Канал: Statistics for Sustainable Development (Stats4SD)

Measurements and Joint Analysis

Measurements and Joint Analysis

Negotiating Research Designs

Negotiating Research Designs

Methods at the Design Stage

Methods at the Design Stage

Involving Farmers in the Research Cycle

Involving Farmers in the Research Cycle

Coding Procedures

Coding Procedures

Procedimientos de codificación

Procedimientos de codificación

Procedimientos de transcripción

Procedimientos de transcripción

Transcriptions Procedures

Transcriptions Procedures

Sistemas de seguimiento de datos cualitativos

Sistemas de seguimiento de datos cualitativos

Qualitative Data Tracking Systems

Qualitative Data Tracking Systems

Papel de los datos cualitativos

Papel de los datos cualitativos

Role of Qualitative Data

Role of Qualitative Data

Farmer Research Networks in Malawi: Socially Just Models of Inclusive Knowledge Co-Creation

Farmer Research Networks in Malawi: Socially Just Models of Inclusive Knowledge Co-Creation

Datos relacionales (Parte 2)

Datos relacionales (Parte 2)

Rapid Experiments

Rapid Experiments

Experimentos rápidos

Experimentos rápidos

Expériences rapides

Expériences rapides

Manor House Agricultural Centre (ENG)

Manor House Agricultural Centre (ENG)

Manor House Agricultural Centre (ESP)

Manor House Agricultural Centre (ESP)

Manor House Agricultural Centre (FRA)

Manor House Agricultural Centre (FRA)

Datos relacionales (Parte 1)

Datos relacionales (Parte 1)

Datos largos vs anchos

Datos largos vs anchos

Proyectos en R y RStudio

Proyectos en R y RStudio

Manejo de datos en R y Tidy Data

Manejo de datos en R y Tidy Data

Datos Faltantes en R

Datos Faltantes en R

Tipos de Datos en R

Tipos de Datos en R

Errores comunes en R y RStudio

Errores comunes en R y RStudio

Leer y Salvar Datos en R y RStudio

Leer y Salvar Datos en R y RStudio

Instalar y Cargar Librerias en R y RStudio

Instalar y Cargar Librerias en R y RStudio

Operaciones simples en R

Operaciones simples en R

Lo basico de RStudio

Lo basico de RStudio

Descargar e instalar R y RStudio

Descargar e instalar R y RStudio

Gestión de datos: Diccionario de datos

Gestión de datos: Diccionario de datos

Gestión de datos: Aseguramiento de la calidad de los datos

Gestión de datos: Aseguramiento de la calidad de los datos

Gestión de datos: Control de calidad de los datos

Gestión de datos: Control de calidad de los datos

Gestión de datos: Metadatos

Gestión de datos: Metadatos

Gestión de datos: Nombre de los archivos y estructura de carpetas

Gestión de datos: Nombre de los archivos y estructura de carpetas

Gestión de datos: Archivo y uso compartido de datos

Gestión de datos: Archivo y uso compartido de datos

Gestión de datos: Tipos de datos

Gestión de datos: Tipos de datos

Gestión de datos: Uso ético de los datos

Gestión de datos: Uso ético de los datos

¿Qué debe contener un documento de metadatos?

¿Qué debe contener un documento de metadatos?

Cómo usar RStudio de manera efectiva

Cómo usar RStudio de manera efectiva

Transición de datos sin procesar a datos primarios

Transición de datos sin procesar a datos primarios

Orientación para el manejo de diferentes tipos de datos

Orientación para el manejo de diferentes tipos de datos

Comprobación de la calidad de los datos

Comprobación de la calidad de los datos

Cómo crear un Dataverse

Cómo crear un Dataverse

Introducción a Dataverse

Introducción a Dataverse

Archivar y compartir datos

Archivar y compartir datos

Introducción a Dropbox

Introducción a Dropbox

Análisis de redes: Caso Yapuchiris Bolivia

Análisis de redes: Caso Yapuchiris Bolivia

Redes locales para la conservación de la agrobiodiversidad de papa nativa - AGUAPAN

Redes locales para la conservación de la agrobiodiversidad de papa nativa - AGUAPAN

Entendiendo las redes sociales como parte del trabajo del CCRP

Entendiendo las redes sociales como parte del trabajo del CCRP

Analyse du réseau: Cas Yapuchiris Bolivie

Analyse du réseau: Cas Yapuchiris Bolivie

Réseaux locaux pour la conservation de l'agrobiodiversité indigène de la pomme de terre - AGUAPAN

Réseaux locaux pour la conservation de l'agrobiodiversité indigène de la pomme de terre - AGUAPAN

Comprendre les réseaux sociaux dans le cadre des travaux du CCRP

Comprendre les réseaux sociaux dans le cadre des travaux du CCRP

Network Analysis Case Study: Yapuchiris Bolivia

Network Analysis Case Study: Yapuchiris Bolivia

Local Networks For Conservation of Native Potato Agrobiodiversity - AGUAPAN

Local Networks For Conservation of Native Potato Agrobiodiversity - AGUAPAN

Understanding Social Networks as Part of the Work of CCRP

Understanding Social Networks as Part of the Work of CCRP

Métodos de investigación para fomentar prácticas de conocimiento justo

Métodos de investigación para fomentar prácticas de conocimiento justo

Méthodes de recherche pour favoriser des pratiques de connaissances justes

Méthodes de recherche pour favoriser des pratiques de connaissances justes

Research Methods to Foster Just Knowledge Practices

Research Methods to Foster Just Knowledge Practices

Research in FRNs: Changing Views and New Areas of Research

Research in FRNs: Changing Views and New Areas of Research

Research in FRNS: What Do Researchers and Students Need to Know?

Research in FRNS: What Do Researchers and Students Need to Know?

Research in FRNS: What Types of Research Are FRNs Doing?

Research in FRNS: What Types of Research Are FRNs Doing?

Research in FRNS: The Importance of Farmer Engagement

Research in FRNS: The Importance of Farmer Engagement

Getting Started With RStudio

Getting Started With RStudio

Co-development of Research Methods for Agroecology

Co-development of Research Methods for Agroecology

Data Platforms for CCRP and Beyond

Data Platforms for CCRP and Beyond

Building Capacity for Agroecological Research

Building Capacity for Agroecological Research

Evolution of Research Methods

Evolution of Research Methods

Managing Data: Enhancing Learnings and Improving Accessibility

Managing Data: Enhancing Learnings and Improving Accessibility

Providing Statistical Support

Providing Statistical Support

Data Management: Case Study on Qualitative Data Management

Data Management: Case Study on Qualitative Data Management

How to use the Indicator Hub | State of the Smallholder Coffee Farmer

How to use the Indicator Hub | State of the Smallholder Coffee Farmer

Data Management: Relational Data (Part Two)

Data Management: Relational Data (Part Two)

Data Management: Relational Data (Part One)

Data Management: Relational Data (Part One)

Data Management: Tidy Data and R Projects

Data Management: Tidy Data and R Projects

Data Management: Long vs Wide Data

Data Management: Long vs Wide Data

Data Management: Case Study: Data Organisation and Quality Assurance

Data Management: Case Study: Data Organisation and Quality Assurance

Data Management: Data Dictionary

Data Management: Data Dictionary

Data Management: Metadata

Data Management: Metadata

Data Management: File Names and Folder Structure

Data Management: File Names and Folder Structure

Data Management: Data Quality Assurance

Data Management: Data Quality Assurance

Data Management: Data Quality Control

Data Management: Data Quality Control

Data Management: Data Archiving and Sharing

Data Management: Data Archiving and Sharing

Data Management: Types of Data

Data Management: Types of Data

Data Management: Data Management and Research in Agroecological Transitions

Data Management: Data Management and Research in Agroecological Transitions

Data Management: Data Ethics

Data Management: Data Ethics

FRNs and Relearning Research Methods

FRNs and Relearning Research Methods

The Birthday Problem (Part Two): Programming in R

The Birthday Problem (Part Two): Programming in R

The Birthday Problem (Part One): Programming in R

The Birthday Problem (Part One): Programming in R

Importing Messy Climate Data in R

Importing Messy Climate Data in R

Warming Stripes in R Using ggplot2

Warming Stripes in R Using ggplot2

Sampling for Representative Results

Sampling for Representative Results

Presenting Research Results: Adapting to the Audience (Part Two) - Adapting to Farmers

Presenting Research Results: Adapting to the Audience (Part Two) - Adapting to Farmers

Presenting Research Results: Adapting to the Audience (Part One)

Presenting Research Results: Adapting to the Audience (Part One)

Research Data Life Cycle

Research Data Life Cycle

What Does Good Data Management Imply?

What Does Good Data Management Imply?

Presenting Research Results: Presenting on Posters

Presenting Research Results: Presenting on Posters

Presenting Research Results: Presenting Results in Scientific Journal Articles

Presenting Research Results: Presenting Results in Scientific Journal Articles

Presenting Research Results: Presenting Precision and Variability in Results

Presenting Research Results: Presenting Precision and Variability in Results

Presenting Research Results: Communicating Results from Factorial Experiments

Presenting Research Results: Communicating Results from Factorial Experiments

Presenting Research Results: Tables and Graphs

Presenting Research Results: Tables and Graphs

Presenting Research Results: Presenting Results as Telling Stories

Presenting Research Results: Presenting Results as Telling Stories

Statistical Modelling in R

Statistical Modelling in R

Data Analysis Workflow in R (Part Two): chisq test

Data Analysis Workflow in R (Part Two): chisq test

Data Analysis Workflow in R (Part One): t-tests

Data Analysis Workflow in R (Part One): t-tests

How to Effectively use RStudio: Importing data

How to Effectively use RStudio: Importing data

Introduction to dplyr (Part Two): Group By and Pipe

Introduction to dplyr (Part Two): Group By and Pipe

Introduction to dplyr (Part One): Core Functions

Introduction to dplyr (Part One): Core Functions

Introduction to ggplot2 (Part Three): Facets, Themes and Taking Things Further

Introduction to ggplot2 (Part Three): Facets, Themes and Taking Things Further

Introduction to ggplot2 (Part Two): Colours and Scales

Introduction to ggplot2 (Part Two): Colours and Scales

Introduction to ggplot2 (Part One): Data Visualisation in R and the Grammar of Graphics

Introduction to ggplot2 (Part One): Data Visualisation in R and the Grammar of Graphics

Webinario sobre validez y credibilidad

Webinario sobre validez y credibilidad

Stories and Lessons from the Pandemic - CCRP East and Southern Africa CoP

Stories and Lessons from the Pandemic - CCRP East and Southern Africa CoP

Introduction to ODK (Part 7): Using KoboToolBox - Data Monitoring and Downloading

Introduction to ODK (Part 7): Using KoboToolBox - Data Monitoring and Downloading

Introduction to ODK (Part 6): Using ODK Collect

Introduction to ODK (Part 6): Using ODK Collect

Introduction to ODK (Part 5): ODK Aggregators

Introduction to ODK (Part 5): ODK Aggregators

Introduction to ODK (Part 4a): Examples of XLSForm Form Logic

Introduction to ODK (Part 4a): Examples of XLSForm Form Logic

Introduction to ODK (Part 4): XLSForms Form Logic

Introduction to ODK (Part 4): XLSForms Form Logic

Introduction to ODK (Part 3a) - Examples of XLSForm Question Types

Introduction to ODK (Part 3a) - Examples of XLSForm Question Types

Introduction to ODK (Part 3): XLSForms Question Types

Introduction to ODK (Part 3): XLSForms Question Types

Introduction to ODK (Part 2): XLSForms - Form Structure

Introduction to ODK (Part 2): XLSForms - Form Structure

Introduction to ODK (Part 1): The Basics

Introduction to ODK (Part 1): The Basics

4 - Subir formularios al agregador

4 - Subir formularios al agregador

3 - Elementos basicos del formulario ODK

3 - Elementos basicos del formulario ODK

Stats4SD - Working from Home

Stats4SD - Working from Home

FRN Diseño y ejecucion de experimentos - PROSUCO

FRN Diseño y ejecucion de experimentos - PROSUCO

Introducing the Stats4SD Resources Site

Introducing the Stats4SD Resources Site

Webinar: Análisis de datos cualitativos

Webinar: Análisis de datos cualitativos

Webinar: Cómo escribir un artículo académico

Webinar: Cómo escribir un artículo académico

Limitations of Results From Non-Representative Samples

Limitations of Results From Non-Representative Samples

What is a Representative Sample?

What is a Representative Sample?

When Do You Need a Representative Sample?

When Do You Need a Representative Sample?

Baseline and Endline Sampling Schemes

Baseline and Endline Sampling Schemes

When Do You Not Need a Representative Sample?

When Do You Not Need a Representative Sample?

Writing "Smart" Data Collection Forms

Writing "Smart" Data Collection Forms

Thinking in Reverse Order

Thinking in Reverse Order

Estimation of Population Characteristics vs Comparing Interventions

Estimation of Population Characteristics vs Comparing Interventions

What is Qualitative Data?

What is Qualitative Data?

Conducting Interviews with Digital Data Collection Devices

Conducting Interviews with Digital Data Collection Devices

Technical Issues in Infrastructure

Technical Issues in Infrastructure

What is a Research Protocol and How to Use One

What is a Research Protocol and How to Use One

Introduction to R-Instat

Introduction to R-Instat

Introduction to Data and Document Stores

Introduction to Data and Document Stores

Transition from Raw to Primary Data

Transition from Raw to Primary Data

Guidance for Handling Different Types of Data

Guidance for Handling Different Types of Data

Introduction to Dataverse

Introduction to Dataverse

Data Quality Checking

Data Quality Checking

How to Create a Dataverse

How to Create a Dataverse

The CCAFS Dataverse

The CCAFS Dataverse

What Should a Metadata Document Contain?

What Should a Metadata Document Contain?

Archiving and Sharing Data

Archiving and Sharing Data

Ownership Issues with Data and Document Stores

Ownership Issues with Data and Document Stores

Organising Your Data and Documents

Organising Your Data and Documents

Data Ownership Issues in a Research Project

Data Ownership Issues in a Research Project

Budgeting and Planning for Data Management

Budgeting and Planning for Data Management

Policies and Procedures for a Data Management Plan

Policies and Procedures for a Data Management Plan

What Should a Research Protocol Contain?

What Should a Research Protocol Contain?

The Project Timetable and Testing Process

The Project Timetable and Testing Process

Measurements - Designing Right-N Trials with Farmers (Part Three)

Measurements - Designing Right-N Trials with Farmers (Part Three)

Implementation - Designing Right-N Trials with Farmers (Part Four)

Implementation - Designing Right-N Trials with Farmers (Part Four)

Options by Context (Part Two): The Design

Options by Context (Part Two): The Design

How to Run Large N Trials (Part 2)

How to Run Large N Trials (Part 2)

Why Use Large N Trials? (Part 1)

Why Use Large N Trials? (Part 1)

Options by Context (Part One): The Concept

Options by Context (Part One): The Concept

An "Integrated Systems Approach" to Research (Part One)

An "Integrated Systems Approach" to Research (Part One)

Design Details - Designing Right-N Trials with Farmers (Part Two)

Design Details - Designing Right-N Trials with Farmers (Part Two)

Experiments with Farmers - Communicating the Design (Part Five)

Experiments with Farmers - Communicating the Design (Part Five)

Experiments with Farmers - Farmers are Not Replicates! (Part Four)

Experiments with Farmers - Farmers are Not Replicates! (Part Four)

Experiments with Farmers - From Noise to Information (Part Three)

Experiments with Farmers - From Noise to Information (Part Three)

Experiments with Farmers - What Happens to Designs? (Part Two)

Experiments with Farmers - What Happens to Designs? (Part Two)

Experiments with Farmers - Why? (Part One)

Experiments with Farmers - Why? (Part One)

Objectives - Designing Right-N Trials with Farmers (Part One)

Objectives - Designing Right-N Trials with Farmers (Part One)

ACP y dendrogramas para crear tipologias

ACP y dendrogramas para crear tipologias

Introducción a ODK

Introducción a ODK

Infrastructure for Digital Data Collection

Infrastructure for Digital Data Collection