* Encoding: UTF-8. DATASET ACTIVATE DataSet1. ***Variable names: Father's work-to-family conflict: vater_wtfkonflikt Father's family-to-work conflict: vater_ftwkonflikt ***Open clustering and exploration of 3, 4, and 5-cluster options: TWOSTEP CLUSTER /CONTINUOUS VARIABLES=vater_ftwkonflikt vater_wtfkonflikt /DISTANCE LIKELIHOOD /NUMCLUSTERS AUTO 15 BIC /HANDLENOISE 0 /MEMALLOCATE 64 /CRITERIA INITHRESHOLD(0) MXBRANCH(8) MXLEVEL(3) /VIEWMODEL DISPLAY=YES. ***3-cluster option: TWOSTEP CLUSTER /CONTINUOUS VARIABLES=vater_ftwkonflikt vater_wtfkonflikt /DISTANCE LIKELIHOOD /NUMCLUSTERS FIXED=3 /HANDLENOISE 0 /MEMALLOCATE 64 /CRITERIA INITHRESHOLD(0) MXBRANCH(8) MXLEVEL(3) /VIEWMODEL DISPLAY=YES. /SAVE VARIABLE=vater_konflikt_cluster3. ***4-Cluster option: TWOSTEP CLUSTER /CONTINUOUS VARIABLES=vater_ftwkonflikt vater_wtfkonflikt /DISTANCE LIKELIHOOD /NUMCLUSTERS FIXED=4 /HANDLENOISE 0 /MEMALLOCATE 64 /CRITERIA INITHRESHOLD(0) MXBRANCH(8) MXLEVEL(3) /VIEWMODEL DISPLAY=YES. ***5-Cluster option: TWOSTEP CLUSTER /CONTINUOUS VARIABLES=vater_ftwkonflikt vater_wtfkonflikt /DISTANCE LIKELIHOOD /NUMCLUSTERS FIXED=5 /HANDLENOISE 0 /MEMALLOCATE 64 /CRITERIA INITHRESHOLD(0) MXBRANCH(8) MXLEVEL(3) /VIEWMODEL DISPLAY=YES. ***The 4-cluster option was the best, so it was selected to be the outcome variable. ***Naming the newly computed outcome variable: VALUE LABELS vater_konflikt_cluster4 1 "Cluster:Sandwiched" 2 "Cluster: Family-burdened" 3 "Cluster: Balanced" 4 "Cluster: Work-burdened". FREQUENCIES vater_konflikt_cluster4. ***Computing the multinominal logistic regression ***Variable names: *Outcome variable: vater_konflikt_cluster4 = group membership of the father in the newly computed typology of work-family conflict *Control variables: schulabschl_pa_3kat = mother's education attainment schulabschl_ap_3kat = father's education attainment erwerbskonst_4kat_ref = employment pattern Kinderanzahl_3kat_ref = number of children in the family minkid_4kat1_ref1 = age of the youngest child aequiek_5kat_ref2 = adjusted family income *Predictor variables: pendeln_pa_ref = father's commuting time vater_arbeitsstunden_neu_nerw_5kat_ref = father's work hours übernacht_pa_3kat_ref = number of overnight work trips entgrenzarbeit_pa = intrusiveness of work hours soz_prestige_pa = job autonomy v24044 = engagement with child on Sundays v24045 = engagement with child on workdays vater_aufteil = paternal share of childcare arbeitsteilung = paternal share of housework Zeitverwendung_partner_re = time spent with spouse zeitverwendung_familie_re = time spent with family zufriedenheit_partner = couple relationship satisfaction gern_familie = enjoyment of family time ***Descriptives FREQUENCIES schulabschl_pa_3kat schulabschl_ap_3kat erwerbskonst_4kat_ref pendeln_pa_ref Kinderanzahl_3kat_ref minkid_4kat1_ref1 aequiek_5kat_ref2 vater_arbeitsstunden_neu_nerw_5kat_ref übernacht_pa_3kat_ref. FREQUENCIES v24044 v24045 vater_aufteil arbeitsteilung Zeitverwendung_partner_re zeitverwendung_familie_re. FREQUENCIES soz_prestige_pa. DESCRIPTIVES VARIABLES=entgrenzarbeit_pa soz_prestige_pa zufriedenheit_partner gern_familie /STATISTICS=MEAN STDDEV MIN MAX. ***Multinominal logistic regression NOMREG vater_konflikt_cluster4 (BASE=3 ORDER=ASCENDING) BY schulabschl_pa_3kat schulabschl_ap_3kat erwerbskonst_4kat_ref pendeln_pa_ref Kinderanzahl_3kat_ref minkid_4kat1_ref1 aequiek_5kat_ref2 vater_arbeitsstunden_neu_nerw_5kat_ref übernacht_pa_3kat_ref WITH entgrenzarbeit_pa soz_prestige_pa v24044 v24045 vater_aufteil arbeitsteilung Zeitverwendung_partner_re zeitverwendung_familie_re zufriedenheit_partner gern_familie /CRITERIA CIN(95) DELTA(0) MXITER(100) MXSTEP(5) CHKSEP(20) LCONVERGE(0) PCONVERGE(0.000001) SINGULAR(0.00000001) /MODEL /STEPWISE=PIN(.05) POUT(0.1) MINEFFECT(0) RULE(SINGLE) ENTRYMETHOD(LR) REMOVALMETHOD(LR) /INTERCEPT=INCLUDE /PRINT=CELLPROB CLASSTABLE FIT PARAMETER SUMMARY LRT CPS STEP MFI.