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Survey Methods will provide the participant with the knowledge and skills necessary to effectively and efficiently design and deploy quantitative surveys, as well as how to analyze the resulting data, draw conclusions, and report findings. Specifically, statistical survey methods are used to collect numerical information about peoples opinions or otherwise assemble certain pieces of factual information (in quantitative form). But regardless of intent, all surveys involve administering questions to individuals. Examples of this are clearly seen in customer satisfaction surveys, employee morale studies, and so on.
However, it should be noted that the success of a statistically based survey is highly dependent upon several key factors such as the overall research design, the extent of question validity and reliability, the determination of an appropriate sample size and the application of appropriate data analysis and presentation tools. Of course, each of these critical elements are synergistically interrelated. If their intents and purposes are fully satisfied, the resulting survey will likely be successful; otherwise, the outcome can easily be perceived to lack integrity and credibility. Thus, this topic represents an essential source of knowledge for anyone involved with survey activities that are dependent upon the statistical analysis of frequencies and proportions, such as customer satisfaction surveys.
Reinforcement of major concepts, techniques, and application is realized through exercises, scenarios, and case studies. The following prerequisite topics are listed in sequential learning order: Basic Statistics, Hypothesis Testing and Chi-Square Methods. Total instructional time for this topic is 2 hours and 42 minutes.
- Research Design - Explain how the idea of research design fit with the idea of problem Solving
- Information Sources - Explain how the idea of research design fit with the idea of problem Solving
- Questionnaire Construction - Describe the role of survey demographics when analyzing closed-form survey data
- Formulating Questions - Identify several things that should be avoided when developing survey questions
- Question Quality - Explain what is meant by the term "question quality" and how this idea relates to data analysis
- Sampling Plans - Describe several different types of sampling plans commonly used in survey research
- Data Analysis - Explain how categorical survey data can be analyzed to establish strength of association