Advanced Certificate in Educational Evaluation: Data Mastery
-- ViewingNowThe Advanced Certificate in Educational Evaluation: Data Mastery is a comprehensive course designed to empower educators and evaluation professionals with the skills to leverage data for improved educational outcomes. In an era of evidence-based decision making, this course is increasingly important, providing learners with the ability to collect, analyze, and interpret data to inform policy and practice.
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• Advanced Statistical Analysis: This unit covers various advanced statistical methods and techniques used in educational evaluation, such as regression analysis, factor analysis, and structural equation modeling.
• Data Visualization and Reporting: In this unit, students learn how to effectively present quantitative data and evaluation findings using data visualization tools and techniques, as well as how to write clear and concise evaluation reports.
• Survey Design and Implementation: This unit focuses on the principles and best practices of survey design and implementation, including question development, sampling, and data collection methods.
• Experimental Design and Quasi-Experimental Design: Students learn about the different types of experimental and quasi-experimental designs used in educational research and evaluation, including randomized controlled trials, regression discontinuity designs, and interrupted time series designs.
• Longitudinal Data Analysis: This unit covers the methods and techniques used to analyze longitudinal data, including multilevel modeling, growth curve modeling, and survival analysis.
• Multivariate Analysis: This unit covers the principles and techniques of multivariate analysis, including multiple regression, discriminant analysis, and factor analysis.
• Measurement and Evaluation: This unit focuses on the principles and best practices of measurement and evaluation in education, including the development and validation of assessment instruments and the use of data to inform decision making.
• Program Evaluation: This unit covers the principles and best practices of program evaluation, including the design and implementation of evaluations of educational programs and interventions.
• Data Ethics and Confidentiality: Students learn about the ethical and legal considerations surrounding the collection, storage, and use of educational data, including issues related to confidentiality, privacy, and informed consent.
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- ThreeFourHoursPerWeek
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