The Logics & Logistics of Qualitative Research

Slides:



Advertisements
Similar presentations
Chapter 14 Analysing Qualitative Data Zina OLeary.
Advertisements

Introduction to Psychology
Cross Cultural Research
David Palfreyman. Outline Qualitative data and how to analyze it. Your data Nvivo 8 2 March 2007David Palfreyman.
Please check, just in case…. Announcements Next week is our last “regular” class session – guest speaker. Make an appointment to see me about the final.
Analysing and Interpreting Data Chapter 11. O'Leary, Z. (2005) RESEARCHING REAL-WORLD PROBLEMS: A Guide to Methods of Inquiry. London: Sage. Chapter 11.2.
SWRK 292 Thesis/Project Seminar. Expectations for Course Apply research concepts from SWRK 291. Write first three chapters of your project or thesis.
Qualitative Data Analysis Systems
SOWK 6003 Social Work Research Week 10 Quantitative Data Analysis
Introduction to research Analyzing and interpreting research data
Embedding NVivo in postgraduate social research training Howard Davis & Anne Krayer 6 th ESRC Research Methods Festival 8-10 July 2014.
An Ecological Complexity Perspective On The Challenges In Lifelong Learning Of Teachers In Malaysia: A Case Study of an online learning environment within.
Research problem, Purpose, question
Data Analysis and Presentation
TECHNOLOGY & INSTRUCTION Janelle G. Protacio Reporter.
WORKING WITH NVIVO Kristoffer Greaves - Doctoral Researcher - Deakin University.
Reporting & Ethical Standards EPSY 5245 Michael C. Rodriguez.
CONSULTANT: BETTY ZOU CSSCR WINTER 2010 Beginning ATLAS.ti 5.5.
Populations and Samples Anthony Sealey University of Toronto This material is distributed under an Attribution-NonCommercial-ShareAlike 3.0 Unported Creative.
Qualitative Research Methods and Data Collection
Copyright, 2001, Starr Roxanne Hiltz  [How to] EVALUATE (and improve)  the EFFECTIVENESS of  [Organizational] INFORMATION SYSTEMS:  A HUMAN.
Bayesian networks Classification, segmentation, time series prediction and more. Website: Twitter:
Project 6 Using The Analysis ToolPak To Analyze Sales Transactions Jason C. H. Chen, Ph.D. Professor of Management Information Systems School of Business.
INFO 272. Qualitative Research Methods. The Iterative Model 1) research topic/questions 2) ‘corpus construction’ 3) data gathering 4) analysis 5) write-up.
Chapter Three: The Use of Theory
Copyright © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 3 Key Concepts and Steps in Qualitative and Quantitative Research.
Correlational Research Chapter Fifteen Bring Schraw et al.
Incorporating Primary Literature into Science Learning Faculty Development Workshop October 8, 2012 Donna L. Pattison, PhD Instructional Professor Department.
Discussion class 1, Semester 2 Presenter: Prof EJ Terblanché.
44220: Database Design & Implementation Modelling the ‘Real’ World Ian Perry Room: C41C Ext.: 7287
Qualitative or quantitative?. Research methods and statistics We are learning about...We are learning how to... Qualitative and quantitative data. Content.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
NVivo Software – A Qualitative Research And Data Analysis Tool: New User Tutorial Created Through a CMU Faculty Insight Team Grant by Joanne Hopper Bradley.
Communicating Ocean Sciences to Informal Audiences (COSIA) Session 8 Inquiring Minds and Promoting Discussion.
1. Tables, Charts, and Graphs Microsoft Word & Excel 2003.
Creswell Qualitative Inquiry 2e
Distributed Data Analysis & Dissemination System (D-DADS ) Special Interest Group on Data Integration June 2000.
Instructions for Endnote Mary Biathrow, Academic Coordinator Tuck School of Business.
CREATING AN ACTIVE LEARNING ENVIRONMENT Using Inquiry and Primary Sources.
Focus on Inquiry CPS System.  Blogs  Class Wiki  CPS—Classroom Performance Systems ◦ Break  Syllabus Updates  Focus on Inquiry ◦ What is an inquiry.
Discuss how researchers analyze data obtained in observational research.
1 Module 1 Introduction: The Role of Gender in Monitoring and Evaluation.
INFO 272. Qualitative Research Methods. The Iterative Model 1) research topic/questions 2) ‘corpus construction’ 3) data gathering 4) analysis 5) write-up.
Computing Honours Project (COMP10034) Lecture 6 Quantitative Research.
Instructional Computer Instructional Computer TECH2111 Dr. Alaa Sadik Instructional & Learning Technologies Department
Rachael Addicott Centre for Public Services Organisations February 2006 School of Management – Methodology and Qualitative Research Methods ANALYSING QUALITATIVE.
What is qualitative data analysis? Different approaches to analysing qualitative data.
QUALITATIVE DATA ANALYSIS. RESEARCH STRATEGY IDENTIFICATION RESEARCH PROBLEM RESEARCH PURPOSE RESEARCH QUESTIONS ISSUES TO BE EXPLORED APPROPRIATE TECHNIQUES.
NVivo Software – A Qualitative Research
QUALITATIVE DATA ANALYSIS WITH ATLAS.ti 8 WINDOWS
Qualitative Data Analysis
Student Centered Teaching and Learning
Business Case Analysis
Experimental Psychology
Example Help Explain Support Demonstrate Guide Standard Model Sample
Research strategies & Methods of data collection
Title: Validating a theoretical framework for describing computer programming processes 29 November 2017.
Qualitative Data Analysis with MaxQDA
Creating an Active Learning environment
Comparative Method I Comparative methods deal primarily with finding and/or eliminating necessary and/or sufficient conditions that produce a given outcome.
Workshop Title Workshop X – Section Y MCT123 Module Title
Course aims The aim of this course is to introduce prospective managers and leaders in the tourism industry to the essentials of the research process.
Chapter Two: Review of the Literature
Dr. Debaleena Chattopadhyay Department of Computer Science
Research strategies & Methods of data collection
Chapter Two: Review of the Literature
Language in the Media Lesson 2.
Evidence in Practice This is a coursework style assessment, that will be formally assessed during your exam. The specification requires that you: Describe.
Using State and Local Data to Improve Results
Presentation transcript:

The Logics & Logistics of Qualitative Research A Framework for Exploring Concepts, Dimensions, and Relationships in Qualitative Data using NVivo Research Software The Logics and Logistics of Qualitative Research: A Framework for Exploring Concepts, Dimensions, and Relationships in Qualitative Data using NVivo Research Software by Mandy J. Swygart-Hobaugh is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The Logics & Logistics of Qualitative Research A Framework for Exploring Concepts, Dimensions, and Relationships in Qualitative Data using NVivo Research Software Dr. Ralph LaRossa Dr. Mandy Swygart-Hobaugh Professor Emeritus of Sociology Librarian Associate Professor and Team Leader for Research Data Services

See handout for readings/resources mentioned during presentation. Discussion of: “The Logics” involved in building theoretically-rich qualitative analyses – Dr. Ralph LaRossa.  “The Logistics” of using specific features of NVivo qualitative research software to facilitate these analyses – Dr. Mandy Swygart-Hobaugh.    Q&A/Discussion See handout for readings/resources mentioned during presentation.

LaRossa on “The Logics” NOTE: Dr. LaRossa’s slides are not included in this web-posted version – please refer to the following articles for the content relevant to his portion of the presentation: LaRossa, R. (2012). Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. LaRossa, R. (2012). Thinking about the nature and scope of qualitative research. Journal of Marriage and Family, 74(4), 678-687. LaRossa, R. (2005). Grounded theory methods and qualitative family research. Journal of Marriage and Family, 67(4), 837-857. See also the Selected Readings/Resources on the last slide.

Swygart-Hobaugh on “The Logistics” Hands-On NVivo Workshops: Dates/Registration on “NVivo Help & Workshops” tab of NVivo online help guide @ http://research.library.gsu.edu/nvivo

The Story “I want to bring us to that awesome point where you have collected . . . tons of data and then you have to do something with them. You face the terrible moment when you want to leave this mortal coil because you are wondering what all of this awful buzzing confusion called ‘the data’ can possibly mean . . . What is the story? . . . .” Davis, F. J. (1974). Stories and sociology. Urban Life and Culture 3, 310-316.

NOTE: Dr. Swygart-Hobaugh artificially manipulated the analyses contained in this presentation to have ideal examples to illustrate NVivo’s features. The data is available via ICPSR if others wish to use the resources for actual analyses, but the data will likely not bear out the results presented in these slides.

Coding using NVivo Nodes LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Indicators Concepts

# of text segments coded (Indicators) # of Sources coded # of text segments coded (Indicators) Nodes = Concepts Coding Stripes Highlighted text = Coding References = Indicators

Run Word Frequency and/or Text Search Queries to tease out possible Indicator-Concept connections for coding LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Double-click word

Click here to see full source

What interpretations might we draw from “boy/boys” being the 2nd most frequent word grouping, appearing 2586 times, and “girl/girls” not even making the top 25, appearing 797 times? Is there something about the discussion of “boys” that alludes to an Indicator-Concept connection we could code for? What story can we tell?

Double-click to see mentions of words in full context of Source

Read mentions of “help/assist/aid” etc Read mentions of “help/assist/aid” etc. and determine if they are Indicators of a new Concept(s) to code for

Read mentions of “help/assist/aid” etc Read mentions of “help/assist/aid” etc. and determine if they are Indicators of a new Concept(s) to code for

Create Hierarchical Coding Structure (aka Parent/Child Nodes) of Variables/Dimensions LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Dimensions/Variables Concept Dimensions/Variables

Create Classifications for your Data Sources with their Varying Attributes LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Classification Sheet with Attributes Attributes ≈ Characteristics that vary among the units of analysis (e.g. letter writers) ≈ Variables Use for analytical comparisons AND exploring possible Variable-Relationship formations

Run Matrix Coding Queries LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Is there a relationship between the letter writer’s gender and whether they are taking or assigning blame for the child’s issues?

# of Coding References (i.e. coded text segments)

Double-click cell to see coded text segments

Right-click to “Export Node Matrix” to Excel for more calculations

INTERPRETATION: When looking at a Matrix Coding comparison by #/% coded text segments, it appears that the women are much more likely to blame themselves for the child’s issues than are the men AND that the men are much more likely to blame others than are the women.

BUT need to take into account that we’ve coded multiple text segments in a given individual source at “blaming self” and/or “blame taking”…

Right-click to change Cell Content display –change from # of Coding References (text segments) to # of Sources Coded

Right-click to change Cell Content display –change from # of Coding References (text segments) to # of Sources Coded

INTERPRETATION: If we take into account that we’ve coded multiple text segments for our Concept in a given individual source and instead display our Matrix Coding cell content at the “Sources coded” level, we see that women were still much more likely to blame themselves than others, and that men were still much more likely to blame others than themselves.

What story can we tell about this Variable-Relationship? INTERPRETATION: If we take into account that we’ve coded multiple text segments for our Concept in a given individual source and instead display our Matrix Coding cell content at the “Sources coded” level, we see that women were still much more likely to blame themselves than others, and that men were still much more likely to blame others than themselves. What story can we tell about this Variable-Relationship?

Run Coding Queries and code for Relationships LaRossa, R. 2012. Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. [Figure on p.650]

Is there a relationship between letter writers’ faulting themselves and feeling ashamed?

Coded at All selected nodes = text segments coded entirely or overlapping at multiple nodes (e.g. coded at both “faulting oneself” and “feeling ashamed”)

INTERPRETATION: Faulting oneself influences whether someone is feeling ashamed – i.e., there’s a Relationship. Read the text excerpts and draw your own conclusion as to whether a relationship exists between the two concepts or not.

Code the text segments of this Relationship as a Relationship Node: “Faulting oneself influences feeling ashamed.”

Visualize your Relationship by creating an interactive Project Map. NEW QUESTION: Is the gender of the letter writer a moderating influence on this relationship?

Chart Relationship Coding by Attribute Value of Gender

Of the 9 letters with 13 coded text segments that demonstrated a relationship between faulting oneself and feeling ashamed, all were written by women and none by men… What story can we tell re: gender as a moderating influence on this Relationship?

In conclusion, we’ve presented: “The Logics” involved in building theoretically-rich qualitative analyses.   “The Logistics” of using specific features of NVivo qualitative research software to facilitate these analyses.    Q&A/Discussion Thank you for attending!

Selected Readings/Resources: Abend, G., Petre, C., & Sauder, M. (2013). Styles of causal thought: An empirical investigation. American Journal of Sociology, 119(3), 602-654. GSU access: http://bit.ly/1vGENJ9 Davis, F. (1974). Stories and sociology. Urban Life and Culture 3(3), 310-316. GSU access: http://gilfind.gsu.edu/vufind/Record/294191 LaRossa, R. (2012). Writing and reviewing manuscripts in the multidimensional world of qualitative research. Journal of Marriage and Family, 74(4), 643-659. GSU access: http://bit.ly/16NcbZ6 LaRossa, R. (2012). Thinking about the nature and scope of qualitative research. Journal of Marriage and Family, 74(4), 678-687. GSU access: http://bit.ly/17UlSW1 LaRossa, R. (2005). Grounded theory methods and qualitative family research. Journal of Marriage and Family, 67(4), 837-857. GSU access: http://bit.ly/1C16y12 LaRossa, R., & Sinha, C. (2006). Constructing the transition to parenthood. Sociological Inquiry, 76(4), 433-457. GSU access: http://bit.ly/1C56LTB LaRossa, R., & LaRossa, M.M. (1981). Transition to parenthood: How infants change families. Beverly Hills, CA: Sage. GSU access: http://gilfind.gsu.edu/vufind/Record/510159 Roy, K., Zvonkovic, A., Goldberg, A., Sharp, E., & LaRossa, R. (2015). Sampling richness and qualitative integrity: Challenges for research with families. Journal of Marriage & Family, 77(1), 243-260. GSU access: http://bit.ly/1KnVLEP NVivo online help guide: http://research.library.gsu.edu/nvivo