College of Doctoral Studies

/in /by

Grand Canyon University

College of Doctoral Studies

Ten Strategic Points: QUANTITATIVE

Aligns with new v9.0 Template

 

Please find below an updated copy of the 10 strategic points that is focused on a quantitative study. This copy includes tips in the right-hand column to guide you as you develop your 10 strategic points. Delete the bulleted items in the right column as you add your own information there.

 

QUANTITATIVE STUDY Ten Strategic Points

The ten strategic points emerge from researching literature on a topic, which is based on, or aligned with a defined need or problem space within the literature as well as the learner’s personal passion, future career purpose, and degree area. The Ten Strategic Points document includes the following key points that define the research focus and approach:

Strategic Points DescriptorLearner Strategic Points for Proposed Study
1.Dissertation Topic– Provides a broad research topic area/title.Topic comes out of problem space supported by the literature, not the learner’s head or personal agenda

Aligned to the learners’ program of study, and ideally the emphasis area

Researchable and feasible to complete within the learners’ doctoral program of study including extension courses as needed.

Focused

2.Literature Review – Lists primary points for four sections in the Literature Review: (a) Background of the problem and the need for the study based on citations from the literature; (b) Theoretical foundations (theories ,models, and concepts) and if appropriate the conceptual framework to provide the foundation for study); (c) Review of literature topics with key themes for each one; (d) Summary.· Background to the problem

· Literature is predominantly from past 5 years

· Historical treatment of problem being studied

· Clearly defines a stated need

· Theoretical foundation

· Theories, models, or concepts and if appropriate the conceptual framework are described to guide the research and the data collection

· Review of literature topics

· Relevant to the topic

· Demonstrates breadth of knowledge

3.Problem Statement – Describes the problem to address through the study based on defined needs or problem space supported by the literature· Statement is structured appropriate for the design

· Researchable

· Quantitative: Researchable variables to be better understood

4.Sample and Location – Identifies sample, needed sample size, and location.· Size is appropriate for design

· Likely to be able to access it/get permission

· Identify alternative to their organization (associations, community orgs, research companies, snowball sampling, etc.)

5.Research Questions – Provides research questions to collect data to address the problem statement.· Appropriate for the design

· Resulting data will address the problem statement

· Minimum of 2

6.Hypothesis/Variables – Data sources are valid; variables are clearly defined and measurable (quantitative)· Quantitative: Data sources are valid; variables are clearly defined and measurable

·

7.Methodology and Design – Describes the selected methodology and specific research design to address the problem statement and research questions.· Methodology and design sections

· Appropriate for problem statement

· Justifies the methodology or design using problem statement and citations

· Methodology does not discuss design, instrument, data collection

Design does not discuss instrument, data collection, data analysis

8.Purpose Statement – Provides one sentence statement of purpose including the problem statement, methodology, design, target population, and location.· Purpose statement = Methodology + design + problem statement + sample + location

·

9.Data Collection – Describes primary instruments and sources of data to answer research questions.· Quantitative: Validated/previously used instrument or data source clearly identified for each variable; demographic variables identified and appropriate to the study. Comment by GCU: In quantitative studies various demographics can be variables. One might compare transformational leadership behaviors for males and females or different management levels within an organization or between different age groups. Or demographic variables might be one of the predictor variables in a hierarchical regression

· Describes sample; various permissions needed; recruiting and select final sample; data collection steps; how data will be stored, security maintained, privacy maintained

10.Data Analysis – Describes the specific data analysis approaches to be used to address research questions.· Quantitative: Include testing assumptions; descriptive statistics; specific inferential statistics appropriate for design and type of variables; appropriate for hypotheses

· Data analysis approach aligned to the design/variables/RQs & hypotheses

 

 

2 Quantitative 10 Strategic Points, v. 9.0 August 10, 2020

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