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Filter search resultsQualitative research & evaluation methods: integrating theory and practice
The fourth edition of Michael Quinn Patton's Qualitative Research & Evaluation Methods Integrating Theory and Practice, published by Sage Publications, analyses and provides clear guidance and advice for using a range of differResourceDiscussion Paper: Innovations in Monitoring and Evaluation
This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.ResourceMachine learning and meta-ethnography: Seven steps to synthesising 578 evaluations into four themes
This paper documents a case study using machine learning and meta-ethnography techniques to synthesise and draw lessons from 578 evaluations. This paper is part of the BetterEvaluation Innovation Working Paper series.ResourceSome nuts and bolts questions about coding
This guest blog by Helen Marshall springs from discussions of the Qualitative Interest Group (QIG) that Helen coordinates. QIG meets monthly in Melbourne Australia to discuss issues around researching with qualitative data. QIG members inclBlogThematic coding
Thematic coding is a form of qualitative analysis that involves recording or identifying passages of text or images that are linked by a common theme or idea allowing you to index the text into categories and therefore establish a “frameworMethodComo elaborar modelo lógico:roteiro para formular programas e organizar avaliação
Este documento apresenta uma descrição do modelo logico, sua aplicabilidade, e como desenvolver um modelo logico com a finalidade de aperfeiçoar programas e projetos.ResourceCoding part 2: Thematic coding
This video tutorial from Graham H Gibbs (2010) provides an overview of thematic coding and examples to demostrate how it is done and how codes can be applied to the data.ResourceCoding part 1: Alan Bryman's 4 stages of qualitative analysis
In this web video, Graham R Gibbs provides an overview of qualitative analysis based on Alan Bryman's four stages of analysis.ResourceMachine learning in evaluative synthesis: Lessons from private sector evaluation in the World Bank Group
An exploration of the potential to use machine learning techniques to enhance the efficiency of analyzing, classifying, and synthesizing extensive amounts of text in evaluation research.ResourceAnalysing qualitative data using Microsoft Word
In this slide show, Jenna Condie, who is presenting a Qualitative Methods in Psychology (QMiP) workshop, explains how Word supports detailed coding, including developing detailed definitions of the codes and tracking comments and emerging iResourceLeveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.ResourceAdvanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.ResourceUsing Word & Excel to analyze qualitative data with Seth Tucker
Extracting meaningful findings from qualitative data requires an evaluator to have the right tools to able to organize, code, and immerse themselves in the data.ResourceThe art of coding with NVivo
During this virtual workshop, Dr. Penna presented how NVivo, qualitative data analysis software is used to code data, document the data analysis process, and present a visual presentation of the results to increase credibility.Resource