SurveysSurveys for Problem SolvingSampling MethodsTwo Classes of samplesProbability SamplesNon-Probability SamplesConducting SurveysQuestion ConstructionQuestion ConstructionSurvey ErrorsTypes of Survey ErrorsClicker QuestionsSurveys Sampling Methods Question Construction Survey ErrorsChapter 2. Sample and PopulationSurveysJ.C. WangJC Wang (WMU) Chapter 2 S2160, Chapter 2 1 / 20Surveys Sampling Methods Question Construction Survey ErrorsOutline1SurveysSurveys for Problem Solving2Sampling MethodsTwo Classes of samplesProbability SamplesNon-Probability SamplesConducting Surveys3Question ConstructionQuestion Construction4Survey ErrorsTypes of Survey ErrorsClicker QuestionsJC Wang (WMU) Chapter 2 S2160, Chapter 2 2 / 20Surveys Sampling Methods Question Construction Survey ErrorsClicker Question 2.1 Pre-lectureClicker Question 2.1 Pre-lectureJC Wang (WMU) Chapter 2 S2160, Chapter 2 3 / 20Surveys Sampling Methods Question Construction Survey ErrorsGoal/Objective of Chapter 2To explain the survey of surveysJC Wang (WMU) Chapter 2 S2160, Chapter 2 4 / 20Surveys Sampling Methods Question Construction Survey ErrorsOutline1SurveysSurveys for Problem Solving2Sampling MethodsTwo Classes of samplesProbability SamplesNon-Probability SamplesConducting Surveys3Question ConstructionQuestion Construction4Survey ErrorsTypes of Survey ErrorsClicker QuestionsJC Wang (WMU) Chapter 2 S2160, Chapter 2 5 / 20Surveys Sampling Methods Question Construction Survey ErrorsProblem SolvingGot a Problem or a QuestionWhere does the Data Come FromMethods of Sample SelectionSurvey TypesSurvey ErrorsJC Wang (WMU) Chapter 2 S2160, Chapter 2 6 / 20Surveys Sampling Methods Question Construction Survey ErrorsProblem SolvingGot a Problem or a QuestionWhere does the Data Come FromMethods of Sample SelectionSurvey TypesSurvey ErrorsJC Wang (WMU) Chapter 2 S2160, Chapter 2 6 / 20Surveys Sampling Methods Question Construction Survey ErrorsProblem SolvingGot a Problem or a QuestionWhere does the Data Come FromMethods of Sample SelectionSurvey TypesSurvey ErrorsJC Wang (WMU) Chapter 2 S2160, Chapter 2 6 / 20Surveys Sampling Methods Question Construction Survey ErrorsProblem SolvingGot a Problem or a QuestionWhere does the Data Come FromMethods of Sample SelectionSurvey TypesSurvey ErrorsJC Wang (WMU) Chapter 2 S2160, Chapter 2 6 / 20Surveys Sampling Methods Question Construction Survey ErrorsProblem SolvingGot a Problem or a QuestionWhere does the Data Come FromMethods of Sample SelectionSurvey TypesSurvey ErrorsJC Wang (WMU) Chapter 2 S2160, Chapter 2 6 / 20Surveys Sampling Methods Question Construction Survey ErrorsProtocol DesignDesign study or protocolCollect dataAnalyze dataDraw conclusionJC Wang (WMU) Chapter 2 S2160, Chapter 2 7 / 20Surveys Sampling Methods Question Construction Survey ErrorsProtocol DesignDesign study or protocolCollect dataAnalyze dataDraw conclusionJC Wang (WMU) Chapter 2 S2160, Chapter 2 7 / 20Surveys Sampling Methods Question Construction Survey ErrorsProtocol DesignDesign study or protocolCollect dataAnalyze dataDraw conclusionJC Wang (WMU) Chapter 2 S2160, Chapter 2 7 / 20Surveys Sampling Methods Question Construction Survey ErrorsProtocol DesignDesign study or protocolCollect dataAnalyze dataDraw conclusionJC Wang (WMU) Chapter 2 S2160, Chapter 2 7 / 20Surveys Sampling Methods Question Construction Survey ErrorsProtocol DesignDesign study or protocolCollect dataAnalyze dataDraw conclusionJC Wang (WMU) Chapter 2 S2160, Chapter 2 7 / 20Surveys Sampling Methods Question Construction Survey ErrorsSample Surveys1Observational, researcher manipulates nothing but looks forcorrelations2Experimental, researcher applies statistical methods looking forcausation.3Determine target population.4The data source is called frames.5Decide randomization scheme.JC Wang (WMU) Chapter 2 S2160, Chapter 2 8 / 20Surveys Sampling Methods Question Construction Survey ErrorsSample Surveys1Observational, researcher manipulates nothing but looks forcorrelations2Experimental, researcher applies statistical methods looking forcausation.3Determine target population.4The data source is called frames.5Decide randomization scheme.JC Wang (WMU) Chapter 2 S2160, Chapter 2 8 / 20Surveys Sampling Methods Question Construction Survey ErrorsSample Surveys1Observational, researcher manipulates nothing but looks forcorrelations2Experimental, researcher applies statistical methods looking forcausation.3Determine target population.4The data source is called frames.5Decide randomization scheme.JC Wang (WMU) Chapter 2 S2160, Chapter 2 8 / 20Surveys Sampling Methods Question Construction Survey ErrorsOutline1SurveysSurveys for Problem Solving2Sampling MethodsTwo Classes of samplesProbability SamplesNon-Probability SamplesConducting Surveys3Question ConstructionQuestion Construction4Survey ErrorsTypes of Survey ErrorsClicker QuestionsJC Wang (WMU) Chapter 2 S2160, Chapter 2 9 / 20Surveys Sampling Methods Question Construction Survey ErrorsTwo Classes of samples1Probability Samples — subjects are chosen by chance2Non-probability SamplesA census of the population differs than above in that all items in thepopulation are inspected. It is expensive, complex, andtime-consumingJC Wang (WMU) Chapter 2 S2160, Chapter 2 10 / 20Surveys Sampling Methods Question Construction Survey ErrorsTwo Classes of samples1Probability Samples — subjects are chosen by chance2Non-probability SamplesA census of the population differs than above in that all items in thepopulation are inspected. It is expensive, complex, andtime-consumingJC Wang (WMU) Chapter 2 S2160, Chapter 2 10 / 20Surveys Sampling Methods Question Construction Survey ErrorsProbability SamplesSimple Random Sampling (SRS): subjects (or widgets) arerandomly selected from entire populationK-in-1 Systematic: every kthsubject is chosenStratified: population divided into subgroups (management andskilled labor) and then SRS from each groupCluster: population divided into subgroups, and some subgroupsare randomly selectedJC Wang (WMU) Chapter 2 S2160, Chapter 2 11 / 20Surveys Sampling Methods Question Construction Survey ErrorsProbability SamplesSimple Random Sampling (SRS): subjects (or widgets) arerandomly selected from entire populationK-in-1 Systematic: every kthsubject is chosenStratified: population divided into subgroups (management andskilled labor) and then SRS from each groupCluster: population divided into subgroups, and some subgroupsare randomly selectedJC Wang (WMU) Chapter 2 S2160, Chapter 2