Cov txheej txheem:

Proc CORR hauv SAS yog dab tsi?
Proc CORR hauv SAS yog dab tsi?
Anonim

xam thiab luam tawm Cronbach's coefficient alpha. PROC COV suav cov coefficients sib cais siv cov khoom nyoos thiab cov qauv tsim nyog (scaling cov variables rau ib chav tsev variance ntawm 1). Rau txhua nqe lus VAR hloov pauv, PROC COV suav cov kev sib raug zoo nruab nrab ntawm qhov sib txawv thiab tag nrho ntawm qhov sib txawv ntawm qhov seem.

Ntawm no, koj pom kev sib raug zoo hauv SAS li cas?

SAS muab cov txheej txheem PROC CORR rau nrhiav tus kev sib raug zoo coefficients ntawm ib khub ntawm cov variables nyob rau hauv ib tug dataset.

Syntax

  1. Dataset yog lub npe ntawm dataset.
  2. Cov kev xaiv yog qhov kev xaiv ntxiv nrog cov txheej txheem xws li plotting ib matrix thiab lwm yam.
  3. Variable yog lub npe sib txawv ntawm cov ntaub ntawv siv los nrhiav kev sib raug zoo.

Kuj Paub, Pearson's r txhais li cas? Cov Pearson cov khoom-moment correlation coefficient yog ib qho kev ntsuas ntawm lub zog ntawm kev sib raug zoo ntawm ob qhov sib txawv. Nws yog hu ua Pearson tus correlation los yog yooj yim raws li correlation coefficient. Pearson tus r tuaj yeem nyob ntawm -1 txog 1.

Tsis tas li cov lus nug yog, lub hom phiaj ntawm Nosimple kev xaiv hauv Proc Corr rau Pearson correlation coefficients test yog dab tsi?

PROC COV cia li suav nrog cov txheeb cais piav qhia (xws li txhais tau tias, tus qauv sib txawv, yam tsawg kawg nkaus, thiab siab tshaj) rau cov tswv yim sib txawv, thiab tuaj yeem xaiv tsim scatterplot thiab / lossis scatterplot matrices. (Nco ntsoov tias cov phiaj xwm xav tau ODS cov duab kos.

Koj txhais li cas kev sib raug zoo?

Degree ntawm correlation:

  1. Zoo meej: Yog tias tus nqi nyob ze ± 1, ces nws tau hais tias yog ib qho kev sib raug zoo: raws li ib qho kev sib txawv nce, lwm qhov sib txawv kuj nce (yog tias zoo) lossis txo qis (yog tias tsis zoo).
  2. High degree: Yog tias tus nqi coefficient nyob nruab nrab ntawm ± 0.50 thiab ± 1, ces nws tau hais tias yog qhov sib raug zoo.

Pom zoo: