Assignment #3 – Using SPSS to Analyze
Health Data
Due: Monday, May 4, 2020, 4:00 PM
To complete this assignment,
you will need the following files:
a) OSHPD Data
File
b) OSHPD
Documentation
c) CA County
Codes
All the necessary files can be found on Blackboard in
the SPSS Assignment folder on the “Assignments” tab. You will be working independently for this assignment.
Copy results from your SPSS output file into a Word
document. (Add your answers and output to this document.) All answers should be
in complete sentences; it is NOT
sufficient to paste the results into Word without specifically answering the
question unless otherwise noted. Statistical tests must include complete interpretations along with the
SPSS output.
You must include the log that describes the
recoding of all variables needing to be recoded and all information on the work
you have completed to answer the questions. Your SPSS data file (.sav) should match your answers. (In other words,
I should be able to run the analyses from your SPSS file and get the same
results you report.) You are required to type the
values into the variable view of the SPSS file for all variables that you use,
including those you recode; your interpretations must use the category names
and not simply the codes used in SPSS. (For counties, you only need to type in
county names for the values you will use.)
Name the file as follows: MyLastName_Assign3.docx, where you replace MyLastName with your name. Upload this Word document (please type
your name at the top of the Word document) and your SPSS data file (.sav file)
with your last name as part of the file name to Blackboard in the SPSS
Assignment folder under the “Assignments” tab.
Read
the directions for each question carefully.
1. Using
the “disp” variable, answer the following questions:
a. What percent of all patients was discharged to another department within the
hospital?
b. What percent of all patients was discharged to another hospital?
HINT: You will need to recode the “disp”
variable.
2. What percent of patients had a payer category of traditional
coverage? (Recode “pay_type” to make the value “0” missing.)
3. Recode the variable “charges” so that charges of “0” and “1”
are made system missing; all other charges should remain the same. Name this
variable “NewChg.” Run frequencies on both the original and new charges
variables. Paste the “Statistics” table (do
NOT paste the frequency tables) showing the
number of valid and missing cases for the old and new variables into your
homework. (No sentence required.)
4. Is there a difference in charges (use the “NewChg” variable)
between Orange, San Bernadino, and San Diego Counties?
5. Using the new variable for length of stay (NewLOS), is there a
difference in total length of stay between patients in Los Angeles and Orange
Counties? (Before running this analysis, recode the variable “los” so that
length of stay [los] of “0” equals 1; name this variable “NewLOS.” All other
“los” should remain the same.)
6. Using all cases, is there a relationship between age (in
years), charges, and length of stay? Use
the variables age_years, NewLOS, and NewChg.
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