Joseph Peniel Analytics Presents...
A Workshop on Research Writing, Statistical Thinking and Data Analysis technique: an in-depth-approach
Overview
This 4-day workshop will help participants write and interpret published research and perform statistical analysis on their own.
The course will familiarize participants with basic and intermediate techniques for the statistical analysis of data. Statistical Analytic Software’s, for example, Excel, SPSS and Epi-Info ® will be leveraged to illustrate concepts and to serve as a platform for data analysis.
Training Objectives
Research Writing & Publication
Learn how to plan your research work, structure your research paper for publication, learn the proper scientific language when writing, ethical standards and avoid plagiarism.
Reference Management Software (Mendeley)
Learn how to improve your research writing by using a Reference Management Software.
Literature Search and Review
Explore literature search and review techniques using Openly Accessible repositories.
Survey Methods & Sampling Techniques
Learn the foundation in building survey methodology and how to clearly set your research agenda through a sound methodology.
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Gain knowledge on different sampling techniques, learn how to write a good research question, test the reliability of your questionnaire and prepare your data for analysis.
Data Management and Manipulation
Understand how to recognize which types of analysis are best suited to particular types of data and problems.
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Understanding a range of analytical techniques and presentation methods using numerical data.
Statistical Analysis
Learn how to utilize statistical tests, introduce both parametric and non-parametric tests including regression and correlational analysis.
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Explore the use of Microsoft Excel, SPSS and Epi-Info® Data Analysis Tool Pack and their capabilities.
Course Outline
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Research Writing for Publication
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Using a Reference Management Software (Mendeley)
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Fundamental Statistics (Quantitative Methods for Health and Epidemiological Research)
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Data Checking, Cleaning and Descriptive Statistics
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Describing the Data with Charts, Figures and Tables
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Parametric and Non-Parametric Statistics
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Inferential Statistics and Test of Significance
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Factorial Analysis (Principal Component Analysis-PCA)
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Confidence intervals and p-values
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Regression and Correlational Analysis