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Lesson 1-2 Introduction & Data Collection

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Term
Definition
The plan making process includes   Goals and visions; Analysis of current problems; and Creation and evaluation of alternatives.  
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Survey   A research method that allows one to collect data on a topic that cannot be directly observed, such as opinions on downtown retailing opportunities.  
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Cross-sectional Survey   Gathers information about a population at a single point in time  
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Primary Data   Data that is created; survey, observations or other methods  
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Secondary Data   Existing data (e.g. US Census)  
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Longitudinal surveys   Involves repeated observations of the same variables over a long period of time  
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Written Surveys   Obtain information from a broad audience; can be used in newspaper, mailed or administered in a group  
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Pros of Written Survey   Low cost  
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Cons of Written Survey   Low response rate, 20% May not be appropriate for seniors, non-English speaking or illiterate  
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Group-administered Surveys   Appropriate when there is a specific population that a planner is trying to target.  
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Pros/Cons of Group-Administered Surveys   High and quick response rate Difficult administering survey Small sample size  
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Drop-off Survey   Allows the survey to be dropped off at someone's residence of business  
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Pros/Cons of Drop-Off Survey   Higher response rate than mail survey Expensive  
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Oral Surveys   Administered on the phone or in person  
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Pros of a Phone Survey   Useful for yes/no answers Interviewer to follow up and gain further explanation on answers Response rate varies  
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Cons of Phone Survey   Expensive Interviewer can be biased Long or multiple answered questions are difficult to administer  
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Online Surveys   Can be administered over website, email or text  
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Pros of an Online Survey   Higher response rate Inexpensive  
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Cons of Online Survey   Will not be able to reach those without internet access  
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Sampling   A statistical procedure that is concerned with the selection of the individual observation; accurate representation of a population  
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Convenience Sampling   Uses individuals that are readily available  
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Volunteer Sample   Made up of people who are self-selection  
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Random Sampling   Everyone has a chance of being selected to participate  
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Stratified Sampling   Divides the population into groups, known as classes, from which a sample is drawn  
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