Statistical Methods – Which Analysis to Use and When?
One of the most common questions in statistics is: which statistical method should you use?
Many students and researchers have data but are unsure which test to apply and how to interpret the results correctly.
The choice of method depends on several factors:
- type of variables
- number of groups
- data distribution
- research question
How to choose the right statistical method?
Before selecting a method, you should answer the following questions:
- How many variables are you analyzing?
- What are the measurement scales?
- How many groups are being compared?
- Is the data normally distributed?
- Are you testing differences or relationships?
More information: Is it allowed to get statistical help?
t-test – comparison of two groups
The t-test is used when comparing two groups (e.g., male vs female, before vs after).
ANOVA – comparison of multiple groups
ANOVA is used when comparing three or more groups.
Correlation – relationship between variables
Correlation analysis measures the relationship between two variables.
Learn more: How to interpret Pearson and Spearman correlation
Regression analysis – influence and prediction
Regression analysis allows you to examine the influence of one or more variables and make predictions.
Detailed guide: Regression analysis in SPSS – interpretation
Factor analysis (EFA / CFA)
Factor analysis is used to identify underlying structures and reduce variables.
More details: KMO and Bartlett test
Bayesian statistics
Bayesian statistics is an advanced approach to data analysis and interpretation.
Learn more: Bayesian statistics in SPSS
SEM (Structural Equation Modeling)
SEM is used for complex models and relationships between variables, especially in advanced research and PhD studies.
SPSS and statistical methods
Most statistical analyses are conducted in SPSS. Correct selection and interpretation of methods are essential.
Common mistakes
- choosing the wrong statistical method
- ignoring assumptions (normality)
- using only descriptive statistics
- incorrect interpretation
When should you seek expert help?
If you are unsure which method to use, it is recommended to involve an expert at an early stage.
Related services
Conclusion
The key is not to use the most complex method, but the correct one. Proper methodology and analysis are essential for valid results.
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Keywords
which statistical method to use, t test or anova, regression or correlation, factor analysis explained, statistical methods guide
Metatext
Which statistical method should you use? Learn when to apply t-test, ANOVA, regression, correlation, factor analysis and SEM.
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How to cite this article
APA style
Statistische Beratung Leonardo Miljko. (2026). Statistical Methods – Which Analysis to Use and When?. Statistical.agency. https://statistical.agency/en/01-about-us-statistical-company-en/01-03-08-wie-soll-ich-anfangen-en/01-03-08-p4-statistical-methods-which-analysis-to-use-and-when
Harvard style
Statistische Beratung Leonardo Miljko (2026) Statistical Methods – Which Analysis to Use and When?. Statistical.agency. Available at: https://statistical.agency/en/01-about-us-statistical-company-en/01-03-08-wie-soll-ich-anfangen-en/01-03-08-p4-statistical-methods-which-analysis-to-use-and-when (Accessed: October 14, 2026).
AMA style
Statistische Beratung Leonardo Miljko. Statistical Methods – Which Analysis to Use and When?. Statistical.agency. Updated 2026. Revision 7. Accessed October 14, 2026. https://statistical.agency/en/01-about-us-statistical-company-en/01-03-08-wie-soll-ich-anfangen-en/01-03-08-p4-statistical-methods-which-analysis-to-use-and-when
DOI-like identifier
66.1248/statistical.agency.2291-2293.2026-v7Internal persistent identifier for citing this article.
SCId
66.1248/statistika.hr.2291.2026
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