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July 25, 2024

Description of the steps you took to conduct your statistical analyses. Summary of your statistical *** Narrative description Tables and gra

Biology / Anatomy

 

  • Description of the steps you took to conduct your statistical analyses.
  • Summary of your statistical ***
    • 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.

    **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: 

     use the dataset and template document attached. Please follow the research question you proposed and follow the sections found in the template including the graphs. Please state the steps you followed with SPSS to produce all descriptive statistics, graphs and crosstabs. Please provide the crosstab tables of your independent variables and your outcome, one at a time. You can also run modeling. Please note that if you have installed the newest SPSS version, the analyze tab is the first tab, the one adjacent to the print tab. 

  • attachment

    USW1_PUBH_6033_Final_Project_Datasets3.sav

  • attachment

    USW1_PUBH_6033_FinalProject_ResultsTemplate.docx

  • attachment

    ProjectMethods1.docx

  • attachment

    Week4project.docx

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 association between [independent variable] and [dependent variable]. Alternate Hypothesis: There is an association between [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 study using 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. 2 = 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:UsersaferraroDocumentsWaldenClasses6125Datasetsasbestos.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:UsersaferraroDocumentsWaldenClasses6125Datasetsasbestos.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:UsersaferraroDocumentsWaldenClasses6125Datasetsasbestos.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:UsersaferraroDocumentsWaldenClasses6125Datasetsasbestos.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

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