10 - Research Methods Flashcards

(44 cards)

1
Q

Experimental

A

An experiment is a study that investigates a cause-and-effect relationship between two or more variables. It allows for reasons for behaviour to be identified.

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2
Q

Non-experimental

A

These methods describe behaviour. DO not explain the reason why the behaviour occurs, but do give solid scientific data when correctly executed and interpreted.

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3
Q

What’s the difference between experimental and non-experimental methods?

A

If there is an independent variable that has been deliberately changed, it is experimental. If not, it’s non-experimental.

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4
Q

Scientific

A

The process of developing an explanation of a question in the natural world by testing, investigating and collecting data that will either support or refute the original idea.

  • experimental design
  • control of uncontrolled variables
  • conducted to test hypotheses
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5
Q

Non-scientific

A

Not a systematic collection of evidence or tries to find answers about things other than the natural world, such as beliefs.

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6
Q

Difference between scientific and non-scientific research:

A
  1. Collection of evidence: systematic vs non-systematic
  2. Methodology: follows a descriptive set of instructions vs little to no instructions.
  3. Reliability: can be reproduced vs can’t be
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7
Q

Subjective vs objective

A

Viewpoint based on personal belief, feelings, opinions etc. VS viewpoint base on factual data collected through scientific investigation.

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8
Q

Population

A

Entire group of people belonging to a particular category. Group of people of interest from which the sample is to be drawn from.

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9
Q

Sample

A

A group of participants selected from, and representatives of, a population of interest.

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10
Q

What is the difference between sample and population data?

A

Often the sample doesn’t represent the whole population (biased). Occurs due to convenience sampling: using participants who are easier to access.

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11
Q

How do you minimise sample bias?

A

Use either:

  1. Random sampling: Each person in the population has an equal chance of being chosen.
  2. Random stratified sampling: separating the population into groups and taking a random sample from each group.
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12
Q

Ethics

A

Moral principles and codes of behaviour that apply to all psychologists. They are put in place for a number of reasons, such as to protect volunteers.

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13
Q

Confidentiality

A

Participants must not be able to be identifies in the reporting of the data unless they give permission. E.g secure data in a password protected computer for 7 years, alter names.

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14
Q

Voluntary participation

A

Participants must not be pressured to participate in any way. E.g don’t threaten, bribe.

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15
Q

Withdrawal rights

A

Participants must be allowed to withdraw at any time and have their data removed from the study if they wish.

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16
Q

Informed consent

A

Researcher must obtain informed consent of each participant or their legal guardian.

E.g reason for the study, method of data collection, benefits and risks etc.

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17
Q

Deception

A

Keeping the real purpose of an experiment a secret from participants because if they knew they would act differently.

Needs debriefing at the end: telling them the true purpose of the study, including whether or not they took the real substance or the placebo. Participants can withdraw data after.

Should not occur unless it is necessary.

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18
Q

Operationalised hypothesis

A

A testable prediction that explains exactly how the variables will be measured and manipulated as well as the population.

  • IV and how it will be changed
  • Population
  • DV and how it will be measured.
19
Q

Observation

A

In-depth observation of behaviour as it occurs in nature (e.g Dexter Dunphy).

A -> allows the study of complex behaviour/conditions which can’t be made.

B -> hard to generalise to population, observer bias, can’t establish causation, may not be ethical.

20
Q

Survey

A

Asking people questions about their personal attitudes/behaviours/opinions.

A-> no researcher bias, large amnt. of data, large sample size.

D-> social desirability bias, poor English skills, can’t establish causation.

21
Q

Correlational study

A

Seek to establish whether or not there is a relationship between two variables.

Quantitative (-1 - 1) -> strength and direction.

A-> relationship can be quantified.

D-> causation

22
Q

Archival research

A

Performed by analysing studies conducted by other researchers or by looking at historical patient records.

A-> lots of data, already been collected (saves resources).

D-> data may be missing from records, may be unreliable, errors caused by changing definitions (e.g family)

23
Q

Rating scales

A

Rank their opinion of something. E.g Likert scale: statement listed and participants circle the number indicating their response.

A-> understand strength and/or direction of response

D-> doesn’t give reason

24
Q

Fixed Response

A

Set amount of answers to choose from.

25
Interview
Open ended q’s asked verbally.
26
Focus group
A group is asked about their opinions and have a chance to discuss them. A-> + information may be collected because something one person says may stimulate ideas or trigger memories in someone else. D-> social desirability bias
27
Open ended questionnaire
Written responses where the person is asked a question to which there is no limit.
28
Qualitative
Obtaining data that is non-numerical, descriptive and no IV. A-> detailed data, ppl can explain their responses
29
Quantitative
Obtaining data that is numerical A-> able to be statistically analysed, quick, cheap. D-> can’t explain why
30
Frequency table
Identifies how many participants achieved each score.
31
Histograms
Intervals on x-axis and frequency on y-axis. Data is continuous.
32
Column graph
Columns don’t touch because data is discrete. A gap between first column and y-axis.
33
Frequency polygon
Shows frequency distribution of scores falling into each category.
34
Reliability
The extent to which an assessment tool measures consistently. Same result every time. 1. Internal consistency: same score no matter the order (e.g split half method). 2. Test-retest reliability: same score every time you do the test.
35
Types of validity
1. Face: measure what it claims to? 2. Concurrent: performance compared to well known test. 3. Predictive: extent to which it can predict attributes or behaviours.
36
Design error
- No control group - Biased sample - Uncontrolled variables
37
Participant error
Hawthorne effect - work harder when in experiment. Placebo effect - change in behaviour due to the idea of taking a substance (e.g alcohol)
38
Single blind design vs double blind design
Participants don’t know if they are part of experimental/control group. Participants and experimenter don’t know which ppl in which group. (Reduces experimenter error)
39
Experimenter error
Treating diff. groups differently -> change in participant’s behaviour and therefore the results. E.g diff. body language, treatment. Reduce: someone else conduct the study, double blind design.
40
Steps of the Scientific Method
1. Identify a research issue/problem 2. Develop a specific question/ hypothesis 3. Choose research design and method 4. Collect data 5. Analyse data 6. Interpret data 7. Report findings
41
Participant
People who provide the data in studies and experiments.
42
Convenience sample
A sample that is readily available to the researcher. - Fast, cheap and easy. - Not representative of the whole population (likely to be biased).
43
Random Sample
Ensures all participants have an equal chance of being selected to participate. Unbiased -> can be generalised to the population. $$, time consuming
44
Stratified (random) sampling
Ensures sub-sets are represented in the sample in the same proportion as in the population. Participants are randomly selected from subsets. Time-consuming