Research Methods Flashcards

1
Q

Any factor occuring in a study that makes the results uninterpretable because a variable other than the independent variable may also affect the dependent variable

A

Confound / Confounding Variable

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2
Q

Create in the controlled conditions of the laboratory aspects that are comparable to the phenomenon under study

A

Analogue models

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3
Q

In pscyhological research__typically means that the probability of obtaining the observed effect by chance is small

A

statistics significance

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4
Q

Statistical method that address not just that groups are different but also how large these differences are

A

Effect size

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5
Q

tells you how meaningful the relationship between variables or the difference between groups is. It indicates the practical significance of a research outcome.

A

Effect size ; A large effect size means that a research finding has practical significance, while a small effect size indicates limited practical applications.

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6
Q

designed for comparing two groups (effect size calculation)

A

Cohen’s d

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7
Q

the correlation coefficient, measures the extent of a linear relationship between two variables.

A

Pearson’s r

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8
Q

Pearson’s r, the closer the value is to 0,

A

the smaller the effect size

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9
Q

In Pearson’s r, A value closer to -1 or 1 indicates

A

a higher effect size

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10
Q

Pearson’s r also tells you something about the`

A

direction of the relatioship (since it is used in linear relationships)

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11
Q

In pearson’s r, A positive value (e.g., 0.7) means
A negative value (e.g., -0.7) means

A

both variables either increase or decrease together
one variable increases as the other one decreases (or vice versa).

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12
Q

Statistical relationship between 2 variables

A

Correlation

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13
Q

Systematic study of individuals under a variety of experimental conditions

A

Single-case experimental design

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14
Q

In which a researcher tries to determine whether the independent variable is responsible for changes in behavior

A

Withdrawal Design (withdrawal days - periods to withdraw meds to see if it is really the one responsible for the treatment effects)

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