problem 1: describe the various data sources, describing their usefulness and drawbacks.
problem 2: As a manager, you have invited a research team to come in study and offer proposals on how to enhance the performance of your staff. What steps would you take to allay their apprehensions even before the research group sets foot in your department?
problem 3: What do you mean by bias and how can it be decreased throughout interviews?
problem 4: Describe the principles of wording, stating how these are significant in problemnaire design, citing illustrations not in the book.
problem 5: What are projective methods and how can they be profitably employed?
problem 6: How are multiple techniques of data collection and from multiple sources associated to the reliability and validity of the measures?
problem 7: Every data collection process has its own built-in-biases. Thus, resorting to multi methods of data collection is only going to compound the biases. How would you evaluate this statement?
problem 8: One way to deal with the discrepancies found in data obtained from multiple sources is to average the figures and take the mean as the value of the variable. describe your reaction to this?