Studying Behaviour Scientifically Flashcards

Kapittel 2

1
Q

hypothesis

A

a specific prediction about some phenomenon or other.

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2
Q

theory

A

a set of formal statements that explain how and why certain events are related to one another.

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3
Q

variable

A

any characteristic or factor that can vary.

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4
Q

operational definition

A

defines a variable in terms of the specific procedures used to produce or measure it.

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5
Q

electroencephalography (EEG)

A

measures the activity of large groups of neurons through a series of large electrodes placed on the scalp.

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6
Q

unobtrusive measure

A

records behavior in a way that keeps participants unaware that they are being observed.

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7
Q

archival measure

A

record or document that already exists.

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8
Q

descriptive research

A

seeks to identify how humans and other animals behave, particularly in natural settings.

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9
Q

case study

A

an in-depth analysis of an individual, group or event.

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10
Q

naturalistic observation

A

technique in which the researcher observes behavior as it occurs in a natural setting.

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11
Q

survey research

A

technique where information about a topic is obtained by administering questionnaires or interviews to many people.

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12
Q

population

A

all the individuals that we are interested in drawing a conclusion about.

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13
Q

sample

A

a subset of individuals drawn from the larger population.

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14
Q

representative sample

A

reflects the important characteristics of the population.

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15
Q

correlation coefficient

A

a statistic that indicates the direction and strength of the relation between two variables.

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16
Q

positive correlation

A

higher scores on one variable are associated with higher scores on a second variable.

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17
Q

negative correlation

A

when higher scores on one variable are associated with lower scores on a second variable.

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18
Q

scatterplots

A

graphs that who’s the correlation between two variables.

19
Q

experiment

A

in an experiment the experimenter manipulates one or more variables, measures whether this manipulation influences other variables and other attempts to control extraneous factors that might influence the outcome of the procedure.

20
Q

independent variable

A

the factor that is manipulated by the experimenter.

21
Q

dependent variable

A

the factor that is measured by the experimenter and may be influenced by the independent variable.

22
Q

experimental group

A

the group that receives a treatment or an active level of the independent variable.

23
Q

control group

A

the group not exposed ti the treatment or that receives a zero level of the independent variable.

24
Q

random assignment

A

procedure in which each participant has an equal likelihood of being assigned to any one group within an experiment.

25
Q

counterbalancing

A

procedure in which the order of conditions is varied so that no condition has an overall advantage relative to the others.

26
Q

internal validity

A

the degree to which an experiment supports clear casual conclusions.

27
Q

confounding of variables

A

two variables are intertwined in such a way that we cannot determine which one has influenced a dependent variable.

28
Q

demand characteristics

A

cues that participants pick up about the hypothesis og a study or about how they are supposed to behave.

29
Q

placebo

A

a substance that has no pharmacological effect

30
Q

placebo effect

A

people reciting a treatment show a change in behavior because of their expectations not because the treatment itself had any specific benefit.

31
Q

experimenter expectancy effects

A

subtle and unintentional ways in which researchers influence their participants to respond in a manner that is consistent with the researchers hypothesis.

32
Q

external validity

A

the degree to which the results of a study can be generalized to other populations, settings and conditions.

33
Q

replication

A

process of repeating a study to determine whether the original findings can be duplicated.

34
Q

descriptive statistics

A

statistics that allow ut t summarize and describe the characteristics of a set of data.

35
Q

mode

A

the most frequently occurring score in a distribution.

36
Q

median

A

the point that divides a distribution of scores in half when those scores are arranged in ordet from lowest to highest.

37
Q

mean

A

the arithmetic average of a set of scores.

38
Q

range

A

the difference between the highest and lowest scores in a distribution.

39
Q

standard deviation

A

statistic that takes into account how much each score in a distribution differs from the mean,

40
Q

inferential statistics

A

allow us to make inferences about a population from data provided by a sample of that distribution.

41
Q

statistical significance

A

holds that it is very unlikely that a particular finding occurred by chance alone.

42
Q

meta-analysis

A

a statistical procedure for combining the results of different studies that examine the same topic.

43
Q
A