COM 633: Content Analysis Sampling and Units Kimberly A. Neuendorf, Ph.D. Cleveland State University Fall 2010.

Slides:

Advertisements

Similar presentations

Sampling: Final and Initial Sample Size Determination

Advertisements

Research Methods in MIS: Sampling Design

Taejin Jung, Ph.D. Week 8: Sampling Messages and People

MISUNDERSTOOD AND MISUSED

SOWK 6003 Social Work Research Week 8 Sampling By Dr. Paul Wong.

Topics: Inferential Statistics

Sampling-big picture Want to estimate a characteristic of population (population parameter). Estimate a corresponding sample statistic Sample must be representative.

Sampling and Sample Size Determination

Chapter 17 Additional Topics in Sampling

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.

ISSUES RELATED TO SAMPLING Why Sample? Probability vs. Non-Probability Samples Population of Interest Sampling Frame.

7/2/2015 (c) 2001, Ron S. Kenett, Ph.D.1 Sampling for Estimation Instructor: Ron S. Kenett Course Website:

Chapter 8 Selecting Research Participants. DEFINING A POPULATION BY A RANDOM NUMBERS TABLE  TABLE 8.1  Partial Page of a Random Numbers Table  ____________________________________________________________________________.

Sampling Design.

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.

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 IV Determining Sample Size III Testing Samples.

Chapter Outline  Populations and Sampling Frames  Types of Sampling Designs  Multistage Cluster Sampling  Probability Sampling in Review.

McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.

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.

Content Analysis: Sampling & Units Kimberly A. Neuendorf, Ph.D. Cleveland State University Fall 2011.

Foundations of Sociological Inquiry The Logic of Sampling.

Raymond Martin Lecture 7 – Sampling Data are collected to represent a population or study area. –A census is complete enumeration.

© 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey All Rights Reserved HLTH 300 Biostatistics for Public Health Practice, Raul.

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?

What are the Odds? Sampling Theory and Logic. Let’s Be Realistic… It’s unlikely you’ll be in a position to do much sampling in your daily work Important.

Sampling. Sampling Can’t talk to everybody Select some members of population of interest If sample is “representative” can generalize findings.

Basic Sampling & Review of Statistics. Basic Sampling What is a sample?  Selection of a subset of elements from a larger group of objects Why use a sample?

SAMPLING Obtaining a Sample From a Population. A CENSUS is a sample of an entire Population…. They are seldom done because….. 1. Impossible 2. Unprofitable.

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.

LECTURE 3 SAMPLING THEORY EPSY 640 Texas A&M University.

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.

Chapter 7 The Logic Of Sampling. Observation and Sampling Polls and other forms of social research rest on observations. The task of researchers is.

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.

McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Two THE DESIGN OF RESEARCH.

Qualitative and quantitative sampling. Who are they Black/Blue/Green/Red Thin/Bold Smiling/Normal/Sad                        

Business Project Nicos Rodosthenous PhD 04/11/ /11/20141Dr Nicos Rodosthenous.

Sampling Neuman and Robson Ch. 7 Qualitative and Quantitative Sampling.

Sampling distributions rule of thumb…. Some important points about sample distributions… If we obtain a sample that meets the rules of thumb, then…

Section 7-3 Estimating a Population Mean: σ Known.

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.

LIS 570 Selecting a Sample.

McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. SAMPLING Chapter 14.

INFO 271B LECTURE 9 COYE CHESHIRE Sampling. Agenda Info 271B 2 Non-probability Sampling Probability Sampling Probability Distributions.

SAMPLING Why sample? Practical consideration – limited budget, convenience, simplicity. Generalizability –representativeness, desire to establish the broadest.

Topics Semester I Descriptive statistics Time series Semester II Sampling Statistical Inference: Estimation, Hypothesis testing Relationships, casual models.

Sample Selection Osama A Samarkandi, PhD, RN BSc, GMD, BSN, MSN, NIAC EMS 423; EMS Research and Evidence Based Practice.

Types of Samples Dr. Sa’ed H. Zyoud.

Statistics in SPSS Lecture 5

Part Two THE DESIGN OF RESEARCH

Developing the Sampling Plan

Meeting-6 SAMPLING DESIGN

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-big picture Want to estimate a characteristic of population (population parameter). Estimate a corresponding sample statistic Sample must be representative.

MKT 416 Chapter 11: Sampling Design and Procedures

Sampling Design.

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

Sampling: How to Select a Few to Represent the Many

Presentation transcript:

COM 633: Content Analysis Sampling and Units Kimberly A. Neuendorf, Ph.D. Cleveland State University Fall 2010

Defining the Population Researcher fiat!? Let’s discuss. “The set of units to which the researcher wishes to generalize.” Is a full sampling frame available? (e.g., population may be defined by a NEXIS search)

Population & Sample PopulationSample The study of its unitsCensusSurvey, experiment, or content analysis The number of unitsNn A summary number about a variable and its distribution ParameterStatistic The mean of a variableµM or X-bar The standard deviation of a variable σsd The variance of a variable σ2σ2 sd 2

Units Weyls (2001); study of adult entertainment Lombard et al. (1996); study of TV production techniques Unit of sampling Unit of data collection Unit of analysis

Units Weyls (2001); study of adult entertainment Lombard et al. (1996); study of TV production techniques Unit of sampling News story Unit of data collection News story Unit of analysisYear

Units Weyls (2001); study of adult entertainment Lombard et al. (1996); study of TV production techniques Unit of sampling News storyTime, date, channel Unit of data collection News storyEpisode, time interval, etc. Unit of analysisYearEpisode, time interval, etc.

Units National Cancer Institutes (2003); study of news about mammography Janstova (2006); study of films by Jane Campion vs. others Unit of sampling Unit of data collection Unit of analysis

Units National Cancer Institutes (2003); study of news about mammography Janstova (2006); study of films by Jane Campion vs. others Unit of sampling News story Unit of data collection Story, attribution Unit of analysis News story

Units National Cancer Institutes (2003); study of news about mammography Janstova (2006); study of films by Jane Campion vs. others Unit of sampling News storyFilm Unit of data collection Story, attributionFilm, character, 5-min. interval Unit of analysis News storyFilm, character, 5-min. interval

Unitizing Unit—one decision rule might be to select the “smallest identifiable unit for which one can reliably code for the desired variables, thus providing maximal variance for these measures across the entire unit of sampling” (p. 72) Coder unitizing vs. a priori unitizing Unitizing reliability is necessary when coders unitize

Archives Unprecedented access to “archives” online! Comprehensive vs. Selective Electronic/online vs. non Free vs. costly

Medium Management Archiving messages Searching for messages Preparation of messages for coding/handling during coding Automated content analysis

Medium Management A changing area... More later in the term

Sampling Random or Probability Sampling Simple random sampling (SRS) Systematic sampling Cluster sampling Stratified sampling Multistage sampling

Sampling Non-probability (nonrandom) Sampling Convenience sampling Purposive or judgment sampling Quota sampling

Sample Size Rules of thumb At least 100 A “rich range” on the variables of interest Can use desired confidence interval to set sample size (but many formulae— Riffe, Lacy and colleagues have provided some examples)