Type of Methodology and Rationale

Type of Methodology and Rationale for Selecting ItMethodRationale for SelectionQuantitativeThe data from a quantitative method is in a numeric form and statistical tests can be applied in making statements about the data. Quantifiable, objective, and easy to interpret results.Identifying the scale of measurement (e.g. nominal, ordinal, interval, or ratio) helps determine how best to organize the data for analysis.QualitativeThe data from a qualitative method is a description of the qualities or characteristics of something. Thematic, subjective and subject to interpretation are the results. These descriptions cannot be easily reduced to numbers—as the findings from quantitative methods can. Qualitative methods discover new perspectives and are not feasible for testing a DPI. Comment by Author: Not an approved design for the DPIMixed:The data from a mixed method is a combination of the quantitative and qualitative method. Mixed method can use qualitative designs to identify the factors under investigation, then use that information to devise quantitative designs to further measure it. Or findings from quantitative methodology can be further explored using a qualitative method. Mixed methods can be time consuming and not feasible for testing a DPI. Comment by Author: Not an approved design for the DPINote: Quantitative methods are recommended for DPI projects due to feasibility and clinical relevance associated with the measurement of a practice improvement. Reference: Creswell, J.W. & Creswell, J.D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.) Thousand Oaks: CA. Sage Publications.This section should elaborate on the Methodology section (from Chapter 1) providing the rationale for the selected project method (e.g. quantitative). Arguments are supported by citations from articles and books on methodology or design. It is also proper in this section to outline the predicted or expected results in relation to the clinical questions based on the existing literature. Describe how the method selected supports the attainment of information that will answer the clinical questions.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackProject MethodologyThis section elaborates on the Methodology section (from Chapter 1), providing the rationale for the selected project method (e.g. quantitative) and includes a discussion of why the selected method was chosen instead of another method. Arguments are supported by citations from articles and books on project methodology or design. Describe how the methodology selected supports the attainment of information that will answer the clinical questions.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Project Design

This section elaborates on the nature of the Project Design section from Chapter 1. In most DPI projects, a quasi-experimental design is the recommended due to measurement of a direct practice improvement. If other methods are considered, it should be discussed with your chair/committee including the capacity to measure a practice improvement and time frame needed to complete it.This section includes a detailed description of, and a rationale for, the specific design for the project. Quantitative designs include descriptive, correlation, quasi-experimental, and experimental designs (Creswell & Creswell, 2018). Each associated with an approach to the data being collected. See Appendix B for an algorithm to assist with design determination. Designs involving a practice change or intervention are either a quasi-experimental or experimental type. However, an experimental design is usually not feasible for a DPI due to the requirement for randomization and manipulation of the intervention within and between the project groups to address the statistical assumptions.This section further describes how it aligns to the selected methodology indicated in the previous section. Additionally, it describes why the selected design is the best option to collect the data to answer the clinical need for the project.The section explains exactly how the selected design will be used to collect data for each variable. It identifies the specific instruments and data sources to be used to collect all of the different data required for the project. Arguments are supported by citations from articles and books on DPI project method or design. This section should specify the independent, dependent, or classificatory variables, as appropriate. These variables should be defined in Chapter 1. Be sure to relate the variables back to the clinical questions. A brief discussion of the type of data collection tool chosen (survey, interview, observation, etc.) can also be included in this section as related to the variables. Collecting data using an instrument may require a consent versus collecting data from the EHR may require a HIPAA waiver. These considerations should be addressed later in the proposal.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackProject DesignThis section elaborates on the Nature of the Project Design for the Project (from Chapter 1) providing the rationale for the selected project design and includes a discussion of why the selected design is the best one to collect the data needed. Arguments are supported by citations from articles and books on methodology or design.This section describes how the specific selected DPI project design will be used to collect the type of data needed to answer the clinical questions and the specific instruments or data sources that will be used to collect or source this data. This section discusses why the design was selected to be the best approach to answer the clinical question(s).This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Population and Sample Selection

This section discusses the setting, total population, project population, and project sample. The discussion of the sample includes the project terminology specific to the type of sampling for the project. This section should include the following components:· Describes the characteristics of the total population and the project population from which the project sample (project participants) is drawn.· Describes the characteristics of the project population and the project sample.· Clearly defines and differentiates the sample for the project versus the number of people completing instruments on the project sample.· Describes the project population size and project sample size and justifies the project sample size (e.g., power analysis) based on the selected design.Clearly defines and differentiates between the number for the project population and the project sample versus the number for the people who will complete any instruments. Details the sampling procedure including the specific steps taken to identify, contact, and recruit potential project sample participants from the project population.Describes the informed consent process, confidentiality measures, project participation requirements, and geographic specifics.· Discusses the intervention protocol to answer the clinical question(s).· If subjects withdrew or were excluded from the project, you must provide an explanation. This would be added for the final manuscript and would not be present in the proposal.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackPopulation and Sample SelectionThis section discusses the setting, total population, project population, and project sample. The discussion of the sample includes the project terminology specific to the type of sampling for the project.This section describes the characteristics of the total (general) population and the project (target) population from which the project sample (sample) (project participants) is drawn.This section describes the characteristics of the project population and the project sample and clearly defines and differentiates the sample for the project versus the number of people completing instruments on the project sample.This section describes the project population size and project sample size and justifies the project sample size (e.g., power analysis) based on the selected design. This section clearly defines and differentiates between the number for the project population and the project sample versus the number for the people who will complete any instruments.This section details the sampling procedure, including the specific steps taken to identify, contact, and recruit potential project sample participants from the project population.This section describes the informed consent process, confidentiality measures, project participation requirements, and geographic specifics.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Instrumentation or Sources of Data Comment by Author: Clarify if the project is collecting data using instrumentation, a source of data from the EHR or existing records, or both. This heading should be accurate on which was used to collect data.

This section fully identifies and describes the types of data that will be collected, as well as the specific instruments and sources used to collect those data (tests, questionnaires, interviews, databases, media, etc.). Discuss the specific instrument or source to collect data for each variable or group. Use subheadings for each data collection instrument or source of data and provide a copy of all instruments in a separate appendix.If you are using an existing instrument, make sure to discuss in detail the characteristics of the instrument. For example, on a preexisting survey tool describe the way the instrument was developed and constructed, the validity and reliability of the instrument, the number of items or questions included in the survey, and the calculation of the score as appropriate.If you are using a source of data, discuss the detail on how the source of data was accessed, the validity and reliability of the source of data and how the information was collected and stored. If the learner is acquiring data from medical records or databases, e.g. electronic health records including being provided a delimited database of data, this access and permission should be specified and how the identifiable patient information is being protected within the project. A HIPAA waiver may be specified.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackInstrumentation or Sources of DataThis section describes, in detail, all data collection instruments and sources (tests, questionnaires, interviews, databases, media, etc.); the specific instrument or source to collect data for each variable or group (quantitative project)This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Validity

This section describes and defends the procedures used to determine the validity of the data collected. Validity refers to the degree to which a project accurately reflects or assesses the specific concept that the investigator is attempting to measure. Ask if what is actually being measured is what was set out to be measured. As an investigator, you must be concerned with both external and internal validity.For this section, provide specific validity statistics found in the literature for quantitative instruments, identifying how they were developed. NOTE: Learners should not be developing any quantitative instruments without permission from the DNP department.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackValidityThis section provides specific validity statistics for quantitative instruments, identifying how they were developed, and explains how validity will be addressed during data collection approaches. NOTE: Learners should not be developing nor modifying any quantitative instruments.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Reliability

This section describes and defends the procedures used to determine the reliability of the data collected. Reliability is the extent to which an experiment, test, or any measuring procedure is replicable and yields the same result with repeated trials. For this section, provide specific reliability statistics for quantitative instruments, identifying how the statistics were developed from the literature.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackReliabilityThis section provides specific reliability statistics for quantitative instruments, identifying how the statistics were developed, and explains how reliability will be addressed during data collection approaches.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Data Collection Procedures

This section details the entirety of the process used to collect the data. Describe the step-by-step procedures used to carry out all the major steps for data collection for the project in a way that would allow another investigator to replicate the project. The key elements of this section include:· A description of the procedures for project sample recruitment, sample selection, and assignment to groups (e.g. comparison versus intervention).· A description of the procedures for obtaining informed consent and for protecting the rights and well-being of the project sample participants, as well as those completing instruments on them.· A description of the procedures adopted to maintain data securely, including the length of time data will be retained, where the data will be retained, and how the data will be destroyed.· A description of the procedures for data collection, including how each instrument or data source was used, how and where data were collected, and how data were recorded.· An explanation of the independent and dependent variables (if applicable), and how the resulting change in those variables is measured (if applicable),· An explanation of how variables were compared (if applicable).CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackData Collection ProceduresThis section details the entirety of the process used to collect the data. It describes each step of the data collection process in a way that another investigator could replicate the project.This section describes the step-by-step procedures used to carry out all the major steps for data collection for the project in a way that would allow another investigator to replicate the project.This section describes the procedures for project sample recruitment, sample selection, and assignment to groups (if applicable).This section describes the procedures for obtaining informed consent and for protecting the rights and well-being of the project sample participants, as well as those completing instruments on them.This section describes the procedures adopted to maintain data securely, including the length of time data will be retained, where the data will be retained, and how the data will be destroyed.This section describes the procedures for data collection, including how each instrument or data source was used, how and where data was collected, and how data were recorded.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).


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