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CPS1829 Lana Clara Chikhungu et al.
            needs  to  justify  whereabouts,  humiliated,  threatened,  insulted).  Cluster
            analysis is performed using the cluster function in Stata  13.0 for Windows
            (Statacorp, Tx, USA). Clustering is performed using hierarchical cluster analysis
            based on Ward’s distance.  To decide on the number of clusters, we use a
            combination of indices which indicate optimal clustering pattern ( Calinski–
            Harabasz  pseudo-F  index  (Calinski  &  Harabasz,  1974)  and  the  Duda–Hart
            index (Duda & Hart, 1973) and dendritic analysis.
            Regression analysis
               Once  the  final  cluster  profile  was  selected,  membership  of  a  particular
            cluster  was  then  used  as  the  dependent  variable  in  a  multinomial  logistic
            regression. A multinomial logistic  regression model is appropriate because
            instead  of  running  four  separate  regression  models,  separate  logistic
            regression model for each indicator variable are estimated simultaneously.
            The model takes the form of equation 1
                                               
                                          ln (    ) = ′
                                              =0
                                              = 0 … 
                                                                                      
               In equation 1 the probability of belonging to cluster  is denoted as 
            where  there  are    clusters.  The  probability  of  belonging  to  cluster    is
            modelled as a logit function of a combination of a vector of coefficients  and
            associated predictor variables in the vector .   − 1 logits are estimated and
            the  baseline  cluster  = 0 is  omitted  to  identify  the  model.  (Anderson  &
            Rutkowski, 2008).

            3. Results
            Cluster analysis
               Five distinct clusters of abuse were extracted based on a combination of fit
            statistics and dendritic analysis.
               The  first  cluster  is  termed  no  abuse  (NA),  and  contains  women  who
            reported no experience of abuse on any of the response variables. This cluster
            comprises 25.39% of the sample.
               The second cluster extracted is characterised by Controlling Behaviour (CB).
            All women within this cluster report that they have experienced their spouse
            demanding knowledge of their whereabouts, but no other form of abuse is
            present. This cluster comprises 541 women, or 11.79% of the sample.
               The third cluster comprises general controlling behaviour (GCB). Women in
            this cluster experience high rates of jealousy from their husbands (84%) and
            their husbands demand to know whereabouts (77%), as well as lower level of
            accusations of being unfaithful (30%), isolation from friends (22%) and family
            (17%). All indicators of physical abuse are low (below 5%). This is the second
            largest cluster in the sample comprising 1245 women (27.13%).



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