Mapa mental
Sampling Method
Conteúdo do mapa
Sampling Method
1.Research Objectives
- Exploratory research >Aims to clarify ambiguous situations/discover new ideas
- Descriptive Research > aims to be able to illustrate the characteristics of the target of study.
- Causal Research > To help identify causes/relationship
- 2. Plan Research Design
- 3. Prepare Sampling Plan
- 4. Data Collection
- Data Editing > Check collection for omissions, legibility, consistency
- Data Coding > key in data into software
- 5. Data Analysis
- 6. Conclusion and Reporting
- 4. Data Collection
- Survey
- Research technique in which a sample is interviewed in some form of behavior of respondents is observed & described
- Survey Errors
- Leading Question >Influence respondent's choice to get the choice the survey wants
- Ambiguous Choice/Question > Too General E.g. Often, Frequent, news(didn't tell you what news or what category)
- Double-Barralled Question > One sentence ask two question
- Making Assumptions E.g Should continue their excellent service?
- Non-mutually exclusive choices E,g 1. 100-200 2. 200-300 3. 300-400
- 3. Prepare Sampling Plan
Population
- All items of interest that we are trying to draw conclusion
- Sample
- subset of population
Random Sampling Errors
- the difference between the sample result and the true value of population.
- Non-Systematic Error Cannot be Avoided
- Non-Sampling Error
- Results from non-sampling factors, primarily the nature of the study's design & the correctness of execution
- Systematic Error Avoidable
Probability Sampling
Informações
- Descrição
- Mapa Mental sobre Sampling Method, criado por Wong Wen Hui em 28-01-2016.
- Criado por
- Wong Wen Hui · jan 2016
- Atualizado
- 19 fev 2016
- Visualizações
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