* Encoding: UTF-8. * Encoding: . *CREATING COMPOSITES, SUMMING ACROSS IMAGE ITEMS; 1 = image choice so higher # inidicate higher # of image choices selected* DATASET ACTIVATE DataSet1. COMPUTE communicate_image=SUM(communicate_1, communicate_2, communicate_3, communicate_4). EXECUTE. COMPUTE message_emoji = SUM(message_1, message_2, message_3). EXECUTE. *COMPUTING RATIO, the summed variable divided by the total. gives percentage of image choices (or abstract choices) selected* COMPUTE communicate_image_ratio = communicate_image / 4. EXECUTE. COMPUTE message_emoji_ratio = message_emoji / 3. EXECUTE. *MAIN EFFECT* *STUDY 1 = message choice* *created ExcludeDuplicateIP variable by running "frequency" on this variable and hand coding anyone who appeared more than once as "1", all others "0"* DATASET ACTIVATE DataSet1. USE ALL. COMPUTE filter_$=(ExcludeDuplicateIP = 0 & visual = 1). VARIABLE LABELS filter_$ 'ExcludeDuplicateIP = 0 & visual = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. *differences by condition on communicating via visual means, computed as a sum and a ratio*. T-TEST GROUPS=close(0 1) /MISSING=ANALYSIS /VARIABLES=communicate_image communicate_image_ratio /CRITERIA=CI(.95). *MAIN EFFECT* *STUDY 2 = emoji choice* DATASET ACTIVATE DataSet2. USE ALL. COMPUTE filter_$=(ExcludeDuplicateIP = 0 & visual = 2). VARIABLE LABELS filter_$ 'ExcludeDuplicateIP = 0 & visual = 2 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. *differences by condition on communicating via emoji, computed as a sum and a ratio*. T-TEST GROUPS=close(0 1) /MISSING=ANALYSIS /VARIABLES=message_emoji message_emoji_ratio /CRITERIA=CI(.95). *suppplemental material - item by item analysis* *STUDY 1 = message choice* *created ExcludeDuplicateIP variable by running "frequency" on this variable and hand coding anyone who appeared more than once as "1", all others "0"* DATASET ACTIVATE DataSet1. USE ALL. COMPUTE filter_$=(ExcludeDuplicateIP = 0 & visual = 1). VARIABLE LABELS filter_$ 'ExcludeDuplicateIP = 0 & visual = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. CROSSTABS /TABLES=close BY communicate_1 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. CROSSTABS /TABLES=close BY communicate_2 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. CROSSTABS /TABLES=close BY communicate_3 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. CROSSTABS /TABLES=close BY communicate_4 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. *STUDY 2 = emoji choice* USE ALL. COMPUTE filter_$=(ExcludeDuplicateIP = 0 & visual = 2). VARIABLE LABELS filter_$ 'ExcludeDuplicateIP = 0 & visual = 2 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. CROSSTABS /TABLES=close BY message_1 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. CROSSTABS /TABLES=close BY message_2 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL. CROSSTABS /TABLES=close BY message_3 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL.