INDEPENDENT VARIABLE | ||||
Category I | Category II | Category III | ||
DEPENDENT VARIABLE |
Category I | A | B | C |
Category II | D | E | F | |
Category III | G | H | I |
LEVEL OF ASSOCIATION | Verbal Description | COMMENTS |
0.00 | No Relationship | Knowing the independent variable does not help in predicting the dependent variable. |
.00 to .15 | Very Weak | Not generally acceptable |
.15 to .20 | Weak | Minimally acceptable |
.20 to .25 | Moderate | Acceptable |
.25 to .30 | Moderately Strong | Desirable |
.30 to .35 | Strong | Very Desirable |
.35 to .40 | Very Strong | Extremely Desirable |
.40 to .50 | Worrisomely Strong | Either an extremely good relationship or the two variables are measuring the same concept |
.50 to .99 | Redundant | The two variables are probably measuring the same concept. |
1.00 | Perfect Relationship. | If we the know the independent variable, we can perfectly predict the dependent variable. |
get file="/homes/josephf/webstats/CES2004.sav".
fre var= CPS_Q1B CPS_I1_3.
missing values CPS_I1_3 (9).
missing values CPS_Q1B (98,99).
recode CPS_Q1B (0 thru 4=copy)(6 thru 10=5)into pid.
value labels pid 0'none' 1'Lib' 2'Cons' 3'NDP' 4'BQ' 5'oth'.
recode CPS_I1_3 (1=1) (3=2) (8=3)into ssm.
value labels ssm 1'oppose' 2'support' 3'dk'.
crosstab tables=ssm by pid
/cells=column count /statistics=PHI.
INDEPENDENT VARIABLE | ||||
Category I | Category II | Category III | ||
DEPENDENT VARIABLE |
Category I | A | B | C |
Category II | D | E | F | |
Category III | G | H | I |