Social - Methods Flashcards

1
Q

what is a survey, and what can surveys include?
Explain the difference between a structured and unstructured survey:

A

A survey is a self-report method used to gather information.
They may include: polls, mailed questionnaires or face to face/telephone interviews

structured - specific set of questions rather than having a general set of aims
unstructured - it is difficult as often the questions or topic is pre set, the interviewer develops the questions and then asks them very informally which results in answers which are very open.

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1
Q

what are the guidelines for writing a good questionaire?

A

avoid complex questions or technical/emotive language and negative terms

this can be checked by doing a PILOT STUDY on a few people first to make sure they have clarity

decide when to use open/closed ended questions - alternative scales are the Likert scale

filler questions - this will distract them from the real aim

how you are going to ask the questions e.g. face to face etc

consider your sample in terms of size and representatives - sometimes the response rate is low so you will need to be targeted

no bias - as in leading questions or social; desirability

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2
Q

what is a questionnaire?

A

a set of written questions given to the participate to answer on a specific topic

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3
Q

what is a closed ended question?

A

a question which gives quantative data, like yes or no - this involves set answers and has no expression for opinions or views

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4
Q

give 2 strengths of a closed ended question:

A

closed questions can be analysed quantitatively for example, a survey of men and women might ask them whether they have suffered sex discrimination, using a yes/no format. This will allow them to conclude that —–% of men and
—-% of women report
being discriminated against because of their gender. From this trends and patters can be plotted and analysed to see differences in gender, age, class etc… which either supports or contradicts psychological theories and studies.

  • closed questions are all the same for all respondents, and the set of answers, so if the meaning is the same for everyone then RELIABILITY is maintained, and replication is possible, quick and usually easy to complete.
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5
Q

give 2 weaknesses of a closed question:

A

closed questions force a respondent to choose a set of answers, when they might not agree with any of the choices. If they cannot say what they want then the results will not be realistic and valid.

The choice of answers for closed questions may mean different things to different people and would produce invalid data which is unrealistic in relation to the topic focus

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6
Q

what is an open question?

A

it is a question which gives qualative data and allows them give their opinions, views and comments on the situation or event.

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7
Q

give 2 strengths of an open question:

A

open questions produce qualitative data which involves an extended answer which tends to be more realistic and valid because major themes are identified and measured in relation to the hypothesis

open questions can be interpreted by respondents in their own way therefore more
valid data can be obtained:

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8
Q

give 2 weaknesses of an open question:

A
  • open questions can be difficult to analyse because the answers are likely to be detailed and also different from one another
    SO
    replication is not really possible.
  • Due to the fact that in open questions the data is qualitative averages cannot be calculated and the data cannot be displayed in tables or graphs, therefore trends and patterns cannot be found and used to support existing theories and studies.
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9
Q

what is an interview:

A

a face to face situation and a series of questions , they allow the opportunity to expand or clarify on the questions.

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10
Q

explain the differences between the different types of interviews:

A

STRUCTURED INTERVIEW - has predetermined questions, ie a question that is delivered face to face. Usually involves closed ended questions for example, did you like the study Yes/No?

SEMI-STUCTURED INTERVIEW - is more informal in that new questions are developed as you go along eg, similar to what a GP might say in an interview. He or she starts with a set of pre-determined questions, but further questions are developed as a response to your answers (also referred to as the clinical method). SO the questions are a mixture of open and closed ended Kohlberg (1978) interviewed boys about an imaginary situation and then asked them a set of questions about the situation and their opinions on it.

UNSTRUCTURED INTERVIEWS - are very informal and start with a topic focus or aim and is more like a conversation with the direction being set by those involved around the topic for example, in a setting between a patient and therapist concerning marital problems they may focus on financial issues and not on a variety of topics like pressure of children, work etc. So the questions are mainly open.

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11
Q

what are some issues to consider when conducting interviews?

A

Interview schedules must be planned out well in advance so that all areas are fully operationalised, and an aim or hypothesis
The way of recording the data can be either recorded or written down, BUT with every format the full conversation must be
fully TRANSCRIBED after the interview. This can be very time consuming in many ways.

In order for the interview to be successful and for the interviewer to gather the data they need, several steps are recommended,

the schedule is seen by all those involved prior so that

everyone is ready and there are no surprise questions,

the format must be agreed prior especially in relation to how it will be recorded,

the interview must see the full transcript of the interview afterwards and agree that it is what was said or occurred

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12
Q

what is the checklist criteria which must be completed when carrying out an interview:

A

Have you decided whether to use a structured, unstructured or semi-structured interview?
Have you decided how to record the interview (ie, written, take-recorded etc.)
Have you drawn up the interview schedule?
Have you included a question for each area in which you are interested?
Have you included questions requesting necessary personal data?
Have you included an explanation, so that the interviewee knows what is expected?
Have you prepared the interviewee appropriately beforehand, including obtaining permission?
Have you prepared all the materials, such as, if appropriate, a record sheet for the answers?
Have you made sure that you will gather both qualitative and quantitative data

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13
Q

give 2 strengths of interviews:

A
  • they enable a large amount of data to be collected which is descriptive a may give a better picture of what is going on in real life so are VALID to what is being studied

interviews give access to information which is not available through direct observation, such as what individuals think and feel about certain topics which again makes it a more valid method

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14
Q

give 2 weaknesses of interviews:

A

in interviews people often don’t know what they feel or do and therefore are forced to rely on social desirability meaning that they tend to answer a question in a way that seems most representative of ‘good’ behaviour , this produces a social desirability a form of bias and reduces the reliability of the results.

in interviews the analysis of the information can be subjective especially if one person is carrying out the research, they may miss important information that others would pick up because of their personal opinion i.e. researcher bias

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15
Q
A

this occurs when a respondent does not give a genuine answer, but one which depicts them in a more favourable light. So they respond to a question in a way that is seen as desirable and not what is real. For example, very few respondents would say they agree with segrogation or that hetrosexuality was the only natural sexuality because they would be seen in a negative light however they have built in lie detector questions which it answered in a socially desirable way, the respondent’s questionnaire will be dropped from the sample.

Examples of Social Studies:

Adorno et al used a questionnaire linked to prejudice, they developed “fascism” scale - they found people who were more fascist were more prejudiced in their views - this suggests that personality relates to prejudice.

Burger 2009 used questionnaires in his screening process which required the individuals to complete a number of scales/questionnaires; a demographic sheet asking about age, occupation, education and ethnicity; the Interpersonal Reactivity Index; the Beck Anxiety Inventory; the Desirability of Control Scale; and the Beck Depression Inventory.

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16
Q

what is reliability and explain the types:

A

if it can be replicated to get the same results

Researcher Reliability refers to the extent to which a researcher acts entirely consistently when gathering data for example in observations we can use inter-observer or rater-reliability.

Internal reliability refers to the consistency of the measures used in an investigation for example, psychometric tests as a way of

External reliability refers to the consistency of a measure from one occasion to another for example, the extent to which a psychological test can generate similar results again with the same individual(s).

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17
Q

what is validity and explain the types:

A

refers to whether the research actually measures what is claims to measure.

The internal validity of an experiment is the extent to which we can be sure that changes to our dependent variable or variables are purely a product of our independent variables. This is why we control all variables other than the independent variable we are interested in (this means the environment, timings etc. will be the same in different conditions).
Experimenter bias, participant variables and demand characteristics also threaten internal validity but can be controlled by standard instructions, specific design and blind conditions.

External is the extent to which we can be sure that our results generalise from the experiment to real life and to other populations beyond the research.
Types:

Ecological validity - refers to the extent to which the environment is realistic of real like. This can include task validity which is whether the task used was realistic of real life eg, field experiments are likely to have better ecological validity than lab experiments because they are carried out in a real-life setting. However to have really good ecological validity the tasks participants have to carry out also need to be similar to those were encounter in real life.

Population Validity - refers to the extent o which the results can be generalised to other groups other than the sample eg, using students are not valid of other populations who are not students as in Asch’s experiments.

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18
Q

ways to improve reliability:

A

The test-retest method involves administering an entire test to a participant, waiting for them to ‘forget’ the questions (which could take several months), and then readministering the test. If the results from both presentations of the test significantly positively correlate then it is a reliable test.

Split-half method involves splitting the psychological test or questionnaire into two parts after the data has been collected and compare the results from the first half with the second half. – this will determine whether items within the same test eg, questions on a questionnaire are consistent.

Inter-rater reliability is achieved if researcher perform consistency, their ratings or measurements are the same or similar.

Inter-observer reliability is achieved when more than one observer rates the behaviour and they take an average across raters or check one rater scale with another.

Careful designing can improve reliability, the use of standardised controls, clear instructions, procedures and pilot studies.

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19
Q

ways to improve validity:

A

Face validity is a subjective assessment of whether or not a test appears to measure the behaviour it claims to. It is subjective and therefore not a particularly strong method with which to assess validity.

Content validity is an objective assessment of the items in a test to establish whether or not they all relate to and measure the behaviour in question

Concurrent validity is a comparison between two tests of a particular behaviour. One test has already been established as a valid measure of the behaviour, and the other test is the new one. If the results from both old and new tests significantly correlate then the new test is valid

Predictive validity refers to how well a test predicts future behaviour. An example of this is a diagnostic test for a mental health problem such as depression. If the test is a valid measure of depression and accurately diagnoses depression, then there will be a significant positive correlation between the test scores and the outcome for the patient

20
Q

what are surveys:

A

Surveys are planned as an aim and from this a hypothesis is created. In statistics, a hypothesis that functions as an alternative to the null hypothesis and typically asserts that the independent variable has an effect on the dependent variable that cannot be explained by chance alone.

21
Q

what is an alternative hypothesis:

A

The experimental hypothesis is sometimes referred to as the ALTERNATIVE HYPOTHESIS. Remember that some
studies are not experiments (they may be
observations, interviews etc.) and in this case
we do not start with an experimental
hypothesis but with an alternative hypothesis. When we carry out an experiment we can
use either term, they are also generally
written the same way.

22
Q

what is a null hypothesis:

A

The NULL-HYPOTHESIS is therefore the opposite of the experimental (alternative) hypothesis and our results allow us to
choose between the two, and therefore to decide which one we can REJECT. If there really is a significant difference between the
Monday morning scores and the Friday
afternoon scores then we reject the null hypothesis. If there is no significant
difference, then we reject the experimental (alternative) hypothesis.

23
Q

what does the term operationalise mean:

A

Psychologists use the term “operationalise”
to describe the fact that a hypothesis is highly
specific. OPERATIONALISE means spelling
out the various operations. In other words
you narrow the topic area down in order to
measure it accurately. For example, the
concept of a young child was operationalised
as “a child under the age of seven” OR a
cognitive task as specified as “the
conservation of volume”.

24
Q

explain the IV and the DV:

A

Hypotheses are mainly made up of two core variables, the INDEPENDENT VARIABLE is the variable
which the experimenter manipulates and The DEPENDENT VARIABLE is the one which the
experimenter measures. If you find this confusing, try to think of it like this, the value of the
dependent variable depends on the value of the independent variable. The psychologist, when she
sets up a study, thinks “if I do so- and so then such- and such will happen”. The so-and-so is the
independent variable and the such-and–such is the dependent variable.

25
Q

what is random sampling?

A

Truly random sampling only occurs when every member of the target population has an equal chance of being selected. Each individual is chosen entirely by chance and each member of the population has a known, but possibly non-equal, chance of being included in the sample.

For example, putting names of every member of the target population into a hat and pulling a sample out (without looking).

26
Q

what are 2 strengths of random sampling?

A
  • random sampling (in large numbers) provides the best chance of an unbiased representative sample of a target population as everyone in the target population has a chance of being selected
  • it will be clear from the beginning who the sample is and how it was chosen and each step of the process can be explained understood, this means that any possible bias can be worked out and mathematically taken into account
27
Q

what are 2 weaknesses of random sampling?

A

-the larger the target population, the more difficult it is to sample randomly, since compiling An original selection list of everyone becomes more impractical. True random sampling is, therefore, very rare

  • more time consuming and complex than non-representative methods because of the time involved in gathering the target population to sample from.
28
Q

what is stratified sampling?

A

Involves dividing the target population into important subcategories (or strata) and then selecting members of these subcategorise in the proportion that they occur in the target population.

For example, if a target population consisted of 75% women and 25% men, a sample of 20 should include 15 women and 5 men. For example, suppose a farmer wishes to work out the average milk yield of each cow type in his herd which consists of Ayrshire, Friesian, Galloway and Jersey cows. He could divide up his herd into the four sub-groups and take samples from these.

29
Q

what are 2 strengths of stratified sampling?

A
  • deliberate effort is made to identify the characteristics of a sample most important for it to be representative of the target population
  • very representative sampling method as every one in the population has an equal chance of being involved and taking part
30
Q

what are 2 weaknesses of stratified sampling?

A

-stratified sampling can be very time consuming, since subcategories have to be identified and their proportions in the target population calculated

-stratified sampling relies on researchers knowing all the required groups/strata and forces choices of participants which may bias by excluding some

31
Q

what is volunteer sampling?

A

Consist of those individuals who have consciously or unconsciously determined their own involvement in society, in other words they volunteer.

For example, studies or passers by who become involved in field studies ie, in bystander intervention studies. This is often done by advertising in newspapers or on a noticeboard

32
Q

give 2 strengths of volunteer sampling:

A

-self-selecting/volunteer sampling is quick, convenient and often the most economical method of sampling and is therefore the most common type of sampling

  • useful when the target population is hard to detect ie, those who believe they have been abducted by aliens
33
Q

give 2 weaknesses of volunteer sampling:

A
  • often unrepresentative being based on the subject and whether they are free for example and not on the entire population and what is needed
  • self-selecting/volunteer sampling can take a long time if the researcher has to wait for participants to volunteer for example, one advertisement may not be enough to get the sample
34
Q

what is opportunity sampling:

A

Simply involves selecting those subjects that are around and available at the time, an effort may be made to not be biased in selecting particular types of subject. This may simply consist of choosing the first 20 students in your college canteen to fill in your questionnaire.

For example, university psychologists may sample from their own students

35
Q

give 2 strengths of opportunity sampling:

A
  • opportunity sampling is quick, convenient and often the most economical method of sampling, therefore it is quite common, for example, the researcher may use friends, family or colleagues
  • can also be seen as a good way of investigating processes which are thought to work in similar ways for most individuals such as memory processes
36
Q

give 2 weaknesses of opportunity sampling:

A
  • gives very unrepresentative samples and is often based on the researcher who may choose subjects who will be “helpful

-within opportunity sampling participants may decline to take part and your sampling technique may turn into a self selected sample

37
Q

what is quantitive data and what is qualitative data?

A

quant - numerical, statistical information - associated with closed ended questions

qual - info. that can’t be counted, how people feel, views opinions etc

38
Q

give 2 strengths of quantitive data:

A
  • Quantitative data is easier to analyse because the data is in number format, so graphs and analysis are more straight forward and conclusions can be drawn easily from what is collated – patterns and tends can be found to support or contradict existing theories and studies
  • Quantitative data is reliable because the results can be compared and replicated if necessary and similar results are likely to be seen
39
Q

give 2 weaknesses of quantitative data:

A
  • Quantitative data reduces information about people to over-simplified statistics and so important information may be missed out, ie what and how people feel so a full picture of what you are trying to investigate may not be gathered
  • Quantitative data is low in validity because the data is numerical in format and doesn’t tell us about the descriptive situation, emotions or feelings of the research
40
Q

give 2 strengths for qualitative data:

A
  • Qualitative data represents the true complexities of human behaviour and gains access to thoughts and feelings that cannot be assessed using other methods eg, divorce, health issues etc..
  • Qualitative data is more valid because the feelings, emotions and details of the situation are being taken into consideration
41
Q

give 2 weaknesses of qualitative data:

A
  • Qualitative data is more difficult to analyse so that conclusions are difficult to draw about the topic hypothesis
  • Qualitative data is not it is more difficult because the results are detailed and descriptive so reliability may be lower
42
Q

REMEMBER CENTRAL TENDENCY (E.G. MEDIAN ETC ) - DO ON COGNITIVE FLASHCARDS

A

!!!!!!!!

43
Q

what is thematic analysis and how does it work?

A

THEMATIC ANALYSIS is a way of analysing data without losing its meaningfulness completely but enables a vast amount of qualitative data to be more manageably reduced into general patterns, trends and themes.

Thematic analysis is achieved through reviewing and identifying themes in qualitative data. This can be done INDUCTIVELY (the researcher would read and reread the qualitative data gathered and these would emerge from the data without the research imposing any of their own ideas or expectations from it) or DEDUCTIVELY (thematic analysis would involve the researcher specifying the themes that they will look for before analysing the data).

it works by:

Thematic analysis is flexible and depends on the researcher. The overall procedure involves carefully reading and considering qualitative data gathered and identifying the themes present in the data that occur frequently or seem to be a key feature of the data.
The researcher will develop these themes into “codes” which represent the categories of themes found. The researcher will then use these code to analyse the data gathered and search for instances where it appears in the data. This is reviewed continually, and changed if necessary, until the themes can be stated, supported and used in a summary of the data.
Analysis of qualitative data using thematic analysis or other qualitative analysis forms are often accused of being unscientific because it is highly dependent on subjective opinions of the researcher, therefore bias could result.
However the valid and realistic nature of the themes and analysis provide us with meaning full information and more detail of what is being analysed, giving a truer picture.

44
Q

how do you do thematic analysis?

A

gather qualitative data

begin a reflexive journal to log the progress

prepare the data so it is in 1 place

appoint coders

familiarise the data with the coders

shorten each answer to specific ideas, coders will identify themes

name the themes

reliability/validity check to remove subjective interpretation from the coders and write up the report

45
Q

2 strengths of thematic analysis:

A

it is a way of reducing a large amount of data into a manageable summary without losing the validity of the data

it encourages the researcher to derive themes from the data instead of choosing preselected themes - better validity

46
Q

give 2 weaknesses of thematic analysis:

A

picking the themes is time consuming and requires skill

researchers do not have to explain the terms they choose so validity cannot be easily judged

47
Q

summarise the code of ethics (BPS):

A

The British Psychological Society (BPS) has a code of ethics and conduct from 2009, guiding psychologists in the UK. It emphasizes respecting autonomy, minimizing harm, social responsibility, and scientific integrity. Key points include obtaining informed consent, minimizing deception, ensuring the right to withdraw, debriefing participants, maintaining professionalism, confidentiality, and protecting participants from harm. The code also addresses ethical breaches by colleagues and emphasizes managing risks (potential physical or mental health to the participant) in research responsibly.