Education Statistics Training Professional Short Course, 28 July | Event in Nairobi, Kenya | AllEvents

Education Statistics Training Professional Short Course

Indepth Research Institute

Highlights

Mon, 28 Jul, 2025 at 05:00 am

Online event

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Date & Location

Mon, 28 Jul, 2025 at 05:00 am - Fri, 01 Aug, 2025 at 09:00 am (GMT+00:00)

Online event

Nairobi, Kenya

About the event

Education Statistics Training Professional Short Course
This training course offered by IRES is designed to equip participants with essential statistical tools and methodologies to analyze and interpret educational data effectively. This course covers a range of topics from basic statistical concepts to more advanced techniques tailored specifically for the education sector. Participants will gain practical experience in applying statistical methods to real-world educational data, enabling them to make data-driven decisions that can enhance educational outcomes. By the end of this course, participants will be proficient in using statistical software and techniques to conduct thorough analyses, generate meaningful reports, and contribute to policy-making processes within the educational context.

Duration

5 days

Target Audience

Educators and Teachers
School Administrators
Educational Researchers
Policy Makers and Analysts
Organizational Impact

Enhanced decision-making based on data-driven insights.
Improved educational outcomes through the effective use of statistical analysis.
Better policy formulation and implementation supported by empirical evidence.
Strengthened capacity to evaluate and improve educational programs and interventions.
Personal Impact

Increased proficiency in statistical analysis and interpretation of educational data.
Greater confidence in using statistical tools and software for education-related research.
Enhanced ability to contribute to educational policy and decision-making processes.
Development of critical thinking skills through the application of statistics to real-world educational challenges.
Course Level: Intermediate
Course Objectives

Understand the fundamental concepts and principles of educational statistics.
Develop skills in organizing, summarizing, and visualizing educational data.
Apply descriptive and inferential statistical methods to analyze educational data.
Interpret the results of statistical analyses in the context of educational research.
Utilize statistical software to perform basic and advanced statistical analyses.
Design and evaluate research studies using appropriate statistical methods.
Course Outline

Module 1: Introduction to Education Statistics

Overview of statistical concepts and their relevance in education.
Types of data in education: Quantitative vs. Qualitative.
Descriptive statistics: Measures of central tendency and variability.
Introduction to statistical software used in education.
Case Study: Analyzing Student Performance Data in a School District.
Module 2: Data Collection and Sampling Techniques

Methods of data collection in educational research.
Designing surveys and questionnaires for educational studies.
Sampling methods and their implications in education.
Dealing with missing data and data quality issues.
Case Study: Designing a Survey to Assess Student Engagement in a University.
Module 3: Inferential Statistics in Education

Hypothesis testing and confidence intervals.
Comparing means using t-tests and ANOVA.
Correlation and regression analysis in educational research.
Practical application of inferential statistics using educational datasets.
Case Study: Examining the Relationship between Teacher Quality and Student Achievement.
Module 4: Advanced Statistical Techniques for Educational Research

Multivariate analysis: Principal Component Analysis (PCA) and Factor Analysis.
Structural Equation Modeling (SEM) in education.
Longitudinal data analysis in educational settings.
Applying advanced techniques to complex educational data.
Case Study: Analyzing the Impact of Socioeconomic Status on Educational Attainment Over Time.
Module 5: Reporting and Visualizing Educational Data

Best practices for presenting statistical findings.
Creating effective visualizations for educational data.
Writing comprehensive reports for educational stakeholders.
Communicating statistical results to non-technical audiences.
Case Study: Developing a Report on the Effectiveness of a New Curriculum Program.


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Education Statistics Training Professional Short Course, 28 July | Event in Nairobi, Kenya | AllEvents
Education Statistics Training Professional Short Course
Mon, 28 Jul, 2025 at 05:00 am