RM3 Correlation and partial correlations

Beschreibung

Psychology Quiz am RM3 Correlation and partial correlations, erstellt von Sinead Sherman am 17/01/2019.
Sinead Sherman
Quiz von Sinead Sherman, aktualisiert more than 1 year ago
Sinead Sherman
Erstellt von Sinead Sherman vor mehr als 5 Jahre
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Zusammenfassung der Ressource

Frage 1

Frage
This Figure shows a scatter plot of the relationship between scores on a reading test and scores on a writing test. Based on what you can see from the plot there is:
Antworten
  • A negative relationship between writing and reading scores.
  • A positive relationship between writing and reading scores.
  • No relationship between writing and reading scores.
  • A weak relationship between writing and reading scores.

Frage 2

Frage
A researcher explores the relationship between a measure of vanity and the number of selfies posted on-line in a month. The data showed that r = .50. We can therefore determine that Vanity accounted for what percentage of variance in number of selfies posted on-line in a month?
Antworten
  • 25%
  • 50%
  • 0.5%
  • 5%

Frage 3

Frage
The process to rule out the influence of one or more additional variables on the relationship between the X and the Y variable is:
Antworten
  • regression
  • Yate's correction
  • partial correlation
  • bi-variate correlation

Frage 4

Frage
When interpreting a correlation analysis, it is important to look at which of the following features?
Antworten
  • The strength of relationship
  • The direction of relationship
  • The statistical significance of relationship
  • All of the above

Frage 5

Frage
Which of the following does a scatterplot show?
Antworten
  • The mean value associated with two variables.
  • The proportion of data falling into one of two categories.
  • The frequency with which values appear in the data.
  • Scores on one variable plotted against scores on a second variable.

Frage 6

Frage
What does the calculation of Covariance tell us?
Antworten
  • Whether the scores we have on variables X and Y are normally distributed.
  • The extent to which variability on one variable is associated with a predictable change in another variable before standardisation.
  • The extent to which variability on one variable is associated with a predictable change in another variable after standardisation.
  • The percentage of explained variance between the two variables of interest.

Frage 7

Frage
The table below shows us the zero order correlations and the partial correlations between a measure of quality of life after undergoing cosmetic surgery and participants self-reported level of depression , whilst controlling for a measure of quality of life BEFORE undergoing cosmetic surgery. Which of the following is correct.
Antworten
  • The proportion of variance explained is reduced once we control for the variability of our measure of quality of life BEFORE undergoing cosmetic surgery.
  • The proportion of variance explained increases once we control for the variability of our measure of quality of life BEFORE undergoing cosmetic surgery.
  • Controlling for the variability of our measure of quality of life BEFORE undergoing cosmetic surgery has no effect on the proportion of variance explained.
  • None of the other options are correct

Frage 8

Frage
Which of the following is the best description of the difference between a positive and a negative correlation?
Antworten
  • A positive correlation shows that changes on X and Y variables are going in the same direction, whilst a negative correlation is showing us that changes on our X and Y variables are going in different directions.
  • A positive correlation shows that changes on X and Y variables are going in the same direction, whilst a negative correlation is showing us that there is no variability on our X and Y variables.
  • We get negative correlations when we control for the influence of a third variable, and the third variable shares a lot of the variance.
  • A negative correlation is a weak one, whilst a positive correlation is a strong one.

Frage 9

Frage
Which of the following statements is NOT true:
Antworten
  • The coefficient of determination is calculated by taking our equation for covariance and dividing by the Mean Score of the two variables of interest
  • The coefficient of determination gives us a value relating to covariance that is in standardised units.
  • The coefficient of determination is calculated by taking our equation for covariance and dividing by the Standard Deviation of the two variables of interest
  • The correlation coefficient gives us a measure of the degree to which the two variables of interest vary together, in unstandardized units of measurement.
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