How do I summarize and make sense of all these words?

Slides:



Advertisements
Similar presentations
Qualitative text analysis. Why do qualitative text analysis? A number of scholars say you cannot capture the meaning of a text by counting the number.
Advertisements

Collecting Qualitative Data
Qualitative Methods Field Research 1.Participant observation 2.Intensive interview 3.Focus groups 4.Qualitative analysis Content Analysis Historical and.
Research Narrative Designs Dr. William M. Bauer
Narrative Research Designs
Methodology A preview. What is Methodology  Choosing a method of data collection  Structure of the research  Builds on and draws from problem statement.
Qualitative Data Analysis and Interpretation
Types of interview used in research
1 © 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Collecting Data This is STEP 3 of the five steps.
University of Wisconsin - Extension, Cooperative Extension, Program Development and Evaluation Unit 6: Analyzing and interpreting data “There’s a world.
Qualitative Research: Data Analysis and Interpretation
How to Assess Student Learning in Arts Partnerships Part II: Survey Research Revised April 2, 2012 Mary Campbell-Zopf, Ohio Arts Council
Observations A Mirror of the Classroom. Objectives  Gain specific strategies for communicating with teachers to promote successful teaching and learning.
Slide 10.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
Qualitative Research Methods
Chapter 10 Conducting & Reading Research Baumgartner et al Chapter 10 Qualitative Research.
Data Analysis for Evaluation Eric Graig, Ph.D.. Slide 2 Innovation Network, Inc. Purpose of this Training To increase your skills in analysis and interpretation.
Qualitative Research Data Analysis Mary Jean Ronan Herzog Ann Alexander Western Carolina University Educational Leadership & Foundations Scholarship of.
FOCUS GROUPS ANALYSIS OF QUALITATIVE DATA
Qualitative Analysis A qualitative researcher starts with a research question and little else! Theory develops during the data collection process. Theory.
ATP Online Module July 2006 Conducting Qualitative Research
INSTRUCTIONAL LEADERS Improving School Programs through Observing.
Qualitative Research Data Analysis Mary Jean Ronan Herzog Ann Alexander Western Carolina University Educational Leadership & Foundations Scholarship of.
The Evaluation Plan.
RESEARCH IN MATH EDUCATION-3
Some Insight into Qualitative Analysis N.I.Teufel-Shone, PhD College of Public Health University of Arizona SREP 2015.
Chapter 11: Qualitative and Mixed-Method Research Design
* When conducting qualitative research one is faced with the difficult task of interpreting the data. The following has been created to help make sense.
Quantitative Research Qualitative Research? A type of educational research in which the researcher decides what to study. A type of educational research.
Gathering User Data IS 588 Dr. Dania Bilal Spring 2008.
Qualitative Papers. Literature Review: Sensitizing Concepts Contextual Information Baseline of what reader should know Establish in prior research: Flaws.
The Process of Conducting Research
Height Weight I.Q. Income Body mass index Age Testosterone Highest grade #years college Amount of hair Measures of Self-esteem Acceptance of Others Narcissism.
Qualitative Data Analysis. Qualitative Data  Format: text, transcripts  Challenge is how to make sense of all of this data, how to group it together.
The Literature Search and Background of the Problem.
Quantitative and Qualitative Approaches
Research Methods in Psychology (Pp 32-44)
Qualitative Research Topic : Analysis is Ongoing (P.272~290) MA1C0109 Owen 楊勝雄.
How to Tackle the Reading Tests Name ______________ Class _________ Mark ________ Complete these two sections on the front cover.
1 © 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation How do I summarize and make sense of all these words?
Analyzing Qualitative Data. After The Focus Group…  The researcher is left with a collection of comments from respondents  Analyzing qualitative findings.
Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning,
Copyright 2010, The World Bank Group. All Rights Reserved. COMMUNICATION AND DISSEMINATION, PART 2 DEVELOPING DISSEMINATION PRODUCTS 1.
Action Research Qualitative Inquiry in Practice AACTE ANNUAL MEETING 2007 New York Dr. Dorothy Valcarcel Craig Ms. Kathyrn.
Collecting Qualitative Data
Qualitative and Quantitative Research Methods
PSYA4 Research Methods Qualitative Data.
Quantitative Research Qualitative Research? A type of educational research in which the researcher decides what to study. A type of educational research.
Aim: How do sociologists do research?
Introducing Regulatory Impact Analysis into the Turkish Legal Framework Improving Transparency, Consultation and Communication of RIAs March 2009.
Quantitative and Qualitative research
Discuss how researchers analyze data obtained in observational research.
Today’s Topic: Characteristics of non-positivist research.
Chapter 5: Research. Research is the most important to PR because it is used to... Achieve credibility with management Define audiences and segment publics.
W RITING AND REVISING YOUR R ESEARCH P APERS. A GENDA AND ANNOUNCEMENTS (12/2) The fourth Annual Undergraduate scholars forum. You can present your 202.
Smart Reading Strategies Webinar Presentation. How to use this recording Watch Do activities Webinar slides & further resources:
Qualitative Research Methods Interviews Alexandra Bousiou (School of Public Administration)
Qualitative Data Analysis and Interpretation. Understanding Qual. Reseach Q.R.: involves the systematic use of a variety of empirical materials – case.
Qualitative Methods Field Research 1.Participant observation 2.Intensive interview 3.Focus groups 4.Qualitative analysis Content Analysis 1.Units of analysis.
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.
Research Concepts 1 Approaches and Methods
Introduction to educational research
Content Analysis What is it? How do you do it? What are the advantages and disadvantages of it?
Wrestling with Reading
Completed some Focus Groups, now what do I do?
Qualitative & Quantitative Inquiry: Making Sense of the Data
Unit 6: Analyzing and interpreting data
Qualitative Data Analysis (QDA) Applied Research Seminar February 2017
Research Methods in Psychology
Ass. Prof. Dr. Mogeeb Mosleh
Presentation transcript:

How do I summarize and make sense of all these words? Analyzing qualitative data How do I summarize and make sense of all these words?

Qualitative or narrative data may come from… Open-ended questions and written comments on questionnaires Testimonials Interviews Focus groups Logs, journals, diaries Observations, Documents, reports, news articles Stories Case studies

The narrative responses may be brief or very long and detailed The narrative responses may be brief or very long and detailed. Your job is to make sense of these data and to make them understandable for others.

Typical errors Listing all narrative comments without doing any analysis Including information that makes it possible to identify the respondent. Generalizing from comments to the whole group. Qualitative information seeks to provide unique insights, understanding and explanation – it is not to be generalized. Using quotes to provide a positive spin. Consider your purpose for including quotes.

A common approach for analyzing qualitative data is called content analysis. It involves 5 steps: Get to know your data Focus the analysis Categorize the information Identify themes or pattern Organize them into coherent categories Identify patterns and connections within and between categories Interpretation – bring it all together See the booklet, Analyzing Qualitative Data to supplement the information on these slides; http://learningstore.uwex.edu/pdf/G3658-12.PDF

Step 1. Get to know your data Step 1. Get to know your data. Good qualitative data analysis depends upon understanding your data. Spend time getting to “know” your data. Read and re-read the text Listen to tape recordings if you have them; transcribe data Check the quality of the data. Is it complete and understandable. It it likely to add meaning and value? Was it collected in an unbiased way?

Step 2. Focus the analysis Review the purpose of the evaluation and what you wanted to find out. Based on your ‘getting to know your data’, think about a few questions that you want your analysis to answer and write them down. You might focus your analysis by question, topic, time period, event, individual or group.

Step 3. Categorize information Some people call this process ‘coding’ the data. It involves reading the data and giving labels or codes to the themes and ideas that you find. You may have themes or ideas you search for (pre-set categories) and/or create categories (emergent categories) as you work with the data.

Example of categorizing information using hand coding Each response is read and given a code to represent a different concept (category): Trg = training T = time R = resources P = program Fdbk = feedback M= mentor U = uncertain Then, the data can be sorted and organized by category to identify patterns and bring meaning to the responses.

If you’ve entered your data into a word processing file, you might highlight quotes and type category labels in the margins. It is a good idea to leave a wide margin when you create the file so you have space to type in the margins.

Or, you might use Excel to organize and categorize your data Example data set

Step 4. Identify patterns within and between categories Once you have identified the categories, you might: Sort and assemble all data by theme Sort and assemble data into larger categories Count the number of times certain themes arise to show relative importance (not suitable for statistical analysis) Show relationships among categories

Working with others (key stakeholders, other program staff, participants) in the coding and interpretation process is helpful. For example, several people might review the data independently to identify categories. Then, you can compare categories and resolve any discrepancies. How else might you involve others in your qualitative data analysis?

Step 5. Interpretation Now, stand back and think about what you’ve learned. What do these categories and patterns mean? What is really important What did you learn?

Congratulations! Learning how to analyze qualitative data is a rich and rewarding experience. The more you practice, the easier it will become. Have fun!!