Project data analysis

cf_data_analysis.docx

1

5

Data Analysis

Your Full Name (no credentials)

University

Course Number and Name

Instructor Name

Month, Day, Year

Introductory content before any Level 1 headings. It might be useful to provide some brief background information on your project and its context. This section is a summary of your project as it will be added to your final paper. This information should only be two or three paragraphs at most.

Design and Instrumentation

Explain the project design and the methods you used for collecting data. The methods you describe must be reliable and have been previously approved by the IRB. If you used any tools or instruments, explain their validity and reliability, citing support from the literature as relevant. If an external tool was used, note the permission to use the tool and cite the tool appropriately. Any internal tools proven valid and reliable should be submitted in an appendix.

Formative Evaluation (if applicable)

Confounding Variables (if applicable)

Analysis

Explain which statistical tests were used for the statistical analysis to determine if the selected intervention produced the outcome desired. Provide outcomes, findings, and recommendations related to the problem statement. If you are still collecting data, you may have enough data to report preliminary findings; if this is the case, please note which findings are preliminary. For outcomes for which you have insufficient data to draw findings, please note this under each relevant outcome and briefly explain findings that would indicate some degree of outcome achievement. You may wish to use Level 2 headings to separate your analysis for each outcome, the problem statement, and so on. Use charts, data tables, and figures as relevant to improve the communication and comprehension of your data. Even if you do not have all final data collected, you should still be able to draft appropriate charts, data tables, and/or figures that would appropriately report the data you have collected or are planning to collect for a given outcome.

Summary and Conclusion

Briefly synthesize the key conclusions from the data analysis. Note any additional data collection and analysis to take place this quarter or additional analyses you plan to undertake.

References

[List references here.]

Appendices

ProjectDataAnalysis.docx

Project Data Analysis: Use a provided template to report your data collection methods and instruments, as well as assess the degree to which the data demonstrates achievement of project outcomes.

Introduction

The purpose of this assessment is to explain the data collection methods and instruments for your project as well as analyze the data to determine the extent to which you have achieved desired project outcomes.

Instructions

For this assessment you will complete the Data Analysis Template [DOCX] Download Data Analysis Template [DOCX] .

This template will help you structure your report on your data collection methodology and data analysis, including instruments used and outcomes achieved. You are not expected to submit your raw data for this assessment; however, you should store your raw data securely so you can provide it if necessary.

Your assessment will be graded on the following criteria:

· Explain the design of the doctoral project.

· Explain IRB-approved data collection methods for the doctoral project.

· Analyze project data and present the outcomes of the interventions, findings, and recommendations related to the problem statement using appropriate writing and graphics.

· Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.

· Communicate in a clear, concise, and well-organized manner, using tone and vocabulary appropriate for a professional and scholarly report.

Additional Requirements

· Data Collection Instruments: Be sure to reference any instruments used in this assessment via citation (external items) or inclusion in an appendix (internal items).

· Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.

cf_data_analysis.docx

1

5

Data Analysis

Your Full Name (no credentials)

University

Course Number and Name

Instructor Name

Month, Day, Year

Introductory content before any Level 1 headings. It might be useful to provide some brief background information on your project and its context. This section is a summary of your project as it will be added to your final paper. This information should only be two or three paragraphs at most.

Design and Instrumentation

Explain the project design and the methods you used for collecting data. The methods you describe must be reliable and have been previously approved by the IRB. If you used any tools or instruments, explain their validity and reliability, citing support from the literature as relevant. If an external tool was used, note the permission to use the tool and cite the tool appropriately. Any internal tools proven valid and reliable should be submitted in an appendix.

Formative Evaluation (if applicable)

Confounding Variables (if applicable)

Analysis

Explain which statistical tests were used for the statistical analysis to determine if the selected intervention produced the outcome desired. Provide outcomes, findings, and recommendations related to the problem statement. If you are still collecting data, you may have enough data to report preliminary findings; if this is the case, please note which findings are preliminary. For outcomes for which you have insufficient data to draw findings, please note this under each relevant outcome and briefly explain findings that would indicate some degree of outcome achievement. You may wish to use Level 2 headings to separate your analysis for each outcome, the problem statement, and so on. Use charts, data tables, and figures as relevant to improve the communication and comprehension of your data. Even if you do not have all final data collected, you should still be able to draft appropriate charts, data tables, and/or figures that would appropriately report the data you have collected or are planning to collect for a given outcome.

Summary and Conclusion

Briefly synthesize the key conclusions from the data analysis. Note any additional data collection and analysis to take place this quarter or additional analyses you plan to undertake.

References

[List references here.]

Appendices

ProjectDataAnalysis.docx

Project Data Analysis: Use a provided template to report your data collection methods and instruments, as well as assess the degree to which the data demonstrates achievement of project outcomes.

Introduction

The purpose of this assessment is to explain the data collection methods and instruments for your project as well as analyze the data to determine the extent to which you have achieved desired project outcomes.

Instructions

For this assessment you will complete the Data Analysis Template [DOCX] Download Data Analysis Template [DOCX] .

This template will help you structure your report on your data collection methodology and data analysis, including instruments used and outcomes achieved. You are not expected to submit your raw data for this assessment; however, you should store your raw data securely so you can provide it if necessary.

Your assessment will be graded on the following criteria:

· Explain the design of the doctoral project.

· Explain IRB-approved data collection methods for the doctoral project.

· Analyze project data and present the outcomes of the interventions, findings, and recommendations related to the problem statement using appropriate writing and graphics.

· Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.

· Communicate in a clear, concise, and well-organized manner, using tone and vocabulary appropriate for a professional and scholarly report.

Additional Requirements

· Data Collection Instruments: Be sure to reference any instruments used in this assessment via citation (external items) or inclusion in an appendix (internal items).

· Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.

cf_data_analysis.docx

1

5

Data Analysis

Your Full Name (no credentials)

University

Course Number and Name

Instructor Name

Month, Day, Year

Introductory content before any Level 1 headings. It might be useful to provide some brief background information on your project and its context. This section is a summary of your project as it will be added to your final paper. This information should only be two or three paragraphs at most.

Design and Instrumentation

Explain the project design and the methods you used for collecting data. The methods you describe must be reliable and have been previously approved by the IRB. If you used any tools or instruments, explain their validity and reliability, citing support from the literature as relevant. If an external tool was used, note the permission to use the tool and cite the tool appropriately. Any internal tools proven valid and reliable should be submitted in an appendix.

Formative Evaluation (if applicable)

Confounding Variables (if applicable)

Analysis

Explain which statistical tests were used for the statistical analysis to determine if the selected intervention produced the outcome desired. Provide outcomes, findings, and recommendations related to the problem statement. If you are still collecting data, you may have enough data to report preliminary findings; if this is the case, please note which findings are preliminary. For outcomes for which you have insufficient data to draw findings, please note this under each relevant outcome and briefly explain findings that would indicate some degree of outcome achievement. You may wish to use Level 2 headings to separate your analysis for each outcome, the problem statement, and so on. Use charts, data tables, and figures as relevant to improve the communication and comprehension of your data. Even if you do not have all final data collected, you should still be able to draft appropriate charts, data tables, and/or figures that would appropriately report the data you have collected or are planning to collect for a given outcome.

Summary and Conclusion

Briefly synthesize the key conclusions from the data analysis. Note any additional data collection and analysis to take place this quarter or additional analyses you plan to undertake.

References

[List references here.]