Research Methods Flashcards

1
Q

What is an aim

A

A statement which indicates the researcher’s intentions

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

What is the structure of an aim
Give the music example
Give the Loftus and palmer example

A

To investigate the impact of —– on ——
To investigate the impact of different genres of music on students performance on a maths test
To investigate the impact of leading questions on recall accuracy

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

What is an independent variable
Give an example of IV in music and Loftus and Palmer

A

A variable that is manipulated during an experiment
Genre of music either Jazz/Pop
Verb used either smashed/collided/contacted/hit/bumped

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

What is a dependent variable
Give an example of DV for music and Loftus and Palmer

A

Variable that is measured in an experiment
Students marks on a math test out of 100
Estimated speed in mph given by participants

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

What is an extraneous variable
Give examples of extraneous variables for music

A

A variable aside from the IV which cab impact the DV and its impact does not systematically change with conditions(affects all conditions)
Individual differences/Volume/Time/Quality of resources

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

What is a confounding variable
Give an example

A

A variable aside from the IV that can have an impact on DV and its impact does systematically change with conditions(affects some conditions)
In one room, there are loud kids outside, in the other room it is quiet outside

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

What is the template for hypothesis
Give an example for music and Loftus and Palmer

A

There will be a significant increase/decrease/difference in the DV when IV1 compared to IV2
-There will be a significant increase in the participants mark out of 100 on a maths test when participants revise for maths listening to jazz music compared to pop music
-There will be a significant increase in the estimated speed in mph given by the participant when the verb used in the question is smashed compared to when the verb is contacted

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

Define operationalisation(dv defenition)
Why do we operisationalise the DV

A

When you make a behaviour or a trait measurable numerically and specifically
-Allows you to do a statistical analysis with the results
-Allows you to compare conditions

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

Why are two types of hypothesis

A

Null(no significant difference) and Alternate(Increase/Decrease/Difference)

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

Give an example for null hypothesis and alternate hypothesis for music

A

NULL There is no significant difference in the participants marks out of 100 on a maths test when they listened to jazz music compared to pop music
ALTERNATE There is a significant increase in the participants marks out of 100 on a maths test when they listened to jazz music compared to pop music

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

What are two types of alternate hypothesis

A

Directional hypothesis(Increase/Decrease)
Nondirectional hypothesis(Difference)

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

Give an example of a directional hypothesis and non directional hypothesis for music

A

DIRECRIONAL There will be a significant increase in participants marks out of 100 on a maths test when they listened to jazz music compared to pop music
NONDIRECTIONAL There will be a significant increase in participants marks out of 100 on a maths test when they listened to jazz music compared to pop music

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

When do you give a directional hypothesis
When so you give a non directional hypothesis

A

DIRECTIONAL When previous researchers suggest a direction of change
NONDIRECTIONAL When there is no previous research
If there is contradictory research

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

What is an experiement

A

A scientific study to investigate behavior
Involves manipulation of the IV to measure the effects on the DV

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

What are the 4 types of experiments

A

Laboratory experiments
Field experiments
Natural experiments
Quasi experiments

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

Laboratory experiments
Strengths
Weaknesses

A

THE RESEARCHER MANIPULATES THE IV+HIGH LEVELS OF CONTROL(ARTIFICIAL)+TAKES PLACE IN AN ARTIIFICIAL SETTING
STRENGTHS: High replicability - high levels of control over variables - establish standardised procedures - replicated by other researchers to check is findings are consistent
High levels of control - Researched can manipulate the method to eliminate extraneous variables - Stronger cause and effect relationship between IV and DV - confident that it is the IV that leads to the DV
WEAKNESSES: low ecological validity - takes place in an artifical setting with high levels of control - the setting will not be reflective of participants everyday environment - behaviour showed by participants will not be reflective of everyday life - reduces validity

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

Natural experiments
Strengths
Weaknesses

A

TAKES PLACE IN A REAL LIFE SETTING+NO CONTROL OVER VARIABLES+IV PCCURS NATURALLY+RESEARCHER HAS NO CONTROL OVER IV
STRENGTHS: High ecological validity - takes place in an real life setting with no control - setting will be reflective of participants everyday environment - behaviour showed by participants will be reflective of everyday life - reduces validity
WEAKNESSES: Low replicability -
No control over variables - can’t establish standardised procedures - can’t be replicated by other researchers to check is findings are consistent
No control over variables - Researchers can’t manipulate the method so no extraneous variables are eliminated- weaker cause and effect relationship between IV and DV - can’t be confident that it is the IV that leads to the DV

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

Field experiments
Strengths(Comparing field to lab)
Weaknesses(Comparing field to lab)

A

RESEARCHER MANIPULATES IV+TAKES PLACE IN A NATURAL ENVIRONMENT+SOME CONTROL OVER VARIABLES
Strengths: Field experiments have a higher ecological validity than lab experiments - field experiments take place in a more natural setting - setting will be more reflective of participants everyday environment than lab experiments - behaviour shown by participants will be more reflective of their everyday lives than lab experiments - field experiments are more valid than lab experiments
Weaknesses
Field experiments have a lower replicablity than lab experiments- field experiments have lower levels of control over variables in comparison to lab experiments- cannot establish standardised procedures as well as lab experiments - method cannot be replicated by other researchers as well as lab experiments - less likely to check reliability
Field experiments gave lower levels of control compared to lab experiments - less able to manipulate method so less extraneous variables are eliminated than lab experiments - field experiments have a weaker cause and effect relationship between the IV and DV than lab experiments- less confident that it is the IV that causes the DV - field experiments are less valid than lab experiments

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

Quasi experiments
Strengths(example)
Weaknesses

A

NO CONTROL OVER IV+IV OCCURS NATURALLY+IV IS BASED ON PARTICIPANTS CHARECTERISTICS
STRENGTHS: Allows the researcher to investigate sharecteristics and abnormal behaviour that would be difficult or unethical to induce as an IV within an experimental setting
(E.g. if someone already has anorexia, it it ethical to investigate them howver if you make someone develop anorexia for the sake of your experiment, that is unethical as it is causing harm to participants)
WEAKNESSES: Not possible to randomly allocated participants to conditions as participant traits determine what condition they will be a part of so it is difficult to balance out any other individual differences across both conditions which can impact the findings, can’t be confident that it is the IV affecting the DV and not other individual differences

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

What is reliability
How do you test reliability
How do you improve reliability

A

-Reliability is when results in an experiment remain consistent Overtime
-Get all your participants data using a method, after a period of time, use the same method on the same participants and gather a second set of data, compare the results of the 1st and 2nd time using the method for each participant using a correlation analysis, if there is a strong positive correlation between the 1st and 2nd time using the method and the correlation coefficient is greater than 0.8, there is high reliability
-You can improve reliability by operationalising the DV, reducing the EV, high control allows you to recreate the environmental setting and variables exactly how they occurred so other researchers can repeat the method to check for similar findings which increases reliability, standardised procedures

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

What is internal validity
Explain using examples

A

Internal validity is when the experiment measures what it intends to measure
For example, in an experiment if you intend to measure the effects of the IV on DV and there are EVs that you don’t realise are present, you will be measuring the impact of EV aswell on your DV so it has low internal validity

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

What is external validity
Explain the 3 examples of external validity

A

How well the findings can be applied beyond the experiment
1) Ecological validity- How well findings can be applied to real life behaviour
2) Population validity- How well findings can be applied to everyday member of the target population
3) Temporal validity- How well findings can be applied to a different time

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

What are the 3 types of experimental designs

A

Independent groups
Repeated measures
Matched Pairs design

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

EXPERIMENTAL DESIGN
What is an independent group
Strengths
Weaknesses

A

Each participant only takes part in one condition
A strength of independent measures is it is less prone to demand characteristics as participants only take part in one condition, less likely to work out aim of the experiment, less likely to show unnatural behaviour to fit the aim or impress the researcher, can be confident that the manipulation of the IV causes the DV, not the EV, increases validity of the findings

A strength of independent measures is the findings are not affected by order effect as each participant only takes parts in one condition so less likely to be affected by boredom or tiredness as they would be if this was a repeated measure so we can be confident that it is the manipulation of the IV causes the DV, not the EV, increases validity of the findings

A weakness of independent measures is the findings can be affected by individual differences because two different groups of people are being compared in each condition and it is possible that one group of people is naturally better at the task than the other group so we can not be confident that it is the manipulation of the IV causes the DV, not the EV individual differences, decreasing validity of the findings

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
EXPERIMENTAL DESIGNS What is repeated measures Strengths Weaknesses
Every participant takes part in each condition A strength of repeated measures is the findings are not affected by individual differences because the same groups of people are being compared in each condition so one condition can't naturally be better at the task than another group so we can be confident that it is the manipulation of the IV causes the difference in the DV, not the EV individual differences, increasing validity of the findings A weakness of repeated measures is it is more prone to demand characteristics as participants take part in all condition, more likely to work out aim of the experiment, more likely to show unnatural behaviour to fit the aim or impress the researcher, can not be confident that the manipulation of the IV causes the differences in DV, not the EV, decreases validity of the findings A weakness of repeated measures is the findings are affected by order effect as each participant takes part in both conditions so so they might be bored or tored when going through the second condition so their performance will be worse so we can not be confident that it is the manipulation of the IV causes the differences in DV, not the EV, increases validity of the findings
26
Matched pairs design Explain how you create the pairs Strengths Weaknesses
All participants take a pretest before the experiment on a variable related to the study Rank participants based of the performance 1st and 2nd paired as they have a similar ability, 3rd and 4th paired and this continues until all the participants are in a pair From each pair, one person is randomly allocated into condition 1, the other person gets randomly allocated to condition 2 STRENGTHS: It reduces individual differences as participants vave meen matched on their prior abilities and individual traits. Therefore, you can be confident that is the manipulation of the IV that leads to differences in the DV, not the EV Findings are not affected by order effects as participants only take part in one condition so there are less likely to be affected by boredom or tiredness when going through the second condition, Therefore, you can be confident that is the manipulation of the IV that leads to differences in the DV, not the EV Less prone to demand characteristics as participants only take part in one condition so are less likely to work out the aim of the experiment so are less likely to show unnatural behaviour to fit the aim or to impress the researched, Therefore, you can be confident that is the manipulation of the IV that leads to differences in the DV, not the EV WEAKNESS: The process of testing participants ability prior to the experiment and then pairing them up can be time consuming so doing this takes longer than independent groups or repeated measures
27
What are the 4 methods of control
Counter balancing Random allocation Standardisation Randomisation
28
How do we do counter balancing and why do we do it
Divide the sample into 2 subgroups of equal sizes. Subgroup 1 goes through condition A first and then condition B. Subgroup 2 goes through condition B first and then condition A. This ensures we balance out the impact of order effects across both conditions so that both conditions are equally affected by the impact of order effects. As a result, we can be confident that it is the manipulation of the IV causing differences in the DV, not due to EV(Order effects)
29
How do we do random allocation and ehy do we do it
Put the names of all participants in your sample in individual pieces of paper and put them all in a hat. Given there are 50 ppt, pick 25 names and they will all go to condition A. Pick 25 names and they will all go to condition B. OR Put 25 individual pieces of paper with A and 25 individual pieces of paper with B in the same hat. Participants pick paper themselves and if they pick A, they go to condition A, if they pick B, they go to condition B. To ensure ppt of a particular type do not all end up systematically in the same condition, therefore individual traits or characteristics are spread across both conditions To ensure the researchers don't knowingly allocate participants of a particular type to one condition in order to prove their hypothesis to be true
30
How do we do randomisation and why do we do it
Put all the words that participants are going to see on individual pieces of paper in a hat. Pick out words put of the hat one by one. The order in which words are pulled out of the hat will be the order in which participants see the information To ensure that participants do not see words/images in an order that has been systematically changed to elicit a particular response (e.g. not all the happy words at the beginning of the list and sad words at the end of the list)
31
Define standardisation How do we do standardisation and why do we do it
To ensure all participants are treated the same in an experiment and everything is kept the same apart from the IV Ensure amount of time given same, difficulty of task is same, treatment same(e.g. same neutral tone with everyone), Interviewer is same sex as interviewee, everyone given same resources -To ensure all participants recieve the same fair treatment and to prevent one condition from having an unfair advantage over the other condition which can lead to innacurate results which reduces the validity
32
What is investigator effects Explain one way we can reduce investigator effects
Researcher unknowingly or unknowingly demonstrates a behaviour or through their charecteristics, will influence the participants behaviour, this impacts the findings of the study Double blind research: Researcher and participant do not know which condition the participant is in, this reduces the investigator effect so the Researcher can't knowingly or unknowingly change their behaviour to influence their participants behaviour in order to prove their hypothesis to be true
33
What is a target population What is a sample What is a representative sample What are 5 types of sampling
TARGET POPULATION Group of people the researcher wants to study and apply their findings to SAMPLE Group of people taken from the target population who will take part in the research REPRESENTATIVE SAMPLE The sample is a good reflection of the target population so you can apply the findings to the target population Opportunity sampling Volunteer sampling Random sampling Systematic sampling Stratified sampling
34
What is Opportunity sampling Strengths Weaknesses
Researcher goes to members of public who are the TP and ask if they want to take part in the research. If they are willing to take part and able to take part, they become part of the sample for this investigation STRENGTHS -Quick and convenient way of gathering sample compared to other sampling methods like stratified sampling and lots of ppts can be gathered in a short amount of time WEAKNESSES -Sample will be unrepresentative of tp a sample will only reflect members of tp who are in the vicinity of the researcher or those who the researcher has access to-can't generalise findings to tp - reduces population validity -Sample will be biased as researcher has full control over the members of tp so they will go up to people who they prefer (friends) or people who they believe will prove their hypothesis to be true - This increases researcher bias and reduces validity of the findings
35
What is volunteer sampling Strengths Weaknesses
The researcher advertises the study on relevant websites/newspapers/appropriate locations, advert medium has to be tailored to the TP. After seeing the advert, participants will respond to the researcher if they are interested, those who contact the researcher will be part of the sample STRENGTHS WEAKNESSES Sample not representative of tp as it may attract atypical repsondents(people who take part in the study as they are interested in the aim of the study) - this means they will try hard and put in effort into the study - leads to atypical behaviour and results that can't be applied to tp - reduces population validity Also based on where the researcher chose to advertise, they are more likely to attract ppts who have access to that medium (e.g. local newspaper) - can't generalise findings to tp - reduces population validity
36
What is random sampling Strengths Weaknesses
Researcher aquire names of all members of TP and puts them on individual pieces of paper in a hat. Researcher picks out as many names from the hat as needed to form the sample. All the names that are picked from the hat will be part of the sample STRENGTHS No researcher bias as participants are ppts by chance as researcher as no control over who is randomly picked so they cannot choose to pick members of the tp who they prefer (friends) or those who they believe will prove their hypothesis to be true - this reduces investigator effects and increases validity of findings WEAKNESSES -It is time consuming as gathering the names of all members of tp requires a lot of time and effort and can be inconvenient -May be unrepresentative of the tp, it is possible that by chance every person picked out of a hat has similar traits - can't generalise findings to tp - reduces population validity
37
What is systematic sampling Strengths Weaknesses
Researcher aquire names of all members of TP. Put names in a list in a specific order (e.g. alphabetical order). Generates a random number to act as the nth term. Pick every nth participant on the list until you have as many participants as needed STRENGTHS -No researched bias as participants are picked based on nth term so researcher has no control over who is picked so they cannot choose to pick members of the tp they prefer (friends) or those who they belive will prove their hypothesis to be true - reduces investigator effects and increases validity of findings WEAKNESSES - It can be time consuming as gathering names of all members of tp can require a lot of time and effort and can be inconvenient -Sample may not be representative of tp, possible that by chance every nth ppt picked has similar traits - can't generalise findings to tp - reducing population validity
38
What is stratified sampling Strengths Weaknesses
After identifying a TP, calculate the proportions of subgroups that exist in the TP Gather names of everyone in TP and separate them into different hats based on their subgroups Based on the proportions identified, pick as many names from each hat so the proportion of each subgroup in your sample is the same as it is in the TP Everyone who is picked forms the sample STRENGTHS: Sample is representative of TP as all subgroups within TP are represented in the sample in the right proportion so findings can be applied to TP -No researcher bias as r has no control over who is randomly picked so they cannot choose members of the TP who they prefer (friends) or those who they believe will prove their hypothesis to be true, increases validity of findings Time consuming as you have to gather names of everyone in TP and work out proportions of subgroups within TP, can require a lot of time and effort so it is inconvenient compared to opportunity sampling
39
What are pilot studies and what is a strength of it
A small scale version of a study done before the actual study to identify methodological errors within the study so that these errors can be rectified for the actual full scale research It will help save a lot of time and resources when doing the real study
40
What kind of things to pilot studies try to check
-Is the material accessible/appropriate (words in sme lang as ppts/images displayed on screen isn't blurry) -Right amount of material given to ppts(amount of time given appropriate) -Instructions are clear for ppts
41
What are 5 ethical guidelines
Protection from psychological and physical harm Right to confidentiality Right to withdraw Informed consent Deception
42
Describe protection from psychological and physical harm and how to deal with it
-Ppts should not be physically or psychologically harmed and they should leave the research in the same state they arrived in -Researchers must ensure their method does not willingly put ppts under the risk of harm, if harm is caused unknowingly, during the debrief ppts should be offered therapy to reduce the impact of the method, it ppts take this offer, follow up with them to ensure they have recovered from any harm caused by the method
43
Describe right to confidentiality and explain how to deal with it
-Ppts personal details including the nature of their performance, should be kept confidential and cannot be released to the public under the name of the ppt -Use an allias(fake name) or initials instead of ppts full name, release the info under this name -Number the ppts in the experimental and refer to them as numbers
44
Explain right to withdraw and how to deal with it
-All ppts have a right to withdraw from the study whenever they wish and cannot be coerced or manipulated to cary on taking part in the experiment if they wish to leave -Remind ppt before/during/after he experiment that they have the right to withdraw whenever they wish -If they would like to withdraw, let them without any manipulation or coercion to stay -Delete their data after they withdraw from the research
45
Explain informed consent and how to deal with it
Ensuring ppts have been well informed about tje research before they take part and give consent on basis of reasonable knowledge of what the research entails -Ppt should be given a consent Farm containing all relevant info about the experiment, should be informed about all aspects of the study (aim, method and what they are required to do beforehand), they should then be asked if they would like to take part and will sign the form to provide consent -If ppt is below 18, consent had to be gained from parent/guardian - Presumptive content: Find a group of ppl similar to ppts and verbally inform then about the aim/method/any deception that may occur. Ask this group if they would be willing to take part in such a research, if they agree to take part, then you can assume your ppt would be willing to take part too, carry on with the experiment and get consent from your real ppt after the experiment
46
Explain deception and how to deal with it
Misleading ppts deliberately about aspects of the method and research -After the study debrief, researcher informs ppt about alla sprats of the study(real aim, full method, what happened in all conditions, clarify instances of deception) -ppt given another opportunity to withdraw if not satisfied with reasons for deception, if they choose to withdraw, delete all information
47
What is the acronym for consent form What is the acronym for debrief
ALEQS ALEQ
48
What are the 5 steps to writing a consent form
1. Inform ppts of the aim of the study 2. Inform ppts of the method and what you require ppts to do 3. Inform ppts of ethical issues - withdrawal and confidentiality 4. Opportunity to contact you if you have any questions 5. If they consent to experiment, sign the consent form
49
What are the 4 steps to writing a debrief
1. Inform participants about the actual aim of the study 2. Inform ppts of the actual tasks what happened in all conditions not just theirs 3. Offer withdrawal, assure confidentially, offer therapy if harmed 4. Provide them with the opportunity to ask questions
50
What is the structure of a consent form
Letter
51
What is the structure of a debrief like
Speech
52
How do you write standardised instructions
Write down everything you would need to know as a ppt Give pot all info they need to take part in the task, what they need to do, how to use equipment, time given, at the end provide them a opportunity to ask any questions
53
What are 6 types of observations
Naturalistic Controlled Covert Overt Participant Non participant
54
What is naturalistic observations What is controlled observations
Naturalistic: Takes place in a real life environment + no control over environment Controlled: Takes place in an artifical setting + control over settings
55
Why is controlled observations used
Remove the impact of extraneous factors on behaviour Easy to observe behaviour that takes place
56
Strengths and Weaknesses of Naturalistic observations
STRENGTHS: High ecological validity more likely to act how they would on real life WEAKNESSES: Low replicability, no standardised procedures, can't repeat to check for consistency In findings, reduces reliability
57
Strengths and Weaknesses of Controlled observations
STRENGTHS: Replicable as it takes place in a controlled setting, establish standardised procedures, can repeat to check for consistency In findings increases reliability WEAKNESSES: Low ecological validity, takes place in a highly controlled setting so less likely to show genuine behaviour
58
Define covert observations Define overt observations
Covert: Ppts do not know they are being observed Overt: Ppts are aware they are being observed
59
Strengths and Weaknesses of Covert observations
STRENGTHS: More likely to see ppts' genuine behaviour as ppts are unaware they're being observed, do not change behaviour to impress observer, increases validity WEAKNESSES: Unethical as there is no informed consent, no permission to take part in study
60
Strengths and Weaknesses of Overt observations
STRENGTHS: Ethical compared to covert o as they gain informed consent and ppts give permission to take part in the study and are aware they're being observed WEAKNESSES: ppts are aware they're being observed, so they are less likely to show genuine behaviour and are more likely to change behaviour and show demand characteristics 6 the observer, decreases validity
61
Define ppt observations Define non ppt observations
Ppt: R takes part in tasks with ppts Non ppt: R does not take part in task with ppts
62
Strengths and Weaknesses of participant observations
STRENGTHS: Better insight into ppt behaviour as R takes part in task alongside ppts, R can interact with ppt and understand the real reason for their behaviour, increases validity of findings WEAKNESSES: R may get distracted by taking part in the actual task and may miss out on ppts behaviour, reduces validity -Being part of ppt group so Overtime, R can form a bond with ppts which may lead to subjective interpretation of ppt behaviour which reduces validity of their findings
63
Strengths and Weaknesses of non ppt observations
STRENGTHS: R u smore objective about findings as not part of ppt groups so are less likely to have formed a bond with ppts compared to participant observations where this might happen, increase validity WEAKNESSES: Less insight on ppt behaviour as not taking part alongside ppts, R simply watching and observing behaviour, may miss out on reasons why ppts show their behaviour, reduces validity
64
What are structured observations
Use predetermined categories of behaviour and when a parrticipanf demonstrates a behaviour related to the category, add a tally to the relevant category Produces quantitative data
65
What are behavioural categories
Specific actions which help measure a target behaviour in an observation
66
What two ways can observations be carried out
Unstructured observations Structured observations
67
In order to have structured observation, we need...
Behavioural categories
68
What is operationalisation of behavioural categories
When you give the target behaviour a specific measurement
69
What should good behavioural categories be like
Relevant to target behaviour Clear and distinct categories- can't be broad No categories overlap eachother Do a pilot study to make sure you have good behavioural categories
70
What are observation sampling procedures and give two examples
Different ways of obtaining and recording data Event sampling and Time sampling
71
How is event sampling done Advantages Disadvantages
-Establish a list of target actions(events) related to the behaviour, once the observation starts, R records every time they see that action occur within the ppts ADVANTAGES R will not miss out on information/instances of behaviour as ppts are being observed for the whole time period DISADVANTAGES More difficult to do as it requires the osberver to be vigilant the whole time, increases likelihood of mistakes due to fatigue, decreases validity of data
72
How is time sampling done Advantage Disadvantage
-R decides a duration of observation, then splits duration into regular, appropriate intervals(generally between 30-60sec), on the stroke of each interval, the R observes the ppts and records behaviour that occurs during that moment, no info is recorded between intervals,carry on until all prerecorded intervals have been recorded ADVANTAGES Easier to carry out compared to event sampling as R only focuses on the observation at the interval and not the whole duration- less likely to make mistakes due to fatigue- increases validity of data DISADVANTAGES If a behaviour starts and stops in between intervals, that behaviour will not be recorded even though the behaviour may be valid - miss out on data
73
Explain inter observer reliability
-Two observers observe the ppts and each are given their own copy of the recording sheet -Before the observation, they agree on the predetermined behavioural categories -After observation, they correlate their scores and calculate a correlation coefficient -If the correlation coefficient is higher than 0.8, strong psotiive relationship, high inter observer reliability -Observation takes place at the same time, same ppts, same duration and same location
74
What are self report measures and give two examples
Research methods where ppts directly provide the info and data relevant to the investigation Questionnaires Interviews
75
What are open questions Strengths Weaknesses
Ppts not given any fixed, optional responses to choose from and are free to elaborate to any level they like STRENGTHS: Provides in depth info from ppts as they are not limited to foxed options so can elaborate on the reason for their behaviour which increases the validity WEAKNESSES: No standardised, fixed options provided so ppts may provide a wide variety of responses which may be difficult to compare as it is difficult to generate wuesrion by question statistical analysis collectively
76
What are closed questions Strengths Weaknesses
Have predetermined fixed, optional responses that ppts choose from tk answer questions STRENGTHS: There are standardised, fixed options provided, ppts responses will be out of a fixed range of responses which will be easier to compare than open questions as you can generate a question by question statistical alanlusis collectively WEAKNESSES: Provides less indepth info from opts and they are limited to fixed options so can elaborate on the reasons for their behaviour which decreases the validity
77
Give a rating scale example closed question of canteen food
On a scale of 1 to 10, can you rate the pasta in the canteen, one being fbe worst, 10 being the best
78
What is a questionarre Strengths Weaknesses
Method of gathering data where ppts have to give their responses to questions in writing STRENGTHS: Quick and convenient method to gather data because you can gather a lot of data in a short duration as R doesn't need to be present with the ppt when they fill out the questionnaire (Only use when asked for 2 strengths) Less likely to be affected by investigator effects like tone of voice when asking questions as R is not present when ppts fill out the questionarre sondara is less likely to be affected by r bias in questionnaires WEAKNESSES: Ppts may lie about their thoughts and behaviours to make a positive impression on the R, this is called social desirability, reduces validity of data gathered -If ppts do not understand a question, they may either leave it blank or answer inaccurately, which means invalid faulty data is being gathered, which leads to invalid conclusions, howver this may not happen in an interview as since the R is present and the ppt does not understand a questions, the R could clarify it
79
What are unstructured observations
Observe things as they happens and this produced qualitative data
80
What are structured interviews Strengths Weaknesses
All questions are predetermined and all ppts are asked same questions in same order and R can't ask extra questions even if they want to STRENGTHS: -More of a standardised procedure than unstructured interviews as same questions are are asked to all ppts in the same order, easier to replicate, easier to check reliability -Easier to analyse, all ppts asked same questions so easier to do a question by question statistical analysis comparing all ppt responses to a particular question -Do not require much questioning skills or training to conduct, R simply has to read the question out for ppts, do not have to think about the question being leading/effective compared to unstructured interviews where interbiewers have to be trained to ask good questions WEAKNESS: Lack depth compared fo unstructured interviews as if ppts reveal relevant new details we cannot ask follow up questions to further probe into this new detail, therefore info gathered may present an incomplete picture
81
What are unstructured interviews Strengths Weaknesses
Start the interview with a starting question/theme in mind All following questions are based on the interviewees response so different ppts have different questions based on what they say STRENGTHS More depth compared to structured interviews as if ppts reveal relevant new details, we can ask follow up questions to further probe into this new detail. Therefore, info gathered may be a complete picture WEAKNESSES: -less kf a standardised procedure than structured interviews as different questions asked to all ppts as they are based on responses to previous question, harder to replicate, harder to check reliability -Harder to analyse as all ppts asked different questions based on responses to previous questions so harder to do question by question statistical analysis comparing all ppt responses to a particular question -Requires quesrioning skills or training to conduct as R needs to be able to generate questions that are efficency at extracting valid info based on ppts responses, this training may require time and resources that won't be required for a R to conduct structured interviews
82
What must you make sure when designing an interview
-Questions have to be specific -Do not use unnecessarily complex langauge in a question -So not ask double questions
83
Overall strength and weaknesses of interviews
STRENGTHS: If ppts do not understand a question, can directly ask the interviewing R for clarification and answer accordingly, therefore data gathered will be more valid than questionarres where R may not be present so cannot provide clarification for ppts tp answer accordingly WEAKNESSES: - More likely to lie to make a psotiive impression on the interviewer, this is called social desirability, the data gategred will be invalid -Time consuming method to gather data compared to questionnaires as the R has to directly communicate with ppt throughout interview, compared to Q where ppt can provide info in their own time -Intevriewes more prone to investigator effects than questionarres, in an interveiw R asking questions may use differnt tones with diff ppts unknowingly, might influence how ppts repsond to questions, this may not happen in quesitonarres as R may not be present, less valid data
84
What do measures of central tendency do
General indication about the performance of a group or condition
85
What are some examples of measures of central tendency
Mean Median Mode Range Standard deviation
86
Strengths and Weaknesses of mean
STRENGTH More representative than median or mode because It takes into account all of the dv instead of simply just focusing on the middle value like the median WEAKNESS takes into account all dv data, including anomalies so it more affected my anomalous values compared to the mode thar only takes into account the most common dv so is not affected
87
Strengths and Weakness of median
STRENGTHS focuses on the middle DV value excluding anomalies so is less affected by anomalous results compared to the mean, which is affected as it focuses on all DV values, including anomalies WEAKNESS Less representative than mean because it takes into account only the middle DV from the group of ppts instead of focusing on all values like the mean
88
Strength and Weakness of mode
STRENGTH Focuses on most common DV, excluding anomalies so is less affected by anomalous results compared to the mean ehich takes into account all dv values, including the anomalous ones WEAKNESS Less represrative than mean as it only focuses on the most common dv instead of focusing on all the dv like the mean
89
[2 marks] What does the mean show us
Condition 1 means you have higher ...... than condition 2 This is because condition was has a higher mean than condition 2
90
What is standard deviation
Single figure which summarises the distance from the mean of each data point
91
What is range
Biggest value minus smallest value
92
What does standard deviation and range tell us
If its higher, there is less consistency and is higher variation
93
94
What is an advantage of standard deviation over range
If there is an anomalous data point, sd is less affected by anomalous results as it takes into account the distance from the mean of every dv compared to the range which only looks st the highest and lowest so is more likely to be distorted by anomalous values
95
Comment on the standard deviation of condition 1 and 2 What is the template
Condition 2 has higher variation and lower consistency compared to condition 2 which has lower variation and higher consistency. This is because condition 1 has a higher standard deviation that condition 2
96
Which condition provides more effective treatment Do you look at average or range or standard deviation
Average (mean)
97
Formula for percentage change
New-Old/Old × 100
98
What Is a correlation
A statistical technique to analyse the relationship between 2 covariables
99
What is the different between correlations and experiments
EXPERIMENT: Manipulate the IV to investigate the impact on the DV so there is a cause and effect between the IV and DV CORRELATION: Measure Covariable1 and covariable2 to establish a relationship but cannot establish a cause and effect
100
Explain positive and negative correlation
POSITIVE As one covariable increases, the other covariable also increases NEGATIVE As one covariable increases, the other covariable decreases
101
What is the template for directional and non directional Correlational hypotheses
DIRECTIONAL: There will be a a positive/negative correlation between cov1 and cov2. This means as cov1 increases, cov2 increases/decreases NON DIRECTIONAL: There will be a significant relationship between cov1 and cov2
102
What are the two ways in which correlation data is presented
Scatter graph Correlation coefficient
103
Define correlation coefficient
Numerical representation of the strength and direction of the relationship between cov1 and cov2
104
What are the ranges for correlation coefficient
+1 or -1 (Perfect positive or Perfect Negative) 0.7 to 0.999 (Strong) 0.4 to 0.699 (Moderate) 0.1 to 0.399 (Weak) +0.1 to -0.1 (no correlation)
105
What are the strengths of correlation
-Provides a starting point within research which allows us to identify relationships that may be worth investigating further through experiments -As correlations rewuire only measurements and no manipulation of behaviour they can be helpful in investigating behaviours which may be unethical to manipulate as an IV in an experimental setting
106
What is a weakness of correlations
Correlations do not provide a cause and effect relationship between two variables. Could be that cov1 causes cov2 or cov2 causes cov1 or there could be a 3rd variable influencing both at the same time but we will not know this from correlations
107
What is a template for the title of a scatter graph
A scatter graph demonstrating a correlation between X and Y
108
What are distribution used to show
The occurrence of charecteristics in the general population
109
What are some charectersitics of nroaml distribution curves
Symmetrical Mean=~Median=~Mode
110
Why is a normal distribution curve symmetrical
Most people are around the middle of the range and very few people get the top end and bottom end of the range
111
Where is the mean, median and mode on a normal distribution curve
Under the peak of the distribution curve
112
What is the link between normal distribution curves and task difficulty
Even task difficulty
113
Draw a positively skewed distribution
Skewed at the top positive end of the range
114
Draw a negatively skewed distribution
Skewed at the bottom negative end of the range
115
Where is the mean, median and mode on a positively skewed distribution
Mean>Median>Mode
116
What is the link between positively skewed distribution and task difficulty
High task difficulty because most people get scores on the lower end if the range and fewer people get scores on the higher end of the range
117
Where is the mean, median and mode in a negatively skewed distribution
Mean
118
What is the link between negatively skewed distribution and task difficulty
Most people get scores on the higher end of the range and fewer people get scores on the lower end of the range
119
What is the general rule to drawing mean, median and mode on a distribution curve
Mode is the peak Mean is at the middle but closer to the peak Median is between mode and mean
120
Draw a normal disturbition curve in the sky
✨️
121
What is the role of inferential statistics
Helps us conclude if there is a significant difference in dv when comparing c1 to c2 -If there is a significant difference in dv, we can conclude the difference is due to manipulation of iv -if there isn't a significant difference in dv for c1 and c2, we can conclude that the difference is due to just chance
122
When so you use a one tailed and two tailed test
One tailed - Directional hypothesis (significant increase/decrease) Two tailed - Non directional hypothesis(significant difference)
123
What does the p-value refer to
Likelihood that difference in dv/relationship between variables is due to chance
124
What does it mean if p<0.05
There is less than 5%likelihood that difference in dv in c2 compared to c2 is due to chance There is more than 95% likelihood that difference in dv in c1 compared to c2 is due to manipulation of iv
125
What is the significance level(p-value) that psychologists use
p<0.05
126
What does a lower p value show
Lower likelihood that difference in dv in c1 compared to c2 is due to chance
127
What does a higher p value show
Higher likelihood that difference in dv in c1 compared to c2 is due to chance
128
When is it appropriate to use a sing test
-If the investigation is a test of difference (only used in experiments + not correlations) -Repeated measures or matched pairs design -Only works when nominal data is being measured
129
What do you have to extract from the sign test question
One tail/Two tail Number of ppts Calculated S value
130
The calculated s value must be ----- or ------ the critical value in the table for significance to be shown
Less than or equal to
131
In a sign test, what do you do if two values are the same
Ignore it and make sure you reduce the number of ppts
132
What is primary data
Original data that didn't exist before and is collected by the R by making first hand contact with ppts for the purpose of the research
133
What are strengths and weaknesses of primary data
STRENGTHS-More relevant to the study as R collects data themselves so doesn't contain any irrelevant information which increases validity -R can be sure the data is valid as the study is within their control e.g. extraneous variables or conducted a pilot study beforehand. This increases the validity of their conclusions WEAKNESSES Time consuming and expensive as the researcher has to collect first hand data from ppts
134
What is secondary data
It is pre existing data that existed before the study and has been accessed by the R from other sources for the purpose of the study
135
What are the strengths and weaknesses of secondary data
STRENGTHS -Less time consuming compared to primary data as the data already exists so can gather large amounts of data in a short amount of time WEAKNESSES -May contain irrelevant information as it was not collected for the purpose of the study so R needs to filter out any irrelevant information which might not be possible to do accurately which cab impact the validity of the conclusion -As the data has been gathered from other sources, they can't be sure of the validity of the data as it may not have been controlled for example ev or pilot studies so they can't be assured the validity of their conclusions
136
What can be an issue with some psychology studies
-Lacks generalisability because of small sample and sample being unrepresentative -Conclusions can be too specific
137
What is a meta analysis
A form of secondary data Statistical analysis of the data gathered from multiple studies to develop a general understanding of behaviour and it helps make a more refined conclusion
138
What is a strength and weakness of meta analysis
STRENGTH Larger sample which makes it more representative of the target population WEAKNESS Idk gotta find out from smone
139
What is qualitative data Give some examples of where qualitative data is collected
Non numerical and descriptive (in the form of long texts or pictures) (Unstructured interviews and questionnaires with open questions, unstructured observations, case studies)
140
What is a strength and weakness of qualitative data
STRENGTH -Provides indepth, detailed information about behaviour which gives you a greater insight so you can make more valid conclusions WEAKNESS -Difficult to analyse as it is descriptive, cannot break it down to numbers so you can't statistically analyse data making it difficult to form objective conclusions
141
What is quantitative data Give some examples of where quantitative data is collected
Numerical data (Structured interviews and questionnaires with closed questions, structured observations, experiments, correlations)
142
What is a strength and weakness of quantitative data
STRENGTH -Easy to analyse as it is numerical, csb be used to analyse data using descriptive and inferential statistical tests so we can get objective conclusions WEAKNESS -Lacks depth and detail as it is not descriptive. It simply states the ppts behaviour without any reasoning or justification behind it. This reduced the validity of the data
143
What type of data is shown in bar charts What is important when drawing bars in bar charts
Categorical/Discrete data Bars do not touch eachother and do not touch y axis
144
What type of data is shown in histograms
Continuous data
145
When do you use line graphs
Track how variables change Overtime
146
When do you use scatter graphs
Correlations
147
How are peer reviews done
When the research is complete, researcher may send manuscript for that research to be published in a journal Research is sent for independent scrutiny by other anonymous psychologists (usually 2 or 3) working in a similar field and they conduct an objective review and decide whether it should be published
148
What do peer reviews look for
Appropriateness of methodology Importance of the research in a wider context How original the work is Possible improvements
149
What are the outcomes of a peer review
-Accept manuscript as it is - Accept it with revisions (changes) - Ask the researcher to make revisions and resubmit for reviewing again -Reject without possibility of resubmission
150
Name the 5 reasons why we conduct peer reviews
-Ensure quality and validity of the research -Integrity -Importance -Originality -Allocating research funding
151
WHY DO WE CONDUCT PEER REVIEWS Explain ensure quality and validity of research
Doss it include a well formed hypothesis -Appropriateness of the chosen methodology -Statistical test used -Potential errors -Conclusions drawn -Ethics Reviewer may suggests ammendments and improvements Increases probability of errors being identified as researchers are less objective about own work
152
WHY DO WE CONDUCT PEER REVIEWS Explain integrity
Published research has integrity as it has been independently scrutinised by other researchers so the report will be taken more seriously by other researchers and lay people
153
WHY DO WE CONDUCT PEER REVIEWS Explain importance
Judges importance of the research in a wider context, prevents dissemination of irrelevant findings, unwarranted claims, unacceptable interpretations, personal views and deliberate fraud
154
WHY DO WE CONDUCT PEER REVIEWS Explain originality
Assesses how original the work is or whether it refers to replicate research by other psychologists
155
WHY DO WE CONDUCT PEER REVIEWS Explain Allocating Research Funding
Sometimes reviewers will evaluate proposed research (research that is yet to be done) in terms of aims, quality and value of research and decide whether or not to award funding May be coordinated by government run funding organisations such as the me council who ate invested in establishing which research in the most worthwhile
156
Explain some problems with peer review
PUBLICATION BIAS : PEER review panels are biased towards publishing headline grabbing findings and prefer publishing statistically significant results. Research that doesn't meet these criteria is disregarded BIAS AGAINST NEW RESEARCHERS: If research is reviewed, challenges existing dominant research in the field, they would be biased against it, research more likely to be hindered ANONYMITY: Reviewer may hide behind anonymity to highly criticise for personal gain, researchers in direct competition for limited funding, some journals prefer an open reviewing system where reviewed names are public MISTAKES : peer review panels can still make mistakes and unknowingly fail to detect errors in research
157
What are the 4 steps when doing a question on implications for the economy
Samsung notes HAPPY
158
159
What is the template for a conclusion statement of a sign test
Since the calculated value of S( ) is less/more than the critical value of S ( ), the difference in DV begweeb both conditions is/is not significant for N= and p<0.05 for a one/two tailed test
160