Category
Quantitative Analysis
Everything you need to run your statistics and explain what the numbers actually mean.
Most popular
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Quantitative Data Analysis 101
Descriptive and inferential statistics, and how to choose between them
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What (Exactly) Is Research Design?
The overall plan that connects your questions to your methods
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What Are Descriptive Statistics?
Means, medians, modes & more – explained simply
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Research Hypothesis Examples
Six sample hypotheses from real dissertations, with our comments
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What If My Results Aren't Statistically Significant?
What a null result means for your study
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Can You Remove Outliers from Your Dataset?
How to decide, and how to document what you did
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What Do Dissertation Markers Really Want?
What examiners actually look for in a submission
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How Do I Choose the Right Statistical Test?
Matching the test to your goal and your data type
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What's the Difference Between Ontology and Epistemology?
Both terms in plain language, with examples
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How Do I Choose the Right Research Methodology for My Dissertation?
What actually drives the choice, beyond the textbook list
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Should I Use Mixed Methods Research?
The costs to weigh before you commit
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Triangulation in Research: The Basics
Data, methodology, investigator and theoretical triangulation
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What Are Inferential Statistics?
From sample to population: the tests, when to use them, what they mean
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Validity & Reliability in Research
A plain-language explanation (with examples)
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How to Write the Results Section
For QUANTITATIVE studies – includes free template
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Qualitative vs Quantitative Research 101
How to choose the right methodology for your project
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