PPT-Controlling Privacy Loss in Survey Sampling

Mark Bun Boston University Jörg Drechsler IAB Marco Gaboardi Boston University Audra McMillan Apple Jayshree Sarathy Harvard University Outline Background Cluster sampling. Module 8 Survey sample builder. Learning objectives. Slide. . 2. By the end of this module, you should understand:. how to use the survey sample builder to:. determine the survey design. select random clusters and children or households. Basic Terms. Research units – subjects, participants. Population of . interest (all humans?). Accessible . population – those you can actually try to sample. Intended . sample – those you select for participation. Population = group of people you need to know information about. Census = information obtained from every person in population. Sample = small group from within the population. Sample survey = investigation done using a sample. Dru. Rose . Methods of Data Collection. Surveys . and Polls. Experimental. Studies. Observational. Studies. Dru. Rose . Polls and Surveys. Poll. Few questions. Multi-choice type only. Survey. Many questions. It is important that the sample selected be representative of the population from which it is taken so that inferences about the population are the best that they can be.. Probability Sampling Methods. Merits, Design, and Implementation. Mansour Fahimi, Ph.D.. VP, Statistical Research Services. National Conference on Health Statistics. National Center for Health Statistics (NCHS) . August 16 - 18, 2010. 1. Sampling Errors . arise due . to:. . POPULATION SPECIFICATION ERROR—when the researcher does not understand who (s)he should survey. For e.g. in a survey about breakfast cereal consumption - who should be surveyed? The mother makes the purchase decision, but the children influence her choice.. - Einführung -. BA-Modul: . Controlling . of. Business Development (CBD) (5 ECTS). (International . Accounting. . and. Controlling . I (IAC I)). Sommersemester . 2012. Prof. Dr. Thomas M. Fischer. By:. Pulakesh. . Maiti. Indian Statistical Institute. Summary.. While statistics have been collected and used in this subcontinent from antiquity, much changes in collection and use took place during the British Period (1757 – 1947) in Indian History. Chapter 5.5 – 5.8. Non-. Probabilistic. Sampling. In HCI . research. , . population. . estimates. . are. . often. not . the. goal.. Users . are. . often. . recruited. in non-. probabilistic. Observational Research. Naturalistic observation. Describing behaviors in natural settings. Observer is unobtrusive, or. Habituation assumed. e.g., with animal observations (Goodall example). Examples:. Merits, Design, and Implementation. Mansour Fahimi, Ph.D.. VP, Statistical Research Services. National Conference on Health Statistics. National Center for Health Statistics (NCHS) . August 16 - 18, 2010. Sampling, Questions, Methods, and Dissemination of Findings. Agenda. 1. Introduction. 2. Introduction to Survey Sampling. 3. Questionnaire Design. 4. Methods Overview. 5. Best Practices for Public Dissemination of Findings. A population is the group that is being studied by the researchA sample is any subset of the populationExample A principal gives the students in her school a survey to fill out The entire school is th