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CATEGORICAL AUTOCORRELATION: RCT analysis with 4 groups

Mathew Toll All Messages By This Member #6392 Dear UCINET group,? ? I am working on a relational contingency table analysis looking at the?associations between four groups.? ? One type of node (Y), split into two groups based on their position in the network (core and periphery) and another two groups based on attribute X and non-X.? These groups are mutually exclusive.? I want to test if the association from Y to X is consistent from the core to the margin of the network or if there are different patterns of?association based on Y's position in the network.? ? I created a NodeAtt file with two columns, the ID and the attribute column, recoding each node as either 1, 2,3,4 (i.e. core, periphery, X, non-X).? ? ? Problem: UCINET automatically turns each category of the variable into 4 separate dummy variables and only considers the first dummy variable in the contingency table.? How do I get UCINET to consider all the categories for the RCT analysis? And secondly, am I going about this in the right way, in choosing RCT analysis for this type of question?? Thanks for all your help UCINET group! ? Cheers, Mathew
Steve Borgatti All Messages By This Member #6395 开云体育 So, I have a network called campnet and an attribute dataset called campattr where the third column has 3 categories: ? ? ? ?????????????? 1 2 3 ???????????????G R C ???????????????e o o ???????????????n l m ???????????????d e b ???????????????e?? o ???????????????r???? ???????????????- - - ????1?? HOLLY? 1 1 1 ????2? BRAZEY? 1 1 1 ????3?? CAROL? 1 1 1 ????4???? PAM? 1 1 1 ????5???? PAT? 1 1 1 ????6? JENNIE? 1 1 1 ????7 PAULINE? 1 1 1 ????8???? ANN? 1 1 1 ????9 MICHAEL? 2 1 2 ???10??? BILL? 2 1 2 ???11???? LEE? 2 1 2 ???12???? DON? 2 1 2 ???13??? JOHN? 2 1 2 ???14?? HARRY? 2 1 2 ???15??? GERY? 2 2 3 ???16?? STEVE? 2 2 3 ???17??? BERT? 2 2 3 ???18??? RUSS? 2 2 3 ? When I run the RCT procedure I tell it that the attribute is “campattr col 3” and it gives the results below. I gather it’s not working that way for you. I’m guessing that your nodeattr dataset contains two columns of actual data (not one column plus row labels). If so, you should be telling it “nodeattr col 2” ? steve ? RELATIONAL CONTINGENCY TABLE ANALYSIS -- DIRECTED NETWORKS/UNDIRECTED MODEL -------------------------------------------------------------------------------- ? Network dataset:??????????????????????? campnet (C:\Users\Steve Borgatti\Dropbox\data\ucinet data\campnet) Attribute:????????????????????????????? campattr col 3 # of Permutations:????????????????????? 10000 Random seed:??????????????????????????? 10291 ? Input data is directed. Warning: Attribute vector has been recoded. ? Here is a translation table: ? ? Old Code??? New Code?? Frequency ? ========??? ========?? ========= ????? 1??? =>???? 1?????????? 8 ????? 2??? =>???? 2?????????? 6 ????? 3??? =>???? 3?????????? 4 ? Number of ties: 54.000 ? Cross-classified Frequencies ? ?????????? 1? 2? 3 ?????????? 1? 2? 3 ????????? -- -- -- ??? 1? 1? 20? 2? 2 ??? 2? 2?? 5? 9? 4 ??? 3? 3?? 0? 3? 9 ? ? Expected Values Under Model of Independence ? ???????????? 1??? 2??? 3 ???????????? 1??? 2??? 3 ????????? ---- ---- ---- ??? 1? 1? 9.88 8.47 5.65 ??? 2? 2? 8.47 5.29 4.24 ??? 3? 3? 5.65 4.24 2.12 ? ? Observed/Expected ? ???????????? 1??? 2??? 3 ???????????? 1??? 2??? 3 ????????? ---- ---- ---- ??? 1? 1? 2.02 0.24 0.35 ??? 2? 2? 0.59 1.70 0.94 ??? 3? 3? 0.00 0.71 4.25 ? ? ? Average permutation frequency table ? ?????????? 1??? 2??? 3 ??????? ---- ---- ---- ??? 1?? 9.88 8.48 5.63 ??? 2?? 8.46 5.33 4.21 ??? 3?? 5.64 4.23 2.14 ? ? Observed chisquare value = 50.061 Significance = 0.000200 Number of iterations = 10000 ? Cross-classified observed frequencies saved as lltab Expected values saved as llexp Ratio of Observed to Expected values saved as llrat ? ---------------------------------------- Running time:? 00:00:01 Output generated:? 31 Jul 19 16:09:05 UCINET 6.682 Copyright (c) 2002-19 Analytic Technologies ? ? ? ? toggle quoted message Show quoted text From: ucinet@... Sent: Tuesday, July 30, 2019 23:56 To: ucinet@... Subject: [UCINET] CATEGORICAL AUTOCORRELATION: RCT analysis with 4 groups ? ? Dear UCINET group,? ? I am working on a relational contingency table analysis looking at the?associations between four groups.? ? One type of node (Y), split into two groups based on their position in the network (core and periphery) and another two groups based on attribute X and non-X.? These groups are mutually exclusive.? I want to test if the association from Y to X is consistent from the core to the margin of the network or if there are different patterns of?association based on Y's position in the network.? ? I created a NodeAtt file with two columns, the ID and the attribute column, recoding each node as either 1, 2,3,4 (i.e. core, periphery, X, non-X).? ? ? Problem: UCINET automatically turns each category of the variable into 4 separate dummy variables and only considers the first dummy variable in the contingency table.? ? How do I get UCINET to consider all the categories for the RCT analysis? And secondly, am I going about this in the right way, in choosing RCT analysis for this type of question?? ? Thanks for all your help UCINET group! ? Cheers, Mathew
Mathew Toll All Messages By This Member #6398 Thanks for the reply Steve.? I've managed to do a RTC analysis once - with a NodeAtt file and selecting the relavent column.? My problem seems to be that UCINET wants to convert my multi-category variable into four dummies, even when I import it as two columns and tell it to treat the data as NodeAtt (actor attribute [value]):? Thanks for your help with this. Best wishes, Mathew
Steve Borgatti All Messages By This Member #6399 开云体育 Can you send me the data? Steve.borgatti@... ? toggle quoted message Show quoted text From: ucinet@... <ucinet@...> Sent: Friday, August 2, 2019 03:37 To: ucinet@... Subject: [UCINET] Re: CATEGORICAL AUTOCORRELATION: RCT analysis with 4 groups ? ? Thanks for the reply Steve.? I've managed to do a RTC analysis once - with a NodeAtt file and selecting the relavent column.? My problem seems to be that UCINET wants to convert my multi-category variable into four dummies, even when I import it as two columns and tell it to treat the data as NodeAtt (actor attribute [value]):? ? ? Thanks for your help with this. ? Best wishes, Mathew

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