Research definitions Flashcards

1
Q

What is the first step in designing an experiment?

A

develop a testable research question or problem.

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2
Q

Hypothesis

A

a testable prediction about the relationship between two or more variables

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3
Q

Raw data`

A

the actual data collected from the staudy

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4
Q

Analysis of data

A
Involves:
 * organizing
* summarizing
*  representing
the raw data in a coherent
( understandable) and logical manner.
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5
Q

Interpret the data

A

involves forming conclusions about what the data shows.

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6
Q

Conclusion

A

is a decision or judgement about the meaningfulness of results in a study.
Addresses the Hypothesis, says if the results are statistically significant

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7
Q

experiment

A

is a study that investigates a cause and effect relationship between two or more variables

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8
Q

Variable

A

is any condition that can change

e.g. temperature, IQ

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9
Q

Independent Variable

A

“Miss Independent likes to change!”
Scientist controls.

It is a condition that an scientist systematically ( in an orderly way) varies or changes in order to gauge its effects on another variable.
e.g. a scientist studies if temperature effects the rate that seeds germinate.
Temperature is the IV.

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10
Q

Dependent Variable

A

What you measure in the experiment.

What is affected in the experiment.

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11
Q

Operational Definition

A

Explains what each variable is and how it is measured.

E.g. Operational definition of “work” is amount of study of text book in hours.

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12
Q

Experimental Group

A

the group exposed to the experimental condition. The IV is applied to them
e.g. they are given an experimental drug

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13
Q

Control Group

A

the group not exposed to the IV.

e.g. they are not given an experimental drug.

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14
Q

Population

A

the entire group of people belonging to a particular category.

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15
Q

Sample

A

a group of participants selected from and representative of a population .

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16
Q

Random Allocation

A

a technique that ensures every member of the sample has an EQUAL OPPORTUNITY of being assigned to either the control or experimental group

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17
Q

Extraneous Variables

A

any other variable that affects the results of the experiment.
e.g. mood, personality, motivation, memory etc.

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18
Q

Artificiality

A

the unnatural environment in which the experiment takes place effects the results.

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19
Q

Demand characteristics

A

the participants knowledge about the experiment affects their behavior.
This affects the experiments results.

20
Q

Standardised procedures

A

are used to keep consistent each test and its procedure, making sure all the conditions are the same each time.

21
Q

Order Effects

A

Occurs when the performance is influenced by the order in which the tasks are done
Mainly in repeated measures design.
(test and retest.)

22
Q

Carry-over effects

A

the influence that a particular task has on performance in a later task.

23
Q

Boredom effects

A

the repetition of the same task, or lack of concentration due to the simple nature of the task, its length etc.

24
Q

Experimenter effects

A

occurs when there is a change in the participants’ response due to the researcher’s expectations, biases or actions rather than the IV.

25
Placebo
fake drug or treatment, used in the control group. | They are unaware if they are receiving the drug or not.
26
Placebo effect
refers to the improvement in health or wellbeing due to a person's belief that the treatment given to them will be effective.
27
Independent Group Design
involves randomly allocating the members of the sample to either the experimental or control group.
28
Independent Group Design Adv and Disadv
Adv = is quick and easy Disadv = may not be fully representative of the population.
29
Matched Participants Design
involves pairing each participant based on a certain characteristic they share.
30
Matched Participants Design Adv and Disadv
Adv = minimized extraneous variables Disadv = time consuming, one may drop out etc.
31
Repeated Measures Design
only using one group of participants and exposing that group to both the control and experimental conditions.
32
Repeated Measures Design Adv and Disadv
Adv = eliminates the impact of participant differences , requires rel small number of people. Disadv = order effects, boredom effects , practice effects, carry-over effects.
33
Subjective data
data collected through observations of behavior or information based on self-report
34
Objective data
data collected and measured under controlled conditions and are easily compared and measured with other data (e.g. numbers)
35
Convenience sampling
selecting people based on the researchers accessibility to them.
36
Convenience sampling Adv and Disadv
Adv = convenient, quick Disadv = biased, unable to generalize to people
37
Random Sampling
carefully planned and systematic method of selecting people for a study.
38
Random Sampling Adv and Disadv
Adv = very quick and inexpensive, not biased. Disadv = may not represent population
39
Stratified Sampling
breaking down the population into distinct subgroups. | Then select sample from each group.
40
Stratified Sampling Adv and Disadv
Adv = representative of population. Disadv = time consuming
41
Data Collection methods
case studies observational studies self report brain imaging and recording technologies
42
case studies
in depth or detailed study on one person or small group Most often longitudinal. Adv = gain very specific info Dis = time consuming, can't generalize.
43
Observational Studies
a scientist observing another person or group of people in a natural environment, recording what they see. Adv = eliminated artificiality Dis = rely on scientist's interpretation of events.
44
Self- report
Person asked to comment on own thoughts and feelings by answering questions on a particular topic Adv = gain insight as to reasons behind behavior. Dis = difficult to compare data due to subjective nature of data.
45
Brain Imaging
technology that involves gaining structural or functional images of an active brain CT scans, MRI,