Chapter 7 Flashcards

1
Q

Covary

A

Things that change together

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2
Q

Correlational research

A

Determine wether variables are related to another

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3
Q

Reasons for correlational rather than experimental research?

A
  1. Ethically impossible for us to do an experimental stduy

2. Usueful in measuring many variables and assessing relationships between them

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4
Q

Correlation coefficient

A

Indicates the strength(magnitute) and direction(- of +) of the relationship between two variables

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5
Q

Pearson correlation is a valuse between ___ and ___.

A

-1 and 1

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6
Q

Positicve correlation

A

Whent he score on 1 variable goes up, the score ont he other variable goes up

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7
Q

Negative correlation

A

When the score on 1 variable goes up the other variable goes down

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8
Q

Curvilinear relationships

A

Have a corelation of zero but there is a clear disctince correlation between variables present

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9
Q

Correlation can only be used on _____

A

Linear relationships

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10
Q

Statistical significance

A

The two variables are related in some meaningful way

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11
Q

3 factors that effect statistical significance

A
  1. Sample size
  2. Magnitude of correlation
  3. Researcher “conservativness) (ie 95% CI)
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12
Q

Sample size as effecting significance

A

Larger sample size= more likely to find sig

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13
Q

Magnitute of correlation as effecting sig

A

Closer number is to 1= higher chance of sig

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14
Q

Directional hypothesis

A

Predicting direction of correlation

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15
Q

Non directional hypothesis

A

Not sure which direction but know they vary in some way

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16
Q

Factors that distort correlation coefficients

A
  1. Restricted range
  2. Outliers
  3. Reliability of measures
17
Q

Restricted range

A

Scores that come form a subset of the overal data set

18
Q

Outliers

A

Data points that are 3 of more standard deviations form the mean

19
Q

Ways to improve reliability

A
  1. Standardize the measure
  2. Clear opperational definitions
  3. Trained observers
20
Q

3 factors that must be met to determin causality

A
  1. covariation
  2. directionality
  3. Elimination of alternative explanations
21
Q

Directionality

A

-time order relationsips(ie manipulsting 1 variable caused the other to change)

22
Q

Spurious correlation

A

Correlation between 2 variables that seem to move int he smae direction but are not actually related to one another

23
Q

Partial correlation

A

Correlation between 2 variables with the influence of 1 or more other variables statistically removed