Chapter Fifteen Chapter 15.

Slides:



Advertisements
Similar presentations
Chapter Fourteen Data Preparation 14-1 © 2007 Prentice Hall.
Advertisements

© 2009 Pearson Education, Inc publishing as Prentice Hall 15-1 Data Preparation and Analysis Strategy Chapter 15.
Chapter Ten. Figure 10.1 Relationship of Noncomparative Scaling to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship.
Chapter Fifteen Chapter 15.
Chapter Fourteen Chapter Fourteen.
Chapter Fourtee n. Figure 14.1 Relationship of Field Work to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship.
Chapter Fourtee n. OPENING QUESTIONS What is meant by field work and what is the field work process? In what aspects of interviewing should field workers.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
Chapter Fourteen Data Preparation.
INTERPRET MARKETING INFORMATION TO TEST HYPOTHESES AND/OR TO RESOLVE ISSUES. INDICATOR 3.05.
Data Preparation © 2007 Prentice Hall 14-1.
Business Research Methods 13. Data Preparation July 2, 20151Dr. Basim Mkahool.
Creating Research proposal. What is a Marketing or Business Research Proposal? “A plan that offers ideas for conducting research”. “A marketing research.
Quantifying Data.
Chapter Sixteen Starting the Data Analysis Winston Jackson and Norine Verberg Methods: Doing Social Research, 4e.
© 2009 Pearson Education, Inc publishing as Prentice Hall 14-1 Chapter 14 Field Work: Data Collection.
Chapter XIV Data Preparation.
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 15.
15-1 Data Preparation and Analysis Strategy Chapter 15.
Chapter Fourteen Data Preparation
Chapter Sixteen Starting the Data Analysis Angel Gillis & Winston Jackson Research for Nurses: Research for Nurses: Methods and Interpretation.
Research Methodology Lecture No : 21 Data Preparation and Data Entry.
King Fahd University of Petroleum & Minerals Department of Management and Marketing MKT 345 Marketing Research Dr. Alhassan G. Abdul-Muhmin Editing and.
Quantifying Data Advanced Social Research (soci5013)
Chapter Fourteen Data Preparation 14-1 Copyright © 2010 Pearson Education, Inc.
Chapter 19 Editing and Coding: Transforming Raw Data into Information © 2010 South-Western/Cengage Learning. All rights reserved. May not be scanned, copied.
Chapter Three. Figure 3.1. Relationship of Research Design to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship.
Data Analysis: Preliminary Steps
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 16.
OPENING QUESTIONS 1.What key concepts and symbols are pertinent to sampling? 2.How are the sampling distribution, statistical inference, and standard.
DATA PREPARATION: PROCESSING & MANAGEMENT Lu Ann Aday, Ph.D. The University of Texas School of Public Health.
Data Analysis.
What have we learned?. What is a database? An organized collection of related data.
Chapter Fifteen. Preliminary Plan of Data Analysis Questionnaire Checking Editing Coding Transcribing Data Cleaning Selecting a Data Analysis Strategy.
Chapter Fifteen Chapter 15.
RESEARCH METHODS Lecture 29. DATA ANALYSIS Data Analysis Data processing and analysis is part of research design – decisions already made. During analysis.
Dr. Michael R. Hyman, NMSU Data Preparation. 2 File, Record, and Field.
Chapter Twelve. Figure 12.1 Relationship of Sampling Design to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship.
Chapter SixteenChapter Sixteen. Figure 16.1 Relationship of Frequency Distribution, Hypothesis Testing and Cross-Tabulation to the Previous Chapters and.
Chapter XIV Data Preparation and Basic Data Analysis.
TIMOTHY SERVINSKY PROJECT MANAGER CENTER FOR SURVEY RESEARCH Data Preparation: An Introduction to Getting Data Ready for Analysis.
© 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.
Data Preparation 14-1.
Chapter Ten. Figure 10.1 Relationship of Noncomparative Scaling to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship.
Data Preparation for Analysis Chapter 11. Editing “The inspection and correction of the data received from each element of the sample.” “The inspection.
Chapter Fourteen Data Preparation 14-1 Copyright © 2010 Pearson Education, Inc.
1-1 vddf1 Chapter One Introduction to Marketing Research.
Chapter Fourteen Data Preparation 14-1 Copyright © 2010 Pearson Education, Inc.
Chapter Fourteen Data Preparation
Introduction to Marketing Research
Chapter Fourteen Data Preparation.
Business Research Methods
Chapter Fourteen Data Preparation.
Chapter Nine Chapter 9.
Chapter Eleven Chapter 11.
Basic Marketing Research Customer Insights and Managerial Action
Chapter Six Chapter Six.
Chapter Thirteen Chapter 13.
Chapter Seven Chapter Seven.
Warm up – Unit 4 Test – Financial Analysis
Chapter Fourteen Data Preparation
Chapter Two Chapter Two.
Chapter Four Chapter Four.
Chapter Fourteen Data Preparation.
14 Data Preparation Afjal Hossain, Assistant Professor.
Data Preparation (Click icon for audio) Dr. Michael R. Hyman, NMSU.
Chapter Fourteen Data Preparation.
Chapter Nineteen Chapter 19.
Indicator 3.05 Interpret marketing information to test hypotheses and/or to resolve issues.
Chapter Eight Chapter 8.
Presentation transcript:

Chapter Fifteen Chapter 15

Relationship to Marketing Figure 15.1 Relationship of Data Preparation to the Previous Chapters and the Marketing Research Process Focus of This Chapter Relationship to Previous Chapters Relationship to Marketing Research Process Preparing Data for Analysis Marketing Research Process (Chapter 1) Research Design Components (Chapter 3) Problem Definition Approach to Problem Figure 15.1 Relationship to the Previous Chapters & The Marketing Research Process Research Design Field Work Data Preparation and Analysis Report Preparation and Presentation

Figure 15.2 Data Preparation: An Overview Opening Vignette The Data Preparation Process Fig 15.3 Questionnaire Checking and Editing Fig 15.4 Coding Internet Applications Focus on Elrick & Lavidge Fig 15.5 Transcribing Fig 15.6 Data Cleaning Selecting Data Analysis Strategy Fig 15.7 Application to Contemporary Issues TQM International Technology Ethics

Figure 15.3 Data Preparation Process Preliminary Plan of Data Analysis Figure 15.3 Data Preparation Process Questionnaire Checking Editing Coding Transcribing Data Cleaning Selecting a Data Analysis Strategy

Figure 15.4 Treatment of Unsatisfactory Responses Return to the Field Assign Missing Values Discard Unsatisfactory Respondents Substitute a Neutral Value Casewise Deletion Pairwise Deletion

Figure 15.5 A Codebook Excerpt Column Number 1-3 4 5-6 7-8 9-14 15-20 21-22 23-24 25 26 27 28 35 Variable Number 1 2 3 4 5 6 7 8 9 10 11 18 Variable Name Respondent ID Record Number Project Code Interview Code date Code Time Code Validation Code Blank Who shops Familiarity with store 1 Familiarity with store 2 Familiarity with store 3 Familiarity with store 10 Question Number I IIa IIb IIc IIj Coding Instructions 001 to 890 add leading zeros as necessary 1 (same for all respondents) 31 (same for all respondents) As coded on the questionnaire Leave these columns blank Male head =1 Female head =2 Other =3 Punch the number circled Missing values =9 For question II parts a through j Not so familiar =1 Very familiar =6 Missing Values =9

Figure 15.6 Data Transcription Raw Data Figure 15.6 Data Transcription CATI/ CAPI Key Punching via CRT Terminal Mark Sense Forms Optical Scanning Computerized Sensory Analysis Verification: Correct Key Punching Errors Computer Memory Disks Magnetic Tapes Transcribed Data

Figure 15.7 Selecting A Data Analysis Strategy Earlier Steps(1, 2, 3) of the Marketing Research Process Known Characteristics of Data Properties of Statistical Techniques Background & Philosophy of the Researcher Data Analysis Strategy Figure 15.7 Selecting A Data Analysis Strategy

Table 15.1 Illustrative Computer File: Department Store Patronage Project