Sampling Designs and Sampling Procedures

Size: px
Start display at page:

Download "Sampling Designs and Sampling Procedures"

Transcription

1 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 be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

2 LEARNING OUTCOMES 1. Explain reasons for taking a sample rather than a complete census 2. Describe the process of identifying a target population and selecting a sampling frame 3. Compare random sampling and systematic (nonsampling) errors 4. Identify the types of nonprobability sampling, including their advantages and disadvantages 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16-2

3 LEARNING OUTCOMES 5. Summarize the advantages and disadvantages of the various types of probability samples 6. Discuss how to choose an appropriate sample design, as well as challenges for Internet sampling 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16-3

4 Changing Pocketbook Problems for Today s Families Each quarter, the Gallup Corporation develops a representative sample of approximately 1,000 U.S. adults to capture public perceptions of financial concerns of the family. The most important problem facing families can often change over time Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16-4

5 Sampling Terminology Population (universe) Any complete group of entities that share some common set of characteristics. Population Element An individual member of a population. Census An investigation of all the individual elements that make up a population. Sample A subset, or some part, of a larger population Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16 5

6 Why Sample? Pragmatic Reasons Budget and time constraints. Limited access to total population. Accurate and Reliable Results Samples can yield reasonably accurate information. Strong similarities in population elements makes sampling possible. Sampling may be more accurate than a census. Destruction of Test Units Sampling reduces the costs of research in finite populations Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16 6

7 Finding Out about Work Is a Lot of Work! The U.S. Census Bureau and the Bureau of Labor Statistics conduct the Current Population Survey (CPS). Uses a scientifically derived panel sample of 60,000 households. Sophisticated and detailed Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16-7

8 EXHIBIT 16.1 Stages in the Selection of a Sample 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16 8

9 Practical Sampling Concepts Defining the Target Population What is the relevant population? Whom do we want to talk to? Population is operationally defined by specific and explicit tangible characteristics. The Sampling Frame A list of elements from which a sample may be drawn; also called working population. Sampling Frame Error Occurs when certain sample elements are not listed or are not accurately represented in a sampling frame Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. 16 9

10 EXHIBIT 16.2 Mailing List Directory Page 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

11 Practical Sampling Concepts (cont d) Sampling services (list brokers) Provide lists or databases of the names, addresses, phone numbers, and addresses of specific populations. Reverse directory A directory similar to a telephone directory except that listings are by city and street address or by phone number rather than alphabetical by last name. International Research Availability of sampling frames varies dramatically around the world Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

12 Sampling Units Sampling Unit A single element or group of elements subject to selection in the sample. Primary Sampling Unit (PSU) A unit selected in the first stage of sampling. Secondary Sampling Unit A unit selected in the second stage of sampling. Tertiary Sampling Unit A unit selected in the third stage of sampling Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

13 Random Sampling and Nonsampling Errors Random Sampling Error The difference between the sample result and the result of a census conducted using identical procedures. A statistical fluctuation that occurs because of chance variations in the elements selected for a sample. Systematic Sampling Error Systematic (nonsampling) error results from nonsampling factors, primarily the nature of a study s design and the correctness of execution. It is not due to chance fluctuation Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

14 Random Sampling and Nonsampling Errors (cont d) Less than Perfectly Representative Samples Random sampling errors and systematic errors associated with the sampling process may combine to yield a sample that is less than perfectly representative of the population Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

15 EXHIBIT 16.3 Errors Associated with Sampling 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

16 Probability versus Nonprobability Sampling Probability Sampling A sampling technique in which every member of the population has a known, nonzero probability of selection. Nonprobability Sampling A sampling technique in which units of the sample are selected on the basis of personal judgment or convenience. The probability of any particular member of the population being chosen is unknown Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

17 How Much Does Your Prescription Cost? It Depends on Who You Buy It From A survey of 200 pharmacies found that prices for the same prescription could vary as much as $100! 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

18 Nonprobability Sampling Convenience Sampling Obtaining those people or units that are most conveniently available. Judgment (Purposive) Sampling An experienced individual selects the sample based on personal judgment about some appropriate characteristic of the sample member. Quota Sampling Ensures that various subgroups of a population will be represented on pertinent characteristics to the exact extent that the investigator desires Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

19 American Kennel Club Tries to Keep Pet Owners out of the Doghouse The American Kennel Club (AKC) used quota sampling in a Dog Ownership Study. Sampled 500 dog owners and 500 nonowners. Dog owners described themselves as more laid-back and happy than non-owners Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

20 Nonprobability Sampling (cont d) Possible Sources Of Bias Respondents chosen because they were: Similar to interviewer Easily found Willing to be interviewed Middle-class Advantages of Quota Sampling Speed of data collection Lower costs Convenience 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

21 Nonprobability Sampling (cont d) Snowball Sampling A sampling procedure in which initial respondents are selected by probability methods and additional respondents are obtained from information provided by the initial respondents Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

22 Probability Sampling Simple Random Sampling Assures each element in the population of an equal chance of being included in the sample. Systematic Sampling A starting point is selected by a random process and then every nth number on the list is selected. Stratified Sampling Simple random subsamples that are more or less equal on some characteristic are drawn from within each stratum of the population Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

23 Proportional versus Disproportional Sampling Proportional Stratified Sample The number of sampling units drawn from each stratum is in proportion to the population size of that stratum. Disproportional Stratified Sample The sample size for each stratum is allocated according to analytical considerations Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

24 EXHIBIT 16.4 Disproportional Sampling: Hypothetical Example 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

25 Cluster Sampling Cluster Sampling An economically efficient sampling technique in which the primary sampling unit is not the individual element in the population but a large cluster of elements. Clusters are selected randomly Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

26 Who s at Home? Different Ways to Select Respondents Methods of generating representative samples: Full enumeration Kish method Who had last birthday? 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

27 Multistage Area Sampling Multistage Area Sampling Involves using a combination of two or more probability sampling techniques. Typically, geographic areas are randomly selected in progressively smaller (lower-population) units. Researchers may take as many steps as necessary to achieve a representative sample. Progressively smaller geographic areas are chosen until a single housing unit is selected for interviewing Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

28 EXHIBIT 16.6 Illustration of Multistage Area Sampling in the United States 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

29 EXHIBIT 16.7 Geographic Hierarchy Inside Urbanized Areas 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

30 What is the Appropriate Sample Design? Degree of accuracy Resources Time Advanced knowledge of the population National versus local project 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

31 New on Campus: Student Adjustment to College Life Stress and tension can impact students when they first arrive at school. Students were surveyed when they arrived and at the end of the first year. It s not good to engage in negative coping behaviors or have perfectionist tendencies. Better to be optimistic and socially oriented. Used a panel approach to assess change that occurred within a sample of students over time Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

32 Internet Sampling is Unique Website Visitors Internet surveys use unrestricted samples. May not be representative. Panel Samples Recruited Ad Hoc Samples Opt-in Lists 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part

Sampling Terminology. all possible entities (known or unknown) of a group being studied. MKT 450. MARKETING TOOLS Buyer Behavior and Market Analysis

Sampling 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 information

The challenges of sampling in Africa

The 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 information

Chapter 3 Monday, May 17th

Chapter 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 information

Section 2: Preparing the Sample Overview

Section 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 information

Chapter 4: Sampling Design 1

Chapter 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 information

Other Effective Sampling Methods

Other 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 information

Polls, such as this last example are known as sample surveys.

Polls, 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 information

Chapter 12 Summary Sample Surveys

Chapter 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 information

Stat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM

Stat472/572 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 information

MAT 1272 STATISTICS LESSON STATISTICS AND TYPES OF STATISTICS

MAT 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 information

PUBLIC EXPENDITURE TRACKING SURVEYS. Sampling. Dr Khangelani Zuma, PhD

PUBLIC 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 information

SAMPLING BASICS. Frances Chumney, PhD

SAMPLING 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 information

The Savvy Survey #3: Successful Sampling 1

The 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 information

Unit 8: Sample Surveys

Unit 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 information

Introduction INTRODUCTION TO SURVEY SAMPLING. General information. Why sample instead of taking a census? Probability vs. non-probability.

Introduction 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 information

Introduction INTRODUCTION TO SURVEY SAMPLING. Why sample instead of taking a census? General information. Probability vs. non-probability.

Introduction 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 information

Sampling. I Oct 2008

Sampling. I Oct 2008 Sampling I214 21 Oct 2008 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

More information

Chapter 12: Sampling

Chapter 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 information

These days, surveys are used everywhere and for many reasons. For example, surveys are commonly used to track the following:

These 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 information

October 6, Linda Owens. Survey Research Laboratory University of Illinois at Chicago 1 of 22

October 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 information

Objectives. Module 6: Sampling

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 information

Census: Gathering information about every individual in a population. Sample: Selection of a small subset of a population.

Census: 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 information

Basic Practice of Statistics 7th

Basic 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 information

b. 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.

b. 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 information

Elements of the Sampling Problem!

Elements 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 information

Stats: Modeling the World. Chapter 11: Sample Surveys

Stats: 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 information

6 Sampling. 6.2 Target Population and Sample Frame. See ECB (2011, p. 7). Monetary Policy & the Economy Q3/12 addendum 61

6 Sampling. 6.2 Target Population and Sample Frame. See ECB (2011, p. 7). Monetary Policy & the Economy Q3/12 addendum 61 6 Sampling 6.1 Introduction The sampling design of the HFCS in Austria was specifically developed by the OeNB in collaboration with the Institut für empirische Sozialforschung GmbH IFES. Sampling means

More information

Chapter 8. Producing Data: Sampling. BPS - 5th Ed. Chapter 8 1

Chapter 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 information

Botswana - Botswana AIDS Impact Survey III 2008

Botswana - 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 information

INTEGRATED COVERAGE MEASUREMENT SAMPLE DESIGN FOR CENSUS 2000 DRESS REHEARSAL

INTEGRATED COVERAGE MEASUREMENT SAMPLE DESIGN FOR CENSUS 2000 DRESS REHEARSAL INTEGRATED COVERAGE MEASUREMENT SAMPLE DESIGN FOR CENSUS 2000 DRESS REHEARSAL David McGrath, Robert Sands, U.S. Bureau of the Census David McGrath, Room 2121, Bldg 2, Bureau of the Census, Washington,

More information

Experiences with the Use of Addressed Based Sampling in In-Person National Household Surveys

Experiences with the Use of Addressed Based Sampling in In-Person National Household Surveys Experiences with the Use of Addressed Based Sampling in In-Person National Household Surveys Jennifer Kali, Richard Sigman, Weijia Ren, Michael Jones Westat, 1600 Research Blvd, Rockville, MD 20850 Abstract

More information

6 Sampling. 6.2 Target population and sampling frame. See ECB (2013a), p. 80f. MONETARY POLICY & THE ECONOMY Q2/16 ADDENDUM 65

6 Sampling. 6.2 Target population and sampling frame. See ECB (2013a), p. 80f. MONETARY POLICY & THE ECONOMY Q2/16 ADDENDUM 65 6 Sampling 6.1 Introduction The sampling design for the second wave of the HFCS in Austria was specifically developed by the OeNB in collaboration with the survey company IFES (Institut für empirische

More information

7.1 Sampling Distribution of X

7.1 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 information

Zambia - Demographic and Health Survey 2007

Zambia - 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 information

Stat Sampling. Section 1.2: Sampling. What about a census? Idea 1: Examine a part of the whole.

Stat 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 information

Estimation Methodology and General Results for the Census 2000 A.C.E. Revision II Richard Griffin U.S. Census Bureau, Washington, DC 20233

Estimation Methodology and General Results for the Census 2000 A.C.E. Revision II Richard Griffin U.S. Census Bureau, Washington, DC 20233 Estimation Methodology and General Results for the Census 2000 A.C.E. Revision II Richard Griffin U.S. Census Bureau, Washington, DC 20233 1. Introduction 1 The Accuracy and Coverage Evaluation (A.C.E.)

More information

3. Data and sampling. Plan for today

3. 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 information

March 10, Monday, March 10th. 1. Bell Work: Week #5 OAA. 2. Vocabulary: Sampling Ch. 9-1 MB pg Notes/Examples: Sampling Ch.

March 10, Monday, March 10th. 1. Bell Work: Week #5 OAA. 2. Vocabulary: Sampling Ch. 9-1 MB pg Notes/Examples: Sampling Ch. Monday, March 10th 1. Bell Work: Week #5 OAA 2. Vocabulary: Sampling Ch. 9-1 MB pg. 462 3. Notes/Examples: Sampling Ch. 9-1 1. Bell Work: Students' Lesson HeightsObjective: Students 2. Vocabulary: will

More information

Saint Lucia Country Presentation

Saint 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 information

UNIT 8 SAMPLE SURVEYS

UNIT 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 information

Gathering information about an entire population often costs too much or is virtually impossible.

Gathering 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 information

Sampling Subpopulations in Multi-Stage Surveys

Sampling Subpopulations in Multi-Stage Surveys Sampling Subpopulations in Multi-Stage Surveys Robert Clark, Angela Forbes, Robert Templeton This research was funded by the Statistics NZ Official Statistics Research Fund 2007/2008, and builds on the

More information

SURVEY ON POLICE INTEGRITY IN THE WESTERN BALKANS (ALBANIA, BOSNIA AND HERZEGOVINA, MACEDONIA, MONTENEGRO, SERBIA AND KOSOVO) Research methodology

SURVEY ON POLICE INTEGRITY IN THE WESTERN BALKANS (ALBANIA, BOSNIA AND HERZEGOVINA, MACEDONIA, MONTENEGRO, SERBIA AND KOSOVO) Research methodology SURVEY ON POLICE INTEGRITY IN THE WESTERN BALKANS (ALBANIA, BOSNIA AND HERZEGOVINA, MACEDONIA, MONTENEGRO, SERBIA AND KOSOVO) Research methodology Prepared for: The Belgrade Centre for Security Policy

More information

Sample Surveys. Chapter 11

Sample 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 information

Sierra Leone - Multiple Indicator Cluster Survey 2017

Sierra Leone - Multiple Indicator Cluster Survey 2017 Microdata Library Sierra Leone - Multiple Indicator Cluster Survey 2017 Statistics Sierra Leone, United Nations Children s Fund Report generated on: September 27, 2018 Visit our data catalog at: http://microdata.worldbank.org

More information

Vincent Thomas Mule, Jr., U.S. Census Bureau, Washington, DC

Vincent Thomas Mule, Jr., U.S. Census Bureau, Washington, DC Paper SDA-06 Vincent Thomas Mule, Jr., U.S. Census Bureau, Washington, DC ABSTRACT As part of the evaluation of the 2010 Census, the U.S. Census Bureau conducts the Census Coverage Measurement (CCM) Survey.

More information

Introduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty

Introduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty Inferential Statistics and Probability a Holistic Approach Chapter 1 Displaying and Analyzing Data with Graphs This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-ShareAlike

More information

SAMPLING. A collection of items from a population which are taken to be representative of the population.

SAMPLING. 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 information

Sample size, sample weights in household surveys

Sample 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 information

AmericasBarometer, 2016/17

AmericasBarometer, 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 information

Key Words: age-order, last birthday, full roster, full enumeration, rostering, online survey, within-household selection. 1.

Key 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 information

Sample Surveys. Sample Surveys. Al Nosedal. University of Toronto. Summer 2017

Sample Surveys. Sample Surveys. Al Nosedal. University of Toronto. Summer 2017 Al Nosedal. University of Toronto. Summer 2017 My momma always said: Life was like a box of chocolates. You never know what you re gonna get. Forrest Gump. Population, Sample, Sampling Design The population

More information

Comparing Generalized Variance Functions to Direct Variance Estimation for the National Crime Victimization Survey

Comparing Generalized Variance Functions to Direct Variance Estimation for the National Crime Victimization Survey Comparing Generalized Variance Functions to Direct Variance Estimation for the National Crime Victimization Survey Bonnie Shook-Sa, David Heller, Rick Williams, G. Lance Couzens, and Marcus Berzofsky RTI

More information

Pacific 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 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 information

Warm Up The following table lists the 50 states.

Warm 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 information

Chapter 1 Introduction

Chapter 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 information

Guyana - Multiple Indicator Cluster Survey 2014

Guyana - Multiple Indicator Cluster Survey 2014 Microdata Library Guyana - Multiple Indicator Cluster Survey 2014 United Nations Children s Fund, Guyana Bureau of Statistics, Guyana Ministry of Public Health Report generated on: December 1, 2016 Visit

More information

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies CHAPTER 4 Designing Studies 4.1 Samples and Surveys The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Samples and Surveys Learning Objectives After this

More information

Class 10: Sampling and Surveys (Text: Section 3.2)

Class 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 information

AP Statistics S A M P L I N G C H A P 11

AP 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 information

Estimating Sampling Error for Cluster Sample Travel Surveys by Replicated Subsampling

Estimating Sampling Error for Cluster Sample Travel Surveys by Replicated Subsampling 36 TRANSPORTATION RESEARCH RECORD 1090 Estimating Sampling Error for Cluster Sample Travel Surveys by Replicated Subsampling DON L. OCHOA AND GEORGE M. RAMSEY The California Department of Transportation

More information

4.1: Samples & Surveys. Mrs. Daniel AP Stats

4.1: 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 information

Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001

Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001 Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001 COVERAGE MEASUREMENT RESULTS FROM THE CENSUS 2000 ACCURACY AND COVERAGE EVALUATION SURVEY Dawn E. Haines and

More information

Statistical 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 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 information

SAMPLE DESIGN A.1 OBJECTIVES OF THE SAMPLE DESIGN A.2 SAMPLE FRAME A.3 STRATIFICATION

SAMPLE DESIGN A.1 OBJECTIVES OF THE SAMPLE DESIGN A.2 SAMPLE FRAME A.3 STRATIFICATION SAMPLE DESIGN Appendix A A.1 OBJECTIVES OF THE SAMPLE DESIGN The primary objective of the sample design for the 2002 Jordan Population and Family Health Survey (JPFHS) was to provide reliable estimates

More information

Working Paper n. 79, January 2009

Working Paper n. 79, January 2009 Methodology of European labour force surveys: (2) Sample design and implementation Francesca Gagliardi, Vijay Verma, Giulia Ciampalini Working Paper n. 79, January 2009 Methodology of European labour

More information

Recall Bias on Reporting a Move and Move Date

Recall Bias on Reporting a Move and Move Date Recall Bias on Reporting a Move and Move Date Travis Pape, Kyra Linse, Lora Rosenberger, Graciela Contreras U.S. Census Bureau 1 Abstract The goal of the Census Coverage Measurement (CCM) for the 2010

More information

Data sources data processing

Data sources data processing Data sources data processing Developing National Systems of Tourism Statistics: Challenges and Good Practices Regional Workshop for the CIS countries, 29 June 2 July 2010 United Nations Statistics Division

More information

INTERNATIONAL TELECOMMUNICATION UNION

INTERNATIONAL TELECOMMUNICATION UNION INTERNATIONAL TELECOMMUNICATION UNION TELECOMMUNICATION DEVELOPMENT BUREAU Document 001-E 24 February 2009 Original: English 7 TH WORLD TELECOMMUNICATION/ICT INDICATORS MEETING, CAIRO, EGYPT, 3-5 MARCH

More information

APPENDIX A: SAMPLING DESIGN & WEIGHTING

APPENDIX A: SAMPLING DESIGN & WEIGHTING Page 3110 Appendix A APPENDIX A: SAMPLING DESIGN & WEIGHTING In the original National Science Foundation grant, support was given for a modified probability sample. Samples for the 1972 through 1974 surveys

More information

APPENDIX A: SAMPLING DESIGN & WEIGHTING

APPENDIX A: SAMPLING DESIGN & WEIGHTING Page 3110 Appendix A APPENDIX A: SAMPLING DESIGN & WEIGHTING In the original National Science Foundation grant, support was given for a modified probability sample. Samples for the 1972 through 1974 surveys

More information

STA 218: Statistics for Management

STA 218: Statistics for Management Al Nosedal. University of Toronto. Fall 2017 My momma always said: Life was like a box of chocolates. You never know what you re gonna get. Forrest Gump. Population, Sample, Sampling Design The population

More information

Barbados - Multiple Indicator Cluster Survey 2012

Barbados - Multiple Indicator Cluster Survey 2012 Microdata Library Barbados - Multiple Indicator Cluster Survey 2012 United Nations Children s Fund, Barbados Statistical Service Report generated on: October 6, 2015 Visit our data catalog at: http://ddghhsn01/index.php

More information

Thailand - The Population and Housing Census of Thailand IPUMS Subset

Thailand - The Population and Housing Census of Thailand IPUMS Subset Microdata Library Thailand - The Population and Housing Census of Thailand 2000 - IPUMS Subset National Statistical Office, Minnesota Population Center - University of Minnesota Report generated on: April

More information

The main focus of the survey is to measure income, unemployment, and poverty.

The main focus of the survey is to measure income, unemployment, and poverty. HUNGARY 1991 - 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 information

Full file at

Full 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 information

Nigeria - Multiple Indicator Cluster Survey

Nigeria - Multiple Indicator Cluster Survey Microdata Library Nigeria - Multiple Indicator Cluster Survey 2016-2017 National Bureau of Statistics of Nigeria, United Nations Children s Fund Report generated on: May 1, 2018 Visit our data catalog

More information

Liberia - Household Income and Expenditure Survey 2016

Liberia - Household Income and Expenditure Survey 2016 Microdata Library Liberia - Household Income and Expenditure Survey 2016 Liberia Institute for Statistics and Geo-Information Services - Government of Liberia Report generated on: April 9, 2018 Visit our

More information

Sampling distributions and the Central Limit Theorem

Sampling 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 information

not human choice is used to select the sample.

not human choice is used to select the sample. [notes for days 2 and 3] Random Sampling All statistical sampling designs have in common the idea that chance not human choice is used to select the sample. Randomize let chance do the choosing! Randomization

More information

A QUALITY ASSURANCE STRATEGY IN MALAYSIA 2020 POPULATION AND HOUSING CENSUS

A QUALITY ASSURANCE STRATEGY IN MALAYSIA 2020 POPULATION AND HOUSING CENSUS United Nations Regional Workshop on The 2020 World Programme on Population and Housing Censuses: International Standards and Contemporary Technologies SESSION 6: A QUALITY ASSURANCE IN POPULATION AND HOUSING

More information

A Guide to Sampling for Community Health Assessments and Other Projects

A 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 information

Country Paper : Macao SAR, China

Country Paper : Macao SAR, China Macao China Fifth Management Seminar for the Heads of National Statistical Offices in Asia and the Pacific 18 20 September 2006 Daejeon, Republic of Korea Country Paper : Macao SAR, China Government of

More information

Chapter 4: Designing Studies

Chapter 4: Designing Studies Chapter 4: Designing Studies Section 4.1 Samples and Surveys The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE Chapter 4 Designing Studies 4.1 Samples and Surveys 4.2 Experiments 4.3

More information

An Introduction to ACS Statistical Methods and Lessons Learned

An Introduction to ACS Statistical Methods and Lessons Learned An Introduction to ACS Statistical Methods and Lessons Learned Alfredo Navarro US Census Bureau Measuring People in Place Boulder, Colorado October 5, 2012 Outline Motivation Early Decisions Statistical

More information

STAT 100 Fall 2014 Midterm 1 VERSION B

STAT 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 information

Austria Documentation

Austria 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 information

Sampling Techniques. 70% of all women married 5 or more years have sex outside of their marriages.

Sampling 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 information

Eastlan Ratings Radio Audience Estimate Survey Methodology

Eastlan Ratings Radio Audience Estimate Survey Methodology Survey Area Eastlan Ratings Radio Audience Estimate Survey Methodology Eastlan Resources, LLC has defined each radio market surveyed into an Eastlan Survey Area (ESA). Generally, an Eastlan Survey Area

More information

Session 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 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

Methodology Marquette Law School Poll August 13-16, 2015

Methodology 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 information

SURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

SURVEY 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 information

Liberia - Demographic and Health Survey 2007

Liberia - Demographic and Health Survey 2007 Microdata Library Liberia - Demographic and Health Survey 2007 Liberia Institute for Statistics and Geo-Information Services (LISGIS) Report generated on: June 16, 2017 Visit our data catalog at: http://microdata.worldbank.org

More information

Lao PDR - Multiple Indicator Cluster Survey 2006

Lao PDR - Multiple Indicator Cluster Survey 2006 Microdata Library Lao PDR - Multiple Indicator Cluster Survey 2006 Department of Statistics - Ministry of Planning and Investment, Hygiene and Prevention Department - Ministry of Health, United Nations

More information

Methodology Marquette Law School Poll June 22-25, 2017

Methodology 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 information

Comparative Study of Electoral Systems (CSES) Module 4: Design Report (Sample Design and Data Collection Report) September 10, 2012

Comparative 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 information

Turkmenistan - Multiple Indicator Cluster Survey

Turkmenistan - Multiple Indicator Cluster Survey Microdata Library Turkmenistan - Multiple Indicator Cluster Survey 2015-2016 United Nations Children s Fund, State Committee of Statistics of Turkmenistan Report generated on: February 22, 2017 Visit our

More information

2011 UK Census Coverage Assessment and Adjustment Methodology

2011 UK Census Coverage Assessment and Adjustment Methodology 2011 UK Census Coverage Assessment and Adjustment Methodology Owen Abbott Introduction The census provides a once-in-a decade opportunity to get an accurate, comprehensive and consistent picture of the

More information

Introduction. Data Source

Introduction. Data Source Introduction The emergence of digital technologies including the Internet, smartphones, tablets and other digital devices has increased both the complexity of the core definition of this construct, the

More information

POLI 300 PROBLEM SET #2 10/04/10 SURVEY SAMPLING: ANSWERS & DISCUSSION

POLI 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 information