How to use your Data…. Qualitative Research Analysis Transcribe audio or video tapes. Carefully and Individually review the written statements and visuals.

Slides:



Advertisements
Similar presentations
QUESTIONNAIRES IN QUALITATIVE RESEARCH
Advertisements

Conducting the Interview/Survey
© 2009 Pearson Education, Inc publishing as Prentice Hall 15-1 Data Preparation and Analysis Strategy Chapter 15.
Conducting Interviews
Chapter Fifteen Chapter 15.
How do I summarize and make sense of all these words?
1 Sources:  SusanTurner - Napier University  C. Robson, Real World Research, Blackwell, 1993  Steve Collesano: Director, Corporate Research and Development.
Chapter Fourteen Data Preparation.
Qualitative Research Qualitative research involves collecting, analyzing, and interpreting data that cannot be meaningfully quantified, that is, summarized.
Developing a Questionnaire. Goals Discuss asking the right questions in the right way as part of an epidemiologic study. Review the steps for creating.
Data Preparation © 2007 Prentice Hall 14-1.
Business Research Methods 13. Data Preparation July 2, 20151Dr. Basim Mkahool.
University of Wisconsin - Extension, Cooperative Extension, Program Development and Evaluation Unit 6: Analyzing and interpreting data “There’s a world.
1 Evaluation. 2 Evaluating The Organization Effective evaluation begins at the organizational level. It starts with a strategic plan that has been carefully.
9: Designing the Questionnaire. 9-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials.
Business and Management Research
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 15.
McGraw-Hill/Irwin © 2004 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 9 Processing the Data.
15-1 Data Preparation and Analysis Strategy Chapter 15.
Chapter Fourteen Data Preparation
Designing the Questionnaire Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
STUDENTS BECOME HISTORIANS WHEN THEY DO THE HISTORY FAIR YOU ask a historical question that you want to answer. YOU do research using books by historians.
Prepared by: Liyana Binti Ahmad Afip Student ID: Prepared for: Associate Professor Dr. Hj Izaham Shah Ismail.
Chapter 11: Qualitative and Mixed-Method Research Design
How to create a Resume And other stuff you should care about even though you may not yet.
Research Methodology Lecture No : 21 Data Preparation and Data Entry.
COMM 250 Agenda - Week 6 Housekeeping Today: C1 (put in Folders) TP2 – See your folders Monday: RAT2 Lecture Surveys: Demographic, Scale items ITE3 –
Chapter Fourteen Data Preparation 14-1 Copyright © 2010 Pearson Education, Inc.
Slide 1 Requirements Determination Chapter 5. Slide 2 Objectives ■ Understand how to create a requirements definition. ■ Become familiar with requirements.
Data Analysis.
1 © 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation How do I summarize and make sense of all these words?
Survey Methodology Survey Instruments (1) EPID 626 Lecture 7.
Chapter Fifteen. Preliminary Plan of Data Analysis Questionnaire Checking Editing Coding Transcribing Data Cleaning Selecting a Data Analysis Strategy.
Chapter Fifteen Chapter 15.
Market Research. A.K.A…… Primary research can also be known as FIELD research Secondary research can also be known as DESK research.
Questionnaires How to gain relevant/useful information using the self report technique.
Designing a Questionnaire. Major Function of a Questionnaire –Translating the research objectives into specific questions Iterative Process –A good.
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved.
QUALITATIVE RESEARCH METHODS
13 Data Processing and Fundamental Data Analysis.
Creating a Marketing Plan Module 1: Competing in the Marketplace.
Data Preparation 14-1.
Research Methodology & Design. Research: from theory to practice PhilosophyParadigm Theoretical approach Information collection approach Information collection.
Chapter 5: Research. Research is the most important to PR because it is used to... Achieve credibility with management Define audiences and segment publics.
2007 Pearson Education Canada1 Chapter 3: Marketing Research: Data Lesson 3 Marketing 11 pp
Lesson 11: Designing Research. Naturalistic Observation When designing a naturalistic observation researchers need to consider;  behavioural categories,
Research Methodology Lecture No :32 (Revision Chapters 8,9,10,11,SPSS)
Survey Training Pack Session 3 – Questionnaire Design.
Edexcel GCSE Business Studies © Pearson Education 2009 Chapter 2 Key terms Reveal the key term by clicking the forward arrow on your keyboard. Customer.
M ARKET R ESEARCH Topic 3.1. W HAT IS MARKET RESEARCH ? The process of gaining information about customers, products, competitors etc through the collection.
Chapter Fourteen Data Preparation 14-1 Copyright © 2010 Pearson Education, Inc.
Questionnaire Construction OVERVIEW: Creating clear questions Making it easy for participants Capturing responses well.
Building Capacity in Evaluating Outcomes Unit 6: Analyzing and interpreting data 1 “There’s a world of difference between truth and facts. Facts can obscure.
Learning objectives.
Q-Tee is the #1 supplier of Brackets, Mounts and Stands
Introduction to Marketing Research
System Analysis and Design Task 1- Explanation
High School Business How to Make it Rain?.
How to organize the Methodology Chapter (section)
Chapter Fourteen Data Preparation.
Research strategies & Methods of data collection
Business Research Methods
Chapter Fourteen Data Preparation.
Unit 6: Analyzing and interpreting data
Chapter Fourteen Data Preparation.
Do-It-Yourself Research
Data Preparation (Click icon for audio) Dr. Michael R. Hyman, NMSU.
Research strategies & Methods of data collection
Chapter Fourteen Data Preparation.
Presentation transcript:

How to use your Data…

Qualitative Research Analysis Transcribe audio or video tapes. Carefully and Individually review the written statements and visuals from interviews. As a group, discuss the main findings and summarize them (Always provide support to your claim through statements from the respondents)

14-3 Examples VP Marketing for the Montreal Canadiens (NHL) “It is the strongest sports brand in Canadian history…Our team represents the dreams and hopes of the people from Quebec…We have one of the nicest jerseys and logos in the NHL, Why would we change anything…”

14-4 Examples Sport Equipment manufacturer and distributor. «The team has not changed their jersey for years. This means no new offering to the fans: the jersey they bought ten years ago is still good today. Furthermore, not changing the team jersey that is associated with the glory of the past is not coherent with today’s team performance on the ice, what the brand stands for and who their primary target is. It is alright to emphasize nostalgia when you are targeting older customers, but not when you are approaching younger customers, as the team is»

Data Preparation (Quantitative Analysis)

14-6 Data Preparation Process Select Data Analysis Strategy Prepare Preliminary Plan of Data Analysis Check Questionnaire EditCodeTranscribeClean Data

14-7 Questionnaire Checking A questionnaire returned from the field may be unacceptable for several reasons. Parts of the questionnaire may be incomplete. The pattern of responses may indicate that the respondent did not understand or follow the instructions. The responses show little variance. One or more pages are missing. The questionnaire is received after the preestablished cutoff date. The questionnaire is answered by someone who does not qualify for participation.

14-8 Coding Coding means assigning a code, usually a number, to each possible response to each question. If possible, standard codes should be used for missing data. Coding of structured questions is relatively simple, since the response options are predetermined.

14-9 Coding Guidelines for coding unstructured questions: Category codes should be mutually exclusive and collectively exhaustive. Only a few (10% or less) of the responses should fall into the “other” category. Data should be coded to retain as much detail as possible. Database : Excel or SPSSExcelSPSS