MUST BE SPSS 21.
DUE IN A FEW HOURS!!!6/27/2017 7AM. EST BE ON TIME!!! DON’T ASK IF YOU CAN’T HANDLE IT
READ DIRECTIONS
Collecting valid data is an art unto itself. Ensuring that your results are valid and unbiased is a skill beyond the scope of this module. However, even quality data can be corrupted by human error and inattention to detail. Some of the most common data errors include:
· Data that are not read properly
· Dates are interpreted improperly
· Hidden characters that result in improper fields (such as a tab character in a field that looks blank but causes SPSS to classify the field as a “string”)
· SPSS auto-assigning incorrect levels of measurement
· Data that are out of range
· Impossible categories
· Calculating a nonsensical mean (if 1 = blonde, 2 = brunette, 3 = red hair, 4 = black hair, etc., then a mean hair color of 3.1 provides no useful information)
· Lower- and upper-case letters used interchangeably (such as “f” and “F” for sex)
· Inconsistency of measurement and coding
n order to submit a table of corrected data that shows you did your corrections in SPSS and not in some other program like excel is to submit one of two work products:
1) An SPSS data table using File->Print function, and then exporting the result into word using the methods I posted in the announcements today.
2) Taking a screenshot in dataview.
All other tables could easily be generated in a program other than SPSS so they do not demonstrate the competencies required for full credit of the assignment.
Since we did not cover the methods on how to use the file->print function in the course, the only method that can I can fairly ask the class for, because it is the one we have already covered in the course, is the screenshot method.
If you chose to use option 1 and chose to create an SPSS data table using the file->print function, you must be sure the tables are in APA format and that the table does not run off the page or over the required 1″ margins expected in APA format. The handout and video I posted should help you with that formatting.
FOR EXAMPLE: MUST BE A TABLE WITH ONLY ROWS 12-17 WHICH IS ATTACHED
AND GIVE EXPLANATION FOR ERRORS
EXAMPLE BELOW…..THIS IS WHAT IT LOOKS LIKE BELOW
1). Original datasets with Errors – (Rows 7 – 11) I NEED ROW 12-17
Patient_ID
Age_BP
sex
BP
body_Mass
age_at_ death
diabetic
Place
7
68
0
ok
overwrigth
86
0
1
8
69
0
good
25
89
0
nowhere
9
70
Male
149/85
32
78
0
2
10
39
1
too high
48
47
1
town
11
42.1
1
152/88
35
60
1
3
2). The table below contains the list of errors found. Explanation of the errors for each cell is documented in each cell
Patient_ID Age-BPsexBPbody_Massage_at_deathdiabeticPlace7No errors foundError: found 1 error.
Explanation: Sex is coded as “0”. Displayed value should be either female or male Error: found 1 error.
Explanation: BP is coded as “ok” which is a string. It should be coded as numeric value Error: found 1 error.
Explanation: body_mass is coded with value “overwrigth”. Value should be coded as a scale and a numerical value. No errors foundError: found 1 error.
Explanation: Diabetic is coded as “0”. Displayed value should be either diabetic or nondiabetic Error: found 1 error.
Explanation: Place is an ordinal measurement, displayed value should be either rural, surbaban or urban with numerical values (1, 2 or 3) denoting displayed values. 8No errors foundError: found 1 error.
Explanation: Sex is coded as “0”. Displayed value should be either female or male Error: found 1 error.
Explanation: BP is coded as “good” which is a string. It should be cooded as numeric value No errors foundNo errors foundError: found 1 error.
Explanation: Diabetic is coded as “0”. Displayed value should be either diabetic or nondiabetic Error: found 1 error.
Explanation: Place is an ordinal measurement, displayed value should be either rural, surbaban or urban with numerical values (1, 2 or 3) denoting displayed values. 9No errors foundNo error foundError: found 1 error.
Explanation: BP is coded as “149/85” which is a string. There should not be “/”, the values should have been split into two variables and coded on different columns. No errors foundNo errors
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