Advanced Monitoring and Evaluation

Advanced Monitoring and Evaluation, available at $49.99, has an average rating of 4.2, with 119 lectures, based on 561 reviews, and has 1537 subscribers.

You will learn about Introduction to Monitoring and Evaluation Logical Framework Design Monitoring and Evaluation Methods Monitoring and Evaluation Tools Data Analysis and Presentation in Monitoring and Evaluation This course is ideal for individuals who are Beginners and Professionals in Monitoring and Evaluation It is particularly useful for Beginners and Professionals in Monitoring and Evaluation.

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Summary

Title: Advanced Monitoring and Evaluation

Price: $49.99

Average Rating: 4.2

Number of Lectures: 119

Number of Published Lectures: 119

Number of Curriculum Items: 119

Number of Published Curriculum Objects: 119

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Monitoring and Evaluation
Logical Framework Design
Monitoring and Evaluation Methods
Monitoring and Evaluation Tools
Data Analysis and Presentation in Monitoring and Evaluation

Who Should Attend

Beginners and Professionals in Monitoring and Evaluation

Target Audiences

Beginners and Professionals in Monitoring and Evaluation

This course discusses in details key concepts of Monitoring and Evaluation, to enable the students better understand, participate in, and contribute to the Monitoring and Evaluation processes of the organizations. The essential topics covered include;

1. Introduction to Monitoring and Evaluation

2. Designing logical framework in Monitoring and Evaluation

3. Monitoring and Evaluation Framework

4. Monitoring and Evaluation methods

5. Monitoring and Evaluation Tools

6. Sampling in Monitoring and Evaluation

7. Ethics & Informed Consent in Monitoring and Evaluation

8. Data analysis and presentation in monitoring and Evaluation

Monitoring and Evaluation (M&E) is used to assess the performance of projects, institutions and programmes set up by governments, international organizations and NGOs. Its goal is to improve current and future management of outputs, outcomes and impact. Monitoring is a continuous assessment of programmes based on early detailed information on the progress or delay of the ongoing assessed activities. An evaluation is an examination concerning the relevance, effectiveness, efficiency and impact of activities in the light of specified objectives

Monitoring and evaluation are critical for building a strong, global evidence base around projects for assessing the wide, diverse range of interventions being implemented to address it. At the global level, it is a tool for identifying and documenting successful programmes and approaches and tracking progress toward common indicators across related projects. Monitoring and evaluation forms the basis of strengthening understanding around the many multi-layered factors underlying projects and the effectiveness of the response at the service provider, community, national and international level.

At the programme level, the purpose of monitoring and evaluation is to track implementation and outputs systematically, and measure the effectiveness of programmes. It helps determine exactly when a programme is on track and when changes may be needed. Monitoring and evaluation forms the basis for modification of interventions and assessing the quality of activities being conducted.

Monitoring and evaluation can be used to demonstrate that programme efforts have had a measurable impact on expected outcomes and have been implemented effectively. It is essential in helping managers, planners, implementers, policy makers and donors acquire the information and understanding they need to make informed decisions about programme operations.

The course will enable you build basics understanding of monitoring and Evaluation

Course Curriculum

Chapter 1: Introduction To Monitoring and Evaluation

Lecture 1: Introduction

Lecture 2: Meaning of Project & Project Management

Lecture 3: Key Characteristics of a project

Lecture 4: Position of Monitoring and Evaluation in Project Management Phases

Lecture 5: What is monitoring

Lecture 6: Types of monitoring

Lecture 7: What is evaluation

Lecture 8: Types of Evaluation

Lecture 9: Evaluation Criteria

Lecture 10: Objectives of Monitoring and Evaluation

Lecture 11: Difference between monitoring and Evaluation

Lecture 12: Components of monitoring and Evaluation system

Lecture 13: Meaning of Monitoring and Evaluation system

Lecture 14: Who should be involved in M&E Activities

Chapter 2: Designing Logical Framework in Monitoring and Evaluation

Lecture 1: Introduction to results chain

Lecture 2: Result chain in details

Lecture 3: What is logical Framework

Lecture 4: Background to logical framework

Lecture 5: Description of logical Framework

Lecture 6: Indicators

Lecture 7: SMART Indicators

Lecture 8: Means of verification

Lecture 9: Risks and Assumptions

Lecture 10: How Assumptions work in Log-frame

Lecture 11: Designing Logical Framework

Lecture 12: Designing Logical Framework Sample one

Lecture 13: Designing Logical Framework sample Two

Lecture 14: When do we use logical framework

Chapter 3: Monitoring and Evaluation Framework

Lecture 1: Introduction to monitoring and evaluation Framework

Lecture 2: Structure & format of M&E Framework

Lecture 3: M&E framework sample

Chapter 4: Monitoring and Evaluation Methods

Lecture 1: Introduction to monitoring and evaluation Methods

Lecture 2: Direct Observation

Lecture 3: Survey or interviews

Lecture 4: Focus Group discussion

Lecture 5: Pile-ranking exercise

Lecture 6: Data Triangulation

Chapter 5: Monitoring and Evaluation tools

Lecture 1: Introduction to monitoring and Evaluation tools

Lecture 2: Data types

Lecture 3: What influences the tools choice

Lecture 4: Questionnaire

Lecture 5: Designing Questionnaire

Lecture 6: Tips on questionnaire designing

Lecture 7: Practical Questionnaire designing

Lecture 8: Focus Group Discussion Guide

Lecture 9: Practical Focus Group Discussion guide designing

Lecture 10: Key informant interview guide

Lecture 11: Practical Key Informant interview guide formulation

Lecture 12: Observation Checklist

Lecture 13: Sample Observation checklist

Lecture 14: Beneficiary sign in sheet

Lecture 15: Sample sign in sheet

Lecture 16: Common Mistakes with Indicators

Chapter 6: Electronic Questionnaire with Kobo ToolBox

Lecture 1: Creating Kobo toolbox Account

Lecture 2: How to login into kobo Toolbox account

Lecture 3: Quick Tour of Kobo Toolbox Interface

Lecture 4: Creating a new Project in Kobo toolbox

Lecture 5: Introduction to XLSForm Authoring

Lecture 6: Minimum columns required for each sheet in XLSForm

Lecture 7: Question types in Kobo toolbox XLSForm

Lecture 8: Authoring first simple XLSForm

Lecture 9: Deploying XLSForm in Kobotoolbox sysyem New

Lecture 10: Downloading kobo toolbox android application in mobile device

Lecture 11: Connecting android kobo collect mobile application to online server

Lecture 12: Filling XLSForm in android Kobotoolbox mobile phone Application

Lecture 13: Delete Saved Forms in Kobo collect mobile application

Lecture 14: Downloading submitted data from kobo toolbox online server

Lecture 15: How to write variable name and Metadata in XLSForm

Lecture 16: Question type -note

Lecture 17: Question type-date

Lecture 18: Question type-date with no-calendar appearance

Lecture 19: Question type-time

Lecture 20: Question type-date time

Lecture 21: Question type-text

Lecture 22: Question type-integer

Lecture 23: Question type-decimal

Lecture 24: Question type-calculate

Lecture 25: Question type-select_one

Lecture 26: Question type-select_multiple

Lecture 27: Question type-audio, video and image

Lecture 28: Controlling image pixels

Lecture 29: Question type image with signature and draw appearance

Lecture 30: Question type-rank

Lecture 31: Question type-range

Lecture 32: Question type range with rating appearance

Lecture 33: Question type range with picker and vertical appearance

Lecture 34: Hidden questions

Lecture 35: Question type-geopoint

Lecture 36: Question type-trigger and acknowledge

Lecture 37: Improving data quality with required

Chapter 7: Sampling in Monitoring and Evaluation

Lecture 1: Introduction to sampling

Lecture 2: Representative random sampling

Lecture 3: Purposive Sampling

Instructors

Kithinji Charles
M&E Expert

Rating Distribution

1 stars: 16 votes
2 stars: 25 votes
3 stars: 102 votes
4 stars: 203 votes
5 stars: 216 votes

Frequently Asked Questions

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