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PUBH-6033/8033: Final Project Results Template

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Results (1 page of narrative plus charts and SPSS syntax code)

 

In Week 9, you are asked to prepare the Results to your Final Project. It should include the following components:

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  • Description of the steps you took to conduct your statistical analyses.
  • Summary of your statistical findings**
    • Narrative description
    • Tables and graphs (Be careful–too many tables and graphs decreases clarity)
  • Be sure to include your SPSS codebook as well as the syntax code used in SPSS to conduct your statistical analyses. The page length of your code may vary according to the types of analyses conducted.

**Note: Do not attempt to explain your results in this section; only report your findings

 

Following is a template for how the Results might look for a research question that includes two categorical variables and involves Chi-square analysis.Note that when you report statistical findings in APA style, you do not cut-and-paste tables from SPSS. They must be reformatted and summarized into Word tables. Your Results should include the same components in this order but the specifics should be relevant to your dataset, research question, and variables. Be sure to refer to feedback from your Week 7 assignment to make sure you have selected the right statistical test for your study. ____________________________________________________________________________________

 

**Please include the following header on this Assignment.**

One simple statement for each. This helps you and the instructor keep track of what you are attempting.

RQ:
Dependent Variable:
Independent Variable(s):

Null Hypothesis:
Alternate Hypothesis:
Statistical Test:

 

 

RQ: Is there an association between [independent variable] and [dependent variable]?
Dependent Variable: [Choose one: Malaria, AIDS(CD4), CHD, Diabetes (Plasma Glucose Concentration), Pancreatic Cancer]
Independent Variable(s): [Choose one or two: Gender, Age, Race, Ethnicity, Education, Insurance, Region, BMI, Cholesterol, Alcohol, Tobacco, IDU, Condom, Exercise, Fruit/Vegetable]

Null Hypothesis:There is no associationbetween [independent variable] and [dependent variable].
Alternate Hypothesis:There is an associationbetween [independent variable] and [dependent variable].

Statistical Test: [Depends on variables in RQ]

___________________________________________________________________________________

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Results

Statistical analysis steps

Statistical analysis was conducted in SPSS version 21. First the asbestos.sav dataset was uploaded to SPSS and checked for errors. Second, descriptive statistics were run on variables relevant to this studyusing the following steps: >Analyze > Descriptive Statistics > Frequencies. Pie charts were indicated under the Charts box to visualize the data. Finally, Chi-square analysis was performed using the following steps: >Analyze > Descriptive Statistics >Crosstabs. The independent variable “asbestos” was moved to the Row box and the dependent variable “lungca” was moved to the Column box. Chi-square was clicked under the Statistics button and then OK.

Findings

The asbestos.sav dataset included 285 valid cases. One-third of cases (33.3%) had lung cancer (Figure 1) and 41.4% had been exposed to asbestos (Figure 2). Of the 118 cases that had been exposed to asbestos, 80 had lung cancer and 38 did not have lung cancer. Chi-square analysis showed that there was a statistically significant association between asbestos exposure and lung cancer, Χ2 (1, N=285) = 107.631, p<.01 (Table 1).

 

Figure 1

 

Frequency of Lung Cancer Cases in Sample

 

 

Figure 2

 

Frequency of Asbestos Exposure in Sample

 

 

Table 1

 

Results of Chi-square Test and Descriptive Statistics for Lung Cancer by Asbestos

 

Lung Cancer
Asbestos Yes No
Yes 80 (84%) 38 (88%)
No 15 (16%) 152 (12%)

Note. c2 = 107.631, df = 1. Numbers in parentheses indicate column percentages.

*p< .01

 

 

Codebook and Syntax

 

CODEBOOK  asbestos [n] lungca [n]

/VARINFO POSITION LABEL TYPE FORMAT MEASURE ROLE VALUELABELS MISSING ATTRIBUTES

/OPTIONS VARORDER=VARLIST SORT=ASCENDING MAXCATS=200

/STATISTICS COUNT PERCENT MEAN STDDEV QUARTILES.

 

Codebook

Notes
Output Created 27-APR-2015 13:36:13
Comments
Input Data C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 285
Syntax CODEBOOK  asbestos [n] lungca [n]

/VARINFO POSITION LABEL TYPE FORMAT MEASURE ROLE VALUELABELS MISSING ATTRIBUTES

/OPTIONS VARORDER=VARLIST SORT=ASCENDING MAXCATS=200

/STATISTICS COUNT PERCENT MEAN STDDEV QUARTILES.

Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.03

 

[DataSet2] C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav

asbestos
Value Count Percent
Standard Attributes Position 2
Label <none>
Type String
Format A3
Measurement Nominal
Role Input
Valid Values 1 Yes 118 41.4%
2 No 167 58.6%

 

 

lungca
Value Count Percent
Standard Attributes Position 3
Label <none>
Type String
Format A3
Measurement Nominal
Role Input
Valid Values 1 Yes 95 33.3%
2 No 190 66.7%

 

 

FREQUENCIES VARIABLES=asbestos lungca

/STATISTICS=MINIMUM MAXIMUM

/PIECHART FREQ

/ORDER=ANALYSIS.

 

Frequencies

Notes
Output Created 27-APR-2015 12:57:53
Comments
Input Data C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 285
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=asbestos lungca

/STATISTICS=MINIMUM MAXIMUM

/PIECHART FREQ

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.20
Elapsed Time 00:00:00.19

 

 

[DataSet2] C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav

Statistics
asbestos lungca
N Valid 285 285
Missing 0 0

 

Frequency Table

 

asbestos
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 118 41.4 41.4 41.4
No 167 58.6 58.6 100.0
Total 285 100.0 100.0

 

 

lungca
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 95 33.3 33.3 33.3
No 190 66.7 66.7 100.0
Total 285 100.0 100.0

 

 

Pie Chart

 

CROSSTABS

/TABLES=asbestos BY lungca

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

 

Crosstabs

Notes
Output Created 27-APR-2015 12:58:42
Comments
Input Data C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 285
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.
Syntax CROSSTABS

/TABLES=asbestos BY lungca

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL

/BARCHART.

Resources Processor Time 00:00:00.12
Elapsed Time 00:00:00.13
Dimensions Requested 2
Cells Available 131029

 

 

[DataSet2] C:\Users\aferraro\Documents\Walden\Classes\6125\Datasets\asbestos.sav

Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
asbestos * lungca 285 100.0% 0 0.0% 285 100.0%

 

 

asbestos * lungca Crosstabulation
Count
lungca Total
Yes No
asbestos Yes 80 38 118
No 15 152 167
Total 95 190 285

 

 

Chi-Square Tests
Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)
Pearson Chi-Square 107.631a 1 .000
Continuity Correctionb 105.000 1 .000
Likelihood Ratio 113.604 1 .000
Fisher’s Exact Test .000 .000
N of Valid Cases 285

 

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 39.33.
b. Computed only for a 2×2 table

 

 

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