This post has 2 assignments

Choose a quantitative original research study to complete your analysis (following the example provided) and create a quantitative instrument (with specific questions). See examples provided. 

Just a few reminders…

– Use ONLY the mock topic from week 1 for all work in this course

– Embed all previous feedback in each new assignment

– Obtain a copy of the APA 7th edition manual to see examples of scholarly language and format

– Always check all the attachments and examples provided

Always make sure to provide your original  empirical research rather than providing the review.

provide answer in separate documents for each assignment.

Assignment 1: summary of a quantitative research article

Overview: We will focus on writing a scholarly summary of a quantitative journal. More information about writing a summary can be found via the web resource “Writing Scholarly Abstracts.” Since the purpose of this summary is to summarize, there should not be any direct copying and pasting from the original article. 

Directions: View the rubric to make sure you understand the expectations of this assignment. Create a 1-2 page (more is fine) single-spaced Analysis of Research summary published quantitative scholarly article related to your mock dissertation topic/research question from week 1. Additionally, this assignment functions just like assignment R.1 only it reviews a quantitative article instead of a qualitative one. Brevity and being concise are important as this analysis is intended to be a brief summation of the research.

Each summary must therefore consist of the following in this order:

  1. Bibliographic Citation – use the correctly formatted APA style citation for the work as the title of your abstract, displaying the full citation in bold font.
  2. Author Qualifications – name and qualification of each author conducting the research
  3. Research Concern – one paragraph summary of the reason for the overall research topic
  4. Research Purpose Statement AND Research Questions or Hypotheses – specific focus of the research
  5. Precedent Literature – key literature used in proposing the needed research (not the full bibliography or reference list)
  6. Research Methodology – description of the population, sample, and data gathering techniques used in the research
  7. Instrumentation – description of the tools used to gather data (surveys, tests, interviews, etc.)
  8. Findings – summation of what the research discovered and the types of analysis that were used to describe the findings (tables, figures, and statistical measures)

Assignment 2: Quantitative Data Collection Instrument:

Overview: Using the topic and research question you developed in week 1, you will design a quantitative instrument that could potentially answer your topic/research question if it were to be applied to a quantitative study. Keep in mind, this may take some stretching if you wrote your question leaning quantitatively. The purpose here is not to box you in but to ensure that you have a solid understanding of both methodologies. This assignment functions similar to 3.1 but in a quantitative format. Finally, view the rubric and examples to make sure you understand the expectations of this assignment.

Directions:

You will develop a word document to include:

  1. Your research question in the form of a quantitative question (if it was not already).
  2. An instrument or protocol (survey, questionnaire, archival data, etc) that could be used to answer the quantitative version of your research question. 

*Special note for those using archival data, you will describe the process of data retrieval for your archival data.

  1. A one-paragraph description/justification of how your chosen instrument/protocol is the best choice for answering the quantitative version of your research question. This should include citations from the literature to support justification. 

Additional links:

 Types of quantitative research question | Lærd Dissertation 

 What is Quantitative Data? Types, Examples & Analysis | Fullstory 

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