Which statistical method should you use? Learn when to apply t-test, ANOVA, regression, correlation, factor analysis and SEM.

Statistical Methods – Which Analysis to Use and When?

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.

Contact

This email address is being protected from spambots. You need JavaScript enabled to view it.

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.

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: September 27, 2026).
AMA style
Statistische Beratung Leonardo Miljko. Statistical Methods – Which Analysis to Use and When?. Statistical.agency. Updated 2026. Revision 7. Accessed September 27, 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-v7
Internal persistent identifier for citing this article.
SCId
66.1248/statistika.hr.2291.2026

Client reviews

Trust built through real client feedback and strong ratings.
G
★★★★★
5.0/5.0
60 published reviews
★★★★★
Google review
“Every type of communication with Leonardo was professional, kind and very customer oriented. Without any hesitation it can be said that Leonardo is a professional who loves his job! Only recommendations from my side.”
Lana Mladenovic
Reply
Dear Lana Mladenovic, Thank you for your wonderful review of our communication and collaboration. I greatly appreciate your feedback. I am glad to hear that every aspect of our communication was professional, kind, and customer-oriented. Providing excellent customer service is important to me, and I'm pleased that I was able to meet your expectations in that regard. It's rewarding to know that you found my approach to be professional and customer-focused. I am truly passionate about my work, and your comment about me being a professional who loves his job means a lot to me. I believe that passion translates into the quality of the service I provide, and I am grateful that it was evident during our collaboration. I sincerely appreciate your recommendation, and I would be delighted to work with you again in the future. If you have any further needs or require any assistance, please feel free to reach out. Thank you once again for your kind words and support. Wishing you continued success in your endeavors. Best regards, Leonardo Miljko Statistische Beratung und Datenanalyse Leonardo Miljko gew.
★★★★★
Google review
“Hvala ti Leonardo na poslu koji si nam zavrsio i strucnosti koju si pokazao.Sve preporuke.”
Ivana Todorovic
Reply
Dear Ivana Todorovic, Thank you for your feedback and kind words regarding the work I completed for you. I greatly appreciate your appreciation of my expertise. I'm glad to hear that you were satisfied with the results and found my work to be professional. Providing high-quality service is important to me, and I'm delighted that I was able to meet your expectations. Your recommendation means a lot to me, and I'm grateful for your trust and support. If you have any future projects or require further assistance, please don't hesitate to reach out. Thank you once again for your feedback and the opportunity to work with you. Wishing you all the best. Best regards, Leonardo Miljko Statistische Beratung und Datenanalyse Leonardo Miljko gew. / Poštovana Ivana Todoroviću, Hvala vam na povratnim informacijama i lijepim riječima u vezi s poslom koji sam obavio za vas. Izuzetno cijenim što cijenite moju stručnost. Drago mi je čuti da ste bili zadovoljni rezultatima i da ste moj rad ocijenili profesionalnim. Pružanje usluge visoke kvalitete važno mi je i drago mi je što sam uspio ispuniti vaša očekivanja. Vaša preporuka mi puno znači i zahvaljujem na povjerenju i podršci. Ako imate bilo kakvih budućih projekata ili vam je potrebna dodatna pomoć, nemojte se ustručavati kontaktirati. Hvala vam još jednom na povratnim informacijama i prilici da radimo s vama. Želim ti sve najbolje. Lijepi Pozdrav, Leonardo Miljko Statistische Beratung und Datenanalyse Leonardo Miljko gew.
★★★★★
Google review
“I engaged Leonardo Miljko in order to improve my research with advanced statistical methods in May 2023. He was much more advisor than contributor and that greatly improved the quality of the article. He is extremely professional, efficient and I recommend him to everyone involved in scientific work.”
Snezana Videnovic
Reply
Dear Snjezana, Thank you so much for your kind review regarding our collaboration in May 2023. I greatly appreciate your feedback. I'm glad to hear that my role as an advisor had a positive impact on your research. It was a pleasure to assist you in applying advanced statistical methods, and I'm thrilled to know that this significantly improved the quality of your article. As an advisor, my goal is to provide guidance and support to researchers like you, and I'm delighted that I was able to fulfill that role effectively. I am honored by your description of me as extremely professional and efficient. These qualities are essential in scientific work, and I always strive to maintain the highest level of professionalism in my interactions. Your recommendation of my services to others involved in scientific work means a lot to me, and I am grateful for your trust and confidence. If you have any further research needs or require assistance in the future, please don't hesitate to reach out. Thank you once again for your kind words, and I wish you continued success in your scientific endeavors. Best regards, Leonardo Miljko Statistische Beratung und Datenanalyse Leonardo Miljko gew.
★★★★★
Google review
“Izvrsna suradnja – analiza provedena jasno, temeljito i profesionalno, uz pravovremenu komunikaciju i spremnost na pojašnjenja.”
svjetlana kelava
Reply
Draga dr. Svjetlana Mikulić Kelava, Hvala Vam na izuzetnoj recenziji! Drago nam je da ste bili zadovoljni našom suradnjom i analizom. Trudimo se uvijek pružiti jasnu, temeljitu i profesionalnu uslugu, uz pravovremenu komunikaciju i spremnost na pojašnjenja. Bilo nam je zadovoljstvo raditi s Vama i nadamo se budućoj suradnji. Srdačno, Statistische Beratung und Datenanalyse Leonardo Miljko

Kontakt

Statistische Beratung und Datenanalyse Leonardo Miljko gew.
Zum Alten Hofgarten 21,
DE-94405 Landau an der Isar
Tel./WhatsApp: +49-178-8955-751
Viber/WhatsApp: +387-63-997-996
E-Mail:
This email address is being protected from spambots. You need JavaScript enabled to view it.
This email address is being protected from spambots. You need JavaScript enabled to view it.
WEB:
Statistische Beratung und Datenanalyse Leonardo Miljko gew.

Protected by RSFirewall! Module

This website is protected by RSFirewall!, the firewall solution for Joomla!
Alle Bewertungen
Erfahrungen & Bewertungen zu Statistische Beratung und Datenanalyse

 

Erfahrungen & Bewertungen zu Statistische Beratung und DatenAnalyse

 

Logo WebSiteDesign.Bayern