Intro to Psych Flashcards

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1
Q

What is a population

A

the whole group of people of interest to the researchers

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2
Q

What is a sample

A

the participants being studied in the research. A smaller group selected from the population as it would be impossible to conduct a study using the entire population

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3
Q

Why must a sample be large and how large

A

A sample must be large enough to be statistically convincing and diverse enough to accurately represent the population. 10% of population is representative.

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4
Q

Sample and generalisation

A
  • The results obtained from a representative sample can be generalised to the relevant population. We can draw conclusions about the population based on the results from the sample. The bigger the sample, the more reliable the results.
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5
Q

Three types of designs

A
  • Experimental
  • Quantitative observational
  • Qualitative
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6
Q

What is an experimental design

A
  • An experimental design is used to test whether one variable influences of causes a change in another variable.
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7
Q

Where can an experimental design be tested

A

a laboratory or field setting

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8
Q

4 characteristics of an experimental group

A
  • IV and DV
  • random allocation
  • cause and effect
  • control groups
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9
Q

Placebo effect

A
  • The placebo effect is a participant variable that refers to an improvement in health or wellbeing due to an individual belief that the treatment given to them is effective, rather than due to the actual treatment.
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10
Q

What are extraneous variable

A
  • Extraneous variables are all other variables other than the IV and DV that may affect results they can be participant based, situational or researcher based.
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11
Q

Way to reduce researcher variables

A
  • A way of reducing researcher variables is a double-blind procedure in which both the person collecting the data and the participants are unaware of the conditions to which the participants have been assigned.
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12
Q

Quantitative observational

A
  • The collection of quantitative data by observing pre-existing criteria and variables.
  • Conducted when the IV cannot be manipulated for a range of reasons
  • Does not provide a cause and effect, but a correlation
  • There is no random allocation as the groups already exist
  • The independent variable occurs naturally.
  • Extraneous variables are less controlled hence why we cannot establish a cause and effect
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13
Q

Qualitative design

A
  • This design method produces data in comprehensive verbal and written form.
  • They do not seek to test a specific hypothesis
  • Focus groups and Delphi technique.
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14
Q

Focus group

A
  • A method of conducting group interviews for collecting data for research.
  • Provides the opportunity of talking to people to find out what they think and feel
  • Snowball effect
  • 6-12 people
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15
Q

Delphi Technique

A
  • A method of using questionnaires to collect data about opinions from a group of participants who are experts on a topic.
  • The questionnaire is sent out, answer, then sent out again, aiming to form a consensus.
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16
Q

Content Analysis

A
  • Used to analyse data from focus groups and the Delphi technique
  • A process called coding is used, reducing large amounts of text into a few categories.
  • The process involves
  • Careful reading of all responses
  • Identifying, naming and sorting core themes within the data
  • Identifying sub themes
  • Noting the frequency with which these occur
  • Looking for patterns in what people say.
17
Q

Advantages of experimental

A
  • cause and effect
  • control over variables
  • replicable
18
Q

Disadvantages of experimental

A
  • artificial
  • Unethical
  • Extranous variables decrease validity
19
Q

advantages of Quantitative observational

A

can study topics experiments cannot.

20
Q

Disadvantages of quantitative observational

A

does not allow for cause and effect

21
Q

Advantages of qualitative

A

very good for investigating attitudes
avoid ethical problems
illiterate

22
Q

Disadvantages of qualitative

A

no cause and effect
can’t test a hypothesis
time consuming

23
Q

Quantitative

A

numerical quantities

24
Q

Qualitative

A

non-numerical qualities

25
Q

Objective

A

can be directly observed or verified

26
Q

Subjective

A

depends on perception or opinion

27
Q

inventory/standardised

A

Objective

28
Q

Face validity

A

refers to whether a measurement tool actually measures what it is supposed to measure. If a questionnaire is designed to measure people’s attitude then if it is valid it will give a good indication as to what a person’s attitude really is.

29
Q

Social desirability

A

the tendency of some respondent to report an answer in a way they deem to be more socially desirable than their true answer. They do this to project a favourable image of themselves.

30
Q

External validity

A

this refers to whether or not the conclusions drawn from the results are correct in other situations. Are they representative of population? Are they applicable in the real world.

31
Q

Reliability

A

refers to how consistent the results of a measurement are.

Results can be reliable but not valid (consistent but wrong)

32
Q

Results bunched up on graph

A

Low standard deviation

33
Q

Results spread out on graph

A

High standard deviation

34
Q

Statistical Power

A
  • in small sample sizes, extraneous variables have greater impacts.