Naslov
Independent samples - More hypotheses testing

Autori
Knežević, Blaženka ; Žmuk, Berislav

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Experimental design and biometric research. Toward innovations

Urednik/ci
Białowąs, Sylwester

Izdavač
Poznań University of Economics and Business

Grad
Poznań

Godina
2021

Raspon stranica
129-151

ISBN
978-83-8211-079-1

Ključne riječi
analysis of variance ; ANOVA ; two-way analysis of variance without replication ; two-way analysis of variance with replication

Sažetak
Two-way analysis of variance (ANOVA) without replication is called a factorial ANOVA with two factors. It is used to test if there is a significant difference between means of several sets of data (groups) dependable on two independent factors. It is applied when we have one measurement variable and two nominal variables (usually called ‘factors’ or ‘main effects’). In this chapter hypotheses and assumptions of the method are given. Then the example of the procedure of two-way analysis of variance (ANOVA) without replication is described in details. The two-way analysis of variance (ANOVA) with replication is utilized to simultaneously test the effects of varying two variables for a sample which consists of more than one respondent per a certain combination of variables. The example of the procedure of two-way analysis of variance (ANOVA) with replication is described in details in this chapter. For both procedures the easy to follow examples shows the procedure step-by-step. The practical part includes the guidance for SPSS and for Excel.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

POVEZANOST RADA