Question: \"The dataset demoeduc.sav contains data on two variables: paticipatio

Question

Question:

"The dataset demoeduc.sav contains data on two variables: paticipation in demon-
strations and education. Education has six levels, and represents the highest level
of education an individual has received (1 = No schooling, 2 = Primary, 3 = Sec-
ondary, 4 = Prof. training, 5 = Low tertiary, 6 = Upper tertiary). Demonstration
is dichotomious: participates in demonstrations (demo=2) or not (demo=1). The
goal is to predict demonstration from education: is there a difference in participa-
tion in demonstration among people with different educational levels?"

Variables in the Equation 9596 CLfor EXP(B) pper S.E Wald df Sig Exp(B) ower Step 1 Education Education(1) -2.709 Education(2) -1.454 Education(3) Education(4) Education(5) Constant 944 -.869 272 927 259.343 217 155.692 133 118.582 143 43.348 151 33.010 2.545 58.456 067 234 389 419 762 2.526 044 180 294 312 545 102 304 515 564 1.064 121 a. Variable(s) entered on step 1: Education

Explanation / Answer

yes, the same logistics model is applied on the data by using two different methods i.e. omnibust test and test statististic. however, the formula used in both the test is quite different. omnibust test uses the chi squared test , and wald test uses quite modified chi square test equation.

omnibust test

chi square value =(observed-expected)2/expected

wald test

chi square value = (observed-expected)2/1/lognobserved

the difference in the formula to calculate will result in different values.

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