A user-friendly SAS program in consideration of determining statistical dep

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A user-friendly SAS program in consideration of determining statistical dep

Columbia College South Carolina, US has reference to this Academic Journal, A user-friendly SAS program in consideration of determining statistical dependence between variables in observational studies Xiaojie Li (socioeconomic status) Ses (Intelligence) Intel association: significant! Research finding: A regression model in consideration of prediction? dependence of ? Ses on Intel Intel on Ses

 Cariker, Sylvia Columbia College South Carolina www.phwiki.com

 

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X (Ses) Y (Intel) Y = ? + ?* X + ? (model I) Some social scientists say? predictor/independent response/dependent X (Ses) Y (Intel) X = ? + ?*Y + ? (model II) Others argue? predictor/independent response/dependent Statisticians say? (e.g., Hays 1994; Snedecor & Cochran 1989) Y = ? + ?* X + ? (I) X = ? + ?* Y + ? (II) arbitrary {

Which ?model? so that go? D-R solution Dodge & Rousson. 2001. Am. Stat. 55:51?54. model-specific inequalities check what?s observed model can be determined What great help so that researchers! My research objective the D-R method 1) requires complex computations; 2) not available in stat packages goal: so that implement in SAS easy in consideration of researchers so that apply D-R

Look for:

Inequalities: 4 statistics ( variables: X, Y ) skewness coefficients ?x ?y symmetric or skewed higher order corr coefficients ?12 ?21 relatedness of X in addition to Y Strict criteria Model I (Y dependent on X): ?y2 ? ?122 ? ?212 ? ?x2 Model II (X dependent on Y): ?y2 ? ?122 ? ?212 ? ?x2 Loose criteria Model I: ?y2 ? ?x2 ?122 ? ?212 or Model II: ?y2 ? ?x2 ?122 ? ?212 *potential conflict

Implementing in SAS 6-page long & macro-based 2 data files: 1) list of variables 2) actual data specify path in SAS run in addition to output: suggested model criteria used assumptions checked A demonstration Hays (1994) Statistics 5th ed. origins of gender stereotyping in young girls 4 variables: sports interest scores (MomInt, DadInt, GirlInt) PE teacher evaluation on girl?s athleticism (PeEval) GirlInt DadInt MomInt PeEval GirlInt DadInt MomInt PeEval 24 23 25 8 30 32 30 13 25 25 25 15 . . . . haysVarList.prn haysData.prn 2 data files (in Excel)

. infile ‘a:haysVarList.prn’ end=final; . infile ‘a:haysData.prn’ firstobs=2; . Input before running Determining statistical dependence between two variables (Via Dodge in addition to Rousson’s loose criteria) Note:”-” indicates conflict using the two loose criteria Obs pair dependent independent 1 GirlInt vs. DadInt DadInt GirlInt 2 GirlInt vs. PeEval PeEval GirlInt 3 GirlInt vs. MomInt – – 4 DadInt vs. MomInt – – 5 DadInt vs. PeEval – – 6 MomInt vs. PeEval – – Output from SAS A few words of ? help so that applied researchers statistical dependence tomorrow will be better causality X the D-R way

Acknowledgment Associated Students (graduate fellowship program) Dr. W. A. Rodriguez (mentor)

Ses Intel A regression model in consideration of prediction? dependence of ? on ??

Cariker, Sylvia Managing Editor

Cariker, Sylvia is from United States and they belong to Managing Editor and work for Eating Disorders Review in the AZ state United States got related to this Particular Article.

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