# 1) Overview 2) Sample or Census 3) The Sampling Design Process i. Define the Target Population ii. Determine the Sampling Frame iii.

Save this PDF as:

Size: px
Start display at page:

Download "1) Overview 2) Sample or Census 3) The Sampling Design Process i. Define the Target Population ii. Determine the Sampling Frame iii."

## Transcription

1 1) Overview 2) Sample or Census 3) The Sampling Design Process i. Define the Target Population ii. Determine the Sampling Frame iii. Select a Sampling Technique iv. Determine the Sample Size v. Execute the Sampling Process

2 4) A Classification of Sampling Techniques i. Nonprobability Sampling Techniques a. Convenience Sampling b. Judgmental Sampling c. Quota Sampling d. Snowball Sampling ii. Probability Sampling Techniques a. Simple Random Sampling b. Systematic Sampling c. Stratified Sampling d. Cluster Sampling e. Other Probability Sampling Techniques 5. Choosing Nonprobability versus Probability Sampling 6. Uses of Nonprobability versus Probability Sampling

3

4 Conditions favoring the use of 1. Budget 2. Time available 3. Population size SAMPLE small short large CENSUS high Long small

5

6 The target population is the collection of elements or objects that possess the information sought by the researcher and about which inferences are to be made. The target population should be defined in terms of elements, sampling units, extent, and time. An element is the object about which or from which the information is desired: respondents, products, stores, companies, families, A sampling unit is an element, or a unit containing the element, that is available for selection at some stage of the sampling process. Extent refers to the geographical boundaries. Time is the time period under consideration.

7 Element: male or female head of the household responsible for most of the shopping at department stores Sampling units: households; then male or female head of the household. Extend: Porto Time: November, 2004 Element: Male or female head of households Sampling units: Working telephone numbers; then male or female head of households Extend: Porto Time: November, 2004

8 Element: adults meeting three qualifications Age 25 or older Live in Algarve at least seven months of the year Have a driver's license Sampling units: household with a telephone number; then adults meeting the defined qualifications Extend: Porto Time: Period of the survey Element: Our product Sampling units: Supermarkets, drugstores; then our product Extend: Porto Time: Period of the survey

9 Element: Chemical engineers Sampling units: Companies purchasing over of chemicals per year; then chemical engineers Extend: Europe Time: 2003 Element: Females Sampling units: Females Extend: Porto Time: November, 2004

10 Suppose that Revlon wanted to asses consumer response to a new line of lipsticks and wanted to sample females over 18 years of age. a) it may be possible to sample females over 18 directly, in which case a sampling unit would be the same as an element; b) alternatively, the sampling unit might be households; in the later case, households would be sampled and all females over 18 in each selected household would be interviewed; here, the sampling unit and the element are different. A representation of the elements of the target population. It consists of a list or set of directions for identifying the target population Examples telephone book association directory listing the firms in an industry a mailing list purchased from a commercial organization a map

11 Important qualitative factors in determining the sample size the importance of the decision the nature of the research the number of variables the nature of the analysis sample sizes used in similar studies incidence rates completion rates resource constraints!" #\$ % #% '"" % # (!" #\$" \$ & # \$ & # \$ & #! \$ #&!! #\$ \$ )#!\$

12 &! "# \$ % '# # & & Probability Sampling Nonprobability sampling a sampling procedure in which each element of the population has a fixed probabilistic chance of being selected for the sample Sampling techniques that do not use chance selection procedures. Rather, they rely on the personal judgment of the researcher

13 ''( & % Each element in the population has a known and equal probability of selection. Each possible sample of a given size (n) has a known and equal probability of being the sample actually selected. This implies that every element is selected independently of every other element. The sample is drawn from a random procedure from a sampling frame

14 ) ''( Simple Random Sampling () *)#( ) +),## %(# -)## ###

15 ( The sample is chosen by selecting a random starting point and then picking every ith element in succession from the sampling frame. The sampling interval, k, is determined by dividing the population size N by the sample size n and rounding to the nearest integer. When the ordering of the elements is related to the characteristic of interest, systematic sampling increases the representativeness of the sample. If the ordering of the elements produces a cyclical pattern, systematic sampling may decrease the representativeness of the sample. For example, there are 100,000 elements in the population and a sample of 1,000 is desired. In this case the sampling interval,ki, is 100. A random number between 1 and 100 is selected. If, for example, this number is 23, the sample consists of elements 23, 123, 223, 323, 423, 523, and so on. *( % Tennis magazine conducted a mail survey of its subscribers to gain a better understanding of its market. Systematic sampling was employed to select a sample of 1,472 subscribers from the publication's domestic circulation list. If we assume that the subscriber list had 1,472,000 names, the sampling interval would be 1,000 (1,472,000/1,472). A number from 1 to 1,000 was drawn at random. Beginning with that number, every 1,000th subscriber was selected. A brand-new dollar bill was included with the questionnaire as an incentive to respondents. An alert postcard was mailed one week before the survey. A second, follow-up, questionnaire was sent to the whole sample ten days after the initial questionnaire. There were 76 post office returns, so the net effective mailing was 1,396. Six weeks after the first mailing, 778 completed questionnaires were returned, yielding a response rate of 56%.

16 + Suppose that you want to select a random sample of 250 names from the white pages of a phone book. Let's also say that there are 55,000 names listed in the white pages. A systematic sample provides a convenient way to choose the sample.

17 ) ''( Systematic Sampling () *)#() +)!./0)12 # -)#22%(#2# # 3)%%% #.2424* )245( A two-step process in which the population is partitioned into subpopulations, or strata. The strata should be mutually exclusive and collectively exhaustive in that every population element should be assigned to one and only one stratum and no population elements should be omitted. Next, elements are selected from each stratum by a random procedure, usually SRS. A major objective of stratified sampling is to increase precision without increasing cost.

18 The elements within a stratum should be as homogeneous as possible, but the elements in different strata should be as heterogeneous as possible. The stratification variables should also be closely related to the characteristic of interest. Finally, the variables should decrease the cost of the stratification process by being easy to measure and apply. In proportionate stratified sampling, the size of the sample drawn from each stratum is proportionate to the relative size of that stratum in the total population. In disproportionate stratified sampling, the size of the sample from each stratum is proportionate to the relative size of that stratum and to the standard deviation of the distribution of the characteristic of interest among all the elements in that stratum.

19 ) ''( Stratified Sampling () *)!#26 +)!#6)7#!2# 6 -)12( ) 3)2 2# ##2% 8)12# + A maganize aims to conduct a satisfaction study of its clients. For this purpose, a stratified sample is drawn, based on two stratification variables. Client antiquity (<1 year; between 1 and 3 years; > 3 years; Residence region (North, Center, South and Islands) The firm ll survey 800 clients and decides to use a proportionate stratified sampling. N = 6000 subscribers! Calculate the size of the sample in each stratum

20 + The target population is first divided into mutually exclusive and collectively exhaustive subpopulations, or clusters. Then a random sample of clusters is selected, based on a probability sampling technique such as SRS. For each selected cluster, either all the elements are included in the sample (one-stage) or a sample of elements is drawn probabilistically (two-stage). Elements within a cluster should be as heterogeneous as possible, but clusters themselves should be as homogeneous as possible. Ideally, each cluster should be a small-scale representation of the population. In probability proportionate to size sampling, the clusters are sampled with probability proportional to size. In the second stage, the probability of selecting a sampling unit in a selected cluster varies inversely with the size of the cluster.

21

22 ( &5 %5 9

23 ) ''( Cluster Sampling ():( *)!# %%## +)!2/0# -)#%(#2# # 3)1#%%. 2424*2)45( 8)## ;)%##' <)'!#!) % =2# =/ 5(2 #%!=) ) ''( Cluster Sampling Repeat the process until each of the remaining clusters has a population less than the sampling interval. If b clusters have been selected with certainty, select the remaining c- b clusters according to steps 1 through 7. The fraction of units to be sampled with certainty is the overall sampling fraction = n/n. Thus, for clusters selected with certainty, we would select n s =(n/n)(n 1 +N N b ) units. The units selected from clusters selected under PPS sampling will therefore be n*=n- n s.

24 ,''( & Convenience sampling attempts to obtain a sample of convenient elements. Often, respondents are selected because they happen to be in the right place at the right time. use of students, and members of social organizations mall intercept interviews without qualifying the respondents department stores using charge account lists people on the street interviews

25 - Judgmental sampling is a form of convenience sampling in which the population elements are selected based on the judgment of the researcher. test markets purchase engineers selected in industrial marketing research bellwether precincts selected in voting behavior research expert witnesses used in court. Quota sampling may be viewed as two-stage restricted judgmental sampling. The first stage consists of developing control categories, or quotas, of population elements. In the second stage, sample elements are selected based on convenience or judgment. Population Sample composition composition Control Characteristic Percentage Percentage Number Sex Male Female

26 " 56 #\$ %& ' " ( )))))))))))))))) * ( )))))))))))))))) +,&- ( )))))) &+,%- ( )))))) %+,-. / )))))))) +0,(- ( )))))) 1(+ ( )))))) - )))) 2 - )))) & )) 3 - )))) 4 0 )))))))))) * / )))))))) Quota sample example

27 )' In snowball sampling, an initial group of respondents is selected, usually at random. After being interviewed, these respondents are asked to identify others who belong to the target population of interest. Subsequent respondents are selected based on the referrals. / \$ 0& 57, 8 59, 3 9 : ; 9, #<\$ 4 < > = 3 7 >

28 ,''( ''( * (% + (,, -. *% %, ' / / 0 +% (% 1 (% +%

### Sampling: Design and Procedures

Chapter Eleven Sampling: Design and Procedures 11-1 Brand name change and re-position Coke to New Coke Legend to Lenovo (2003) Panasonic, National, Technic all to Panasonic Vegemite to isnack 2.0 (social

### Sampling in Marketing Research

Sampling in Marketing Research 1 Basics of sampling I A sample is a part of a whole to show what the rest is like. Sampling helps to determine the corresponding value of the population and plays a vital

### Elementary Statistics

Elementary Statistics Chapter 1 Dr. Ghamsary Page 1 Elementary Statistics M. Ghamsary, Ph.D. Chap 01 1 Elementary Statistics Chapter 1 Dr. Ghamsary Page 2 Statistics: Statistics is the science of collecting,

### SAMPLING METHODS. Chapter 5

SAMPLING METHODS Chapter 5 1 LEARNING OBJECTIVES Reasons for sampling Different sampling methods Probability & non probability sampling Advantages & disadvantages of each sampling method 2 SAMPLING A sample

### Sampling: Design and Procedures

MBACATÓLICA JAN/APRIL 2006 Marketing Research Fernando S. Machado Week 6 Sampling: Design and Procedures Sampling: Sample Size Determination Data Preparation 1 Sampling: Design and Procedures The Sampling

### Chapter 8: Quantitative Sampling

Chapter 8: Quantitative Sampling I. Introduction to Sampling a. The primary goal of sampling is to get a representative sample, or a small collection of units or cases from a much larger collection or

### Sampling & Sample Size Estimation

Sampling & Sample Size Estimation Moazzam Ali MD, PhD, MPH Department of Reproductive Health and Research World Health Organization Geneva, Switzerland Presented at: GFMER September 16, 2014 Topics to

### Introduction to Sampling. Dr. Safaa R. Amer. Overview. for Non-Statisticians. Part II. Part I. Sample Size. Introduction.

Introduction to Sampling for Non-Statisticians Dr. Safaa R. Amer Overview Part I Part II Introduction Census or Sample Sampling Frame Probability or non-probability sample Sampling with or without replacement

### Chapter 7 Multiple Choice Questions (The answers are provided after the last question.)

Chapter 7 Multiple Choice Questions (The answers are provided after the last question.) 1. When each member of a population has an equally likely chance of being selected, this is called: a. A nonrandom

### Other Sampling Methods

Other Sampling Methods Taking a simple random sample may not always be the best approach to sampling. The following are a few other sampling methods, all of which are good substitutes for simple random

### Survey Process White Paper Series Five Steps in Creating a Survey Sampling Plan

Survey Process White Paper Series Five Steps in Creating a Survey Sampling Plan POLARIS MARKETING RESEARCH, INC. 1455 LINCOLN PARKWAY, SUITE 320 ATLANTA, GEORGIA 30346 404.816.0353 www.polarismr.com ii

### Basic Research Progress

Mgt 540 Research Methods Sampling Issues 1 Basic Research Progress Explorative - Descriptive (Qualitative) 1. Framework / Domain extant knowledge for reference 2. Research Design 3. Data collection / presentation

### TYPES OF SAMPLING. 2. Types of Non-probability Sample: There are the following four types of nonprobability PROBABILITY SAMPLING

TYPES OF SAMPLING 1. Types or Techniques Probability Sampling: There are a number of techniques of taking Probability sample. But here only six important techniques have been discussed as follows: 1. Simple

### Sampling Designs. 1. Simple random sampling (SRS) Steps: The method is not very different from winning a lottery.

Sampling Designs 1. Simple random sampling (SRS) Steps: (1) Assign a single number to each element in the sampling frame. (2) Use random numbers to select elements into the sample until the desired number

### Sampling Exercise. ESP178 Research Methods Professor Susan Handy 2/4/16

Sampling Exercise ESP178 Research Methods Professor Susan Handy 2/4/16 Types of Sampling Type Probability sampling i.e. random Non-probability sampling i.e. non-random Definition Every element in the population

### Why Sample? Why not study everyone? Debate about Census vs. sampling

Sampling Why Sample? Why not study everyone? Debate about Census vs. sampling Problems in Sampling? What problems do you know about? What issues are you aware of? What questions do you have? Key Sampling

### A GUIDE TO SAMPLING & STATISTICAL RELIABILITY

July 2009 Technical Note 5 A GUIDE TO SAMPLING & STATISTICAL RELIABILITY The word survey is used most often to describe a method of gathering information from a sample of individuals. This sample is usually

### Chapter 7 Sampling and Sampling Distributions. Learning objectives

Chapter 7 Sampling and Sampling Distributions Slide 1 Learning objectives 1. Understand Simple Random Sampling 2. Understand Point Estimation and be able to compute point estimates 3. Understand Sampling

### Tata Tulis dan Komunikasi Ilmiah

Tata Tulis dan Komunikasi Ilmiah Desain Sampel Dr. Eko Pujiyanto, S.Si., M.T. Materi 1. Sensus dan survei sampel 2. Langkah-langkahdalamdesainsampling, 3. Kriteriamemilihprosedursampling, 4. Karakteristikdesainsampelyang

### Experimental data and survey data

Experimental data and survey data An experiment involves the collection of measurements or observations about populations that are treated or controlled by the experimenter. A survey is an examination

### SAMPLING METHODS IN SOCIAL RESEARCH

SAMPLING METHODS IN SOCIAL RESEARCH Muzammil Haque Ph.D Scholar Visva Bharati, Santiniketan,West Bangal Sampling may be defined as the selection of some part of an aggregate or totality on the basis of

### Survey Sampling. Know How No 9 guidance for research and evaluation in Fife. What this is about? Who is it for? What do you need to know?

guidance for research and evaluation in Fife What this is about? Sampling allows you to draw conclusions about a particular population by examining a part of it. When carrying out a survey, it is not usually

### Descriptive Methods Ch. 6 and 7

Descriptive Methods Ch. 6 and 7 Purpose of Descriptive Research Purely descriptive research describes the characteristics or behaviors of a given population in a systematic and accurate fashion. Correlational

### Sampling Probability and Inference

PART II Sampling Probability and Inference The second part of the book looks into the probabilistic foundation of statistical analysis, which originates in probabilistic sampling, and introduces the reader

### Session 2.4: Clustering and Single Stage Cluster Sampling

Second Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics Module 2: Review of Basics of Sampling Methods Session 2.4: Clustering and Single

### An Introduction to Sampling

An Introduction to Sampling Sampling is the process of selecting a subset of units from the population. We use sampling formulas to determine how many to select because it is based on the characteristics

### Sampling Frames: Peter M. Lance, PhD, UNC CPC Baltimore, Thursday September 17

Sampling Frames: Peter M. Lance, PhD, UNC CPC Baltimore, Thursday September 17 Plan of this discussion Introduce the basics of sampling Describe sampling frames and how to sample from them (as well as

About Sampling TABLE OF CONTENTS About Sampling... 1 Why is SAMPLING important?... 1 Common Language... 1 Probability & Nonprobability Sampling... 1 Sampling Methods... 2 Simple Random Sample (SRS)...

### Types of Probability Samples

Types of Probability Samples Simple Random Systematic Random Stratified Random Random Cluster Stratified Cluster Complex Multi-stage Random (various kinds) Simple Random Sampling Each element in the population

### EAA492/6: FINAL YEAR PROJECT DEVELOPING QUESTIONNAIRES PART 2 A H M A D S H U K R I Y A H A Y A E N G I N E E R I N G C A M P U S U S M

EAA492/6: FINAL YEAR PROJECT DEVELOPING QUESTIONNAIRES PART 2 1 A H M A D S H U K R I Y A H A Y A E N G I N E E R I N G C A M P U S U S M CONTENTS Reliability And Validity Sample Size Determination Sampling

### Section 2: Ten Tools for Applying Sociology

Section 2: Ten Tools for Applying Sociology CHAPTER 2.6: DATA COLLECTION METHODS QUICK START: In this chapter, you will learn The basics of data collection methods. To know when to use quantitative and/or

### 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

### Formalizing the Concepts: Simple Random Sampling

Formalizing the Concepts: Simple Random Sampling Purpose of sampling To study a portion of the population through observations at the level of the units selected, such as households, persons, institutions

### Sampling and Sampling Distributions

Sampling and Sampling Distributions Random Sampling A sample is a group of objects or readings taken from a population for counting or measurement. We shall distinguish between two kinds of populations

### Notes and Comments I INTRODUCTION

Economic and Social Review, Vol. 10, No. 2, January, 1979, pp. 169-174. Notes and Comments RANSAM: A Random Sample Design for Ireland BRENDAN J. WHELAN The Economic and Social Research Institute, Dublin

### Non-random/non-probability sampling designs in quantitative research

206 RESEARCH MET HODOLOGY Non-random/non-probability sampling designs in quantitative research N on-probability sampling designs do not follow the theory of probability in the choice of elements from the

### Sample Surveys. The two most typical sources of bias are selection bias and non-response bias.

Sample Surveys In this class we will consider the problem of sampling from a finite population. This is usually referred to as a survey. The goal of the survey is to learn about some parameters of a population,

### Selecting Research Participants

C H A P T E R 6 Selecting Research Participants OBJECTIVES After studying this chapter, students should be able to Define the term sampling frame Describe the difference between random sampling and random

### Unit 1: Research Design, Sampling & Measurement

Unit 1: Research Design, Sampling & Measurement irat You have 10 minutes to do it Mark your answer on both answer sheet and question sheet Turn in the answer sheet GOG502/PLN504 Youqin Huang 1 GOG502/PLN504

### Data network for better European organic market information SAMPLING. and its relevance for sound data collection

Data network for better European organic market information SAMPLING and its relevance for sound data collection OrganicDataNetwork Workshop, Bari, July 10 & 11, 2014 Corinna Feldmann, University of Kassel

### APPENDIX A: SURVEY METHODOLOGY

55 APPENDIX A: SURVEY METHODOLOGY The survey was conducted by telephone with a national sample of adults (18 years of age or older) living in all 50 U.S. states and the District of Columbia. The results

### POLI 300 Handout #2 N. R. Miller RANDOM SAMPLING. Key Definitions Pertaining to Sampling

POLI 300 Handout #2 N. R. Miller Key Definitions Pertaining to Sampling RANDOM SAMPLING 1. Population: the set of units (in survey research, usually individuals or households), N in number, that are to

### SAMPLING & INFERENTIAL STATISTICS. Sampling is necessary to make inferences about a population.

SAMPLING & INFERENTIAL STATISTICS Sampling is necessary to make inferences about a population. SAMPLING The group that you observe or collect data from is the sample. The group that you make generalizations

### Appendix Methodology and Statistics

Appendix Methodology and Statistics Introduction Science and Engineering Indicators (SEI) contains data compiled from a variety of sources. This appendix explains the methodological and statistical criteria

### AP Exam Review: Sampling NAME

AP Exam Review: Sampling NAME 1. At a certain university, students who live in the dormitories eat at a common dining hall. Recently, some students have been complaining about the quality of the food served

### Chapter 7 Sampling (Reminder: Don t forget to utilize the concept maps and study questions as you study this and the other chapters.

Chapter 7 Sampling (Reminder: Don t forget to utilize the concept maps and study questions as you study this and the other chapters.) The purpose of Chapter 7 it to help you to learn about sampling in

### NON-PROBABILITY SAMPLING TECHNIQUES

NON-PROBABILITY SAMPLING TECHNIQUES PRESENTED BY Name: WINNIE MUGERA Reg No: L50/62004/2013 RESEARCH METHODS LDP 603 UNIVERSITY OF NAIROBI Date: APRIL 2013 SAMPLING Sampling is the use of a subset of the

### Population and sample. Sampling techniques

MaMaEuSch Management Mathematics for European Schools http://www.mathematik.unikl.de/ mamaeusch Population and sample. Sampling techniques Paula Lagares Barreiro Justo Puerto Albandoz MaMaEuSch Management

### How to do a Survey (A 9-Step Process) Mack C. Shelley, II Fall 2001 LC Assessment Workshop

How to do a Survey (A 9-Step Process) Mack C. Shelley, II Fall 2001 LC Assessment Workshop 1. Formulate the survey keeping in mind your overall substantive and analytical needs. Define the problem you

### Sampling the Evidence of Extension Program Impact 1

PEOD5 1 Glenn D. Israel 2 Evaluating cooperative Extension programs is a process which includes gathering evidence about program outcomes and impacts. One part of this process is the determination of how

### 1.1 What is statistics? Data Collection. Important Definitions. What is data? Descriptive Statistics. Inferential Statistics

1.1 What is statistics? Data Collection Chapter 1 A science (bet you thought it was a math) of Collecting of data (Chap. 1) Organizing data (Chap. 2) Summarizing data (Chap. 2, 3) Analyzing data (Chap.

### Description and comparison of the methods of cluster sampling and lot quality assurance sampling to assess immunization coverage

WHO/V&B/01.26 ENGLISH ONLY DISTR.: GENERAL Description and comparison of the methods of cluster sampling and lot quality assurance sampling to assess immunization coverage Written by Stacy Hoshaw-Woodard,

### Need for Sampling. Very large populations Destructive testing Continuous production process

Chapter 4 Sampling and Estimation Need for Sampling Very large populations Destructive testing Continuous production process The objective of sampling is to draw a valid inference about a population. 4-

### PSI RESEARCH TOOLKIT. Sampling Strategies B UILDING R ESEARCH C APACITY

B UILDING R ESEARCH C APACITY PSI s Core Values Bottom Line Health Impact * Private Sector Speed and Efficiency * Decentralization, Innovation, and Entrepreneurship * Long-term Commitment to the People

### Experimental Design. How to Handle Confounding?

Controlled Experiment: Researchers assign treatment and control groups and examine any resulting changes in the response variable. (cause-and-effect conclusion) How to Handle Confounding? Controlled Experiments:

### THE JOINT HARMONISED EU PROGRAMME OF BUSINESS AND CONSUMER SURVEYS

THE JOINT HARMONISED EU PROGRAMME OF BUSINESS AND CONSUMER SURVEYS List of best practice for the conduct of business and consumer surveys 21 March 2014 Economic and Financial Affairs This document is written

### Educational Research - Chapter 4 Airasian and Gay

How could this have been avoided? Today General sampling issues Quantitative sampling Random Non-random Qualitative sampling In Other Words How many subjects are enough? Does it really matter how you choose

### DETERMINING SURVEY SAMPLE SIZE A SIMPLE PLAN

DETERMINING SURVEY SAMPLE SIZE A SIMPLE PLAN Prepared by Market Directions Market Directions B O S T O N 617-323-1862 800-475-9808 www.marketdirectionsmr.com info@marketdirectionsmr.com DETERMING SAMPLE

### Nonprobability Sample Designs. 1. Convenience samples 2. purposive or judgmental samples 3. snowball samples 4.quota samples

Nonprobability Sample Designs 1. Convenience samples 2. purposive or judgmental samples 3. snowball samples 4.quota samples Unrepresentative sample Some characteristics are overrepresented or underrepresented

### primary data (collect the data yourself) secondary data (use data collected by others)

Slide 3.1 Chapter 9: Data collection and sampling methods Data collection primary data (collect the data yourself) secondary data (use data collected by others) Examine secondary sources first paper sources

### A Manual for Selecting Sampling Techniques in Research

MPRA Munich Personal RePEc Archive A Manual for Selecting Sampling Techniques in Research Mohsin Alvi University of Karachi, Iqra University 23 March 2016 Online at https://mpra.ub.uni-muenchen.de/70218/

### Sampling: What is it? Quantitative Research Methods ENGL 5377 Spring 2007

Sampling: What is it? Quantitative Research Methods ENGL 5377 Spring 2007 Bobbie Latham March 8, 2007 Introduction In any research conducted, people, places, and things are studied. The opportunity to

### Methodology - Sampling

Methodology - Sampling Lecturer/Convenor: Richard Boateng, PhD. Email: richard@pearlrichards.org Office: UGBS RT18 (rooftop) Sampling Photo Illustrations from Getty Images www.gettyimages.com 1 Learning

### Literature Review of Sample Design and Methods

Literature Review of Sample Design and Methods Generally, a researcher employs sampling strategies in order to generate statistics and generalize findings to a larger population. Sampling refers to the

### SAMPLING SIZE DETERMINATION IN FARMER SURVEYS. ICRAF Research Support Unit. Technical Note 4. Ric Coe Version January 1996

ICRAF Research Support Unit Technical Note 4 SAMPLING SIZE DETERMINATION IN FARMER SURVEYS Ric Coe Version January 1996 ICRAF World Agroforestry Centre PO Box 30677, Nairobi, Kenya Telephone : +54 54 000

### Determining Sample Size 1

Fact Sheet PEOD-6 November 1992 Determining Sample Size 1 Glenn D. Israel 2 Perhaps the most frequently asked question concerning sampling is, "What size sample do I need?" The answer to this question

### As we saw in the previous chapter, statistical generalization requires a representative sample. Chapter 6. Sampling. Population or Universe

62 Part 2 / Basic Tools of Research: Sampling, Measurement, Distributions, and Descriptive Statistics Chapter 6 Sampling As we saw in the previous chapter, statistical generalization requires a representative

### Sampling. Signe Andersen Centre for Veterinary Epidemiological Research Atlantic Veterinary College University of Prince Edward Island

Sampling Signe Andersen Centre for Veterinary Epidemiological Research Atlantic Veterinary College University of Prince Edward Island Why think about sampling? Sample TOO LARGE Waste of time, money and

### SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Ch. 1 Introduction to Statistics 1.1 An Overview of Statistics 1 Distinguish Between a Population and a Sample Identify the population and the sample. survey of 1353 American households found that 18%

### Northumberland Knowledge

Northumberland Knowledge Know Guide How to Analyse Data - November 2012 - This page has been left blank 2 About this guide The Know Guides are a suite of documents that provide useful information about

### Steps in applying Probability Proportional to Size (PPS) and calculating Basic Probability Weights

Steps in applying Probability Proportional to Size (PPS) and calculating Basic Probability Weights First stage: PPS sampling larger clusters have bigger probability of being sampled Second stage: Sampling

### Sampling strategies *

UNITED NATIONS SECRETARIAT ESA/STAT/AC.93/2 Statistics Division 03 November 2003 Expert Group Meeting to Review the Draft Handbook on Designing of Household Sample Surveys 3-5 December 2003 English only

### Prof. Kate Calder. It may be impossible to collect information about every member of the population. Time Cost Convenience

Sampling Design The idea of sampling: We want to say something about a population - the entire group of individuals that we want information about. To get at this we take a sample - a part of the population

### Section 2.6. Survey Module. This module will guide you through the process of conducting surveys for your project.

Section 2.6 Survey Module This module will guide you through the process of conducting surveys for your project. THIS MODULE INCLUDES: Contents (Direct links clickable belo[abstract]w) Interactive Pages

### Techniques for data collection

Techniques for data collection Technical workshop on survey methodology: Enabling environment for sustainable enterprises in Indonesia Hotel Ibis Tamarin, Jakarta 4-6 May 2011 Presentation by Mohammed

### The American Panel Survey

Draft: To be updated in June Guide for Investigators The American Panel Survey Weidenbaum Center Washington University James L. Gibson and Steven S. Smith, Directors About The American Panel Survey (TAPS)

### Data Collection and Sampling OPRE 6301

Data Collection and Sampling OPRE 6301 Recall... Statistics is a tool for converting data into information: Statistics Data Information But where then does data come from? How is it gathered? How do we

### Do all the exercises by writing (unless otherwise specified).

EXERCISES: Do all the exercises by writing (unless otherwise specified). If an exercise asks you to state something, write it precisely and concisely with one sentence (unless otherwise specified, of course).

### Sampling Techniques Surveys and samples Source: http://www.deakin.edu.au/~agoodman/sci101/chap7.html

Sampling Techniques Surveys and samples Source: http://www.deakin.edu.au/~agoodman/sci101/chap7.html In this section you'll learn how sample surveys can be organised, and how samples can be chosen in such

### INTERNATIONAL STANDARD ON AUDITING 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS

INTERNATIONAL STANDARD ON AUDITING 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING (Effective for audits of financial statements for periods beginning on or after December 15, 2004) CONTENTS Paragraph Introduction...

### Statistical Methods 13 Sampling Techniques

community project encouraging academics to share statistics support resources All stcp resources are released under a Creative Commons licence Statistical Methods 13 Sampling Techniques Based on materials

### Survey Methodology. Eligible respondent. Sampling methodology

Survey Methodology The Pew Hispanic Center and the Pew Forum on Religion & Public Life conducted a public opinion survey among people of Latino background or descent on the topic of religion. The study

### ILO school-to-work transition survey: A methodological guide. Module 3. Sampling methodology

ILO school-to-work transition survey: A methodological guide ILO school-to-work transition survey: A methodological guide Sara Elder Youth Employment Programme International Labour Office Copyright International

### Chapter 19: Sampling

Chapter 19: Sampling Context................................................................... 2 Terminology................................................................ 3 Some basics 4 Population

### Table of Random Digits

Table of Random Digits A table can be given that represents a list of completely random digits it is essentially like picking from a hat Each entry is equally likely to be any digit The entries are independent

### Sampling Procedures Y520. Strategies for Educational Inquiry. Robert S Michael

Sampling Procedures Y520 Strategies for Educational Inquiry Robert S Michael RSMichael 2-1 Terms Population (or universe) The group to which inferences are made based on a sample drawn from the population.

### Manual. How large a Sample do we need SRS STRAT.xls. Guido Lüchters September 2006

Manual How large a Sample do we need SRS STRAT.xls Guido Lüchters September 2006 File: How large a Sample do we need SRS STRAT.doc Last save: Friday, 8. September 2006 How large a Sample do we need SRS

### Answer keys for Assignment 10: Measurement of study variables

Answer keys for Assignment 10: Measurement of study variables (The correct answer is underlined in bold text) 1. In a study, participants are asked to indicate the type of pet they have at home (ex: dog,

### OCCUPATIONS & WAGES REPORT

THE COMMONWEALTH OF THE BAHAMAS OCCUPATIONS & WAGES REPORT 2011 Department of Statistics Ministry of Finance P.O. Box N-3904 Nassau Bahamas Copyright THE DEPARTMENT OF STATISTICS BAHAMAS 2011 Short extracts

### Training Course on the Production of ICT Statistics on Households and Businesses. PART A: Statistics on Businesses and on the ICT sector

Training Course on the Production of ICT Statistics on Households and Businesses PART A: Statistics on Businesses and on the ICT sector MODULE B3: Designing an ICT business survey After completing this

### AP Statistics Chapters 11-12 Practice Problems MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

AP Statistics Chapters 11-12 Practice Problems Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Criticize the following simulation: A student

### Global Food Security Programme A survey of public attitudes

Global Food Security Programme A survey of public attitudes Contents 1. Executive Summary... 2 2. Introduction... 4 3. Results... 6 4. Appendix Demographics... 17 5. Appendix Sampling and weighting...

### SURVEY TYPES & SAMPLING TECHNIQUES USED IN MARKET RESEARCH

SURVEY TYPES & SAMPLING TECHNIQUES USED IN MARKET RESEARCH Martin van Staveren BMRB International Introduction How should potential respondents for a survey be selected? What methods and sources are available,

### INTERNATIONAL STANDARD ON AUDITING (UK AND IRELAND) 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS

INTERNATIONAL STANDARD ON AUDITING (UK AND IRELAND) 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS Paragraph Introduction... 1-2 Definitions... 3-12 Audit Evidence... 13-17 Risk Considerations

Research and Research Methods What we will cover: Formal vs. Informal Qualitative vs. Quantitative Primary vs. Secondary Focus Groups In-Depth Interviews Intercept Interviews 1 Research and Research Methods

### Sampling and Experimental Design

Stat 322/332/362 Sampling and Experimental Design Fall 2006 Lecture Notes Authors: Changbao Wu, Jiahua Chen Department of Statistics and Actuarial Science University of Waterloo Key Words: Analysis of