There are four reasons for using a survey methodology in applied research
1. Establish the prevalence of a construct in a given population
2. Compare "known-groups" in a given population on a construct
3. Validation of a construct within a nomological or theoretical framework
4. Measuring for the change in a construct over time in a given population
Survey methodology and data collection
1. An observational survey methodology entails one-on-one or group observations with participants from the population of interest in the actual environment that the construct is theorized to exist. This type of data collection method can yield thick and rich data related to phenomena and existential experiences. However, it can be extremely time-intensive and data analysis requires rigorous and thorough methods put forth by researchers in an objective and credible fashion.
Because of the varying methods and existential phenomenological understanding of constructs in different populations, no specific method of data collection can be applied to understanding all constructs. Phenomenological, ground theory, ethnography, narrative, and case study designs are often employed in qualitative studies to understand constructs and how they are experienced by members of the population.
2. A self-report survey methodology is utilized for collecting population data related to a construct of interest. Sample participants quantify their personal feelings, thoughts, or behaviors related to constructs.
The Surveys engine will focus specifically on designing surveys using this type of survey methodology.
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- Statistical Analysis
- Research Design
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- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics
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