simple Task in SPSS

Run the following hypotheses in SPSS. State which analysis was used for each (e.g. One-Way ANOVA, Pearson Correlation, etc.) and attach the outputs necessary to accept or reject the Null hypothesis. State whether the hypotheses were statistically significant or not and include information relating to effect size (if applicable).

*Exclude participants with missing data

Hypothesis 1: People who are trying to attract men will score high on the SOQ, OBCSurveillance, and OBCShame scales.

Variable Name	Measure
Attracting men	Nominal	1: Not Attracting Men 2: Attracting Men
SOQ	Scale	-36 – 36 (low to high)
OBCSurveillance	Scale	1 to 7 (low to high)
OBCShame	Scale	1 to 7 (low to high)

Hypothesis 2: Lesbians that score high on the Feminist scale will score low on the SOQ and OBCSurveillance, and OBCShame scales. (Lesbians = orientation: homosexual, sex: female)

Variable Name	Measure
Orientation	Nominal	1: Heterosexual 4: Bisexual 7: Homosexual
Sex	Nominal	1: Male 2: Female
SOQ	Scale	-36 – 36 (low to high)
OBCSurveillance	Scale	1 to 7 (low to high)
OBCShame	Scale	1 to 7 (low to high)

Hypothesis 3: Women that score high on the Feminist scale will score low on the SOQ and OBCSurveillance, and OBCShame scales.

Variable Name	Measure
Sex	Nominal	1: Male 2: Female
SOQ	Scale	-36 – 36 (low to high)
OBCSurveillance	Scale	1 to 7 (low to high)
OBCShame	Scale	1 to 7 (low to high)

Hypothesis 4: People who score high on Autonomy will score low on SOQ and OBCSurveillance, and OBCShame scales.

Variable Name	Measure
Autonomy	Scale	1 to 7 (low to high)
SOQ	Scale	-36 – 36 (low to high)
OBCSurveillance	Scale	1 to 7 (low to high)
OBCShame	Scale	1 to 7 (low to high)