Research Methods Flashcards

(51 cards)

1
Q

Define experimental method

A

The experimental method concerns the manipulation of an independent variable (IV) to have an effect on the dependent variable (DV) which is measured and stated in results

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2
Q

Difference between a directional and non-directional hypothesis

A

A directional hypothesis states the direction of the impact of independent variable (IV) on the dependent variable (DV) whereas non-directional does not state the direction of the relationship between the IV and the DV

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3
Q

Identify the five types of sampling methods

A
  • opportunity sampling
  • random sampling
  • systematic sampling
  • stratified sampling
  • volunteer sampling
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4
Q

Outline how you would take a stratified sample

A
  1. Split the population into groups (called strata) based on a characteristic (e.g., age, gender, or occupation).
  2. Pick a sample from each group in proportion to how big that group is in the population.
  3. Combine all the selected people to make the final sample.
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5
Q

explain one advantage of using a stratified sampling

A

more representative of the target population compared to other types of sampling

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6
Q

explain what is meant by operationalisation

A

the process by which a researcher defines how a concept is measured, observed or manipulated within a particular study.

Example: Concept: Aggression
Operationalised as: Number of times someone shouts or hits in a 10-minute observation period.

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7
Q

What is the difference between the independent variable and the dependent variable ?

A

IV is the variable that is manipulated (changed) to observe its effect on the DV whereas the DV is the variable that is being measured and is affected by the IV

e.g. effect off sleep on memory recall
IV = amount of sleep (4h vs 8h)
DV = Number of words correctly recalled from a list

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8
Q

What is a solution to the problem of order effects caused by a repeated measures design ?

A

a solution would be counterbalancing. This is when half of the participants are made to do conditions in one order and the other half in the opposite order. This eliminated order effects and helps to balance out practice and fatigue effects making the results more valid

Example, A psychologist is investigating whether people concentrate better in silence or with background music.
• All participants do both conditions (silence and music) — this is a repeated measures design.
To counterbalance:
• Half of the participants do the silence condition first, then music.
• The other half do music first, then silence.
This way, any improvement or worsening due to practice or tiredness is balanced out across conditions.

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9
Q

explain the difference between the aim and the hypothesis ?

A

the aim of the study tells us what the study is investigating whereas the hypothesis is a statement that predicts the relationship between the IV and the DV

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10
Q

identify the four types of experiments

A

laboratory
field
quasi
natural

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11
Q

describe the purpose of carrying out a peer review

A
  • to make sure the research is of good quality and relevant
  • to be able to suggest improvements so that faulty or incorrect data is not released to the public
  • the peer reviews are unknown so there is no bias
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12
Q

Define the two types of skewed distributions

A

Positive skew - when plotted on a graph , the data has a long tail on the right
Negative skew - when plotted on a graph, the data has a long tail on the left

check pic on camera roll

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13
Q

content analysis

A

a type of observational research where qualitative data (like text, interviews, media etc) is categorised or themed so that it can be analysed for patterns of behaviours (quantitative data)

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14
Q

give two strengths of conducting a content analysis

A
  • it has high mundane realism , reflects real-life situations, and external validity , how well the study can be generalised to other people , settings , or times.
  • produces a large data set of both qualitative and quantitative data that is easy to analyse
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15
Q

give two limitations of a content analysis

A
  • as it only describe the data it cannot extract any deeper explanation for the data patterns arising
  • subjectivity and researcher bias , different researchers may interpret the same data differently
  • can be time consuming
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16
Q

case study

A

an in-depth investigation of one person or a group of people over time. It is usually carried out in the real world. very individualistic.

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17
Q

three limitations of conducting a case study

A
  • as it only concerns one person it is not really generalisable to wider populations
  • The information gathered is often based on retrospective data, which might not
    be accurate.
    • Because it is very difficult to replicate a case study they lack reliability.
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18
Q

positives of conducting a case study

A
  • provide rich, detailed data that gives an insight into behaviour
  • can use a range of methods , giving a fuller picture
  • useful for studying things that can’t be ethically or practically manipulated in a lab
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19
Q

define reliability

A

it is a measure of consistency , for example if a particular measurement is replicable then that measurement is described as being reliable

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20
Q

two ways of assessing the validity of research

A

• Face validity: Whether a test appears to measure what it’s supposed to (based on surface judgement).
• Concurrent validity: Whether a test produces similar results to an already established, valid test.

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21
Q

what are the three factors that help you decide which inferential statistical test to use ?

A
  • the level of data that was collected
  • whether the design of the study is related or unrelated
  • whether a difference of correlation is being measured
22
Q

identify the three levels of measurement

A
  • nominal data
  • interval data
  • ordinal data
23
Q

describe nominal data and give an example

A

nominal data is categorical data where info is sorted into named groups with no numerical value , ranking or order
e.g. ethnicity , car brand , or place of birth

24
Q

describe ordinal data and give an example

A

ordinal data is data that can be ranked or placed in order, but the intervals between values are not equal or known
e.g. finishing positions in a race (1st ,2nd or 3rd)

25
describe interval data and give an example
interval data is data measured on a numerical scale with equal intervals between values. unlike ratio data, it does not have a true zero. e.g. temperature in celsius (e.g. 20 degrees is warmer than 10 degrees , but 0 degrees doesn't mean no temperature)
26
describe the difference between a single-blind procedure and a double-blind procedure
in a double-blind procedure, neither the researcher nor the participant are aware of the aims, procedures and conditions of the study. In a single-blind procedure its only the participant who isn't aware of them - the researcher is
27
describe the difference between unstructured and structured observation
structured observation uses a predefined behavioural checklist to record specific behaviours in a systematic way . whereas unstructured observation involves the researcher recording all relevant behaviours without a set system, resulting in more detailed but less objective data
28
describe how correlations differ from experiments
firstly, with correlations variables are simply measured not manipulated , secondly there is no DV or IV involved , in correlation , which means there is no cause and effect relationship found , only an association found
29
identify three measures of central tendency
mode median mean
30
describe the difference between primary and secondary data
primary data is obtained firsthand by the researcher and is specific to the aim of the study. secondary data has already been collected by someone else other than the researcher , not specifically for the aim of the study , then used by the researcher
31
outline three things a researcher should think about when constructing a questionnaire
- Clarity - make sure it is clear what each of the questions are asking - Analysis - the questionnaire should be written in a way that can be easily analysed - sequencing questions - the researcher should think about the order of questions , maybe easy ones first then harder ones last to build up confidence of participants.
32
two strength of conducting an unstructured interview
- lots of data is collected which has more depth and detail - it can be tailored to individuals giving more insight into the subjective experience of the person being interviewed
33
identify various types of observation (6)
naturalistic controlled overt covert participant non-participant
34
naturalistic observation
observing behaviour in its natural setting
35
controlled observation
observation under controlled conditions
36
participant observation
researcher becomes part of the group being studied
37
non-participant observation
researcher observes without involvement
38
overt observation
participants are aware they are being observed
39
covert observation
participants are unaware they are being observed
40
what are the different ethical issues that research may present ?
- informed consent - participants must be fully informed about the nature and purpose of the research and give voluntary agreement to give part - deception - participants should not be misled about the true aims of the study unless absolutely nessecary . if used , a full debrief must follow - protection from harm - participants should not be exposed to physical or psychological harm. - privacy and confidentiality - researchers must respect person space and personal datas and identities must be kept private , unidentifiable. Using a diff name , avoid publishing details of address , schools etc - right to withdraw at any time
41
3 types of correlation
correlation = measures the relationship between two variables - positive correlation - both variables increase together - negative correlation - one variable increases as the other decreases - zero correlation - no relationship between variables
42
laboratory experiment
conducted in a controlled environment s= high control over variables w= low ecological validity
43
field experiment
conducted in a natural setting s=higher ecological validity w= less control over variables
44
natural experiment
IV occurs naturally; not manipulated s=ethical for certain studies w= no control over IV
45
Quasi-experiment
IV is based on existing differences e.g. gender s= allows study of variables that can't be manipulated w= cannot randomly allocate participants
46
random sampling
every member of the population has an equal chance of selection
47
systematic sampling
selecting every nth person from a list
48
stratified sampling
proportional representation from subgroups
49
opportunity sampling
selecting participants who are readily available
50
volunteer sampling
participants self-select to take part
51
null hypothesis
states that there is no relationship or difference between variables