Ch.2 Research methods Flashcards

1
Q

Measure

A

Method of describing a variable’s quantity

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2
Q

Validity

A

Quality of a measure that leads to correct conclusions

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3
Q

Control group

A

Experiences all experimental procedures except exposure to the independent variable

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4
Q

Meta-analysis

A

Statistical review of many previous experiments on a single topic

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5
Q

Cross sectional study

A

Assessing age related changes w/ the data simultaneously from people of differing ages.

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6
Q

Theory

A

Set of facts and relationships b/w facts that can explain and predict related phenomena

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7
Q

Experiment

A

Research method that tests hypotheses and allows researchers to make conclusions about causality

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8
Q

Dependent variable

A

Measure demonstrates re effects of the control, the result part of the hypothesis

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9
Q

Survey

A

Descriptive Method where participants are asked the same questions

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10
Q

Random Assignment

A

Each participant has an equal chance of being placed in any group in an experiment.

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11
Q

Publication bias

A

Possibility that studies are not representative of all work done on a particular phenomenon.

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12
Q

Statistical Significance

A

Standard for deciding whether an observed result is because of chance

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13
Q

Reliability

A

Consistency of a measure including: test-retest, interested, intermethod, and internal consistency

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14
Q

Normal distribution

A

Symmetrical probability function

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15
Q

Placebo

A

Inactive substance or treatment that cannot be distinguished from a real active, substance or treatment

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16
Q

Case Study

A

In depth analysis of the behaviour of one person or a small # of people

17
Q

Inferential Statistics

A

Method that allows experimenters to extend conclusions from samples to larger populations

18
Q

Longitudinal Study

A

Assessing age related changes w/ data from the same individuals over a long period

19
Q

Standard Deviation

A

Measure of how tightly clustered around the mean a group of scores is

20
Q

Descriptive Statistics

A

Methods that organize data into meaningful patterns and summaries, like finding the average value

21
Q

Variable

A

Factor that has a range of values

22
Q

Experimental group

A

Participants who are exposed to the independent variable

23
Q

Correlation

A

Measure of the direction and strength of the relationship b/w two variables

24
Q

Operationalization

A

Defining variables in ways that allow them to be measured.

25
Naturalistic Observation
In depth study of a phenomenon in its environment
26
Confounding variable
Is irrelevant to the hypothesis being tested but can alter a researchers conclusions
27
Third variable
Variable that is responsible for a correlation observed between two other variables of interest
28
Confirmation bias
Noticing and remembering instances that support your beliefs more than instances that contradict them
29
Null Hypothesis
States the default position that there is no real difference between two measures
30
Double blind procedure
Design where the participant and experimenter both don’t know who’s been assigned the placebo
31
Descriptive method
Research methods designed for making careful, systematic observations
32
Independent variable
Controlled and manipulated by the experimenter, the if A happens part of the hypothesis
33
Mixed longitudinal design
Method for assessing age related changes where a cross section of participants are observed over a shorter period