HSS 4101 Lecture Notes - Lecture 4: Descriptive Statistics, Convenience Sampling, Convergent Validity

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How data are collected and analyzed play an important role in the success of a health program: the quality of your program is only as good as the tools and procedures used to implement and evaluate it. The process of applying numerical or narrative data from an instrument (e. g. a questionnaire) or other data-yielding tools to objects, events, or people. Types: quantitative: numerical data collected, qualitative: data collected with the use of narrative and observational approaches. Match with outcomes about knowledge and comprehension. Matched with outcomes about application, analysis, (define, classify, recall, recognize) May be generalized to greater population with larger synthesis, evaluate. Ability to capture elusive evidence of student learning and development samples. Levels of measurement: nominal data into categories; mutually exclusive; categories are exhaustive, ordinal data into categories; mutually exclusive & exhaustive: but also rank ordered; cannot measure distance between categories.

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