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A Presentation on... Data Gathering By Gwen Elliott.

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1 A Presentation on... Data Gathering By Gwen Elliott

2 Methods for Gathering Data Observation Questionnaires Interviews Secondary Data

3 Types of Observations Structured  Uses procedures to direct the observer as to what type of behavior he or she should be observing Semi-structured  Observation is only minimally structured; recording is specified Unstructured  No specific directions as to what should be observed or what should be recorded

4 Observations Advantages:  Collects data on behavior, rather than reports of behavior  Real-time, not retrospective Potential Problems:  Interpretation and coding problems  Observer bias/reliability  Costly

5 Developing the Questionnaire Consultants solicit questions from group members. The CEO and consultants select scales designed to measure various aspects of organizational life. The consultants develop a draft. The CEO and the group members review the draft and make suggestions for changes.

6 Developing the Questionnaire Changes are made and circulated to the group. The process continues as many times as necessary. The final draft is printed and prepared for distribution. A time is identified to administer questionnaire to the group.

7 Types of Questionnaires Closed-ended questions  Offer respondents a number of alternative replies  Subjects must choose the one that most closely approximates the right answer Advantages:  easy to administer & analyze  more efficient (can be completed more quickly) Disadvantages:  difficult to construct  sometimes considered superficial

8 Types of Questionnaires Open-ended questions  Questions that are answered in the respondent’s own words Advantages  May produce information which has not been addressed in closed-ended questions Disadvantages  Hard to analyze  Time-consuming to complete

9 Questionnaires Advantages  Responses can be quantified and easily summarized  Easy to use with large samples  Relatively inexpensive  Can obtain a large volume of data Potential Problems  Predetermined questions may miss issues  Data may be over-interpreted  Response bias

10 Types of Interviews Unstructured  Interviewer provides very little guidance in terms of questions or answers Structured, open-ended  The interviewer has predetermined questions covering certain topics, but the respondent may answer any way he/she chooses Structured, fixed-response  The interviewer provides questions and a choice of answers.

11 Interviews Advantages  Adaptive  allows data collection on a range of possible subjects  Source of “rich” data  The process can build rapport

12 Interviews Potential Problems  Can be expensive (timely)  Interviewer can bias responses  Self-report bias  Coding/interpretation problems

13 Types of Secondary Data Vary from organization to organization Examples  Information collected for legal purposes  absenteeism, lateness, turnover, accidents, grievances, etc.  Data collected about employee performance  productivity, repairs, costs, complaints, etc.  Correspondence files  may give information about number of meetings, the nature of contacts between people, etc.

14 Secondary Data Advantages  Relatively nonreactive to collect.  Little chance for bias  Have extremely high face validity Disadvantages  Access or retrieval is frequently a problem, as many organizations do not keep such records  The data frequently bears little relation to reality.  May pose problems of interpretation.

15 A Presentation on... Data Gathering By Gwen Elliott


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