1a. How many years have you been playing tennis on a regular basis? Number of years: __________ b. What is your level of play? Novice...............

Slides:



Advertisements
Similar presentations
SURVEY QUALITY CONTROL
Advertisements

Multiple Indicator Cluster Surveys MICS3 Regional Training Workshop Survey Techniques.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Field Staff and Field Procedures.
Chapter Thirteen Fieldwork 13-1 © 2007 Prentice Hall.
Preparing Data for Quantitative Analysis
1 Zambia Malaria Indicator Survey 2010 “What to do” of the MIS Supervisor.
Business Research Methods William G. Zikmund
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Data Processing, Fundamental Data Analysis, and Statistical Testing of Differences CHAPTER.
1 QUANTITATIVE DESIGN AND ANALYSIS MARK 2048 Instructor: Armand Gervais
Chapter Fourteen Chapter Fourteen.
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.
1 Fieldwork Roles & Responsibilities Adapted from Multiple Indicator Cluster Surveys (MICS) Regional Training Workshop – Survey Techniques, Unicef.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
INTERPRET MARKETING INFORMATION TO TEST HYPOTHESES AND/OR TO RESOLVE ISSUES. INDICATOR 3.05.
Dr. Michael R. Hyman, NMSU Questionnaire Design. 2.
Business Research Methods
RESEARCH METHODS Lecture 25. INTERVIEWING Fieldworker.
Dr. Michael R. Hyman, NMSU Fieldwork (Click icon for audio)
Learning Objective Chapter 13 Data Processing, Basic Data Analysis, and Statistical Testing of Differences CHAPTER thirteen Data Processing, Basic Data.
Fieldwork. The Nature of Fieldwork  Researchers have two major options for collecting data:  Developing their own organizations or  Contracting with.
© 2009 Pearson Education, Inc publishing as Prentice Hall 14-1 Chapter 14 Field Work: Data Collection.
Harpreet RIMT-IMCT Chapter Thirteen Fieldwork Harpreet RIMT-IMCT Fieldwork/Data Collection Process Fig Selecting Field WorkersTraining Field.
Copyright © 2008 by Nelson, a division of Thomson Canada Limited DATA COLLECTION AND PREPARATION FOR DATA ANALYSIS Chapter 16 Part 4 Sampling and Data.
Chapter Twelve Data Processing, Fundamental Data Analysis, and the Statistical Testing of Differences Chapter Twelve.
Data Processing, Fundamental Data
Business Research Methods William G. Zikmund
Exploring Marketing Research William G. Zikmund Chapter 15: Questionnaire Design.
Data Editing and Coding. DATA ANALYSIS EDITING Stages of Data Analysis ERROR CHECKING AND VERIFICATION DATA ENTRY CODING.
29 August 2005MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan1 RESEARCH METHODOLOGY (Business Research Methods) Week 12.
Copyright 2010, The World Bank Group. All Rights Reserved. Data Processing and Tabulation, Part I.
Chapter Thirteen Validation & Editing Coding Machine Cleaning of Data Tabulation & Statistical Analysis Data Entry Overview of the Data Analysis.
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.
Field Work. Chapter Outline Chapter Outline 1) Overview 2) The Nature of Field Work 3) Field Work/ Data collection Process 4) Selection of Field Workers.
Chapter 19 Editing and Coding: Transforming Raw Data into Information © 2010 South-Western/Cengage Learning. All rights reserved. May not be scanned, copied.
Copyright © 2000 by Harcourt, Inc. All rights reserved. Business Research Methods William G. Zikmund Chapter 15: Questionnaire Design.
DATA PREPARATION: PROCESSING & MANAGEMENT Lu Ann Aday, Ph.D. The University of Texas School of Public Health.
Data Analysis.
Chapter Twelve Copyright © 2006 John Wiley & Sons, Inc. Data Processing, Fundamental Data Analysis, and Statistical Testing of Differences.
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.
Business Research Methods William G. Zikmund Chapter 18: Fieldwork.
The Marketing Research Process Overview. Learning Objectives  To learn the steps in the marketing research process.  To understand how the steps in.
13 Data Processing and Fundamental Data Analysis.
Preparing Data for Quantitative Analysis Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Business Research Methods William G. Zikmund Chapter 19: Editing and Coding.
Chapter Thirteen Fieldwork 13-1 Copyright © 2010 Pearson Education, Inc.
1 Chapter 13 Collecting the Data: Field Procedures and Nonsampling Error © 2005 Thomson/South-Western.
Data Processing, Fundamental Data Analysis, and the Statistical Testing of Differences Chapter Twelve.
Data Preparation and Description Lecture 24 th. Recap If you intend to undertake quantitative analysis consider the following: type of data (scale of.
Data Preparation for Analysis Chapter 11. Editing “The inspection and correction of the data received from each element of the sample.” “The inspection.
6/24/2016 Marketing Research 1. 6/24/2016Marketing Research2 DATA ANALYSIS DATA ENTRY ERROR CHECKING AND VERIFICATION CODING EDITING.
Chapter Fourteen Copyright © 2004 John Wiley & Sons, Inc. Data Processing and Fundamental Data Analysis.
Business Research Methods William G. Zikmund
CHAPTER 13 Data Processing, Basic Data Analysis, and the Statistical Testing Of Differences Copyright © 2000 by John Wiley & Sons, Inc.
13 Fieldwork Afjal Hossain, Assistant Professor.
Chapter Thirteen Fieldwork Copyright © 2010 Pearson Education, Inc.
Exploring Marketing Research William G. Zikmund
Chapter Thirteen Fieldwork
Business Research Methods
Chapter Thirteen Fieldwork Copyright © 2010 Pearson Education, Inc.
Chapter Fourteen Chapter Fourteen.
Marketing Research and Consumer Behavior Insights
Data Processing, Basic Data Analysis, and the
Data Preparation (Click icon for audio) Dr. Michael R. Hyman, NMSU.
13 Fieldwork Afjal Hossain, Assistant Professor.
Multi-Mode Data Collection
Presentation transcript:

1a. How many years have you been playing tennis on a regular basis? Number of years: __________ b. What is your level of play? Novice Advanced Lower Intermediate Expert Upper Intermediate Teaching Pro c. In the last 12 months, has your level of play improved, remained the same or decreased? Improved Decreased Remained the same

2a. Do you belong to a club with tennis facilities?Yes No b. How many people in your household - including yourself - play tennis? Number who play tennis ___________ 3a. Why do you play tennis? (Please “X” all that apply.) To have fun To stay fit To be with friends To improve my game...-4 To compete To win b. In the past 12 months, have you purchased any tennis instructional books or video tapes?Yes No

Data Entry The process of transforming data from the research project to computers. Optical scanning systems –Marked-sensed questionnaires

Recode Recoding is the process of using a computer to convert original cods used for raw data to codes that are more suitable for analysis. Var1 = 8 - Var1

Error Checking and Verification Data cleaning

To get an overview of the data analysis procedure. The Data Analysis Procedure Five Step Procedure for Data Analysis: Step One: Validation and editing (quality control) Step Two: Coding Step Three: Data Entry Step Four: Machine Cleaning of Data Step Five: Tabulation and Statistical Analysis

Validation The process of ascertaining that interviews actually were conducted as specified. Editing Checking for interviewer mistakes 1. Did the interviewer ask or record answers for certain questions? 2. Questionnaires are checked to make sure Skip patterns are followed. 3. Responses to open-ended responses are checked. To understand the importance and nature of quality control checks. Validation and Editing

Coding Defined Grouping and assigning numeric codes to the responses The Coding Process 1. Listing responses 2. Consolidating responses 3. Setting codes 4. Entering codes To understand the data-entry process and data-entry alternatives. Coding

Intelligent Data Entry The checking of information being entered for internal logic by either that data entry device or another device connected to it. The Data Entry Process The mechanics of the process. The validated, edited, and coded questionnaires are given to a data entry operator. The process of going directly from the questionnaire to the data entry device and storage medium is more accurate and efficient. Data Entry To understand the data-entry process and data-entry alternatives.

Optical Scanning A data processing device that can “read”response questionnaires Optical Scanning To understand the data-entry process and data-entry alternatives. Machine Cleaning of Data A final computerized error check of data. Marginal Report A computer-generated table of the frequencies of the responses to each question to monitor entry of valid codes and correct use of skip patterns.

Who Conducts Fieldwork? FIELD-WORKERS FIELD INTERVIEWING SERVICE IN-HOUSEINTERVIEWERS BRIEFING SESSIONSBRIEFING SESSIONS

In-House Training MAKING INITIAL CONTACT PROBING RECORDINGRESPONSES ASKINGQUESTIONS TERMINATINGINTERVIEWS

Making Initial Contact and Securing the Interview “Good afternoon, my name is…” Foot-in-the-door Door-in-the-face

Asking the Questions Exactly as worded Read slowly Questions in the proper order Ask every question Repeat questions that are not understood

Probing Verbal attempts made by a field-worker when the respondent must be motivated to communicate his or her answers more fully Probes enlarge and clarify

SILENTPROBE REPEAT REPLY NEUTRALQUESTION REPEAT QUESTION Probing Tactics

Recording the Response

Terminating the Interview How to close interview and exit household is important Reinterviewing may be required

Fieldwork Management Select Train Supervise Control

Interviewer Cheating Filling in fake answers or falsifying interviews Verification by reinterview