The Quantitative Research Project is a three-part research and analysis paper based on a sample dataset provided to you. You will present a research question related to a dataset, explore variables that relate to this research question, analyze the data using descriptive and inferential statistics, describe your results, and discuss your findings, limitations, implications, and possibilities for future research.
For this Performance Task Assessment, you will write Part 1 of your Project, which will focus on data collection and management. In the following Competencies, you will develop Parts 2 and 3, in which you will analyze and interpret the data.
Submission Length: 2–3 pages representing Part 1 of a Quantitative Research Project research and analysis paper.
Professional Skills: Written Communication, Interpreting Data and Quantitative Fluency, and Technology are assessed in this Competency.
Your response to this Assessment should:
Reflect the criteria provided in the rubric.
Adhere to the required assignment length.
Use the APA course paper template available here.
PART 1: DATA COLLECTION AND MANAGEMENT
For this Performance Task Assessment, you will work with a given dataset, developing research question(s) and a plan for cleaning the existing data in order to answer your questions.
To prepare for your Performance Task Assessment:
Follow the steps in the PS001 section of the Quantitative Research Project Worksheet to select your dataset and variables, generate research questions, and clean the data. Take notes as needed.
To complete this Performance Task Assessment:
Write a 2- to 3-page paper that creates a narrative based on the Worksheet. Include the following:
Introduction
Identify the dataset you chose to work with and explain how it could contribute to research in your field or discipline. Note: if using one of the fictionalized datasets, some degree of conjecture is allowed.
Choose either the comparative or relational research question that you developed in your Worksheet to use for your Quantitative Research Project. Present your research question.
Method
Describe the participants represented in the dataset.
Identify the variables you chose to answer your selected comparative or relational research question and describe the scales of measurement for each variable.
Describe any quantitative instruments used to measure the variables.
Describe procedures you used to select, clean, and manage variables from your dataset. Describe how histograms could be useful in data cleaning.
Identify and justify an appropriate research design that aligns with your research question.
Identify the statistical assumptions (e. g., normality, independence, homogeneity of variance that should be considered for each variable that you selected.
Be specific, provide examples, and justify your response with citations from the resources in your Learning Activities or from your search from the literature and/or the Walden Library.
