Research Methods Flashcards

(84 cards)

1
Q

What is the IV and DV?

A

The IV is the independent variable that changes so that an effect on the dependent variable can be observed. They aim to establish a course and effect relationship.

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2
Q

What is an extraneous variable?

A

An extraneous variable is anything that could influence the participants performance or behaviour that needs to be controlled. They are also called nuisance variables

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3
Q

What are the types of extraneous variables?

A

There are situational variables which is something in the environment that could affect the results of the study or there are participant variables that anything in the participants that could affect their behaviour in the study.

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4
Q

Give examples of extraneous variables.

A

Time of day, weather, noise or age, experience, mood and intelligence.

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5
Q

How do you get rid of situational variables?

A

To get rid of situational variables, you need standardisation which involves making both conditions have the exact same environment.

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6
Q

How do you get rid of participant variables?

A

Randomisation, which when you randomly allocate participants to each condition.

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7
Q

What are confounding variables?

A

Confounding labels are variables that are known to have systematically varied the IV, it has confounded or influenced the results of the study.

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8
Q

What are the types of experiments?

A

Laboratory, field, natural and quasi.

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9
Q

What is the description strengths and limitations of a laboratory experiment?

A

The description is that they are in highly controlled environment. The IV is set up and changed by the experimenter. Participants know they are in a study.

The strengths are that it has high control of extraneous variables and it is easily replicated therefore high reliability.

However, it lacks ecological validity because you can’t generalise it to real life behaviour. It’s also more likely to have demand characteristics as participants are aware they’re in a study.

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10
Q

What is the description strengths and limitations of a field experiment?

A

Field experiment is in a real life setting but the IV is manipulated by the experimenter. Participants are often unaware however that they are in an experiment.

The strengths are that it has high ecological ability as it’s in a natural setting. It can also reduce the chance of participant effects like demand characteristics because they do not know that they are in the study.

However, a limitation is that it has no control of extraneous variables and it is hard to replicate

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11
Q

What is the description strengths and limitations of a natural experiment?

A

A natural experiment is when the IV is an event that is already naturally occurring and the experiment is just take use of it. Participants are often unaware.

There is increased ecological validity as it takes place in a natural setting. It can reduce participant effects like demand characteristics because participants are not aware.

However, there is less control of extraneous variables and you will not be able to replicate it.

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12
Q

What is the description strengths and limitations for a quasi experiment?

A

A Quasi experiment is when you cannot randomly allocate participants to a condition. The IV is not set up and participants are automatically assigned to a particular condition like gender.

There is less experiment bias as they do not pick which condition to put participants in

However, there is more chance of extraneous variables especially participant variables as participants are not randomly assigned to each condition.

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13
Q

What is a pilot study and what is it for?

A

Pilot study is a small scale trial run of a study researchers use them to test procedures or check the design, check the instructions are clear. It is not to check results of what the study will be.

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14
Q

What are the experimental designs?

A

Repeated measures, independent groups, matched pairs.

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15
Q

What is a repeated measures design?

A

A repeated measures design is when a single group of people perform all the conditions of the experiment.

A strength is that there are no participant variables and few participants are needed overall however a limitation is that there are demand characteristics and it could affect order effects, confounding variables.

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16
Q

What is independent groups design?

A

This is where you have a different group of people who eat perform only one condition of theIV.
A strength is the date reduces demand characteristics and there are no order effects. A limitation is that there are more likely to be participant variables and more participants are needed overall.

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17
Q

What is matched pairs designed?

A

This is where you pay your participants up on a certain quality that could affect the DV example intelligence, age. Each person from the pair does one condition and results are compared to their partner in the other condition.

A strength is that there are few participant variables and it reduces demand characteristic because the participants only take part in one experimental condition. There is also no order effects.
A limitation is that more participants are needed and it is difficult and time-consuming to match characteristics.

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18
Q

What is a correlation?

A

A correlation is a research method that investigates the relationship between two co-variables.

Co-variables are variables that are examined for a relationship to see if they buried together. It differs from an experiment because a correlation is looking for a relationship whereas an experiment is looking for a difference.

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19
Q

What are the types of correlation?

A

Positive correlation, as one variable increases so does the other.
Negative correlation, as one co-variable increases the other covariable decreases.
Zero correlation, co-variables are not related.

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20
Q

What is the correlation coefficient?

A

The correlation coefficient is a statistic that gives a quantitive measure of the strength and direction of the relationship between 2 co variables.

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21
Q

What are the strengths and limitations of a correlation?

A

The strengths are they provide a precise quantitive measure of the strength and direction of relationship between covariables. It can measure things that cannot/should not be manipulated experimentally.

A limitation is that it cannot demonstrate a cause and affect relationship between variables because there may be other intervening variables that could explain the link between them.

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22
Q

Name the types of questionnaire.

A

There is open question which is when participants can give any answer they wish this is qualitative data.

Closed question, which is when there is a set number of responses which the participants can select from this is quantitive data.

And finally likert scales which is when there are a number of responses to a question which demonstrate a degree of agreement this is quantitive data.

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23
Q

What is a structured interview?

A

A structured interview is when the questions are predetermined and the interview sticks to these questions only in a fixed order.

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24
Q

What is an unstructured interview?

A

The interviewer developed questions during the interview as a response to the answers given.

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25
What is a semi structured interview?
Some predetermined questions but has the flexibility to adapt questions based on the answers.
26
What are the types of observation?
Participant, non-participant Covert, overt Controlled, naturalistic And structured and unstructured
27
What is event sampling?
Event sampling count the number of times a certain behaviour because in a participant.
28
What is time sampling?
This is when you record what participant is doing at preset intervals of time.
29
What is a naturalistic observation?
A naturalistic observation means the researcher will observe the behaviour of the participants in its natural setting but will not attempt to manipulate any aspect of the situation.
30
What is a controlled observation?
A controlled observation is when some variables are kept constant by the researcher reducing the naturalness of the behaviour being studied. Participants are likely to know they are being studied and the study might be conducted in a lab.
31
What is a structured observation?
A structured observation uses a system to make the research objective and rigourous. Systems include coding systems to various behaviours and sampling procedures to decide what to observe and when.
32
What is an unstructured observation?
This is when a researcher records all relevant behaviour with no system. Often used when the behaviour is unpredictable. Behaviours recorded are often the most visible or eye-catching ones to the observer but they might not be the most relevant or important behaviour.
33
What is a covert observation?
This means the participant is not aware they are being studied.
34
What is an overt observation?
This is when the participant is aware they are being studied but this can have an effect on them altering behaviour.
35
What is a participant observation?
This is when the observer joins in on the activities of the group to gain greater insight and understanding.
36
What is a non-participant observation.
A non-participant is when the observer does not take part and choice to remain a non intrusive.
37
What is content analysis?
Content analysis is a form of observation, but instead of observing people you observe their communications.
38
What is an aim?
An aim is a general purpose of what the research is hoping to discover.
39
What is an alternative hypothesis?
This is a prediction that a study will find significant results.
40
What is an experimental hypothesis/alternative?
This is when they predict how the change in IV conditions will significantly affect the DV.
41
What is a correlational hypothesis?
These predict a relationship between the two co-variables.
42
What is a non-directional hypothesis?
This is when you predict there was going to be a difference/relationship but you do not predict what that change will be. A non-directional experiment would go there will be a significant difference in… Between… And… A non-directional correlation would go there will be a significant relationship between co variable one and covariable two
43
What is a directional hypothesis?
This is when you make a prediction where you state exactly what will be found. A directional experiment would go condition one will have significantly… Van condition two A directional correlation would go there will be a significant… Relationship between covariable one and covariable two.
44
What is a null hypothesis?
In any experiment, the alternative hypothesis is tested against the null. This is the prediction that no significant result will be found or that the finding was just due to chance. The null is always non-directional. A null experimental would go there will be no significant difference between… And… In their DV and any different found will be due to chance A null correlation would go, there will be no significant relationship between the co-variable one and co-variable two and any relationship found will be due to chance.
45
What are the ethical issues in psychology?
Ethical issues are determined by the British psychological society. The main issues are privacy, confidentiality, deception, right to withdraw, informed consent and protection from harm.
46
What is informed consent and how do you deal with it?
Participant should be briefed with as much information as possible about a study to enable them to make an informed judgement as to whether to take part or not. How to deal with it is to get people to formally sign to agree to take part, could get retrospective consent or could get presumptiveconsent.
47
What is deception and how do we deal with it?
People have a right not to be lied to, but it is used to avoid participants knowing details which could affect their behaviour. Can be done to prevent demand characteristics. How do we deal with it? We can do not deceive unless it’s necessary or do a debrief a post study description explaining the study to the participants after the experiment has been conducted.
48
What is right to withdraw and how do we deal with it?
We must make participants aware that they are free to leave a study at any time, even if we’ve paid them. We deal with it by making sure you inform participants that they have this right usually done in the consent form.
49
What is protection from harm and how do we deal with it?
Protection from harm is when participant psychological and physiological safety must be insured. People should leave the study in the small/similar state they arrived and we cannot expose them to a greater risk than their normal experiences. We deal with it through possible rescue situations identified and minimised preventing before the study a debrief at the end and giving a right to withdraw.
50
What is privacy and how do we deal with it?
A person’s right to privacy should be maintained. Privacy is concerned with where people are observed and what they are asked people have a right to keep some sensitive information private to themselves. We deal with it by not observing people less in a public place, respect the fact that people may not give information about themselves and give a clear description of the study so people can decline to take part if they do not want to.
51
What is confidentiality and how do we deal with it?
Information about our participants is predicted by the data protection act they must not be identified about in public research. We deal with it by avoid recording any names or personal details and using a coding system to avoid using participants names.
52
What is a target population sample?
This is the people the researcher would like to generalise their results to.
53
What is a sample?
A sample is a subset of people that represent the target population.
54
What are the different sampling methods?
Volunteer, opportunity, systematic, random and stratified
55
What is volunteer sampling?
Placing an advertisement and using participants that volunteer themselves to take part.
56
What is opportunity sampling?
Using those that are available at time of testing example walking past on the street
57
What is systematic sampling?
Generalising a list of all members and then using a system to pick participants
58
What is random sampling?
Each member of the population has an equal chance of being selected, so placing names in a computer program or a hat and pulling out the total number required for the sample.
59
What is stratified sampling?
Sub groups within a population of identified. Participants are selected by a random sample from each subgroup in proportion to their occurrence in the target population.
60
What is validity and what are the types of validity?
Validity is a measure of accuracy of a study and its results. It has three types. Ecological validity which is whether it can be generalised to real life. Population validity, which is when it can be generalised to the target population And temporal validity which is when the results can generalise to modern day behaviour.
61
What is internal validity?
Internal validity is whether or not the study has been conducted accurately, whether the data has been collected accurately and whether or not the study has measured what it is thought to have measured.
62
What are situational variables and participant variables?
These are things that are externally or things in the environment that can affect the DV or things that are features of the participants, individual differences.
63
What is investigator effects?
Whether the researcher could unintentionally have influenced the participants of the study in someway this can be solved by a double blind whether a researcher does not know the study either
64
What are demand characteristics?
Where participants have guessed the aim of the study to help or hinder this can be done all fixed through double blind or deception
65
What is social desirability bias?
This is where participants change answers or behaviour to make themselves look better. This can be overcome by making questionnaire an anonymous or study people without their knowledge.
66
How do you check validity?
Concurrent validity is a check that the measuring tool you are using is equal to an existing validated measuring tool or face validity. This is where a test scale or measure appears on the face of it to measure the thing that it’s supposed to measure.
67
What is reliability?
Reliability includes something that is dependable. It does the same thing every time in psychology. It is just the same it in it assesses consistency of a study and it’s results like the procedure and measuring tools.
68
What are the ways of checking reliability?
The ways of checking are in rate of reliability which is when it checks the observers assessing behaviour or consistent/reliable with each other or test retest this checks the reliability of a measuring tool.
69
What are the types of data?
Quantitive data is numerical data produces numbers/illustrates the quantity of a psychological measure plus it is easy to analyse and compare its scientific and objective but the minus is that it lowers internal validity. Quality data is non-numerical data this produces descriptive word data which illustrates the quantity of a psychological measure .
70
What are descriptive statistic?
Descriptive statistics are used to describe the basic features of the data in the study. It includes the mode median mean range and standard deviation.
71
What are the types of graphs that can be used?
Bar chart used for comparing data in categories Histogram data that is continuous. Pie chart representing the proportion of a hole. And scattergraph correlational data which is numerically and continuous.
72
What are distribution graphs?
Distribution show the amount of people that score certain marks on a test or measure Normal distribution is where most people in a population fit near to the middle point. The end bits are called the tales. Skewed distributions are not all distributions of data form the bell curve. Outliers can cause skewered distribution. Sometimes the distributions lean right or left.
73
What are positive and negative skews
A negative skew is when it leans towards the right and has a long tail to the left of the peak. Most people have scored high on a test to cause this distribution. A positive skew is when it leans towards the left and has a long tail to the right of the peak if the mean is the highest of the MMM then it is a positive skew. Most people have scored low on a test or measure two cause this kind of distribution.
74
What is primary and secondary data?
Primary data is data collected directly first hand from the participants for the purpose of the study. Secondary data is data which was collected for another purpose/different study and then used in the new study and meta analysis is a large scale review study where a researcher takes the data from lots of studies and then analyses to get the overall picture.
75
What are the levels of data?
Nominal, ordinal and interval.
76
What is nominal data and given example?
This data is in separate categories or groups – counting the number of times a behaviour is shown for example using a frequency table or tally chart.
77
What is meant by ordinal data and give an example?
This means the data is in someway bank ordered. This includes subjective data as the scale is based on peoples rankings.
78
What is interval data and give an example
Data is measured using units of equal fixed intervals. This is because the interval between each number along the scale is to have equal size.
79
What is probability?
This estimates the percentage chance of an event occurring.
80
What is the traditional accepted level of significance/probability?
P. More or less than 0.05.
81
What is the sign test
See booklets page 76
82
What is descriptive statistics?
Allows us to draw conclusions through the use of graphs, range standard deviation, et cetera
83
What is influential statistics?
Allows us to say whether difference is significant.
84
Learn the stats table
See page 83 in booklet.