the DV - avoided through standardisation
89
What are experimenter variables in terms of extraneous variables
- person collecting data has knowledge of what the research aim is and that knowledge affects data obtained - can be overcome by double blind technique
90
What are ethics
- high quality research involves good ethical practise and ethical issues must be fully considered before research is conducted - most research institutions have ethical committees
91
What are different forms of ethics (6)
- informed consent - protection from harm - right to withdraw - confidentiality - deception - debriefing
92
Explain what informed consent is
- inform participants about the objectives where possible - no pressure to consent, can withdraw at any time - data will be confidential and can ask questions - full debriefing occurs at the end - different types
93
What are the different types of informed consent (3)
- presumptive => consent from people with a similar background to participants => assume they will also consent - prior general => agree to be deceived but don’t know how or when => aim is withheld - retrospective => asking for consent after study
94
Explain what protection from harm is
- researchers have a responsibility to protect participants from physical and psychological harm - risk of harm should not be greater than in ordinary life - stop study immediately if they suspect harm
95
Explain what right to withdraw is
- at start of research, participants should be made aware they can leave at any time - difficult to implement during covert observations - should be made aware they can withdraw data in future
96
Explain what confidentiality is
- participants’ data is confidential and should not be disclosed to anyone unless it has been agreed in advance - numbers/letters used instead of names when published
97
Explain what deception is
- cannot intentionally with old information or deliberately mislead them without scientific justification - sometimes unavoidable to prevent demand characteristics - ethics committee conducts cost benefit analysis to determine whether potential harm is lower than potential gains
98
Explain what debriefing is
- takes place after study - participants told aim of study and information about other conditions - check welfare - remind about right to withdraw and right to confidentiality - allow them to ask questions - does not provide justification for unethical aspects of research
99
What is peer review
- process of research proposal being assessed for merit before research is conducted - panel decides if the research is worth funding - peer review happens again before research report is published
100
What happens during a peer review
- psychologists conduct an independent scrutiny of a research report before deciding whether it should be published - considered in terms of its validity, significance and originality - appropriateness of the methodology and experimental design used are also assessed
101
What is the purpose of peer review
- ensure quality and relevance of research, to ensure accuracy of findings, and to evaluate proposed designs - prevents dissemination of irrelevant findings, unwarranted claims, unacceptable interpretations, personal views and deliberate fraud
102
What are positive evaluation points for peer review (3)
- increases probability of finding errors - double blind procedure can be used - involves specialist psychologist
103
What are negative evaluation points for peer review (2)
- journals prefer positive results to increase standing => bias in published research => misperception of facts - can be an unfair process => some reviewers have connections with certain universities => bias/favouritism
104
How has social influence affect the economy
- understand how behaviours/attitudes change - used to encourage people to engage in more healthy behaviours - results in healthier people - reduced pressure on NHS resources and people taking less time off of work sick, improving productivity
105
How has memory affect the economy
- cognitive interview - imporved amount of accurate information - less money spent on wrongful arrests/imprisonments and wasted police time will be vastly reduced
106
How has attachment affect the economy
- shown importance of father - normal for households to have flexible working arrangements - parents better equipped to maximise income and contribute more effectively to the economy
107
How has mental health affect the economy
- direct cost of mental health issues on economy in England predicted to be £22.5bn annually - absence from work costs £15bn /year => 1/3 due to mental health - research on effective drug therapies have helped people manage mental health and take less time off work - reduced costs to economy - also helps improve productivity
108
What are the different types of data
- quantitative - qualitative - primary - secondary
109
What is quantitative data
- involves numbers and can be measured objectively - immediately quantifiable => DV => closed questions in experiment => structured interviews => tally of behavioural category in observation
110
What is qualitative data
- involves words - based on subjective interpretation of language - only quantifiable if put into categories and frequency is county => open questions => transcript from unstructured interview => researchers describing what they see in an observation - challenging to analyse as it relies on interpretation and is not easy to collate
111
What is primary data
- collected directly by researcher for the purpose of the investigation
112
What is secondary data
- information that was collected for a purpose other than the current use
113
What is a meta analysis
- the process of combining results from a number of studies on a particular topic to provide an overall view - allow data to be viewed with more confidence - results can be generalised to larger populations - can be prone to publication bias
114
How can quantitative data be presented
- tables - bar charts - histograms - line graphs - scattergrams
115
What are tables
- not raw scores - converted into descriptive statistics - paragraph underneath explaining data
116
What are bar charts
- used for nominal data - shows frequency data for discrete variables
117
What are histograms
- used for ordinal and interval data - bars are proportional to frequencies
118
What are line graphs
- used for ordinal or interval data - points connected by lines - show change in value over time
119
What are scattergrams
- relationship between covariables - correlation shown
120
What are distributions
- normal distribution => most people located in middle => mean, mode and median all in the middle => ends never touch x axis - skewed distribution => positive skew => central tendencies on the left side => negative skew => central tendencies on the right side
121
What are descriptive statistics
- analyse data to describe/show/summarise it - central tendency and dispersion
122
What are central tendencies
- central value for a set of data - mean, median, mode
123
What are measures of dispersion
- how spread the data is - range => difference between highest and lowest value - standard deviation => average amount each score differs to mean
124
What are the different types of statistics
- descriptive - inferential
125
What are descriptive statistics
- measures of central tendency and measures of dispersion
126
What are inferential statistics
- when a sample is used to test something and the findings are generalised to the target population - inferential statistics are used to see if results are significant => work out probability (p) that something occurs due to chance and not the IV => accepted level of probability tends to be p<0.05 (less than 5%)
127
What is a sign test
- can only be used when there is one group of participants and numerical data => repeated measures design => quantitative data => calculating difference between data
128
How is a sign test carried out
- state hypothesis - record data and sign (difference between set 1 and set 2) => sign depends on whether difference is positive or negative - add up + and - values and select the smaller value which is the S value - find the critical value using N and the table, compare this to the S value => S must be equal to or less than the critical value for significance to be shown
129
Hypothesis test conclusions
- if S≤Critical Value = Significant => reject H0 and accept H1 - if S>Critical Value = Not significant => accept H0 and reject H1 - H0 = Null Hypothesis - H1 = Alternative Hypothesis
130
What is a content analysis
- method used to analyse qualitative data => interview transcripts, documents, texts => allows qualitative data to be transferred into quantitative - research uses coding units => e.g. positive/negative words and count them
131
How is a content analysis carried out
- data is collected - research reads data, making themselves familiar - research identifies coding units - data is analysed by applying the coding units - tally is made of the number of times a coding unit appears
132
What is a thematic analysis
- method for analysing qualitative data involving identifiying and reporting patterns in material => TV ad, interview transcripts
133
How is a thematic analysis carried out, use the example of an interview
- a transcript of the interview is made - coding units are used to initially analyse the transcript - coding units are reviewed to look for themes
134
What are positive evaluation points for content analyses (3)
- reliable => not open for interpretation - easy and not time consuming - allows for statistical analysis to be conducted
135
What are negative evaluation points for content analyses (2)
- causality cannot be established as it merely describes the data - cannot extract deeper meaning/explanation from data for the patterns as it is only descriptive
136
What are case studies
- involve detailed research into an individual/group/institution - scientific approach - objective and systematic
137
What is the significance of case studies
- involve a small sample size - rare and fascinating behaviour - can be either qualitative or quantitative data - can be done over a long time => longitudinal
138
What are positive evaluation points for case studies (2)
- rich and detailed insights into behaviour => qualitative valid data collected - can investigate rare/unusual behaviour which would be unethical to do otherwise
139
What are negative evaluation points for case studies (3)
- small sample size => difficult to generalise, may lead to researcher bias (subjective selection and interpretation of results) - little control over variables => difficult to establish causal relationship - rare behaviour difficult to be replicated => reduced reliability
140
What is reliability
- the consistence of a research study or a measuring test
141
What are the different types of reliability
- internal reliability - external reliability
142
What is internal reliability
- extent to which a measure is consistent within itself - can be assessed using split half method
143
What is the split half method
- measures the extent to which all parts of the test contribute equally to what is being measured - compare results of one half to the other (split in any way) - if there are similar results, there is internal reliability
144
What is external reliability
- extent to which a measure varies from one to another - can be assessed using test retest
145
What is a test retest
- same test on two separate occasions - same participants - results are correlated on scattergraph - strength can be assessed using Spearman’s Rho or Pearson’s R - degree of reliability is determined by the correlation and statistical table - should have a correlation of 0.8 for a strong correlation => same with interrater reliability
146
What is validity
- whether a measure is actually measuring what it intends to
147
What are the different types of validity
- internal validity - external validity
148
What is internal validity
- when effects observed are due to the IV and not chance - causal relationship can be established - improved by controlling EV => standardises instructions, counterbalancing - different types
149
What are the different types of internal validity
- face validity => when something appears at first sight to represent what is being measured => improved by expert examination - concurrent validity => validity of a new test can be compared to an older established test where the validity is known (e.g. Stanford-Binet IQ Test) => improved by removing irrelevant and ambiguous questions
150
What is external validity
- extent to which findings can be generalised => improved by using natural settings and random sampling
151
What are the different types of external validity
- ecological validity => accurately reflects normal circumstances - temporal validity => reflects behaviour at different time periods - population validity => generalised to the wider population
152
What are the key features of science
- empirical methods - paradigms and paradigm shifts - objectivity - replicability - falsifiability - theory construction
153
Explain empirical methods as a feature of science
- method of gaining knowledge which relies on direct observations or testing - separates unfounded beliefs from real truth
154
Explain paradigms are a feature of science
- shared set of assumptions and agreed methods => psychology is seen as a pre science => lacks universal acceptance of paradigms => too many internal disagreements and conflicting approaches
155
Explain paradigm shifts are a feature of science
- when the results of a scientific revolution occurs - a signing change in the dominant unifying theory of a scientific discipline occurs and causes a paradigm shift - occurs in two stages
156
What are the two stages of a paradigm shift
- one theory remains dominant => some researchers question the accepted paradigm and have contradictory research that disagrees => counter evidence accumulates against main paradigm => present paradigm might then be overthrown due to emergence of a new one - established science makes rapid progress and a scientific revolution occurs due to the paradigm shift
157
Explain objectivity are a feature of science
- dealing with facts in a way that is unaffected by beliefs, options, feelings or expectations - good researcher keeps a critical distance from research - high objectivity makes research replicable - basis of empirical method
158
Explain replicability are a feature of science
- extent to which findings can be repeated in different contexts and settings => guarding against scientific fraud => check to see if results were gained due to a fluke cause by EV or CV => reliable => validity - highest in lab, lowest in observations
159
Explain falsifiability are a feature of science
- the notion that scientific theories can potentially be disproved by evidence - Popper (1969) => genuine scientific theories should be tested if not been proven false - yet => good sciences are constantly challenged => not disproved as strong => pseudoscience cannot be falsified, e.g. Freud
160
Explain theory construction are a feature of science
- constructed via hypothesis testing and retesting - based on results of a range of work conducted by many researchers - must be testable and falsifiable - split into two methods
161
What are the methods of theory construction
- deductive reasoning - inductive reasoning
162
Explain the stages of deductive reasoning
- propose a theory - develop a hypothesis - test the theory - draw conclusions
163
Explain the stages of inductive reasoning
- observe facts about the environment - develop a hypothesis - test the hypothesis - draw a conclusion - devise a theory
164
What are the different components of a psychological report (7)
- title - abstract - introduction - method - results - discussion - reference
165
Explain the title component of a psychological report
- provide a clear focus involving key variables
166
Explain the abstract component of a psychological report and what is included (10)
- conscious summary => 150-200 words - background research - aims - H0 - H1 - research methods and procedure - experimental design - sample used and sampling method - brief account of findings => statistical test, results, significance level - conclusion - limitations/implications
167
Explain the introduction component of a psychological report
- previous research (review of related research) - why it was studied - general discussion => become focused - aim (maybe H0 and H1)
168
Explain the method component of a psychological report
- design - sample - apparatus / materials - procedure
169
Explain the results component of a psychological report
- descriptive statistics - inferential statistics - qualitative data => categories and themes - H0 and H1, accepted or rejected
170
Explain the discussion component of a psychological report
- interpret results => summary (some explanation about results) => relationship to background research => limitations of methodology and modifications => implications and suggestions
171
Explain the reference component of a psychological report
- full details of journals / books referenced - journal references => surname, first name, date of publication, title, volume, page number - book references => surname, first name, title, place of publication, publisher
172
What is the level of statistical significance, chance, significance level and probability
- LoSS => level at which H0 is rejected - chance => something which has no real cause - SL => level of testing - p => a numerical measure that determines whether results are due to chance or are significant
173
What is the conventional SL used
- p<0.05 or less than 5% - probability the findings were due to chance is 5% - 1% is used for critical and important findings
174
What are the different types of errors that can occur from hypothesis testing
- Type I => rejected H0 even though the findings were due to chance - Type II => accepted H0 even though there was a real difference
175
What are levels of measurement
- used to try categorise data into types so most appropriate statistical test can be used
176
What are the different levels of measurement
- nominal - ordinal - interval
177
Explain nominal as a level of measurement
- categorical - the data consists of the numbers of participants that might fall into different categories - person can only be placed in one category
178
Explain ordinal as a level of measurement
- ordered - data can be placed in rank order from lowest to highest - ordinal scale can consist of measurements than are of unequal intervals - data is concerned with the order that the data can be presented in
179
Explain interval as a level of measurement
- data has fixed and even intervals (differs from ordinal data and that has unequal intervals) - units of data are fixed and have the same distance throughout the range
180
What are different types of statistical tests
- parametric - non parametric
181
What are examples of parametric tests
- Pearson’s R - Related T Test - Unrelated T Test
182
What are examples of nonparametric tests
- Chi Squared - Sign Test - Spearman’s Rho - Mann Whitney - Wilcoxon
183
How to decide which statistical test to you
- does the research involve a test of difference or a test of association/correlation - if research uses a test of difference, is it an independent measures design or a repeated measures/matched pairs - which level of measurement is being used: nominal, ordinal or interval - is the test parametric or non parametric
184
What is a way to remember statistical tests
- carrots should come - mashed with swede - under roast potatoes
185
What is the table for statistical tests KNOW THIS
186
When doing a non parametric test, what do you need to look out for
- Spearman’s Rho => calculated value ≥ critical value - Sign Test => calculated value ≤ critical value - Mann Whitney => calculated value ≤ critical value - Chi Squared => calculated value ≥ critical value - Wilcoxon => calculated value ≤ critical value
187
Explain Spearman’s Rho
- used when we wish to test relationship or correlation between two variables - data should be ordinal - data are in related pairs - non parametric test - calculates strength between two variables
188
Explain Mann Whitney
- test used when we are looking for a test of difference - used when we have an independent group design - data is ordinal or interval - test is non parametric
189
Explain Chi Squared
- can be used for either a test of association or for a test of difference - used for test of difference if there is an independent measures design - nominal data - non parametric test
190
Explain Wilcoxon
- measure test do difference - repeated measures design or matched pairs design - data is ordinal - non parametric test
191
How to justify using a non parametric test
- refer to whether it was a test of difference, correlation or association, what design was used and what the level of measurement was - calculate results of statistical test - compare results to critical value - mention SL selected and whether hypothesis was one or two tailed - state whether experimental and null hypothesis were accepted or rejected
192
When doing a parametric test, what do you need to look out for
- Related T Test => calculated value ≥ critical value - Unrelated T Test => calculated value ≥ critical value - Pearson’s R => calculated value ≥ critical value
193
Explain Related T Test
- used when we wish to test a difference - repeated measures - interval data - parametric test
194
Explain Unrelated T Test
- looking for a test of difference - independent group design - level of measurement is interval - parametric test
195
Explain Pearson’s R
- investigates correlations or relationships between variables - level of measurement is interval - parametric test