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Research Methods #2
| Question | Answer |
|---|---|
| What is research proposal | the broader plan & justification of the entire research project |
| What is research design | how will the study be carried out |
| What are 3 Research purposes | 1, Descriptive = Describe 2, Exloratory = Discover 3,Causal = Explain cause-effect |
| What are 2 Data Supply | 1, Internal / In-house Research = researching for yourself 2,External = getting outside organization to conduct research |
| What are 3 Research Setting | 1, Field Research= Real-world setting 2,Desk Research = collecting already existing data 3,Laboratory research = Controlled environment |
| What is in sample 1, element 2,subject 3,sampling unit | 1, element = single member of population 2,subject = single member of the sample 3,sampling unit = "who" or "what" is available for selection during sampling |
| What are 4 types of probability sampling | 1, Simple random sampling 2, Systematic random sampling 3, Stratified sampling 4,Cluster sampling |
| What are 4 types of non-probability sampling | 1, Convenience sampling 2,Purposive sampling 3, Quota sampling 4,Snowball sampling |
| What are 3 main differences between probability & non-probability sampling | 1, probability sampling have known change of selection 2, non-probability is based partly on judgment/accessibility 3, probability have stronger basic for generalization |
| What is advantage and disadvantage of Purposive Sampling | Advantage = if research is right he may reach particulatly informative cases Disadvantage = selection of respondent may be biased |
| What is difference between simple random sampling and systematic random sampling | Simple random sampling = "purest" form of probability sampling Systematic random sampling = selecting elements at regular intervals |
| What is difference between Stratified & Cluster Sampling | Stratified sampling = divide into groups >> sample from every group Cluster sampling = divide into groups >> randomly select some groups |
| How large should be a qualitative sample | until we reach data saturation |
| What are 4 rules of thumb for sample size | General 30<n<500 30 x Nr. of subcategories 10 x Nr. of Variables 20x Conditions of Experiments |
| What is Non-coverage Error | if we fail to include part of the target population |
| What is Non-Response Error | the people selected for the sample fail to respond & potentially creating bias |
| What is measurement | represent a phenomenon systematically with number or other symbols |
| What are two types of measurements | 1, direct observable = we count them directly 2,Indirect observable = you obtain a report or representation of it |
| What is conceptual and operational definition of a construct | Conceptual = What does this construct mean? Operational = How exactly will I measure it? |
| What is Operationalization | process of converting an abstract construct into measurable indicators |