** STUDY 5 - messageSAGES WITH NEGATIONS (VS. AFFIRMATIONS AND CONTROL) DETERIORATE OUTGROUP WARMTH MORE AMONG THOSE WHO PERCEIVE HIGHER INITIAL OUTGROUP WARMTH. * We have uploaded the data set comprising all scales for the main & additional analyses; we are certainly willing to share items etc. upon request to k.winter@iwm-tuebingen.de. * N = 301. ************* Hypothesis testing: focal contrast (+2 negations, -1 affirmations, -1 control) x initial outgroup warmth => outgroup warmth. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CHANGE CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT warmth /METHOD=ENTER focal residual initial_c focal_initial residual_initial. *comparisons for high (+1SD) levels of initial outgroup warmth. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CHANGE CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT warmth /METHOD=ENTER focal residual initial_high focal_initial_high residual_initial_high. *comparisons for low (-1SD) levels of initial outgroup warmth. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CHANGE CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT warmth /METHOD=ENTER focal residual initial_low focal_initial_low residual_initial_low. *exploring outgroup comeptence as dependent variable. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CHANGE CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT competence /METHOD=ENTER focal residual initial_c focal_initial residual_initial. *************Additional analyses. *Mediation analyses. Note that the additional mediators were only assessed in negations and affirmations condition. *filter out control condition with no messages. FILTER BY filter_messages. EXECUTE. *PROCESS macro for SPSS 2.16.3 by Andrew F. Hayes (2013) must be activated to run the following analyses. *prototypicality. PROCESS vars = message proto warmth initial /y=warmth /x=message /m=proto /w=initial /model=7 /center=1. *message surprise. PROCESS vars = message surprise warmth initial /y=warmth /x=message /m=surprise /w=initial /model=7 /center=1. *source's prior attitude. PROCESS vars = message prior warmth initial /y=warmth /x=message /m=prior /v=initial /model=14 /center=1. *message difficulty. *theoretical model. PROCESS vars = message diff warmth initial /y=warmth /x=message /m=diff /w=initial /model=7 /center=1. *empirical model. PROCESS vars = message diff warmth initial /y=warmth /x=message /m=diff /v=initial /model=14 /center=1. *message extremity. PROCESS vars = message extrem warmth initial /y=warmth /x=message /m=extrem /v=initial /model=14 /center=1. *deactivate filter. filter off.