Final Project Assignment | Homework Help Websites
PUBH-6033/8033: Final Project Results Template
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:
- 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]
___________________________________________________________________________________
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 |