HPS771 Research Methods in Psychology

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ASSIGNMENT 3: CORRELATION QUESTIONS

Experiment

Mindfulness programs are becoming increasingly popular in the workplace and are now commonly adopted by blue chip business such as Google. Specifically, recent evidence suggests that regular mindfulness practice can have a positive impact on employee well-being. To test this, you take a sample of 104 Google employees and ask them how many mindfulness sessions they attended in the past year. You also ask them how many sick days they took. You then run a correlation analysis to test if there is a linear association between the number of mindfulness sessions that Google employees attended in the past year and the number of sick days they took. You obtain the following output from the analysis:

Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Number of sick days 104 .00 19.00 8.4231 5.46248
Number of mindfulness sessions attended 104 .00 25.00 15.6923 6.47936
Valid N (listwise) 104
Correlations
Number of sick days Number of mindfulness sessions attended
Number of sick days Pearson Correlation 1 -.742**
Sig. (2-tailed) .000
N 104 104
Number of mindfulness sessions attended Pearson Correlation -.742** 1
Sig. (2-tailed) .000
N 104 104
**. Correlation is significant at the 0.01 level (2-tailed).

Questions

The below questions relate to the above SPSS output.

  1. Based on the scatter plot, describe the observed type, direction and strength of the relationship between the number of mindfulness sessions attended and the number of sick days taken. Justify your response. (3 Marks)
  2. With help from the unit materials, report the results of the analysis in APA format including all relevant information. (3 Marks)
  3. Assume you are an Organizational Psychologist. What would be your recommendation to Google based on the results of this study? Justify your response. (2 Marks)

The following question does not require you to use the SPSS output stated above.

  1. Dr Kumar is interested in the factors that influence an individual’s attention span. He provides a sample of 40 healthy adults with a simple attention span task that measures maximum attention span in seconds (higher scores indicate higher attention span). Dr Kumar also measures the age (in years), average number of hours slept in the previous week, and intelligence (mean 100, higher scores indicate higher intelligence) of each participant.

He then runs three correlation analyses to investigate the association between attention span and age, hours slept and intelligence and obtains the following output:

Correlations
Attention span Age in years
Attention span Pearson Correlation 1 -.533**
Sig. (2-tailed) .000
N 40 40
Age in years Pearson Correlation -.533** 1
Sig. (2-tailed) .000
N 40 40
**. Correlation is significant at the 0.01 level (2-tailed).
Correlations
Attention span Hours slept
Attention span Pearson Correlation 1 .673**
Sig. (2-tailed) .000
N 40 40
Hours slept Pearson Correlation .673** 1
Sig. (2-tailed) .000
N 40 40
**. Correlation is significant at the 0.01 level (2-tailed).
Correlations
Attention span Intelligence
Attention span Pearson Correlation 1 .394*
Sig. (2-tailed) .012
N 40 40
Intelligence Pearson Correlation .394* 1
Sig. (2-tailed) .012
N 40 40
*. Correlation is significant at the 0.05 level (2-tailed).

Based on the above output, rank the factors that are associated with attention span from most relevant to least relevant, with reference to relevant statistical information (2 Marks).

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