Chi | chi square trend test spss
Chi-SquareTestforAssociationusingSPSSStatistics-Procedure,assumptionsandreportingtheoutput Introduction Thechi-squaretestforindependence,alsocalledPearsonschi-squaretestorthechi-squaretestofassociation,isusedtodiscoverifthereisarelationshipbetweentwocategoricalvariables. SPSSStatistics Assumptions Whenyouchoosetoanalyseyourdatausingachi-squaretestforindependence,youneedtomakesurethatthedatayouwanttoanalyse"passes"twoassumptions.Youneedtodothisbeca...
Chi-Square Test for Association using SPSS Statistics - Procedure, assumptions and reporting the output IntroductionThe chi-square test for independence, also called Pearsons chi-square test or the chi-square test of association, is used to discover if there is a relationship between two categorical variables.
SPSS Statistics AssumptionsWhen you choose to analyse your data using a chi-square test for independence, you need to make sure that the data you want to analyse "passes" two assumptions. You need to do this because it is only appropriate to use a chi-square test for independence if your data passes these two assumptions. If it does not, you cannot use a chi-square test for independence. These two assumptions are:
Assumption #1: Your two variables should be measured at an ordinal or nominal level (i.e., categorical data). You can learn more about ordinal and nominal variables in o...