RESEARCH METHODS Lecture 27

Slides:



Advertisements
Similar presentations
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Advertisements

MKTG 3342 Fall 2008 Professor Edward Fox
Sample Design (Click icon for audio) Dr. Michael R. Hyman, NMSU.
Sampling.
SAMPLING Chapter 7. DESIGNING A SAMPLING STRATEGY The major interest in sampling has to do with the generalizability of a research study’s findings Sampling.
Sampling ADV 3500 Fall 2007 Chunsik Lee. A sample is some part of a larger body specifically selected to represent the whole. Sampling is the process.
Exploring Marketing Research William G. Zikmund
Sampling Methods.
Sampling Designs and Sampling Procedures
Sampling Methods Assist. Prof. E. Çiğdem Kaspar,Ph.D.
Learning Objective Chapter 11 Basic Sampling Issues CHAPTER eleven Basic Sampling Issues Copyright © 2000 by John Wiley & Sons, Inc.
University of Central Florida
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 13.
Sampling January 9, Cardinal Rule of Sampling Never sample on the dependent variable! –Example: if you are interested in studying factors that lead.
Sampling. Concerns 1)Representativeness of the Sample: Does the sample accurately portray the population from which it is drawn 2)Time and Change: Was.
Sampling Distribution
CHAPTER 12 – SAMPLING DESIGNS AND SAMPLING PROCEDURES Zikmund & Babin Essentials of Marketing Research – 5 th Edition © 2013 Cengage Learning. All Rights.
Sampling Methods in Quantitative and Qualitative Research
SAMPLING.
7-1 Chapter Seven SAMPLING DESIGN. 7-2 Selection of Elements Population Element the individual subject on which the measurement is taken; e.g., the population.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Basic Sampling Issues CHAPTER Ten.
CHAPTER 12 DETERMINING THE SAMPLE PLAN. Important Topics of This Chapter Differences between population and sample. Sampling frame and frame error. Developing.
1 Hair, Babin, Money & Samouel, Essentials of Business Research, Wiley, Learning Objectives: 1.Understand the key principles in sampling. 2.Appreciate.
Sampling Methods.
The Logic of Sampling. Methods of Sampling Nonprobability samplesNonprobability samples –Used often in Qualitative Research Probability or random samplesProbability.
Population and sample. Population: are complete sets of people or objects or events that posses some common characteristic of interest to the researcher.
1 UNIT 10: POPULATION AND SAMPLE. 2 Population The entire set of people, things or objects to be studied An element is a single member of the population.
Tahir Mahmood Lecturer Department of Statistics. Outlines: E xplain the role of sampling in the research process D istinguish between probability and.
Qualitative and quantitative sampling. Who are they Black/Blue/Green/Red Thin/Bold Smiling/Normal/Sad                        
Sampling Neuman and Robson Ch. 7 Qualitative and Quantitative Sampling.
RESEARCH METHODS Lecture 27. NONPROBABILITY AND PROBABILITYSAMPLING.
Chapter Ten Copyright © 2006 John Wiley & Sons, Inc. Basic Sampling Issues.
Essentials of Marketing Research Chapter 12: Sampling Designs and Sampling Procedures.
Sampling Design A population: is the entire aggregation of cases that meets a designated set of criteria.  Eligibility criteria (delimitation): the criteria.
Types of method Quantitative: – Questionnaires – Experimental designs Qualitative: – Interviews – Focus groups – Observation Triangulation.
Sampling. Census and Sample (defined) A census is based on every member of the population of interest in a research project A sample is a subset of the.
Sampling Chapter 5. Introduction Sampling The process of drawing a number of individual cases from a larger population A way to learn about a larger population.
Discrete Math Section 17.5 Recognized types of sampling procedures and estimate population characteristics based on samples The purpose of sampling is.
Lecture 5.  It is done to ensure the questions asked would generate the data that would answer the research questions n research objectives  The respondents.
Important statistical terms Population: a set which includes all measurements of interest to the researcher (The collection of all responses, measurements,
ThiQar college of Medicine Family & Community medicine dept
Module 9: Choosing the Sampling Strategy
Sampling: Probability Vs Non-Probability
Chapter Ten Basic Sampling Issues Chapter Ten.
Sampling Chapter 5.
Sampling.
Evidence Based Practice & Research in Nursing
Research Sampling Procedures, Methods, & Issues
Sampling Procedures Cs 12
Essentials of Marketing Research William G. Zikmund
Sampling Designs and Sampling Procedures
INTERVIEWING.
Developing the Sampling Plan
Population and samples
4 Sampling.
Meeting-6 SAMPLING DESIGN
Sampling: Design and Procedures
Welcome.
Basic Sampling Issues.
Sampling Design.
Sampling techniques & sample size.
Types of Control I. Measurement Control II. Statistical Control
نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی
Sampling.
CHAPTER eleven Basic Sampling Issues
Sampling Design Basic concept
Sampling Methods.
BUSINESS MARKET RESEARCH
NON -PROBABILITY SAMPLING
Presentation transcript:

RESEARCH METHODS Lecture 27

NONPROBABILITY AND PROBABILITYSAMPLING

Major Alternatives to Sampling Probability Non-probability

Probability Every element in the population has a known nonzero probability of selection. Used when representativeness is crucial for wider gerenalizability. Can measure sampling error.

Non-Probability Probability of any element being chosen is unknown. Arbitrary – personal judgment. Time and other factors more crucial than generalizability. Cannot measure sampling error. Projecting data beyond sample is statistically inappropriate.

Types of Non-Probability Sampling

Convenience Sampling Also called haphazard or accidental or grab sampling. Obtaining units who are most conveniently available. Person-on-the street interviewed by TV people. Personal judgment. May not be representative. Least reliable. Used during exploratory phase

Purposive Sampling Researcher lays down the criteria for the subjects. Also called as judgmental or expert opinion sample. Selection depends upon the judgment of selector.

Quota Sampling Procedure that ensures certain characteristics of a population sample will be represented. Fix the quota. Use convenience sampling. Fieldworker bias in selection.

Can be considered as proportionate stratified sampling – but on convenience basis Speed of data collection, lower cost, and convenience. Ensures the inclusion of a subset when it is under-represented.

Snowball Sampling Also called: network, chain referral, or reputational sampling. Analogy of snowball. Begins with one/few, spreads out on the basis of links. Useful where respondents are difficult to identify.

Sequential Sampling Similar to purposive sampling. In purposive – get every possible case. In sequential – continuous evaluation of data. Stop when no new information is coming.

Theoretical Sampling Researcher selects cases based on his own insight. Used in observational studies

RESEARCH METHODS Lecture 27