Research methods Flashcards

(56 cards)

1
Q

What is the mean

A

average, calculated by adding up all the numbers and dividing by the total of numbers.

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2
Q

what is the median

A

the middle value in an ordered list

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3
Q

what is the mode

A

most common value

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4
Q

What are the levels of measurement used?

A

nominal, ordinal, interval and ratio

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5
Q

What is nominal level of measurement

A

putting into categories, usually when they are word labelled.
It provides less information than the others.

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6
Q

What is ordinal level of measurement

A

positions or ranks within a group, not with equal distance between units.

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7
Q

what is interval level of measurement

A

interval data in equal agreed units.

It provides the most information.

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8
Q

What is ratio level of measurement

A

measuments where there is equal distance between units and a true 0 point.

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9
Q

what are the measures of central tendency

A

Mean , Median , Mode

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10
Q

what are the measures of dispersion

A

Range and Standard deviation

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11
Q

what is the range

A

difference between the highest and lowest

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12
Q

what is standard deviation

A

calculates the average distance from the mean of all scores. it considers and the scores.

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13
Q

what is a correlation

A

a relationship between two variables or -1 to 1 with 0 being no correlation, -1 being a negative correlation and 1 a positive correlation

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14
Q

what is a positive correlation

A

as one variable rises so does the other

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15
Q

what is a negative correlation

A

as one variable rises the other falls

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16
Q

what letter stands for the correlational coefficient

A

r

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17
Q

what is a correlational coefficient

A

a number ranging from -1 to 1 showing the strength of a relationship. e.g. 0.76

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18
Q

lab experiment

A

a set up experiment in a labratory.
>controlled, scientific
+-tight control over variables and is replicable. high internal and external validity
- - artificial so lacks ecological validity and low mundane realism and demand charcteristics
- ethics
Iv/DV are operationalised so dosent represent reality

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19
Q

Field Experiment

A

exploitation of environment in a pubic domain.
> natural environment outside Lab
+- High Ecological Validity, high mundane realism and low demand characteristics
– low control on variables and ethical? deception
-low internal validity

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20
Q

Natural Experiment

A

capitalising a naturally occuring event which can never be replicated
+ ethical as would be unethical to set up anyway
+ high eco val. and high mundane realism
+ theory development
- cannot generalise
- rare events
- no control

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21
Q

Quantitative Data

A

numbers etc.

+- easy , neat, ecomomic, objective, can be translated into graphs etc

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22
Q

Qualitative Data

A

word etc.

–subjective, open to interpretation, partial, bias, too much data, uneconomic.

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23
Q

What is content analysis and how do you do it

A

turning qualitative data into quantitative.

1) sorting by theme. e.g. count or measure
2) coding system = frequency data

24
Q

what is wrong with self report techniques

A

> self desirability bias

>demand characteristics

25
what is an closed question
a questions where there is a choice of answers
26
what is an open question
a question where detail and elaboration is needed.
27
Evaluate correlational research
ADV: correlational analysis shows the direction and strength of relationships so the findings can be used to generate ideas for future research DISADV: correlational research only explains the two variables that are being studied, but other factors may be involved that were not known of, or accounted for.
28
natural observation
``` > observe not interfere + high eco. val. + no demand characteristics + theory development - extraneous variables - observer bias ```
29
content analysis
converting Qualitative to quantitative > coding units used > statistical analysis the carried out
30
what are pilot studies
small scale study before actual to foresee problems
31
how to control variables
* Counterbalancing- mixing up order of tasks to solve order effect * Random allocation- to create equal balance in the group * Extraneous variables- all variable are kept constant for all participants; same place, same time, same conditions * Standardizing instructions- keep everything as similar as possible from context to instructions.
32
independent groups design
• Different participants (one with audience and one without) in each group + Avoids order effect, learning effect and fatigue effect - Participants effect; one group may be better - Twice as many needed
33
Repeated measures design
• All participants do both tasks (on with audience, one without) + Participants variables reduced + Fewer participants needed - Order effect
34
Matched pairs design
``` • Different participants in each condition, but they are matched on important variables. + No order effect + Participants variables minimized - A lot of participants - Time- consuming ```
35
selecting and using pps
> target group is part of population you are interested in | > target group should be representative- if not it is biased
36
random sampling
every member has equal chance of being selected. + Fair - Not representative- subgroups may not be selected.
37
opportunity sampling
participants are picked if they are available and willing. + Quick, easy and practical - Not representative- can’t generalize.
38
volunteer sampling
participants actively volunteer. + Willing participants ==> more in-depth analysis. - Participants are more likely to be more cooperative ==> not representative.
39
participant effect
* If a participant knows they are being observed; they will change their behavior. * This will effect validity or reliability
40
social desirability bias
- participants will present themselves in a better way
41
demand characteristics
when participants form an idea about the study and try to ‘please’ the researcher.
42
researcher bias
• The researchers expectations influence their design and conduction of the study. Their behavior may produce demand characteristics
43
interviewer effect
may lead to leading questions, participant’s answers may be adapted to fir expectations, and interviewers behavior can affect the participants.
44
directional hypothesis
stating a directional prediction e.g. group A will do better than B
45
non- directional hypothesis
states there will be a difference, but does not state what the difference will be e.g. one group will do better than the other
46
null hypothesis
what you assume is true before the study; usually there will be no relationship
47
experimental hypothesis
if you reject the null hypothesis you must form one; usually there is a relationship
48
evaluate questionaires
``` + Lots of info + Quick, easy, cheap + Low researcher bias + Median and mode can be assessed + Allows for degrees of opinions + Anonymity - Bad questions = bad answers - Leading questions - Opened or closed questions provide different data and responses - Biased samples - Self- report ==> social desirability bias - Ethics- confidentiality ```
49
structured interviews
comprised of pre-determined questions, little training and easy to analyze. Behavior is observed as it occurs; high mundane reality, low demand characteristics + Rich data - Self report ==> social desirability bias - Impractical _. Time consuming - Ethics- confidentiality
50
unstructured interviews
``` set of discussion topics, less constrained about the conversation. New questions emerge as you proceed. + Rich data + Pilot study can be used - Cant generalize - Interviewer bias ==> to participants and study - Recollection unreliable - Confidentiality - Time consuming ```
51
case studies
``` • Intense description on a single case + Rich data + Unique ==> promote new studies or theories - Cant generalize - Ethics - Causal relationship cannot be assumed ```
52
ethical issues
``` CONFIDENTIALITY PRIVACY PSYCHOLOGICAL HARM INFORMED CONSENT RIGHT TO WITHDRAW DEBRIEF DECEPTION ANIMAL RIGHTS ```
53
participants observations
researcher participates in activity + Develops relationship - Lose objectivity which lead to social desirability bias
54
non- participant observation
researcher observes + Greater objectivity - Low sense of group dynamic
55
structured observation
pre-defined behavior categories used Categories must be operationalised and must be objective + Relevant data - Interesting data unrecorded
56
participant effects
Participants respond to the info they receive and try harder to give desired answer. Opposite can happen if participants aren’t interested in study