professional · • developing a project logical framework • estimating resource requirements...

KENO INSTITUTE OF TRAINING &R E S E A R C H

KENO INSTITUTE OF TRAINING &R E S E A R C H

2020

PROFESSIONALTRAINING SOLUTIONS

+260761685388 :[email protected] Rhodes Park, Lusaka.zambia.

www.kenoinstitute.org

To K n o w Is To G ro w

KENO INSTITUTE OF TRAINING & RESEARCH2020

Course Data Management and Analysis Using NVivo Project Cycle Management Monitoring, Evaluation, Accountability & Learning Data Management & Analysis Using StataData Management & Analysis Using Epi infoData Management & Analysis using SPSSData Management & Analysis using SPSSAdvanced Excel Technical Proposal Writing for Innovation Projects Results Based Management, Monitoring & Evaluation Principles of evaluation to principles and practice of evaluation Developing Data Collection, Management and Analysis SystemsEvaluation of Programs, Projects, Policies and SystemsPlanning, Designing and Implementing a Planning, Designing and Implementing a Functional Monitoring and Evaluation System.

[email protected]@kenoinstitute.org

data management& analysis using nvivo( qualitative research method )

Who Should Attend?• Project managers • Academics and professional researchers • Program Officers • Statisticians •• Monitoring and Evaluation professionals • students form higher learning institution

• Understanding Qualitative Research Methods • Preliminaries of Qualitative Data Analysis• Understanding NVIVO & its Concept• Designing and managing NVIVO Projects• Importing and Coding Documents• Classifying and Categorizing Data•• Thematic Analytics in NVIVO• Qualitative Analysis Results• Visualizing NVIVO project• Triangulating results and Report Writing

PROJECT CYCLE MANAGEMENT

Project Cycle Management (PCM) is the process of effectively planning and managing projects, programmes and organizations. It is used widely in the development sector.This course identifies key project cycle management skills required by project managers, operational staff,project planners and technical team among others and project planners and technical team among others and equips them with an understanding of project cycle management techniques, tools and practices crucialfor managing projects successfully and the ability todeliver outputs efficiently.

Learning Objectives • To equip trainees with knowledge, skills and practices on project cycle management • To introduce trainees to project management tools such as the Logical Framework approach (LFA) as well as participatory approaches commonly used in projects•• Ensure effective monitoring and evaluation, and support and manage project teams to achieve enhanced project results• To strengthen participants competency in effective project management

Course Content

• Essentials of Project cycle Management • Project management tools and techniques• Project Monitoring and Evaluation • Needs assessments, problem analysis and stakeholder analysis• Developing a project logical framework• Estimating resource requirements •• Managing your project team • Managing Risks and Quality • Project reviews, evaluations and sustainability mechanisms

Course Outcomes• Conducting effective assessments• Demonstrate how to develop logical planning frameworks• Identify resource management techniques • Identify project risks in the critical stages of project implementation • Demonstrate your understanding of effective monitoring and evaluatio evaluation, and create useful reports

Duration: 2 Weeks

Training Cost: ZMK 3,700

Dates: 24th August – 6th September

Expected Course Outcomes• Understand the basic concepts underlying MEAL• Develop MEAL indicators, systems, performance plans and frameworks

• Support the development of MEAL work pieces such as program baselines, mid-term reviews and end lines;• Equip participants with an understanding of Quality Improvement Strategies• Manage, analyze and ensure data quality• Understand project reporting and feedback mechanisms

Workshop Content

MONITORING , EVluation ,accountability & learning ( meal )

Training Cost: 3000

Dates: 23rd- 27th March 13th – 23rd April 4th – 17th May 23rd November- 6th December

Who should attend individual researchers graduates, management staff, project management officials, government officials,policy makers and program implementers, financial specialists, business managers,development practitioners, and NGO and CSO members. It seeks to ensure that paIt seeks to ensure that participants are better

equipped to be M&E experts.

.....

Objectives• You will understand and apply appropriate approaches and tools of MEAL, and more specifically, you will know how to:• Define concepts and approaches related to MEAL• Include the MEAL approach in a project cycle management• Design and use main MEAL tools (MEAL Plan, survey tools, TO TOR, evaluation report, accountability mechanism)• Apply the MEAL approach in the implementation of humanitarian projects and programs.

Course OverviewThis course provides a comprehensive understanding of Monitoring, Evaluation, Accountability and Learning (MEAL) concepts and fits them within the logical framework used to track progress, make adjustments, discover unplanned effects of programmes, or judge

the impact that we have made on the lives of those with whom we are working. Participants will also familiarize with the conceptof learning and how to capture and capitalize lessons learnt and good practices from different interventions. MEAL emphasizes stakeholder participation, programme visibility, learning and information sharing among stakeholders throughout the project cycle. It therefore enables managers in building trust, confidence and common understanding across various stakeholders.

• Monitoring, Evaluation, Accountability and Learning fundamentals • Project/program monitoring & evaluation; how to set up monitoring and evaluation frameworks, designing a performance monitoring & evaluation plan; choice of indicators, data collection techniques and sampling,

• MEAL Planning & Budgeting • Baseline and evaluation design and management • Introduction to Quality Improvement principles approaches and tools. • Adapting monitoring, evaluation, accountability and learning to different sectors of intervention• Accountability and how to set up feedback and complaints mechanisms•• Defining learning and how to learn from a project/program

Duration: 2 Weeks


DATA MANAGEMENTANAYLSIS & GRAPHICSUSING STATA

Who should attend?

• Statisticians • Data Scientist • Researchers • Consultants • Program officers

•• Beginners

Duration: 2 Weeks

Training Cost: ZMK 1,950

Learning Objectives By the end of the training, you will be able to:

• Understand both descriptive and inferential statistics• Understand various data collection techniques and data processing methods• Use basic functions and navigation within Stata•• Create and manipulate graphs and figures in Stata• Use Stata effectively for manipulating and analyzing data.• Keep records of your work and create reproducible analyses.• Export the results of your analyses

Dates:20th – 31st July

Course DescriptionThis training is very practical with participants being led through numerous exercises with actual data from both pre-existing datasetsand datasets created by the trainees. As the training will cover the

use of STATA to perform commonly used statistical tests, prior knowledge of elementary statistics is an advantage though a very briefly review will be conducted during the training. STATA menus and dialogue boxes will be used extensively throughout this training in order to move beginners to a comfortable level of competence where they will able to learn and enter commands directly. Prior experience with other statistical software is not a prerequisite to this training.

Course Content

• Introduction to Statistical Concepts• Concepts for Data Collection and Processing• Data Structures and Types of Variables • Data Management using Stata• Output Management and stata programming• Tabulating data with Stata•• Stata Basics of graphing and Graphing quantitative• Quantitative Analysis using Stata• Statistical Inference and Regression analysis

Course Outcome • Participants will be able to understand questionnaire, concept of data processing and sampling design. • Participants will be able to use the knowledge and skills gained from the training course for their future research work • Participants will be able to understand data analysis in STATA that is commonly encountered in data analysis and will be able to interpret and repo interpret and report the results


DATA MANAGEMENT& ANAYLSIS USING EPI INFO

Course Description Epi Info is a public domain suite of software tools that has been in existence for over 20 years and is currently available for Microsoft Windows. It was developed by the CDC in Atlanta and designed for .

the global community of public health practitioners and researchers. This course enable participants to create electronic surveys, perform data entry, management and analysis. Epi Info analytic routines include t-tests, ANOVA, nonparametric statistics, cross tabulations and stratification with estimates of odds ratios, risk ratios, and risk differences, logistic regression, survival analysis, and analysis of complex survey data

Learning Objectives • To enable participants learn how to use Epi Info for data capturing and creating investigations;• To enable participants perform statistical analyses for public health and epidemiology;• To be able to produce reports based on data analyzed

Who should attend • Program staff• Individual researchers• Project management officials• Government officials • Policy makers and program implementers

Duration: 2 Week

Training Cost: 2,800 Dates: 26th October – 6th November

Course Content

• Overview of Epi Info• Electronic Survey Creation • Data entry • Hypotheses tests • Cross tabulations and stratifications with estimates • Logistic regressions •• Survival Analysis • Analysis of complex survey data

Course Outcome

• Use Epi Info for data capturing and creating investigations • Use Epi Info for statistical analyses for public health and epidemiology • Produce reports based on data analyzed

Course DescriptionSPSS is a widely used program for statistical analysis in social science. SPSS is a powerful suite of data analytics, reporting and modeling software. It is the data analytics software package of choice for

people who need to analyze and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies,government, education researchers, marketing organizations involves working on a number of practical, hands on examples and exercises in a workshop environment.

DATA MANAGEMENT& ANAYLSIS USING SPSS

Duration: 2 Weeks

Training Cost: ZMK : 1,850 Dates: 1st – 13th September

Who should attend?

• Statisticians • Data Scientist • Researchers • Consultants • Program officers •• Beginners


• Understand both descriptive and inferential statistics• Understand various data collection techniques and data processing methods• Use basic functions and navigation within SPSS•• Create and manipulate graphs and figures in SPSS• Use SPSS effectively for manipulating and analyzing data.• Keep records of your work and create reproducible analyses.• Export the results of your analyses.

Course Content

• Introduction to Statistical Concepts• Concepts for Data Collection and Processing• Data Structures and Types of Variables • Data Management, storage types & measures • Creating & Editing quantitative & categorical graphs/charts • Advanced data tabulation •• Point estimation & hypotheses testing • Inferential analysis & Time series• Regression analysis

Course Outcome • To be able to perform a wide range of data management tasks in SPSS application • Understand the basic workings of SPSS, and perform basic statistical analyses

• To perform database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations. • To perform data checking and create simple tables and charts. • To perform advanced analysis in SPSS• Participants will be able to understand questionnaire, concept of data processing and sampling design. •• Participants will be able to use the knowledge and skills gained from the training course for their future research work • Participants will be able to understand data analysis in SPSS that is commonly encountered in data analysis and will be able to interpret and report the results



ADVANCED MICROSOFTEXCEL TRAINING

Advanced Excel plays a very important role in structuring & presenting data so that it looks impressive. Once one has a good understanding of Excel features like tables, cell styles, formatting options, then it is necessary to make awesome Excel workbooks. The role of this course is to teach participants the various formulas used in Excel, how to debug them, audit them and how to use which formula for which occasion (and also know few alternatives for any given formula problem).

Dates: 20th – 31st July

Who should attend • All persons using Excel spreadsheets. • Professions that have attended include accountants, actuaries, auditors, business analysts, chartered accountants, civil engineers, construction, consulting,corporate finance, engineers, farming, finance, hr functiohr function, landlords, lawyers, quantity surveyors, research analysts, retail, scientists and engineers

Learning Objectives • To teach participants the advanced formulas as well as how to use which formula for which occasion. • To equip participants with the knowledge on how to debug and audit the advanced formulas.• To explore the magic of analyzing data using Advanced Excel

Duration: 3 Week

Training Cost: 2,350

Course Content • Some Essential Background to MS Excel • Introduction to Advanced MS Excel• Data Validation• Preparing your data for analysis• Methods of Summarizing Data• Report Visualization Techniques in MS Excel

COURSE OUTCOMES

• Apply advanced formulas to lay data in readiness for analysis • Use advanced techniques for report visualizations • Leverage on various methodologies of summarizing data • Understand and apply basic principles of laying out Excel models for decision making


TECNHNICAL PROPOSALWRITING FOR INNOVATON PROJECTS

This course is aimed at equipping individuals in all sectors with the relevant skills and know-how to produce engaging, high quality, successful proposals for humanitarian and development projects. Keno Institute of Training and Research has skillfully designed this coursen order to increase organizations’ chances of winning competitive funds from partners, donors, government & other entities. The course covers the various types of bids and proposals and the various approaches needed to reflect these factors including planning, writing the bid, structure and writing style as well as pa and writing style as well as partnership development, budgets and eligibility.

Dates: 14th-5th June

Goal of this training : To learn how to write project proposals that meet international standards and that can compete withother applications for international donors.

Expected Outcome The training will enable participants to:• Understand the key elements of a well-developed proposal • Learn the best-practices from experts in proposal development • Network with colleagues from different organisations and sharing experiences Duration: 3 Days


Participants

Workshop Content

This training is targeted at a variety of program staff, management staff, project management officials, government officials, policy makers and program implementers, financial specialists, business managers, development practitioners, and NGO and CSO members. It seeks to ensure that participants are better equipped to produce winning proposals.

Overview

• Introduction to resource mobilization principles and strategies • Introduction to key elements of a well-crafted proposal • A snapshot of the current funding environment for nonprofit organizations• Basic proposal elements, proposal formats and proposal summary.• Important elements of a successful proposal • The life-cycle of proposal development from idea through to submission •• Needs assessment, project design frameworks, problem statement, problem justification, project goals and objectives setting, project output and outcomes, project strategy and approaches and project implementation planning.• Project Log Frame Design/Monitoring and Evaluation Plan • Communication, learning, adjusting and decision making • Key elements of technical reporting


RESULTS BASED- MONITORING & EVALUATION


• Develop deeper understanding of M&E Results frameworks and Systems • Be able to select and use Data collection methods and tools effectively • Be able to construct indicators and formulate M&E questions • Be able to perform Data Analysis/Interpretation & Reporting

Course Description

This five-day course is aimed at providing an overview of results-based monitoring and evaluation methods with practical applications of tools and methods. This course will provideparticipants with RM&E tools, techniques and resources needed for planning, organizing, and/or managing programs and projects.

Who should attend: • Program staff• Individual researchers• Project management officials• Government officials • Policy makers and program implementers•• Financial specialists

Duration: 2 Weeks


Dates:Dates: 3rd August–11th August

Course Outcome

• Improved understanding of Results Based M&E concepts, methods and tools• Increased knowledge and skills of participants to monitor and evaluate programs and projects. • Improved understanding of how to improve the quality of their projects while promoting learning and accountability through RB M&E

Course Content

• Introduction to Results-Based Monitoring and Evaluation • Program Theory of Change and Impact Pathways • Outcome Mapping and Results-Based Management • Using a Results Framework Model to Describe Your Program • Constructing indicators and formulating M&E questions

• Designing & Implementing Result Based Monitoring and Evaluation Systems and plans• Deciding on the sampling strategy • Designing and implementing Ex-ante and Ex-post Impact Evaluation • Baseline Assessments • Data Collection and Analysis • Communicating and Use of M&E results


PROGRAM EVALUATION PRINCIPLES AND PRACTICE

Course ObjectivesBy the end of this course, students will be able to:

• Explain the major concepts in program evaluation• Perform skills required in conducting program evaluation• Write an evaluation plan/design

Who Should Attend The course targets individuals seeking advanced training and practical experience in developing program evaluation skills. It’s designed with focus on meeting the needs of monitoring and evaluation/research professionals seeking to advance their /research professionals seeking to advance their knowledge on how to plan, design, manage and undertake evaluations in “real world” settings.

Course Design

Online training through a comprehensive self-study guide developed by experts in the field supported by 2 hour interactive contact session every week for 4 weeks. Each student in the class will prepare an evaluation plan to fulfil the requirements for this course.

At the end of this course, participants should be able to:

• Master Key principles of evaluation relevant to implementing practical program evaluations• Acquire skills in developing evaluation criteria and the logic of evaluation • Learn how to undertake a stakeholder mapping and analysis for evaluation planning purposes• Study practical considerations in selecting appropriate evaluation designs and methods for data collection for data collection• Learn how to construct an organizational learning agenda and to identify evaluation priorities• Acquire skills in developing practical sampling and data analysis strategies• Learn key steps in ensuring effective communication and utilization of evaluation findings

Learning Outcomes

Duration: 8 Weeks

Training Cost: K 3,500

Dates: 27th August -11th September


DEVELOPING DATA COLLECTIONManagenment and Analysis Systems

Content• The importance and function of developing effective data collection, management and analysis processes as part of the M&E system• Designing and implementing data collection and management processes - qualitative and quantitative (e.g. one-time and tracking surveys, semi-structured interviews, focus groups, case studies, narrative stories, workshops, direct obse stories, workshops, direct observation, abstractions, etc.)• Develop a hands-on, practical overview of data analysis • Developing databases in supporting effective data management and analysis• Evaluation capacity building requirements for data collection and analysis• Data integration and data synthesis• Applying data analysis to decision-making events• Understanding data collection options, qualitative, quantitative, creating visual dashboards and other visual dashboards and other• Explanations and demonstrations of effective data visualization tools and techniques

Overview

This training will focus on developing M&E capabilities for the collection, analysis and synthesis of monitoring and evaluation data. In an M&E System, such capacities are crucialfor implementing the monitoring and evaluation plans that have been developed. This short course will cover a range of quantitative and qualitative data collection processes and theknowledge and skills required for their effective use. This training will equip you with hands on skills in reviewing options, methods, tools and techniques for data collection, managementand analysis (both qualitative and quantitative)and analysis (both qualitative and quantitative).

• Understanding the elements required for the development and implementation of effective data management and data analysis processes• Understanding data collection options, qualitative, quantitative, visual and other• Understanding requirements to support effective data management and analysis• Understanding capacity building requirements for personnel collecting, entering and analyzing data

•• Understanding the need for data synthesis processes that support data aggregation Participants:• Program staff, • Management staff, P• Project management officials, • Government officials, • Policy makers and program implementers•• Financial specialists• Business managers, • Development practitioners

Learning Outcomes

Training Cost: K 2,850 Dates: 4th August -16th October


PLANNING, DESIGNING and Implementing a Functional Monitoring and Systems

Workshop Content• The role of key performance indicators and targets, and how to incorporate them within monitoring and evaluation plans• Developing a Monitoring Plan that maps the routine monitoring data to be collected• Developing an Evaluation Plan that maps the periodic evaluation data to be collected• The elements that make up a Monitoring and Evaluation system and the sequence of steps and stages in developing a system sequence of steps and stages in developing a system• The importance and inter-connectedness of monitoring and evaluation functions and processes• Stakeholder engagement and stakeholder roles in developing the M&E system• Developing Program Theory – its importance in identifying anticipated change, and the underlying assumptions to be tested through the Monitoring and Evaluation system•• Developing Program Logic - its importance in detailing the operationalisation of the theory over time through articulation of a sequential set of inputs, outputs and outcomes.• Evaluation capacity development in the design and implementation of an M&E system

Course Description

Designing and implementing a Monitoring and Evaluation System for a program or an organisation is becoming an increasingly important task required to support the assessment of agreed results and to aid organisational learning for program improvement. A robust and well-considered Monitoring and Evaluation System is also required to determine the scopeand parameters of routine monitoring and periodic evaluation processes

Who should attend: • M&E officers/program staff • Researchers • mid-level professionals• postgraduate students.

Duration: 2 Weeks


Dates:Dates: 14th – 25th September

Learning Outcomes

• Understanding the core concepts and components of a Monitoring and Evaluation system• Understanding the role of key stakeholders in the process of developing a system• Understanding the role of Program Theory and Program Logic as foundations for monitoring and evaluation functions• Understanding the importance and approaches to planning and guiding the implementation of the M&E system


EVALUATION OF PROGRAMS,

Projects , Public Polices and

Systems

Who should attend?

• M&E officers/program staff • Researchers • mid-level professionals• postgraduate students

Duration: 2 Weeks

Training Cost: ZMK : 3,200

Learning Objectives • To enable participants, learn how to design evaluations for different project/programs• To enable participants to draft ToRs/Respond to ToRs• To enable participants produce reports and disseminate findings

Dates:24th May- 5th June 2020

Course Description

The aim of this course is to equip participants with skills to assess the efficiency, relevance,effectiveness, sustainability and impact of a project, programme or policy in bringing about a desired change in the well-being of the target population, and to measure improvements in pre-defined indicators in the sector concerned that can be attributed to the project intervention.An evaluation is usually undertaken during a defined period, including prior to implementation(baseline), mid-term, end line and or impact.

Course Content

• • Introduction to evaluation principles and standards • Evaluation research designs; Randomised control trials, Quasi-experimental designs, qualitative evaluation designs and sampling and power calculation• The evaluation problem: Attribution, selection and placement biases• Developing Evaluation Questions, objectives and criteria • Needs Assessments/Baseline, Midterm, End line/ Outcome Evaluation approaches and tools •• Developing TORS/Responding to TORs • Cost-benefit and cost-effectiveness analyses• Learn about theories and practices of evaluation• Report and Disseminate Evaluation findings

Monitoring, Evaluation,Accountability & Learning Workshop March 2020"

M&E_February_2019 :Monitoring, Evaulation & Learning Workshop, February 2019.

ME&l_February_2019 : Team work, ME&L Workshop 2019.

QRM_March_2020 : Data Management & Analysis Workshop, February 2019.

QRM_December_2019: Qualitative Data Management& Aanlysis Workshop, February 2019.