Chapter 1 Flashcards

0
Q

Testable hypothesis

A

Prediction that has been formulated specifically enough so that it is clear what observations would challenge it

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1
Q

Variable

A

Any characteristic whose values can change

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2
Q

Operational definition

A

Definition that translates the variable we want to assess into a specific procedure or measurement

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3
Q

Dependent variable

A

Variable that is measured or recorded in an experiment

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4
Q

Independent variable

A

Variable that the experimenter manipulates as a basis for making predictions about the dependent variable

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5
Q

Population

A

The entire group about which the investigator wants to draw conclusions

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6
Q

Sample

A

The subset of the population that the investigator studies in order to learn about the population at large

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7
Q

Random sampling

A

A procedure in which every member of the population has an equal chance of being picked to participate in a study

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8
Q

Case study

A

An intensive study of one person

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9
Q

External validity

A

The degree to which a study’s participants, stimuli, and procedures adequately reflect the world as it actually is

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10
Q

Demand characteristics

A

The cues in a study that might tell a research participant what behaviors are expected or desirable in that setting

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11
Q

Double-blind design

A

The technique of assigning participants to experimental conditions while keeping both the participants and the researchers unaware of who is assigned to which group

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12
Q

Descriptive statistics

A

Mathematical procedures that allow a researcher to characterize a data pattern; these procedures include measures of central tendency and of variability

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13
Q

Inferential statistics

A

Mathematical procedures that allow a researcher to draw further claims from a data pattern including claims about whether the pattern observed in the sample is likely to be observed and other samples

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14
Q

Mean (M)

A

A measure of central tendency computed by calculating the sum of all the observations then dividing by the number of observations

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15
Q

Median

A

A measure of central tendency taken by putting the data values in order and finding the value that divides the distribution in half

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16
Q

Variability

A

The degree to which scores in a frequency distribution depart from the central value

17
Q

Standard Deviation

A

A measure of the variability of a dataset calculated as the square root of the variance

18
Q

Correlation

A

The tendency of two variables to change together. If one goes up and the other goes up, the correlation is positive; if one goes up and the other goes down, the correlation is negative

19
Q

Correlation coefficient (r)

A

Number that expresses both the size and the direction of a correlation, varying from +1.00 (perfect positive correlation) to -1.00 (perfect negative correlation)

20
Q

Reliability

A

The degree of consistency with which a test measures a trait or attribute

21
Q

Validity

A

The extent to which a method or procedure measures what it is supposed to measure

22
Q

Effect size

A

The magnitude of the difference between groups in a study, often computed by subtracting the mean of one groups score from the mean of the others score

23
Q

Statistical significance

A

A calculation central to inferential statistics that describes the likelihood that the results of a study happened by chance

24
Q

Quasi-experiment

A

A comparison that relies on already existing groups

I.e., groups the experimenter did not create

25
Q

Correlation studies

A

Studies in which the investigator analyzes the relationships among variables that were in place before the study without manipulating those variables

26
Q

Third-variable problem

A

The possibility that two correlated variables maybe changing together only due to the operation of a third variable

27
Q

Experiment

A

A study of casual relationships in which the researcher manipulates an independent variable to examine it’s effect on a dependent variable

28
Q

Experimental manipulation

A

The deliberate alteration of the independent variable in an experiment in order to learn about it’s effects on the dependent variable

29
Q

Experimental group

A

The group within an experiment that experiences the researchers manipulation of the independent variable

30
Q

Control Group

A

A group within an experiment that does not experience the experimental manipulation

31
Q

Random Assignment

A

In an experimental design the random placement of participants in either the experimental or control groups ensuring that the groups are matched at the outset of the experiment

32
Q

Within-subject Comparisons

A

Within a study, comparing the data about each participant in one situation to data about the same participant in another situation

33
Q

Between-subject Comparisons

A

Within a study, comparing one group of individuals to a different group

34
Q

Internal validity

A

The characteristic of a study that allows us to conclude that the manipulation of the independent variable caused the observed changes in the dependent variable

35
Q

Replication

A

A repetition of an experiment that yields the same results

36
Q

Meta-analysis

A

A statistical technique for combining the results of many studies on a particular topic even when the studies used different data collection methods

37
Q

Informed consent

A

A research participants agreement to take part in the study, based on full information about what the experiment will involve

38
Q

Debriefing

A

A step at the end of an experiment in which the researcher explains the study’s purpose and design to each participant and undoes any manipulations to participants beliefs or state

39
Q

Empirical claims

A

Claims that can be true or false depending on the facts