9: Survey Methods and Correlational Research Flashcards

1
Q

What are some sampling issues in survey research

A

if the sample is not representative of the population then it is potentially biased

self selection bias: who chooses to partake in a survey (magazines/newspapers)

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2
Q

The difference between surveys and psychological assessment

A

in psychological assessment, the tests undergo rigorous tests of reliability and validity to accurately reflect a construct

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3
Q

What should be considered when creating an effective survey?

A

Create items that effectively answer the empirical question(s) at hand and be very careful of the structure and wording of these items

Types of survey questions or statements

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4
Q

Types of survey questions or statements

A

Open ended questions

closed ended

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5
Q

what is response acquiescence and how is it combated

A

A tendency to agree with statements
□ In surveys a way to avoid this is to have a balance of favorable and unfavourable statements

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6
Q

Describe the correlation coefficient

A

Pearson’s r

strength and direction of the correlation ranging from -1 to +1

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7
Q

Describe the coefficient of determination

A

r^2

the percent of variance in one variable that is explained by the other variable

shared variance

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8
Q

In Y=a+bX, what does each letter mean?

A

Y is the criterion variable, what is being predicted

X is the predictor variable, what is being used to make the prediction

a is the Y int

b is the slope

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9
Q

what is the regression line

A

a straight line that best summarizes a correlation

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10
Q

what do correlations help us do

A

make predictions (when the correlation is significantly greater/less than 0)

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11
Q

what are the two approaches in correlations

A

Bivariate and multivariate

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12
Q

What does the multivariate approach use

A

multiple regression:
* One criterion variable (Y)
* Several predictor variables (the Xs)
* The bs are know as “regression weights” - Reflect the relative importance of each predictor

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13
Q

what is the advantage of the multivariate approach

A

when the influences of several predictor variables are combined, prediction can improve far beyond the single regression cases.

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14
Q

Problems that we can experience with correlation

A

not causal

directionality problem

third variable problem

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15
Q

What is a partial correlation and how is it implemented

A

Attempts to control for third variables statistically, used when there is reason to suspect a third variable

Involves incorporating all correlations
- What results is a partial correlation that measures the remaining relationship between the two initial variables with the potential third partialed out or controlled

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16
Q

what are the two different types of third variables

A

Mediating variable
Explains how or why a relationship exists between two variables

Moderating variable
Explains under what conditions does the relationship between two variables exist
Not experimentally manipulated