Section 1 : Advanced Monitoring and Evaluation Course
Lecture 1 Introduction 00:00:53 Duration
Lecture 2 Course Project 00:01:53 Duration
Lecture 3 Meaning of project and Project Management 00:02:29 Duration
Lecture 4 Key characteristics of a project 00:02:45 Duration
Lecture 5 Position of Monitoring and Evaluation in project management cycle 00:02:41 Duration
Lecture 6 What is monitoring 00:02:36 Duration
Lecture 7 Types of Monitoring 00:03:40 Duration
Lecture 8 What is Evaluation
Lecture 9 Types of Evaluation 00:05:42 Duration
Lecture 10 Evaluation Criteria 00:05:18 Duration
Lecture 11 Objectives of Monitoring and Evaluation 00:02:44 Duration
Lecture 12 Differences between Monitoring and Evaluation 00:03:45 Duration
Lecture 13 Components of Monitoring and Evaluation systems 00:02:13 Duration
Lecture 14 Meaning of monitoring and Evaluation system 00:01:32 Duration
Lecture 15 Who should be involved in M&E activities
Lecture 16 Introduction to result chain 00:02:05 Duration
Lecture 17 Result chain in details 00:07:56 Duration
Lecture 18 What is logical framework 00:01:32 Duration
Lecture 19 Description of Logical Framework 00:02:52 Duration
Lecture 20 Indicators
Lecture 21 Means of verification 00:02:46 Duration
Lecture 22 Risks and Assumptions 00:02:24 Duration
Lecture 23 How Assumptions work in Log-frame 00:01:40 Duration
Lecture 24 Background to logical framework 00:02:44 Duration
Lecture 25 Designing logical Framework
Lecture 26 Designing logical Framework Sample two 00:09:19 Duration
Lecture 27 When do we use logical Framework
Lecture 28 SMART Indicators 00:03:44 Duration
Lecture 29 Introduction to M&E Framework 00:01:46 Duration
Lecture 30 Structure and Format of M&E Framework 00:03:02 Duration
Lecture 31 M&E Framework sample 00:05:39 Duration
Lecture 32 Introduction to M&E Methods 00:02:11 Duration
Lecture 33 Direct Observation 00:03:41 Duration
Lecture 34 Surveys or interviews 00:02:51 Duration
Lecture 35 Focus group discussions 00:02:48 Duration
Lecture 36 Pile-ranking exercise 00:02:42 Duration
Lecture 37 Data triangulation 00:02:48 Duration
Lecture 38 Introduction to M&E Tools 00:04:14 Duration
Lecture 39 Data Types 00:03:06 Duration
Lecture 40 What influences tools choice
Lecture 41 Questionnaire 00:03:22 Duration
Lecture 42 Designing Questionnaire 00:06:17 Duration
Lecture 43 Tips on questionnaire designing 00:03:33 Duration
Lecture 44 Practical questionnaire designing 00:09:44 Duration
Lecture 45 Focus group discussion guide 00:04:54 Duration
Lecture 46 Practical Focus group discussion guide designing 00:05:10 Duration
Lecture 47 Key Informant Interview Guide 00:03:00 Duration
Lecture 48 Practical Key Informant interview Guide formulation 00:04:04 Duration
Lecture 49 Observation checklist 00:02:00 Duration
Lecture 50 Sample Observation checklist 00:03:36 Duration
Lecture 51 Beneficiary sign in sheet 00:03:00 Duration
Lecture 52 Sample sign in sheet 00:02:50 Duration
Lecture 53 Introduction to sampling 00:04:05 Duration
Lecture 54 Representative random sampling 00:06:08 Duration
Lecture 55 Purposive sampling 00:03:10 Duration
Lecture 56 Introduction to research ethics and informed consent 00:03:13 Duration
Lecture 57 Obtaining informed consent from respondents or beneficiaries 00:03:35 Duration
Lecture 58 Research Misconduct in M&E 00:03:40 Duration
Lecture 59 Causes of poor data quality 00:03:28 Duration
Lecture 60 Monitoring data quality during collection process 00:03:02 Duration
Lecture 61 Introduction to data Analysis 00:02:42 Duration
Lecture 62 Quantitative data analysis 00:01:41 Duration
Lecture 63 Using Mean, Frequency, Percentage, Range and Standard deviation 00:11:05 Duration
Lecture 64 Bar charts 00:06:11 Duration
Lecture 65 Stacked bar chart 00:03:50 Duration
Lecture 66 Pie Chart 00:03:16 Duration
Lecture 67 Line graph 00:02:46 Duration
Lecture 68 Scatter plot 00:01:57 Duration
Lecture 69 Cross tabulation 00:02:20 Duration
Lecture 70 Qualitative data analysis 00:16:03 Duration