Analysis of M&E Data using SPSS Training Course

Module 1: Foundations of Data Analysis for M&E

• Introduction to the data analysis process
• Understanding different types of data (nominal, ordinal, interval, ratio)
• The role of data in M&E and decision making
• Ethical considerations in data handling and analysis
• Practical session: Creating a data analysis plan for a sample project

Module 2: Introduction to SPSS and Data Management

• The SPSS user interface: Data View and Variable View
• Entering and importing data from various sources
• Defining variables and their properties
• Sorting, filtering, and splitting data files
• Practical session: Importing data from an Excel file and setting up the Variable View in SPSS

Module 3: Descriptive Statistics and Data Visualization

• Calculating measures of central tendency (mean, median, mode)
• Calculating measures of dispersion (standard deviation, variance, range)
• Creating frequency tables and cross-tabulations
• Generating charts and graphs (bar charts, histograms, pie charts)
• Practical session: Calculating descriptive statistics and creating a series of visualizations for a survey dataset

Module 4: Understanding and Running Bivariate Analysis

• Introduction to bivariate analysis
• The purpose of comparing two variables
• Running chi-square tests for categorical variables
• Running t-tests for comparing means of two groups
• Practical session: Performing a chi-square test to examine the relationship between gender and a project outcome

Module 5: Introduction to Inferential Statistics

• The difference between descriptive and inferential statistics
• Understanding the concept of a p-value and statistical significance
• Formulating and testing hypotheses
• Selecting the appropriate statistical test
• Practical session: Formulating hypotheses and determining the correct statistical test for a given research question

Module 6: Regression Analysis for M&E Data

• Introduction to correlation and regression
• Conducting simple linear regression
• Conducting multiple linear regression
• Interpreting regression coefficients and model fit
• Practical session: Running a multiple regression analysis to identify factors influencing a key project indicator

Module 7: Data Cleaning and Validation

• Identifying and handling missing data
• Identifying and correcting data entry errors
• Recoding variables and creating new variables
• Dealing with outliers and inconsistent data
• Practical session: Performing a full data cleaning and recoding exercise on a provided dataset

Module 8: Advanced Data Analysis Techniques

• Introduction to non-parametric tests
• The use of ANOVA for comparing multiple groups
• An overview of factor analysis and reliability analysis
• Practical applications of advanced techniques in M&E
• Practical session: Conducting an ANOVA test to compare project outcomes across different regions

Module 9: Interpreting and Reporting SPSS Output

• How to read and understand SPSS output tables
• Presenting statistical findings in a clear and concise manner
• Writing the analysis section of an M&E report
• Using charts and tables to enhance reporting
• Practical session: Writing a short report based on a provided SPSS output file

Module 10: Capstone Project: End-to-End Data Analysis

A comprehensive review of all course modules

• Participants work on a full dataset from start to finish
• Data cleaning, analysis, and interpretation
• Presenting findings to the group and receiving feedback
• Practical session: Participants work on a capstone project that involves designing an M&E framework for a climate project of their choice

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588