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Sampling People, Networks and Records · LearnSpace
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Sampling People, Networks and Records

Курс от University of Michigan
Начальный≈ 25.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors. Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control. It is these last kinds of samples that will be discussed in this course. We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples. The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.

Навыки, которые вы освоите

Sampling (Statistics)Network AnalysisStatistical SoftwareStatistical InferenceQuantitative ResearchSocial Network AnalysisSample Size DeterminationResearch DesignData CollectionProbability & StatisticsStatistical MethodsProbabilityStatistical AnalysisSurveys

Программа курса

6 модулей · 92 учебных материалов

01Module 1: Sampling as a research tool19 материалов

We're glad you decided to join us!

1.0 - Course IntroductionВидеоHelp us learn more about you!ЧтениеLecture notesЧтение

1.1 Ever heard of the three R's of research design?

1.1 - Research Design and Sampling - Part 1Видео

Учитесь у экспертов

James M Lepkowski

Research Professor

Sampling People, Networks and Records
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≈ 25.7 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

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1.1 - Research Design and Sampling - Part 2Видео
Lecture notes for both videosЧтение

1.2 How do surveys and sampling fit together?

1.2 - Surveys and SamplingВидеоLecture notesЧтение

1.3 What does sampling have to do with research?

1.3 - Why Sample At All? - Part 1Видео1.3 - Why Sample At All? - Part 2ВидеоLecture notes for both videosЧтение

1.4 Why randomize?

1.4 - Why Might We Randomize, and How Might We Do It?ВидеоLecture notesЧтение

1.5 What happens when we randomize?

1.5 - What Happens When We Randomize?ВидеоLecture notesЧтение

1.6 How do we evaluate how good the sample is?

1.6 - How Do We Evaluate How Good a Sample Is?ВидеоLecture notesЧтение

1.7 What kinds of things can we sample?

1.7 - What Kinds of Things Can We Sample?ВидеоLecture notesЧтение
02Mere randomization16 материалов

2.1 Simple Random Sampling

2.1 - Simple Random Sampling (SRS)ВидеоLecture notesЧтение

2.2 A short history

2.2 - Mere Randomization: A Short HistoryВидеоLecture notesЧтение

2.3 SRS sampling distributions

2.3 - The SRS Sampling Distribution - Part 1Видео2.3 - The SRS Sampling Distribution - Part 2ВидеоLecture notesЧтение

2.4 Sample size

2.4 - Sample SizeВидеоLecture notesЧтение

2.5 Margin of error

2.5 - Margin of ErrorВидеоLecture notesЧтение

2.6 Sample and population size

2.6 - Sample Size and Population SizeВидеоLecture notesЧтение

Week 2: Assessments

Notice for Auditing Learners: Assignment SubmissionЧтениеRandom Sample of FacultyВзаимная проверкаWeek 2Задание
03Saving money using cluster sampling18 материалов

3.1 Simple complex sampling -- choosing entire clusters

3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 1Видео3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 2ВидеоLecture notesЧтение

3.2 Design effects

3.2 - Design Effects and Intraclass Correlation - Part 1Видео3.2 - Design Effects and Intraclass Correlation - Part 2ВидеоLecture notesЧтение

3.3 Two-stage cluster sampling

3.3 - Two-Stage SamplingВидеоLecture notesЧтение

3.4 Designing 2-stage samples

3.4 - Designing for Two-Stage Sampling - Part 1Видео3.4 - Designing for Two-Stage Sampling - Part 2ВидеоLecture notesЧтение

3.5 Unequal sized clusters

3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 1Видео3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 2ВидеоLecture notesЧтение

3.6 Subsample size

3.6 - Sampling FractionВидеоLecture notesЧтение

Week 3: Assessments

Sampling SchoolsВзаимная проверкаWeek 3Задание
04Using auxiliary data to be more efficient13 материалов

4.1 Using auxiliary data to be more efficient

4.1 - Forming GroupsВидеоLecture notesЧтение

4.2 Sampling variances for stratified samples

4.2 - Sampling VarianceВидеоLecture notesЧтение

4.3 More on grouping

4.3 - More On GroupingВидеоLecture notesЧтение

4.4 Allocation sample to strata: proportionate allocation

4.4 - Allocate SampleВидеоLecture notesЧтение

4.5 Other allocations

4.5 - Other AllocationsВидеоLecture notesЧтение

4.6 Stratum or element weights?

4.6 - Weights to Combine Across StrataВидеоLecture notesЧтение

Week 4: Assessment

Week 4Задание
05Simplified sampling10 материалов

5.1 Systematic selection -- how it's done

5.1 - Systematic SelectionВидеоLecture notesЧтение

5.2 What happens if the “interval” is not an “interval?”

5.2 - Intervals With Fractions - Part 1Видео5.2 - Intervals With Fractions - Part 2ВидеоLecture notesЧтение

5.3 Systematic selection and implicit stratification

5.3 - List OrderВидеоLecture notesЧтение

5.4 How to estimate standard errors for systematic samples

5.4 - Uncertainty EstimationВидеоLecture notesЧтение

Week 5 Assessments

Credit Card TransactionsВзаимная проверка
06Pulling it all together16 материалов

6.1 What about using statistical software to select samples?

6.1 - Statistical Software for Sample SelectionВидеоLecture notesЧтение

6.2 Combining stratification and clusters

6.2 - Stratified Multistage SamplingВидеоLecture notesЧтение

6.3 Oversampling and weighting

6.3 - Weights for Over/Under SamplingВидеоLecture notesЧтение

6.4 Nonresponse and weighting

6.4 - Nonresponse & Noncoverage WeightingВидеоLecture notesЧтение

6.5 Network sampling

6.5 - Sampling Networks: Multiplicity WeightingВидеоLecture notesЧтение

6.6 Non-probability sampling

6.6 - Non-Probability SamplingВидеоLecture notesЧтениеAnnotated Bibliography of a Few Sampling BooksЧтение

Week 6 Assessment

Week 6 - Final QuizЗаданиеPost-course SurveyЧтениеKeep Learning with Michigan OnlineЧтение