ARE YOU FAMILIAR WITH SPSS software and know how to analyze and explain the data results?

I must complete a psychological assessment project consisting of two parts. First, i have to design an original testing instrument. Then, instead of gathering data on your own test, you are provided with a set of test data to analyze. You compile the description of your test and the results of your analysis of the provided dataset into 3 single space pages and view according to the APA Results report.
It must include
Your construct, test specifications, and test items
Statistical analysis on the dataset provided (MoneyData.sav), including analysis of factor analysis, classical statistics, and reliability and validity.
Test construct consist of no or yes answer
create a test report describing the construction of your own test, combined with the results from your analysis of the provided dataset.

I should describe:
The construction of my own test
The results from your analysis of the provided dataset. Include validity, reliability, and factor analysis interpretation.
.Also I cannot download the Moneydata. sav from SPSS but i am sure it an be downloaded with help from an experience person with SPSS.
The MoneyData.sav dataset provided contains three scales that measure financial attitudes:
LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle
DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores)
RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers
To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6).
To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6).
On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R).
Calculate a Validity Measure for One of the Scales
There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = – .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale.
Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit:
Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported
The results of your statistical test of your validity hypothesis
Your conclusion about validity, given the results of your statistical test