Independent samples - More hypotheses testing (CROSBI ID 71024)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Knežević, Blaženka ; Žmuk, Berislav
engleski
Independent samples - More hypotheses testing
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.
analysis of variance ; ANOVA ; two-way analysis of variance without replication ; two-way analysis of variance with replication
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Podaci o prilogu
129-151.
objavljeno
10.18559/978-83-8211-079-1/III2
Podaci o knjizi
Białowąs, Sylwester
Poznań: Poznań University of Economics and Business
2021.
978-83-8211-079-1