I am a Research Scholar from INDIA. Doing my research in Human Resource Management.
I am currently working on a research about the Manager's Emotional Intelligence influences the Service employee's performance. Where;
Manager's Emotional Intelligence (MEI) - 1 Dependent Variable - Qualitative Interview and Quantitative Survey
The MEI is measured from:
Qualitative Interviews from Managers and Perception Based Survey from the service employees about MEI. (Data Triangulation)
Service Employee's Performance (SEP) - 7 Independent Variables - Quantitative Survey
The SEP is measured from:
7 Variables of SEP from Customers as a Quantitative Survey.
Could someone help me out?
Sample size is a problematic case facing all researchers. M A Hertzog,2008, consideration in determining sample size for pilot studies, Res. In Nursing and Health,31: 180 says that sample sizes 10 to 40 are enough, while R V Krejcie and DW Morgan, 1970 in: Educational and Psychological Measurement, 30: 607 used a formula to determine sample size. However, according to the formula the sample size of a population 1,000,000 is 384, and for population of 500 is 217!! Too large. Regards.
Since this is not a pilot study, the small numbers are not relevant.
You need to base your sample size on the minimum size of the relationship between your predictors and predicted variables that you have adequate power to detect (90% or better).
If you have a look at the RCSI sample size handbook, it gives sample sizes for studies using correlations or regression on page 51. Worst case, where the variables only share 10% of their variation (correlation 0·32), is a sample size of 99, while with a really high correlation (0·71) you could need as few as 20.
Technical Report The RCSI Sample size handbook
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