Types of Quantitative Analysis
1 / Descriptive Statistics
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Summarizes data using means, medians, modes.
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Includes variability: SD, variance, range.
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Foundation for understanding distributions
2 / Inferential Statistics
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Draws conclusions about populations.
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Hypothesis testing, confidence intervals.
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Uses sample data to infer broader trends.
3 / Correlation Analysis
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Measures relationships between variables.
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Pearson, Spearman coefficients.
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Indicates strength + direction, not causation.
4 / Regression Analysis
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Models relationships between variables.
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Simple + multiple linear regression.
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Used for prediction and explanation.
5 / ANOVA/MANOVA
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Compares means across groups.
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ANOVA: one DV; MANOVA: multiple DVs.
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Tests group differences statistically.
6 / Experimental Design
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Controlled manipulation of variables.
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Random assignment + control groups.
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Strongest for causal inference.
7 / Quasi-Experimental Methods
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Used when randomization isn't possible.
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Includes matching + difference-in-differences.
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Supports causal inference with constraints.
8 / Structural Equation Modeling
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Tests complex variable relationships.
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Combines factor analysis + regression.
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Ideal for latent constructs.