Correlational Research Flashcards

1
Q

Correlational Research

A

Research that identifies and describes the relationship (association) between two or more measured variables.

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2
Q

Association Claim

A

Describes the relationship found between two measured variables.

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3
Q

Bivariate Correlation

A

An association that involves exactly two variables.

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4
Q

What are the 3 results of association claims?

A
  • Positive
    -Negative
    -Zero
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5
Q

Positive Association

A

As one variable increases, the other increases too.

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6
Q

Negative Association

A

As one variables increase, the other decreases.

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7
Q

Zero Association

A

No consistent relationship between the two variables.

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8
Q

What do you do if there are more than two associations in a study?

A

Look at different pairs separately to examine relationships.

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9
Q

How can an association between two variables be measured?

A

Using scatter plots and correlation r

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10
Q

What are the two qualities of r?

A

Direction and strength

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11
Q

Direction of r

A

Whether the association is positive, negative, or zero.

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12
Q

Strength of r

A

How closely related the two variables are

The stronger the relation, the closer the r value is to –1 or 1.

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13
Q

What are Categorial Variables best represented by?

A

Bar graphs

  • Each person is not represented by one data point, instead the graph shows the mean (average)
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14
Q

What indicates an association in bar graphs?

A

The difference between the two variable means.

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15
Q

How are quantitative variables best represented?

A

Scatter plots

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16
Q

What does the study become when one variable is manipulated?

A

Experiment

17
Q

What are the two most important validities in association claims?

A

Construct and statitical

18
Q

Construct Validity

A

Analyze how well each of the two variables were measured.

19
Q

What two questions examine construct validity?

A
  • Does the measure have good reliability?
  • Is the study measuring what it intended to measure?
20
Q

Statistical Validity

A

Ask what factors might have affected the scatterplot, correlation coefficient r, bar graph, or difference score that led to the association claim.

21
Q

What needs to be considered when analyzing statistical validity?

A

Strength/precision of point estimate

If the study was replicated

If there are any outliers

If range restriction occurred

22
Q

Effect Size

A

Strength between two or more variables.

23
Q

What value indicates strong correlation relationship?

A

Close to -1 or 1

24
Q

When can you determine a study’s results is statistically significant?

A

When the p value is less than 0.05 and when the CI does not contain 0

25
What are the 3 criteria for establishing causation?
1. Covariance 2. Temporal Precedence 3. Internal Validity/third variable
26
Covariance of cause and effect
As the percentage of one variable goes up, so does the percentage of the other.
27
Temporal Precedence
Two variables were being measured at the same time, so it cannot be determined which variable came first and influenced the other.
28
Internal Validity
The association between two variables can be attributed to a third variable connecting to both variables.
29
What must happen for a third variable to be plausible?
It must correlate logically with both variables in the original association. - explain cause and effect between both variables separately
30
External validity
Ask whether the association can generalize to other people, places, and times.
31
What can happen if random sampling was used?
The association can be generalized to the population of interest
32
Moderators
A variable that changes the relationship strength between two variables.
33
What is the moderator in this example: Study of teenagers found a relationship between compulsive texting and school grades. The relationship was found among girls but not boys
Gender - creates a relationship for girls but not boys
34
What can moderators inform?
External Validity