Reply to the discussion on What is Quantitative Research

Reply to the discussion on What is Quantitative Research

Please reply to the discussion on What is Quantitative Research .For each reply must be 450–600 words. Each thread and each reply must include at least 2 scholarly sources in addition to the textbook and relevant scriptural integration. All citations and references must be in current APA format. TEXTBOOK IS Melnyk, B., & Fineout-Overholt, E. (2015). Evidence-based practice in nursing and healthcare: A guide to best practice (4th ed.). Philadelphia, PA: Wolters Kluwer. ISBN: 9781496384539.

Emily Cox

What is Quantitative Research?

Quantitative research has an entirely different purpose than qualitative research (Flipp, 2014). The purpose of quantitative research is “to examine the relationship between variables” (Flipp, 2014, 0:51). Variables are characteristics (Flipp, 2014). Characteristics in quantitative research can be identified as independent, dependent, and/or extraneous (Flipp, 2014; Melnyk & Fineout-Overholt, 2015). When the researcher manipulates a characteristic, it is called an independent variable (Flipp, 2014). Dependent characteristics are variables that are impacted by the independent variables (Flipp, 2014). Finally, extraneous variables relate to demographics and do not create value for the researcher (Flipp, 2014). When conducting quantitative research, the question in speculation contains a hypothesis and typically uses the words “how”, “what”, and “does” (Curry, 2015; Flipp, 2014). The data collected through quantitative research is numerical in form and is derived from what the sample of participants check off on questionnaires or surveys (Flipp, 2014). Quantitative research utilizes random sampling (Curry, 2015). Once the data has been collected, it is analyzed by the researcher and results in a statistical report (Curry, 2015; Flipp, 2014; Melnyk & Fineout-Overholt, 2015). Quantitative research studies create value by generalizing larger sample populations (Melnyk & Fineout-Overholt, 2015).

Applying Quantitative Research to Assisted Living

The use of quantitative research in assisted living facilities has the ability to identify many opportunities to improve care, develop well-attended recreational programs and much more (Chen, Li, & Yen, 2015). Chen, Li, and Yen (2015) conducted a quantitative research study that asked, “How much time did you spend performing moderate, hard, and very hard activities over the previous 7 days?” (Plys, 2019, p. e210). This question is a quantitative research question as the results can be measured and will be concluded in the form of a statistical report (Curry, 2015, Flipp, 2014; Melnyk & Fineout-Overholt, 2015). Chen, Li, and Yen (2015) captured their data by offering participants instruments in the form of “a demo-graphic data sheet, a health status pro?le, the Geriatric Depression Scale Short-Form (GDS-SF), the Self-Ef?cacy for Physical Activity Scale (SEPA), and the Seven-day Physical Activity Recall (7-day PAR)” (p. 212). The results of Chen, Li, and Yen (2015) were summarized in a statistical report using percentages, means, and standard deviations to describe the data. Another quantitative research topic that could be facilitated in assisted living environments could include the amount of time healthcare professionals spend proving care as it relates to a certain activity of daily living. This research would provide the necessary statistical data to staff for residents receiving this particular assistance.

Biblical Integration

Researchers conduct studies to reveal evidence and bring awareness about a particular subject (Melnyk & Fineout-Overholt, 2015). The Bible teaches us the importance of knowing God is with us through all of our endeavors (Psalm 23:4). For Christians, the awareness of God’s presence energies us for our daily journey (Deuteronomy 20:1-4). Quantitative research studies provide awareness of facts and patterns through statistical data (Curry, 2015; Flipp, 2014; Melnyk & Fineout-Overholt, 2015). This evidence can then be used in daily healthcare practices to formulate better treatment methods and outcomes for patients (Melnyk & Fineout-Overholt, 2015).

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