Sampling. I Oct 2008
|
|
- Delilah Lindsey
- 6 years ago
- Views:
Transcription
1 Sampling I Oct 2008
2 Why the need to understand sampling? To be able to read and use intelligently information collected by others: Marketing research Large surveys, like the Pew Internet and American Life Project, or government studies, trade groups data
3 From USA Today: Yet for all the headaches associated with cell phones, who's willing to go without? The number of wireless subscribers in the USA hit million at the end of last year, up from million the year before, according to CTIA, the wireless trade association.
4
5 Why the need for UX researcheers to understand sampling? To be able to read and use intelligently information collected by others: Marketing research Large surveys, like the Pew Internet and American Life Project, government studies, trade groups data To understand the limits of even data collected using good sampling methods To understand: How we may try to approximate good sampling The further limits of our studies and data
6 Sampling in usability: when do we sample?
7 Sampling in usability: when do we sample? When we can t observe, measure everything When we don t need to observe everything just some Some examples: Usability testing Interviews Observation Surveys
8 Sampling in usability: what do we sample?
9 Sampling in usability: what do we sample? People (users, potential users, members of target populations of various sorts) Events (transactions, occurrences of various activities) Things (documents, images, records)] Time periods (minutes, hours, days, weeks)
10 Representative samples Want the sample to be roughly proportional to the population in terms of groups/characteristics that matter Exception: oversampling small groups Which characteristics matter?
11 Kinds of samples Probability samples random selection Simple Random Sampling Principle: every unit has an equal chance of being sampled Stratified Random Sampling Systematic Random Sampling Cluster (Area) Random Sampling Multi-Stage Sampling Non-probability not random selection Quota samples Convenience samples Purposive samples Snowballing
12 Kinds of samples public opinion polls Probability samples random selection Simple Random Sampling Principle: every unit has an equal chance of being sampled Stratified Random Sampling Systematic Random Sampling Cluster (Area) Random Sampling Multi-Stage Sampling Non-probability not random selection Quota samples Convenience samples Purposive samples Snowballing
13 Kinds of samples user experience research Probability samples random selection Simple Random Sampling Principle: every unit has an equal chance of being sampled Stratified Random Sampling Systematic Random Sampling Cluster (Area) Random Sampling Multi-Stage Sampling Non-probability not random selection Quota samples Convenience samples Purposive samples Snowballing
14 Sampling terminology Unit of analysis: the unit about which info is collected; E.g., people in the US; transactions Sampling unit: the unit selected as part of the sample, from which information is collected, e.g. households. Respondent or reporting unit: unit (person, organization) providing the information, e.g., any household member 14 or older who answers the phone. Sampling frame: a list of sampling units from which a sample may be drawn, e.g. a list of all households... Survey or study population: aggregate of elements from which the sample is actually selected. Households in US etc. with phones (if a telephone survey)... on October 10, Population: theoretically specified aggregation of survey elements; The complete group of units to which survey results are to apply. I.e., all US residents (legal and otherwise, temporary and permanent) in the US over age x.
15 Sampling terminology Unit of analysis: the unit about which info is collected person who is likely to vote in November election Registered voter; self-reported plan to vote; voted in last election Sampling unit: the unit selected as part of the sample, from which information is collected: registered voters; households. Respondent or reporting unit: unit (person, organization) providing the information; the voter; any household member 14 or older who answers the phone. Sampling frame: a list of sampling units from which sample drawn: list of registered voters with phone #s; list of phone #s Survey or study population: aggregate of elements from which the sample is actually selected: registered voters as of X date for Y area with listed phone #s; random digit dialing Population: theoretically specified aggregation of survey elements; The complete group of units to which survey results are to apply: voters in November election
16 Operationalizing the sampling methods What info do you need? What info can you get and how? From whom can you get the information you need? Non-users are hard to reach Who will answer the phone? Can t ask 10-year-olds what their parents know; whom can you ask about others? Who/what can you reach? Likely voters reachable by phone Website users who agree to a short survey Do you have a sampling frame? Households vs individuals; listed phone #s Registered users
17 CNN/Opinion Research Corporation Poll. Oct. 15, 2008 N=620 adults nationwide who watched the presidential debate. Survey respondents were first interviewed as part of a random national sample on October 13-14, 2008 respondents indicated they planned to watch tonight's debate and were willing to be re-interviewed after the debate. Some questions were asked of each respondent both in the pre-debate questionnaire on October and on tonight's questionnaire. 30% of the respondents who participated in tonight's survey identified themselves as Republicans, 40% identified themselves as Democrats, and 29% identified themselves as independents."
18 Sample Size Statistically valid sample: Formulas for sample sizes are based on probability samples from very large populations Size depends on expected results and desired methods of analysis, incl breakdown x groups Guiding principle: how large an error (how imprecise an estimate) can you live with? More likely in usability: Convenience sample: As many as possible (over a limited period of time) As varied as possible Representation from desired groups Keep going till things don t change But need to understand how this may affect your results
19 Sample size 95% C. I. = M ± (1.96 * SE) SE = SD / n where SD is the standard deviation of our sample and n is the number of cases. That is, the standard error is estimated by the dividing the obtained standard deviation by the square root of the number of cases. The standard error becomes smaller as the size of the sample increases. As we increase our sample size the standard error and hence the confidence interval becomes smaller. In other words, we can detect smaller differences between means if we have larger sample sizes. We can increase the power to detect any difference by increasing the sample size.
20 CNN/Opinion Research Corporation Poll. Oct. 15, N=620 MoE ± 4. "Regardless of which candidate you happen to support, who do you think did the best job in the debate: Barack Obama or John McCain?" Obama McCain Neither Both Unsure 58% 31% 2% 8% 1% 58±4 31± McCain Obama
21 But what if.. N=620 MoE ± 4. "Regardless of which candidate you happen to support, who do you think did the best job in the debate: Barack Obama or John McCain? Obama 53% 47% McCain 53±4 47± McCain Obama
22 Los Angeles Times/Bloomberg Poll. Oct , N=1,446 registered voters nationwide. MoE ± 3 (for all registered voters).
23
24 Needs, usability, and sampling Requirements specification Convenience sample of current users Purposive sample of employees, users Quota sample E.g., x from each location, department Prototype evaluation Questionnaire as a way of getting consistent data from test population probably in entirety; but could be any of the above User feedback User surveys; comments solicitations
Objectives. Module 6: Sampling
Module 6: Sampling 2007. The World Bank Group. All rights reserved. Objectives This session will address - why we use sampling - how sampling can create efficiencies for data collection - sampling techniques,
More informationUnit 8: Sample Surveys
Unit 8: Sample Surveys Marius Ionescu 10/27/2011 Marius Ionescu () Unit 8: Sample Surveys 10/27/2011 1 / 13 Chapter 19: Surveys Why take a survey? Marius Ionescu () Unit 8: Sample Surveys 10/27/2011 2
More informationClass 10: Sampling and Surveys (Text: Section 3.2)
Class 10: Sampling and Surveys (Text: Section 3.2) Populations and Samples If we talk to everyone in a population, we have taken a census. But this is often impractical, so we take a sample instead. We
More informationMAT 1272 STATISTICS LESSON STATISTICS AND TYPES OF STATISTICS
MAT 1272 STATISTICS LESSON 1 1.1 STATISTICS AND TYPES OF STATISTICS WHAT IS STATISTICS? STATISTICS STATISTICS IS THE SCIENCE OF COLLECTING, ANALYZING, PRESENTING, AND INTERPRETING DATA, AS WELL AS OF MAKING
More informationPolls, such as this last example are known as sample surveys.
Chapter 12 Notes (Sample Surveys) In everything we have done thusfar, the data were given, and the subsequent analysis was exploratory in nature. This type of statistical analysis is known as exploratory
More informationChapter 12: Sampling
Chapter 12: Sampling In all of the discussions so far, the data were given. Little mention was made of how the data were collected. This and the next chapter discuss data collection techniques. These methods
More informationStat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM
Stat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM 1 Chapter 1: Introduction Three Elements of Statistical Study: Collecting Data: observational data, experimental data, survey
More informationSampling Terminology. all possible entities (known or unknown) of a group being studied. MKT 450. MARKETING TOOLS Buyer Behavior and Market Analysis
Sampling Terminology MARKETING TOOLS Buyer Behavior and Market Analysis Population all possible entities (known or unknown) of a group being studied. Sampling Procedures Census study containing data from
More informationChapter 3 Monday, May 17th
Chapter 3 Monday, May 17 th Surveys The reason we are doing surveys is because we are curious of what other people believe, or what customs other people p have etc But when we collect the data what are
More informationElements of the Sampling Problem!
Elements of the Sampling Problem! Professor Ron Fricker! Naval Postgraduate School! Monterey, California! Reading Assignment:! 2/1/13 Scheaffer, Mendenhall, Ott, & Gerow,! Chapter 2.1-2.3! 1 Goals for
More informationRECOMMENDED CITATION: Pew Research Center, March 2014, Hillary Clinton s Strengths: Record at State, Toughness, Honesty
NUMBERS, FACTS AND TRENDS SHAPING THE WORLD FOR RELEASE MARCH 4, FOR FURTHER INFORMATION ON THIS REPORT: Carroll Doherty, Director of Political Research Alec Tyson, Research Associate 202.419.4372 RECOMMENDED
More informationThese days, surveys are used everywhere and for many reasons. For example, surveys are commonly used to track the following:
The previous handout provided an overview of study designs. The two broad classifications discussed were randomized experiments and observational studies. In this handout, we will briefly introduce a specific
More informationFOX News/Mason-Dixon New York State Poll
` FOX News/Mason-Dixon New York State Poll 20 May 05 This poll was conducted by Mason-Dixon Polling & Research, Inc. A total of 900 registered New York voters were interviewed statewide by telephone from
More information7.1 Sampling Distribution of X
7.1 Sampling Distribution of X Definition 1 The population distribution is the probability distribution of the population data. Example 1 Suppose there are only five students in an advanced statistics
More informationStats: Modeling the World. Chapter 11: Sample Surveys
Stats: Modeling the World Chapter 11: Sample Surveys Sampling Methods: Sample Surveys Sample Surveys: A study that asks questions of a small group of people in the hope of learning something about the
More informationUNIT 8 SAMPLE SURVEYS
Prepared for the Course Team by W.N. Schofield CONTENTS Associated study materials 1 Introduction 2 Sampling 2.1 Defining the population to be sampled 2.2 Sampling units 2.3 The sampling frame 3 Selecting
More informationSampling Designs and Sampling Procedures
Business Research Methods 9e Zikmund Babin Carr Griffin 16 Sampling Designs and Sampling Procedures Chapter 16 Sampling Designs and Sampling Procedures 2013 Cengage Learning. All Rights Reserved. May not
More informationThe challenges of sampling in Africa
The challenges of sampling in Africa Prepared by: Dr AC Richards Ask Afrika (Pty) Ltd Head Office: +27 12 428 7400 Tele Fax: +27 12 346 5366 Mobile Phone: +27 83 293 4146 Web Portal: www.askafrika.co.za
More informationMethodology Marquette Law School Poll August 13-16, 2015
Methodology Marquette Law School Poll August 13-16, 2015 The Marquette Law School Poll was conducted August 13-16, 2015. A total of 802 registered voters were interviewed by a combination of landline and
More informationa) Getting 10 +/- 2 head in 20 tosses is the same probability as getting +/- heads in 320 tosses
Question 1 pertains to tossing a fair coin (8 pts.) Fill in the blanks with the correct numbers to make the 2 scenarios equally likely: a) Getting 10 +/- 2 head in 20 tosses is the same probability as
More informationWNBC/Marist Poll Poughkeepsie, NY Phone Fax
WNBC/Marist Poll Poughkeepsie, NY 12601 Phone 845.575.5050 Fax 845.575.5111 www.maristpoll.marist.edu Contact: NYS Poll: February 5 th Presidential Primaries FOR IMMEDIATE RELEASE: Saturday February 2,
More informationSTAT 100 Fall 2014 Midterm 1 VERSION B
STAT 100 Fall 2014 Midterm 1 VERSION B Instructor: Richard Lockhart Name Student Number Instructions: This is a closed book exam. You may use a calculator. It is a 1 hour long exam. It is out of 30 marks
More informationMethodology Marquette Law School Poll April 3-7, 2018
Methodology Marquette Law School Poll April 3-7, 2018 The Marquette Law School Poll was conducted April 3-7, 2018. A total of 800 registered voters were interviewed by a combination of landline and cell
More informationBasic Practice of Statistics 7th
Basic Practice of Statistics 7th Edition Lecture PowerPoint Slides In Chapter 8, we cover Population versus sample How to sample badly Simple random samples Inference about the population Other sampling
More informationStat Sampling. Section 1.2: Sampling. What about a census? Idea 1: Examine a part of the whole.
Section 1.2: Sampling Idea 1: Examine a part of the whole. Population Sample 1 Idea 1: Examine a part of the whole. e.g. Population Entire group of individuals that we want to make a statement about. Sample
More informationMethodology Marquette Law School Poll February 25-March 1, 2018
Methodology Marquette Law School Poll February 25-March 1, 2018 The Marquette Law School Poll was conducted February 25-March 1, 2018. A total of 800 registered voters were interviewed by a combination
More informationWNBC/Marist Poll Poughkeepsie, NY Phone Fax
WNBC/Marist Poll Poughkeepsie, NY 12601 Phone 845.575.5050 Fax 845.575.5111 www.maristpoll.marist.edu Contact: Should They Run in 2008? New Yorkers Weigh In EMBARGOED FOR RELEASE: TUESDAY 6:00 P.M. MAY
More informationPOLI 300 PROBLEM SET #2 10/04/10 SURVEY SAMPLING: ANSWERS & DISCUSSION
POLI 300 PROBLEM SET #2 10/04/10 SURVEY SAMPLING: ANSWERS & DISCUSSION Once again, the A&D answers are considerably more detailed and discursive than those you were expected to provide. This is typical
More informationSample Surveys. Chapter 11
Sample Surveys Chapter 11 Objectives Population Sample Sample survey Bias Randomization Sample size Census Parameter Statistic Simple random sample Sampling frame Stratified random sample Cluster sample
More information3. Data and sampling. Plan for today
3. Data and sampling Business Statistics Plan for today Reminders and introduction Data: qualitative and quantitative Quantitative data: discrete and continuous Qualitative data discussion Samples and
More informationIntroduction INTRODUCTION TO SURVEY SAMPLING. General information. Why sample instead of taking a census? Probability vs. non-probability.
Introduction Census: Gathering information about every individual in a population Sample: Selection of a small subset of a population Census INTRODUCTION TO SURVEY SAMPLING Sample February 14, 2018 Linda
More informationAP Statistics S A M P L I N G C H A P 11
AP Statistics 1 S A M P L I N G C H A P 11 The idea that the examination of a relatively small number of randomly selected individuals can furnish dependable information about the characteristics of a
More informationTHE AP-GfK POLL August, 2012
THE AP-GfK POLL August, 2012 Conducted by GfK Roper Public Affairs & Corporate Communications A telephone survey of the American general population (ages 18+) Interview dates: August 16 20, 2012 Number
More informationIntroduction INTRODUCTION TO SURVEY SAMPLING. Why sample instead of taking a census? General information. Probability vs. non-probability.
Introduction Census: Gathering information about every individual in a population Sample: Selection of a small subset of a population INTRODUCTION TO SURVEY SAMPLING October 28, 2015 Karen Foote Retzer
More informationChapter 20. Inference about a Population Proportion. BPS - 5th Ed. Chapter 19 1
Chapter 20 Inference about a Population Proportion BPS - 5th Ed. Chapter 19 1 Proportions The proportion of a population that has some outcome ( success ) is p. The proportion of successes in a sample
More informationMarist College Institute for Public Opinion Poughkeepsie, NY Phone Fax
Marist College Institute for Public Opinion Poughkeepsie, NY 12601 Phone 845.575.5050 Fax 845.575.5111 www.maristpoll.marist.edu NY1/YNN-Marist Poll Cuomo Keeping Campaign Promises Approval Rating Grows
More informationChapter 4: Sampling Design 1
1 An introduction to sampling terminology for survey managers The following paragraphs provide brief explanations of technical terms used in sampling that a survey manager should be aware of. They can
More informationSpitzer Support Slides; Still Strong
SIENA RESEARCH INSTITUTE SIENA COLLEGE, LOUDONVILLE, NY www.siena.edu/sri For Immediate Release: Monday, March 26, 2007 Contact: Steven Greenberg at 518-469-9858 Siena New York Poll: Spitzer Support Slides;
More informationMethodology Marquette Law School Poll June 22-25, 2017
Methodology Marquette Law School Poll June 22-25, 2017 The Marquette Law School Poll was conducted June 22-25, 2017. A total of 800 registered voters were interviewed by a combination of landline and cell
More informationPUBLIC EXPENDITURE TRACKING SURVEYS. Sampling. Dr Khangelani Zuma, PhD
PUBLIC EXPENDITURE TRACKING SURVEYS Sampling Dr Khangelani Zuma, PhD Human Sciences Research Council Pretoria, South Africa http://www.hsrc.ac.za kzuma@hsrc.ac.za 22 May - 26 May 2006 Chapter 1 Surveys
More informationPOSSIBLE CONTENDERS FOR PRESIDENT IN 2008 January 1-3, 2007
CBS NEWS POLL For Release: Saturday, January 6, 2007 7:00 a.m. EST POSSIBLE CONTENDERS FOR PRESIDENT IN 2008 January 1-3, 2007 POSSIBLE CONTENDERS: THE DEMOCRATS Senator Hillary Clinton receives the highest
More informationChapter 1 Introduction
Chapter 1 Introduction Statistics is the science of data. Data are the numerical values containing some information. Statistical tools can be used on a data set to draw statistical inferences. These statistical
More informationSampling Subpopulations
1 Sampling Subpopulations Robert Clark 1 Robert Templeton 2 1 University of Wollongong 2 formerly New Zealand Ministry of Health Frontiers in Social Statistics Methodology 8 February 2017 2 Outline Features
More informationClinton vs. Giuliani on the Long Drive
ABC NEWS GOOD MORNING AMERICA POLL: THE LONG DRIVE EMBARGOED FOR RELEASE AFTER 7 a.m. Tuesday, Sept. 4, 2007 Clinton vs. Giuliani on the Long Drive If the presidential race were a cross-country road trip,
More informationOther Effective Sampling Methods
Other Effective Sampling Methods MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Stratified Sampling Definition A stratified sample is obtained by separating the
More informationMethodology Marquette Law School Poll October 26-31, 2016
Methodology Marquette Law School Poll October 26-31, 2016 The Marquette Law School Poll was conducted October 26-31, 2016. A total of 1401 registered voters were interviewed by a combination of landline
More informationThere is no class tomorrow! Have a good weekend! Scores will be posted in Compass early Friday morning J
STATISTICS 100 EXAM 3 Fall 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: L1 12:30pm L2 3:30pm Online MWF 12pm Write answers in appropriate blanks. When no blanks are provided CIRCLE your
More informationSURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)
1. Contact SURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) 1.1. Contact organization: Kosovo Agency of Statistics KAS 1.2. Contact organization unit: Social Department Living Standard Sector
More informationb. Stopping students on their way out of the cafeteria is a good way to sample if we want to know about the quality of the food there.
Chapter 12 Sample Surveys Look at Just Checking on page 273. Various claims are made for surveys. Why is each of the following claims not correct? a. It is always better to take a census than to draw a
More informationChapter 8. Producing Data: Sampling. BPS - 5th Ed. Chapter 8 1
Chapter 8 Producing Data: Sampling BPS - 5th Ed. Chapter 8 1 Population and Sample Researchers often want to answer questions about some large group of individuals (this group is called the population)
More informationSampling distributions and the Central Limit Theorem
Sampling distributions and the Central Limit Theorem Johan A. Elkink University College Dublin 14 October 2013 Johan A. Elkink (UCD) Central Limit Theorem 14 October 2013 1 / 29 Outline 1 Sampling 2 Statistical
More informationFull file at
Chapter 2 Data Collection 2.1 Observation single data point. Variable characteristic about an individual. 2.2 Answers will vary. 2.3 a. categorical b. categorical c. discrete numerical d. continuous numerical
More informationMassachusetts Renewables/ Cape Wind Survey
Massachusetts Renewables/ Cape Wind Survey Prepared for Civil Society Institute (CSI) Prepared by June 7, 2006 Copyright 2006. Opinion Research Corporation. All rights reserved. Table of Contents Page
More informationProportions. Chapter 19. Inference about a Proportion Simple Conditions. Inference about a Proportion Sampling Distribution
Proportions Chapter 19!!The proportion of a population that has some outcome ( success ) is p.!!the proportion of successes in a sample is measured by the sample proportion: Inference about a Population
More informationStatistical and operational complexities of the studies I Sample design: Use of sampling and replicated weights
Statistical and operational complexities of the studies I Sample design: Use of sampling and replicated weights Andrés Sandoval-Hernández IEA DPC Workshop on using PISA, PIAAC, TIMSS & PIRLS, TALIS datasets
More informationSampling Techniques. 70% of all women married 5 or more years have sex outside of their marriages.
Sampling Techniques Introduction In Women and Love: A Cultural Revolution in Progress (1987) Shere Hite obtained several impacting results: 84% of women are not satisfied emotionally with their relationships.
More informationOctober 6, Linda Owens. Survey Research Laboratory University of Illinois at Chicago 1 of 22
INTRODUCTION TO SURVEY SAMPLING October 6, 2010 Linda Owens University of Illinois at Chicago www.srl.uic.edu 1 of 22 Census or sample? Census: Gathering information about every individual in a population
More informationHonors Statistics. Daily Agenda
Honors Statistics Aug 23-8:26 PM Daily Agenda 1. Check homework C4#2 Aug 23-8:31 PM 1 Apr 6-9:53 AM All the artifacts discovered at the dig. Actual Population - Due to the random sampling... All the artifacts
More informationARIZONA: CLINTON, TRUMP NECK AND NECK; McCAIN ON TRACK FOR REELECTION
Please attribute this information to: Monmouth University Poll West Long Branch, NJ 07764 www.monmouth.edu/polling Follow on Twitter: @MonmouthPoll Released: Tuesday, 25, tact: PATRICK MURRAY 732-979-6769
More informationThe Savvy Survey #3: Successful Sampling 1
AEC393 1 Jessica L. O Leary and Glenn D. Israel 2 As part of the Savvy Survey series, this publication provides Extension faculty with an overview of topics to consider when thinking about who should be
More informationCensus: Gathering information about every individual in a population. Sample: Selection of a small subset of a population.
INTRODUCTION TO SURVEY SAMPLING October 18, 2012 Linda Owens University of Illinois at Chicago www.srl.uic.edu Census or sample? Census: Gathering information about every individual in a population Sample:
More informationChapter 19. Inference about a Population Proportion. BPS - 5th Ed. Chapter 19 1
Chapter 19 Inference about a Population Proportion BPS - 5th Ed. Chapter 19 1 Proportions The proportion of a population that has some outcome ( success ) is p. The proportion of successes in a sample
More informationZambia - Demographic and Health Survey 2007
Microdata Library Zambia - Demographic and Health Survey 2007 Central Statistical Office (CSO) Report generated on: June 16, 2017 Visit our data catalog at: http://microdata.worldbank.org 1 2 Sampling
More informationWNBC/Marist Poll Poughkeepsie, NY Phone Fax
WNBC/Marist Poll Poughkeepsie, NY 12601 Phone 845.575.5050 Fax 845.575.5111 www.maristpoll.marist.edu NYS Poll: Jury Still Out on Eliot Spitzer as Governor EMBARGOED FOR RELEASE: TUESDAY 6:00 P.M. MARCH
More informationChapter 12 Summary Sample Surveys
Chapter 12 Summary Sample Surveys What have we learned? A representative sample can offer us important insights about populations. o It s the size of the same, not its fraction of the larger population,
More informationComparative Study of Electoral Systems (CSES) Module 4: Design Report (Sample Design and Data Collection Report) September 10, 2012
Comparative Study of Electoral Systems 1 Comparative Study of Electoral Systems (CSES) (Sample Design and Data Collection Report) September 10, 2012 Country: Poland Date of Election: 09.10.2011 Prepared
More informationSurvey of Massachusetts Congressional District #4 Methodology Report
Survey of Massachusetts Congressional District #4 Methodology Report Prepared by Robyn Rapoport and David Dutwin Social Science Research Solutions 53 West Baltimore Pike Media, PA, 19063 Contents Overview...
More informationNATIONAL: MOST AMERICANS SAY MERRY CHRISTMAS
Please attribute this information to: Monmouth University Poll West Long Branch, NJ 07764 www.monmouth.edu/polling Follow on Twitter: @MonmouthPoll Released: Thursday, December 14, 2017 Contact: PATRICK
More informationSocial Studies 201 Notes for November 8, 2006 Sampling distributions Rest of semester For the remainder of the semester, we will be studying and
1 Social Studies 201 Notes for November 8, 2006 Sampling distributions Rest of semester For the remainder of the semester, we will be studying and working with inferential statistics estimation and hypothesis
More informationPublic Release Date: Tuesday July 26, 2016, 6:30 am EDT
Three in Ten (29%) Pokémon GO Players Agree It s Taking Over Their Life, They ve Skipped Day-to-Day Activities (29%) or Missed School or Work to Play (16%) Two in Ten (19%) Canadians Aged 13+ Have Downloaded
More informationUnderstanding and Using the U.S. Census Bureau s American Community Survey
Understanding and Using the US Census Bureau s American Community Survey The American Community Survey (ACS) is a nationwide continuous survey that is designed to provide communities with reliable and
More informationAustria Documentation
Austria 1987 - Documentation Table of Contents A. GENERAL INFORMATION B. POPULATION AND SAMPLE SIZE, SAMPLING METHODS C. MEASURES OF DATA QUALITY D. DATA COLLECTION AND ACQUISITION E. WEIGHTING PROCEDURES
More information2016 Election Impact on Cherokee County Voter Registration
2016 Election Impact on Cherokee County Voter Registration Frank Schieber, Future Campaign Manager August 14, 2017 Project Goals Does it matter whether Cherokee County, Georgia voter registration reflects
More informationSection 2: Preparing the Sample Overview
Overview Introduction This section covers the principles, methods, and tasks needed to prepare, design, and select the sample for your STEPS survey. Intended audience This section is primarily designed
More informationBotswana - Botswana AIDS Impact Survey III 2008
Statistics Botswana Data Catalogue Botswana - Botswana AIDS Impact Survey III 2008 Statistics Botswana - Ministry of Finance and Development Planning, National AIDS Coordinating Agency (NACA) Report generated
More informationSAMPLING BASICS. Frances Chumney, PhD
SAMPLING BASICS Frances Chumney, PhD What is a sample? SAMPLING BASICS A sample is a subset of the population from which data are collected. Why use a sample? It sometimes is not feasible to collect data
More informationUsing registers E-enumeration and CAPI Electronic map. Census process. E-enumeration. Census moment and census period E-enumeration process
COMBINED CENSUS METHODOLOGY IN 2011 CENSUS IN ESTONIA Diana Beltadze Statistics Estonia Content Choice of methodology Using registers E-enumeration and CAPI Electronic map Census process. E-enumeration
More informationAmericasBarometer, 2016/17
AmericasBarometer, 2016/17 Technical Information LAPOP AmericasBarometer 2016/17 round of surveys The 2016/17 AmericasBarometer study is based on interviews with 43,454 respondents in 29 countries. Nationally
More informationHonors Statistics. Daily Agenda
Honors Statistics Aug 23-8:26 PM Daily Agenda 3. Check homework C4#2 Aug 23-8:31 PM 1 Mar 12-12:06 PM Apr 6-9:53 AM 2 All the artifacts discovered at the dig. Actual Population - Due to the random sampling...
More informationAP Statistics Ch In-Class Practice (Probability)
AP Statistics Ch 14-15 In-Class Practice (Probability) #1a) A batter who had failed to get a hit in seven consecutive times at bat then hits a game-winning home run. When talking to reporters afterward,
More informationKey Words: age-order, last birthday, full roster, full enumeration, rostering, online survey, within-household selection. 1.
Comparing Alternative Methods for the Random Selection of a Respondent within a Household for Online Surveys Geneviève Vézina and Pierre Caron Statistics Canada, 100 Tunney s Pasture Driveway, Ottawa,
More informationTesting A New Methodology For Exit Polling: A National, Panel-Based Experiment
Testing A New Methodology For Exit Polling: A National, Panel-Based Experiment Conducted by The Associated Press-RC Center for Public Affairs Research Interviews: 10/31-11/8/2016 2,408 adults TE: weighted
More informationSAMPLING. A collection of items from a population which are taken to be representative of the population.
SAMPLING Sample A collection of items from a population which are taken to be representative of the population. Population Is the entire collection of items which we are interested and wish to make estimates
More informationWarm Up The following table lists the 50 states.
.notebook Warm Up The following table lists the 50 states. (a) Obtain a simple random sample of size 10 using Table I in Appendix A, a graphing calculator, or computer software. 4 basic sampling techniques
More informationSaint Lucia Country Presentation
Saint Lucia Country Presentation Workshop on Integrating Population and Housing with Agricultural Censuses 10 th 12 th June, 2013 Edwin St Catherine Director of Statistics Household and Population Census
More informationGore Inches Closer, But Bush Still Leads
ABC NEWS/WASHINGTON POST POLL: DEM. CONVENTION OPENER - 8/10/00 EMBARGO: 6:30 P.M. BROADCAST, 9 P.M. PRINT/WEB, Friday, Aug. 11, 2000 Gore Inches Closer, But Bush Still Leads Al Gore has inched closer
More informationUnit 1B-Modelling with Statistics. By: Niha, Julia, Jankhna, and Prerana
Unit 1B-Modelling with Statistics By: Niha, Julia, Jankhna, and Prerana [ Definitions ] A population is any large collection of objects or individuals, such as Americans, students, or trees about which
More information4.1: Samples & Surveys. Mrs. Daniel AP Stats
4.1: Samples & Surveys Mrs. Daniel AP Stats Section 4.1 Samples and Surveys After this section, you should be able to IDENTIFY the population and sample in a sample survey IDENTIFY voluntary response samples
More informationGathering information about an entire population often costs too much or is virtually impossible.
Sampling Gathering information about an entire population often costs too much or is virtually impossible. Instead, we use a sample of the population. A sample should have the same characteristics as the
More informationPacific Training on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics
Pacific Training on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics 13-17 August, Suva, Fiji Module 2: Review of Basics of Sampling Methods Session 2.1: Terminology,
More informationMarist College Institute for Public Opinion Poughkeepsie, NY Phone Fax
Marist College Institute for Public Opinion Poughkeepsie, NY 12601 Phone 845.575.5050 Fax 845.575.5111 www.maristpoll.marist.edu FOR IMMEDIATE RELEASE: Monday, September 22, 2003 Contact: Dr. Lee M. Miringoff
More informationQ.3 Thinking about the current path that our nation is taking, do you think our country is on the right track or headed in the wrong direction?
December 2011 Winthrop Poll Questionnaire # Q.1 Do you approve or disapprove of the way Barack Obama is handling his job as president of the United States? Approve... 1 Disapprove... 2 Not sure... 3...
More informationSample size, sample weights in household surveys
Sample size, sample weights in household surveys Outline Background Total quality in surveys Sampling Controversy Sample size, stratification and clustering effects An overview of the quality dimensions
More informationReport to Frack Free Frodsham & Helsby. Survey Analysis and Report of Residents Attitudes Towards Shale Gas Fracking in Helsby Parish Council Area
Report to Frack Free Frodsham & Helsby Survey Analysis and Report of Residents Attitudes Towards Shale Gas Fracking in Helsby Parish Council Area Author: John Murray BSc (hons) FBCS FSS CITP CEng Date:
More informationTurnout Key in Close Race; Young Voters Favor Kerry
ABC NEWS POLL: CAMPAIGN TRACKING #16 10/20/04 EMBARGOED FOR RELEASE AFTER 5 p.m. Thursday, Oct. 21, 2004 Turnout Key in Close Race; Young Voters Favor Kerry John Kerry has improved his standing among young
More informationcensus 2016: count yourself in
On May 10, all Canadians will be asked to count themselves in. That includes YOU, so expect your family to get a letter from Statistics Canada. It will be all about the 2016 Census of Population. What
More informationA Guide to Sampling for Community Health Assessments and Other Projects
A Guide to Sampling for Community Health Assessments and Other Projects Introduction Healthy Carolinians defines a community health assessment as a process by which community members gain an understanding
More informationCUOMO TOPS de BLASIO 4-1 AS TOP DEM IN NEW YORK, QUINNIPIAC UNIVERSITY POLL FINDS; CLINTON OR CUOMO STOMP GOP IN STATE IN 2016 RACE
Maurice Carroll, Assistant Director, Quinnipiac University Poll (203) 582-5334 Rubenstein Associates, Inc. Public Relations Contact: Pat Smith (212) 843-8026 FOR RELEASE: DECEMBER 23, 2014 CUOMO TOPS de
More informationTwo Candidates in Lockstep on the Brink of the Debates
ABC NEWS/WASHINGTON POST POLL: BEFORE THE DEBATES 10/1/00 EMBARGO: 6:30 P.M. BROADCAST, 9 P.M. PRINT/WEB, Monday, Oct. 2, 2000 Two Candidates in Lockstep on the Brink of the Debates On the eve of their
More informationSession V: Sampling. Juan Muñoz Module 1: Multi-Topic Household Surveys March 7, 2012
Session V: Sampling Juan Muñoz Module 1: Multi-Topic Household Surveys March 7, 2012 Households should be selected through a documented process that gives each household in the population of interest a
More information