Module 1: Introduction to Psychological Statistics
This module introduces the fundamental principles of psychological statistics, including the concept of probability, types of data, and levels of measurement. Participants will learn about the importance of statistical methods in health and safety research and develop a basic understanding of statistical notation and terminology.
Key Topics Covered:
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Introduction to psychological statistics
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Types of data and levels of measurement
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Probability and statistical notation
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Importance of statistical methods in health and safety research
Module 2: Research Design and Data Collection
This module covers the principles of research design and data collection, including the concept of sampling, experimental and non-experimental designs, and data collection methods. Participants will learn about the importance of reliability and validity in research design and develop practical skills in data collection and management.
This technical module covers the principles of ergonomic workplace design. You'll learn to analyze workstations, tools, and equipment to optimize them for human use, reducing strain and improving efficiency.
Well-designed workspaces can increase productivity by up to 25% while simultaneously reducing error rates and injury risks.
Key Topics Covered:
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Research design and sampling
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Experimental and non-experimental designs
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Data collection methods and instruments
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Reliability and validity in research design
Module 3: Descriptive Statistics and Data Visualization
This module introduces the principles of descriptive statistics, including measures of central tendency, variability, and data visualization. Participants will learn about the importance of data visualization in communicating research findings and develop practical skills in using statistical software to analyze and visualize data.
Key Topics Covered:
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Measures of central tendency and variability
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Data visualization and graphical representation
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Descriptive statistics and data summary
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Using statistical software for data analysis and visualization
Module 4: Inferential Statistics and Hypothesis Testing
This module covers the principles of inferential statistics, including hypothesis testing, confidence intervals, and statistical significance. Participants will learn about the importance of inferential statistics in health and safety research and develop practical skills in conducting hypothesis tests and interpreting results.
Key Topics Covered:
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Introduction to inferential statistics
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Hypothesis testing and statistical significance
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Confidence intervals and estimation
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Interpreting results and drawing conclusions
Module 5: 2-Factor 2-Level Tables and Statistical Analysis
This module introduces the principles of 2-factor 2-level tables and statistical analysis, including the concept of interaction and main effects. Participants will learn about the importance of 2-factor 2-level tables in health and safety research and develop practical skills in conducting statistical analyses and interpreting results.
Key Topics Covered:
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Introduction to 2-factor 2-level tables
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Main effects and interaction
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Conducting statistical analyses and interpreting results
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Applying 2-factor 2-level tables in health and safety research
Module 6: Advanced Statistical Methods and Data Analysis
This module covers advanced statistical methods, including regression analysis, time series analysis, and multivariate analysis. Participants will learn about the importance of advanced statistical methods in health and safety research and develop practical skills in conducting complex data analyses and interpreting results.
Key Topics Covered:
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Introduction to advanced statistical methods
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Regression analysis and time series analysis
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Multivariate analysis and data reduction
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Applying advanced statistical methods in health and safety research
