Share
Explore BrainMass

Research design: Correlation

What are the variables in this study? What are some extraneous variables that might impact this research? How would we control for those extraneous variables?

What research design would we use to study this hypothesis? Why? What data collection techniques would we use to study this hypothesis? Why?

Assuming that we get a correlation of r=-.60, what does this tell us about the strength and direction of the correlation between satisfaction and calling in sick to work?

What are some potential problems we might encounter, and what strategies would we use to minimize these?

Solution Preview

Hi,

1. Your variables are a) employee satisfaction and b) employee calling in sick to work. These could be measured in a variety of different ways, but it's likely that you will measure satisfaction on some Likert-type scale (e.g. Rate your job satisfaction: Very high, high, moderate, low, very low) and calling off on a continuous scale as simply a count of the number of days/year or month that people call off.

2. Here are a few ideas on extraneous variables (factors that make it look like our two variables are related when they're actually not):
- It's possible that people who call in sick a lot have many stressors in their lives. This relationship could cause them to
commonly need to call in sick to work and to be generally unsatisifed with their lives, including work. In this case, if you
removed the stressors, you might find that the relationship between job satisfaction and calling in sick disappears.
- Age of respondents/level of experience could be an extraneous variable. Perhaps people who are young or just starting
into the workforce in an entry level ...

Solution Summary

Explains the approach that would be taken to investigate a relationship between calling in sick to work and job satisfaction. Includes an interpretation of a possible statistical outcome.

$2.19