{"id":143,"date":"2017-04-08T00:07:40","date_gmt":"2017-04-08T00:07:40","guid":{"rendered":"http:\/\/sites.warnercnr.colostate.edu\/jerryv\/?page_id=143"},"modified":"2017-09-21T17:59:42","modified_gmt":"2017-09-21T17:59:42","slug":"calculating-pci2-spss","status":"publish","type":"page","link":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/calculating-pci2-spss\/","title":{"rendered":"Calculating PCI2 in SPSS"},"content":{"rendered":"
\n

General Overview<\/h3>\n

All files should be stored in the directory C:\\PCI
\nIf this directory does not exist, you will need to create it.<\/span>
\nFile names should not contain any spaces.<\/p>\n<\/div>\n

\n

To Calculate PCI2<\/sub> in SPSS:<\/h3>\n

Download and unzip the SPSS PCI2<\/sub> macro: SPSS_macro <\/a>
\nCompile the macro that generates the PCI2<\/sub>
\nHighlight all code between<\/span>
\n“DEFINE” (line 30)<\/span>
\nand “!ENDDEFINE” (line 284)<\/span>
\nClick the “Run” button<\/span><\/p>\n

The following code generates the PCI2<\/sub><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
SPSS command<\/td>\nComment<\/td>\n<\/tr>\n<\/thead>\n
PCI2<\/sub> infile=|’C:\\PCI\\Example.sav’|<\/td>\nOriginal input filename
\nReplace “Example” with the name of your file<\/td>\n<\/tr>\n
outfile=|’C:\\PCI\\Example.CSV’|<\/td>\nOutput filename
\nReplace “Example” with the name of your file<\/td>\n<\/tr>\n
PCIOUT=|’C:\\PCI\\Sim_Data.sav’|<\/td>\nOutput filename Do not change the name of this file<\/td>\n<\/tr>\n
WORKDIR=|C:\\PCI\\|<\/td>\nWorking directory (must be C:\\PCI)<\/td>\n<\/tr>\n
SubSample1=Sex
\nSubSample2=???
\nSubSample3=???
\nSubsample4=???<\/td>\n		Subsample(s) calculate PCI for each group
\n(e.g., males and females in this example)
\nUp to 4 Subsample variables can be specified.
\nIf the analysis does not have any Subsamples these lines can be eliminated<\/td>\n<\/tr>\n
Scale_width=7<\/td>\nScale width (e.g., 2, 3, 4, 5, 6, 7, 8, 9)
\nThis example is based on a 7-point scale
\nReplace the 7 with the width of your scale<\/td>\n<\/tr>\n
var={VARIABLE NAME}<\/td>\nVariable to be used in PCI calculation<\/td>\n<\/tr>\n
Distance_function=D1<\/sub><\/td>\nDistance Function:
\nD1<\/sub> (or D2<\/sub>) for bipolar scales
\nD1<\/sub> currently recommended for bipolar
\nD3<\/sub> for unipolar scales<\/td>\n<\/tr>\n
Power_of_distance=|1.5<\/td>\nPower:
\nP1<\/sub> = 1 = Unsquared difference scores
\nP2<\/sub> = 2 = Squared difference scores
\nPower can be any value > 0 and < 5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n

The following files are examples of SPSS data, macro syntax, and output<\/p>\n\n\n\n\n\n\n\n
File type<\/td>\nFile name<\/td>\n<\/tr>\n
Data<\/td>\nGalapagos.sav<\/td>\n<\/tr>\n
Syntax<\/td>\nGalapagos_macro.sps<\/td>\n<\/tr>\n
Output<\/td>\nGalapagos_Frequencies_Crosstabs_output.spv<\/td>\n<\/tr>\n
Output<\/td>\nGalapagos_PCI_output.spv<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The Galapagos.zip file <\/a>contains the above four files.
\nDown load the ZIP file and unzip the files to a directory\/folder where you can run the SPSS application.<\/p>\n

In the Galapagos example:<\/p>\n

The SubSample1 variable is “Island” (the respondent’s island of residence).<\/span>
\nThe Island variable has 3 responses:<\/span>
\n1 = San Cristobal<\/span>
\n2 = Santa Cruz<\/span>
\n3 = Isabela<\/span><\/p>\n

The macro calculates the PCI for the “normfish” variable (Norms for illegal fishing). <\/span>
\nBecause a SubSample variable was specified, 3 actual and 3 simulated PCI values are generated; <\/span>
\none for each of the islands.<\/span><\/p>\n

The scale for “normfish” is 4-point unipolar (i.e., scale_width = 4):<\/span>
\n0 = Do nothing if the fisherman violates the rules for illegal fishing<\/span>
\n1 = Fine the fisherman<\/span>
\n2 = Take away the fisherman’s permit for 15 days<\/span>
\n3 = Take away the fisherman’s permit for the rest of the year<\/span>
\nNote: The minimum value for a unipolar scale should always be 0.<\/b><\/span><\/p>\n

Because the scale is unipolar, the appropriate distance function is D3<\/sub>.<\/span><\/p>\n

The power of distance function is currently set to 1 (i.e., Power_of_distance = 1).<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

General Overview All files should be stored in the directory C:\\PCI If this directory does not exist, you will need to create it. File names should not contain any spaces. To Calculate PCI2 in SPSS: Download and unzip the SPSS… <\/p>\n","protected":false},"author":117,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-143","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/pages\/143","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/users\/117"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/comments?post=143"}],"version-history":[{"count":3,"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/pages\/143\/revisions"}],"predecessor-version":[{"id":200,"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/pages\/143\/revisions\/200"}],"wp:attachment":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/jerryv\/wp-json\/wp\/v2\/media?parent=143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}