Types of Control I. Measurement Control III. Experimental Control II. Statistical Control (Reliability and Validity) (Internal Validity) (External Validity)

Slides:



Advertisements
Similar presentations
Sampling Probability Sampling Nonprobability Sampling.
Advertisements

Population Sampling in Research PE 357. Participants? The research question will dictate the type of participants selected for the study Also need to.
MISUNDERSTOOD AND MISUSED
Topics: Inferential Statistics
DATA COLLECTION AND SAMPLING MKT525. DATA COLLECITON 4 Telephone 4 Mail 4 Panels 4 Personal Interviews 4 Internet.
Sampling-big picture Want to estimate a characteristic of population (population parameter). Estimate a corresponding sample statistic Sample must be representative.
Chapter 17 Additional Topics in Sampling
Research Methods Chapter 5: Sampling. Sampling Purpose: To draw enough of something to make your findings generalizable Purpose: To draw enough of something.
Sampling; Experiments. Sampling  Logic: representative sampling  Sample should have the same variations existing in the larger population  Biased samples.
Welcome to class of Sampling - Dr. Satyendra Singh.
Sampling and Experimental Control Goals of clinical research is to make generalizations beyond the individual studied to others with similar conditions.
Chapter 5 Designing Valid Communication Research.
7-1 Chapter Seven SAMPLING DESIGN. 7-2 Sampling What is it? –Drawing a conclusion about the entire population from selection of limited elements in a.
Statistical Methods Descriptive Statistics Inferential Statistics Collecting and describing data. Making decisions based on sample data.
Chapter 8 Selecting Research Participants. DEFINING A POPULATION BY A RANDOM NUMBERS TABLE  TABLE 8.1  Partial Page of a Random Numbers Table  ____________________________________________________________________________.
Need estimates of prevalence? Need to establish causality? EXPERIMENT Yes Objective answers by asking? No Yes SURVEY Good Poor Understanding of problem?
“There are three types of lies: Lies, Damn Lies and Statistics” - Mark Twain.
Variables and Measurement (2.1) Variable - Characteristic that takes on varying levels among subjects –Qualitative - Levels are unordered categories (referred.
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.
Sampling Concepts Population: Population refers to any group of people or objects that form the subject of study in a particular survey and are similar.
I The Vocabulary of Sampling Statistical Control - Sampling II Types of Samples IV Determining Sample Size III Testing Samples.
Sampling Design & Sampling Procedures Chapter 12.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
International marketing 2 Tutorial week 3 International marketing research.
Sampling January 9, Cardinal Rule of Sampling Never sample on the dependent variable! –Example: if you are interested in studying factors that lead.
Sampling Basics Jeremy Kees, Ph.D.. Conceptually defined… Sampling is the process of selecting units from a population of interest so that by studying.
Chapter 13 Data Sources, Sampling, and Data Collection.
Raymond Martin Lecture 7 – Sampling Data are collected to represent a population or study area. –A census is complete enumeration.
Chap 20-1 Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chapter 20 Sampling: Additional Topics in Sampling Statistics for Business.
Introducing Communication Research 2e © 2014 SAGE Publications Chapter Eight Sampling: Who, What and How Many?
4.4 Statistics Notes What are Other Ways to Conduct Experimental and Observational Studies?
Sampling Methods.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Two THE DESIGN OF RESEARCH.
Sampling “Sampling is the process of choosing sample which is a group of people, items and objects. That are taken from population for measurement and.
The Logic of Sampling. Methods of Sampling Nonprobability samplesNonprobability samples –Used often in Qualitative Research Probability or random samplesProbability.
Week #12 Assignment For your Week #12 assignment, you will write your Methods and Results Chapters for your descriptive statistics.
Math IIIWarm Up 4/3/14 1.What are the differences between the 4 types of sampling? 2.What are the 2 types of studies and how are they defined?
Learning Objectives Explain the role of sampling in the research process Distinguish between probability and nonprobability sampling Understand the factors.
7: Sampling Theory and Methods. 7-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials.
Sampling Methods, Sample Size, and Study Power
Sampling & Sampling Designs. Concepts Population Sampling frame Sample Sampling unit Sampling Census.
Chapter 10 Sampling: Theories, Designs and Plans.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 7 Sampling, Significance Levels, and Hypothesis Testing Three scientific traditions.
Collection of Data Jim Bohan
McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. SAMPLING Chapter 14.
Chapter 6 Conducting & Reading Research Baumgartner et al Chapter 6 Selection of Research Participants: Sampling Procedures.
INFO 271B LECTURE 9 COYE CHESHIRE Sampling. Agenda Info 271B 2 Non-probability Sampling Probability Sampling Probability Distributions.
Copyright © 2011, 2005, 1998, 1993 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 13: Boundary Setting in Experimental-Type Designs A deductive.
Topics Semester I Descriptive statistics Time series Semester II Sampling Statistical Inference: Estimation, Hypothesis testing Relationships, casual models.
Types of method Quantitative: – Questionnaires – Experimental designs Qualitative: – Interviews – Focus groups – Observation Triangulation.
Probability in Sampling. Key Concepts l Statistical terms in sampling l Sampling error l The sampling distribution.
Sampling Class 7. Goals of Sampling Representation of a population Representation of a population Representation of a specific phenomenon or behavior.
Sample Selection Osama A Samarkandi, PhD, RN BSc, GMD, BSN, MSN, NIAC EMS 423; EMS Research and Evidence Based Practice.
MATH Section 7.2.
Pick up a warm up from the front!
Part Two THE DESIGN OF RESEARCH
Instructor’s manual Mass Media Research: An Introduction, 7th Edition
Developing the Sampling Plan
Meeting-6 SAMPLING DESIGN
Sociological Research Methods
محيط پژوهش محيط پژوهش كه قلمرو مكاني نيز ناميده مي شود عبارت است از مكاني كه نمونه هاي آماري مورد مطالعه از آنجا گرفته مي شود .
Sampling Population – any well-defined set of units of analysis; the group to which our theories apply Sample – any subset of units collected in some manner.
جمعیت –نمونه –روشهای نمونه گیری دکتر محسن عسکرشاهی دکترای آمار زيستی
أدوات البحث العلمي: العينات
Types of Control I. Measurement Control II. Statistical Control
نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی
Social Research Methods MAN-10 Erlan Bakiev, Ph. D
Sampling Methods.
Sampling Techniques Statistics.
Presentation transcript:

Types of Control I. Measurement Control III. Experimental Control II. Statistical Control (Reliability and Validity) (Internal Validity) (External Validity)

I The Vocabulary of Sampling Statistical Control - Sampling II Types of Samples III Determining Sample Size

I. The Vocabulary of Sampling Statistical Control- Sampling A. The Universe(The Theoretical Concept) B. The Population(The Indicator Concept) C. The Sampling Frame(The Operational Procedure) D. The Sample(The Observational Set)

Statistical Control- Sampling II. Types of Samples A. Non-Probability B. Probability

Statistical Control- Sampling II. Types of Samples A. Non-Probability 1. Convenience Sampling 2. Referral Sampling 3. Quota Sampling (Good for Exploratory Research)

Statistical Control- Sampling II. Types of Samples B. Probability 1. Simple Random Sample 2. Systematic Random Sample 3. Stratified Random Sample 4. Cluster or Area Sample (Good for Explanatory Research)

IV. Sample Size Statistical Control- Sampling A. Error in Prediction (Three Components) B. Confidence Level C. Variability in Population

Determining Sample Size Observe now the three parentheses that define N: 1) our confidence level (z); 2) the population variance; and 3) the margin of error. Consider the confidence interval Solving for the sample size N we get IfThen