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Health Statistics Part 1 Case

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Required Reading and Resources

Centers for Disease Control and Prevention [CDC]. (2012). Lesson 4: Displaying public health data. In Principles of epidemiology in public health practice [3rd ed.]. Retrieved from www.cdc.gov/ophss/csels/dsepd/ss1978/lesson4/index.html

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Cook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 1: Laying the foundations: Measurements and probability. In Basic skills in statistics: A guide for healthcare professionals (pp. 3-14). London, GBR: Class Publishing. eISBN: 9781859591291.

Statistics Learning Centre. (2011, December 13). Types of data: Nominal, ordinal, interval/ratio . Retrieved from http://www.youtube.com/watch?v=hZxnzfnt5v8

Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 1: The basics. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.

Partners in Information Access for the Public Health Workforce. (2016, August 9). Health data tools and statistics. Retrieved from https://phpartners.org/health_stats.html

HOMEWORK ASSIGNMENT:

Part I (approximately 1–1½ pages, total):

Copy and paste the following examples (1-6 below), then respond by classifying each of the following variables as either: nominal, ordinal, interval, or ratio. Provide a brief explanation where indicated.

A researcher studying lifespan ; ; ; ; ;categorizes individuals into single, married, divorced, or widowed. What ; ; ; ; ;type of variable measurement is this? A cognitive scientist places ; ; ; ; ;her subjects into categories based on how anxious they tell her that they ; ; ; ; ;are feeling: “not anxious,” “mildly anxious,” “moderately anxious,” and ; ; ; ; ;“severely anxious,” and she uses the numbers 0, 1, 2 and 3 to label ; ; ; ; ;categories where lower numbers indicate less anxiety. What type of ; ; ; ; ;variable measurement is this? Are the categories mutually exclusive? A Physician diagnoses the ; ; ; ; ;presence or absence of disease (i.e., yes or no). What type of variable ; ; ; ; ;measurement is this? A person weighing 200 lbs. is ; ; ; ; ;considered to be twice as heavy as a person weighing 100 lbs. In this ; ; ; ; ;case, what type of measurement is body weight? A nurse takes measurements of ; ; ; ; ;body temperature on patients and reports them in units of degrees ; ; ; ; ;Farenheit as part of a study. What type of variable measurement is this? Patients rate their experience ; ; ; ; ;in the emergency room on a five point scale from poor to excellent (1 = ; ; ; ; ;very poor, 2 = not very good, 3 = neither good nor bad, 4 = quite good, ; ; ; ; ;and 5 = excellent). What type of variable measurement is this? Is the ; ; ; ; ;difference between a 1 and a 2 necessarily the same as the difference ; ; ; ; ;between a 3 and a 4? Explain briefly.

Part II: Statistics (1/2 page)

Given what you’ve learned in this module about the meaning of “statistics,” choose one of the examples from Part I (1-6), and raise a relevant question of your own that could be answered by a statistician. Then without answering your own question, explain how a pattern could be studied or a useful prediction made based on data that are to be collected.

Part III: Quantitative vs. Qualitative Data (approximately 1–1½ pages)

A health scientist wishes to measure how well participants diagnosed with Post Traumatic Stress Disorder are coping. Explain how a variable such as coping could be measured quantitatively or qualitatively.

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