BLACKWOOD, LOUIS (2016). EJSP
CODING FOR STUDIES 1 - 4

STUDY 1 CODING

Coding for ChooseY variable.
compute R_Choose_R = 3-Choose_R.
compute choose = mean (Choose_1, R_Choose_R).

if (choose=2) chooseY = 1 .
if (choose=1) chooseY = -1 .
execute .

Coding for 'negotiating strategy condition'.
if (cont_a=1) negstrat = 0 .
if (cont_b=1) negstrat = 0 .
if (con_1a=1) negstrat = 1 .
if (con_1b=1) negstrat = 1 .
if (con_2a=1) negstrat = -1 .
if (con_2b=1) negstrat = -1 .
execute .

Coding for 'effective' variable.
compute Effect_6_r = 8-Effect_6.
compute Effect_3_r = 8-Effect_3.
compute effective_4items = mean.3 (Effect_1, Effect_6_r, Effect_3_r, Effect_4).

Coding for 'prototypical' variable.
compute Proto_1_1_r = 8-Proto_1_1.
compute Proto_1_5_r = 8-Proto_1_5.
compute prototypical_4items = mean.3 (Proto_1_1_r, Proto_1_2, Proto_1_3, Proto_1_5_r).

Contrasts.
if (negstrat=0) ognoinfo = 2 .
if (negstrat~=0) ognoinfo = -1 .
execute .



STUDY 2 CODING

Coding for 'chooseA' variable.
if (choose=2) chooseA = -1 .
if (choose=1) chooseA = 1 .
execute .

Coding for 'ogpref' variable.
if (control=1) ogpref = 0 .
if (condition_1=1) ogpref = 1 .
if (condition_2=1) ogpref = -1 .
execute .

value labels ogpref 1 'OG prefers A' 0 'no info control' -1 'OG prefers not A' .
execute.

Coding for 'effective' variable.
compute Norm_2_1R = 8 - Norm_2_1.
compute effective = mean (Effec_1_1, Effec_3_1, Norm_2_1R).

 
Coding for 'protoypical' variable.
compute Proto_2_1R = 8 - Proto_2_1.
compute prototypical = mean (Proto_1_1, Proto_2_1R).

Contrasts.
if (ogpref=0) ognoinfo = 2 .
if (ogpref~=0) ognoinfo = -1 .
execute .


STUDY 3 CODING

Coding for 'ChooseN' variable.
compute R_Choose_R = 3-Choose_R.
compute ChooseO = mean (Choose, R_Choose_R).
compute ChooseN = 3 - ChooseO.

Coding for 'ognegotiate' variable
if (con_1a=1) ognegotiate = 1 .
if (con_2a=1) ognegotiate = 1 .
if (con_1b=1) ognegotiate = -1 .
if (con_2b=1) ognegotiate = -1 .
execute .

Coding for 'N_effective' variable.
compute Effect_6_r = 8-Effect_6.
compute Effect_3_r = 8-Effect_3.
compute Q52_1_r = 8-Q52_1.
compute Q52_4_r = 8-Q52_4.
compute effect_better = mean.1 (Effect_1, Q52_1_r).
compute effect_effective = mean (Effect_3_r, Q52_3).
compute effect_influence_og = mean (Effect_4, Q52_4_r).
compute effect_influential_og = mean (Effect_6_r, Q52_6).

compute effectiveness = mean(effect_better, effect_effective, effect_influence_og, effect_influential_og ) .
execute .
compute N_effective = 8 - effectiveness.


Coding for 'N_prototypical' variable.
compute Proto_1_1_r = 8-Proto_1_1.
compute Proto_1_5_r = 8-Proto_1_5.
compute Q48_2_r = 8-Q48_2.
compute Q48_3_r = 8-Q48_3.
compute proto_typical = mean.1 (Proto_1_1_r, Q48_1).
compute proto_characteristic = mean.1 (Proto_1_2, Q48_2_r).
compute proto_values = mean.1 (Proto_1_3, Q48_3_r).
compute proto_embody = mean.1 (Proto_1_5_r, Q48_5).

compute prototypicality = mean(proto_typical, proto_characteristic, proto_values, 
    proto_embody ) .
execute .
compute N_prototypical = 8 - prototypicality.



STUDY 4 CODING
Recoding to correct data entry.
RECODE Q11.2_1 Q11.2_2 Q11.2_3 Q11.2_4 Q11.2_6 Q11.2_7 (2=1) (3=2) (4=3) (5=4) (6=5) (9=6) (10=7) 
    (MISSING=SYSMIS).
EXECUTE.


Coding for 'ChooseN' variable.
compute rQ10.1 = 3-Q10.1.
compute ChooseN = sum(Q10.2, rQ10.1).

Coding for 'ognegotiate' variable.
if (Q8.1=1) ognegotiate = -1.
if (Q8.2=1) ognegotiate = 1.
execute.

Coding for 'N_effective' variable.
compute rQ11.1_3 = 8-Q11.1_3.
compute rQ11.1_6 = 8-Q11.1_6.
compute rQ11.2_3 = 8-Q11.2_3.
compute rQ11.2_6 = 8-Q11.2_6.

compute Q11.1 = mean.4 (Q11.1_1, rQ11.1_3, Q11.1_4, rQ11.1_6).
compute Q11.2 = mean.4 (Q11.2_1, rQ11.2_3, Q11.2_4, rQ11.2_6).
compute rQ11.1 = 8 - Q11.1.
compute N_effective = mean.1 (rQ11.1, Q11.2).


Coding for 'N_prototypical' variable.
compute RQ12.1_1 = 8-Q12.1_1.
compute RQ12.1_5 = 8-Q12.1_5.
compute RQ12.2_1 = 8-Q12.2_1.
compute RQ12.2_5 = 8-Q12.2_5.

compute Q12.1 = mean.3 (RQ12.1_1, Q12.1_2, Q12.1_3, RQ12.1_5).
compute Q12.2 = mean.3 (RQ12.2_1, Q12.2_2, Q12.2_3, RQ12.2_5).
compute rQ12.1 = 8 - Q12.1.
compute N_prototypical = mean.1 (rQ12.1, Q12.2).