Chapter 2: Studying Behaviour Scientifically Flashcards

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1
Q

The 7 steps in the scientific process

A
  1. Initial observation or question (curiosity)
  2. Gathering information and forming a hypothesis
  3. Testing the hypothesis (conducting research)
  4. Analyse data, draw tentative conclusion
  5. Report findings
  6. Further research and theory building
  7. New hypothesis derived from theory
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2
Q

Variable

A

Any characteristic or factor that may vary

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3
Q

Operational definition

A

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

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4
Q

Social desirability bias (in self reports and reports by others)

A

The tendency to respond in a socially acceptable manner instead of how you truly feel or behave

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5
Q

Unobtrusive measures

A

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

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6
Q

Archival measure

A

Record or document that already exists

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7
Q

Informed consent

A

Study subjects should be informed about:

  • Study purpose and procedures
  • Study potential risks and benefits
  • the right to decline or withdraw at any point
  • confidential responses or not
  • if not, how privacy will be safeguarded
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8
Q

Descriptive research

A

Seeks to identify behavior of humans and animals, especially in natural settings

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9
Q

Case study

A

In depth analysis of an individual, group or event (Glenn-Kenneth)

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10
Q

Naturalistic observation

A

The researcher observes behavior as it occurs in a natural setting

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11
Q

Survey research

A

Information about a topic is obtained by questionnaires or interviews to many people

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12
Q

Population

A

The individuals 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

Correlational research

A

Measures one variable (x), measures a second variable (y), and statistically determines whether they are related

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16
Q

Correlation coefficient

A

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

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17
Q

Positive corrrelation

A

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

18
Q

Negative correlation

A

Higher scores on one variable are associated with lower scores on a second variable

19
Q

Scatterplots

A

Graphs that show the correlation between two variables

20
Q

Independent (predictor) variable

A

The factor that is manipulated by the experimenter

21
Q

Dependent (response, output, outcome) 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

Is not exposed to the treatment or receives a zero level of the independent variable

24
Q

Random assignment

A

Procedure in which each participant has an equal likelihood to be assigned to any one group within the 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 affected a dependent variable

28
Q

Demand characteristics

A

Cues that participants pick up about the hypothesis of a study or about how they are supposed to behave

29
Q

Experimenter expectancy effects

A

Subtle and unintentional ways researchers influence their participants to respond according to the hypothesis

30
Q

Double-blind procedure

A

Both experimenter and participant are kept blind as to which condition the participant is kept in

31
Q

External validity

A

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

32
Q

Replication

A

Repeating a study to find out if the original results can be duplicated

33
Q

Descriptive statistics

A

Allow us to summarize and describe the characteristics of a set (or distribution) of data

34
Q

Mode

A

The most frequently occurring score in a distribution

35
Q

Median

A

The point that divides a distribution of scores in half when those scores are arranged in order from lowest to highest

36
Q

Mean

A

The arithmetic average of a set of scores

37
Q

Range

A

The difference between the highest and lowest scores in a distribution

38
Q

Standard deviation

A

Takes into account how much each score in a distribution differs from the mean

39
Q

Inferential statistics

A

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

40
Q

Statistical significance

A

It is very unlikely that a particular finding occurred by chance alone

41
Q

Meta-analysis

A

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