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Week 5_normal curve_z_hypt testing

Week 5_normal curve_z_hypt testing - SAN JOS STATE...

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1 SAN JOSÉ STATE UNIVERSITY College of Social Work S. W. 242 Spring 2008 Edward Cohen Week 5: February 22, 2008 (Some of this will be covered in Week 6 as well) The Normal Curve; z Scores; Area Under the Curve (Preliminary material for hypothesis testing) Comments on Assignment 1 Intro to statistical inference Intro to SPSS Final Paper preparation – bring your Introduction and research question(s) or hypothesis next week, or notes from them “Statistics means never having to say you’re certain!” Anon. Normal curve Normal distribution Skewed distribution z score “area under the curve” Statistical inference Null hypothesis Alternative hypothesis p value I. Comments on Assignment 1 A. Adjust language for your population. Children require different language than adults. Use less technical description of research questions, e.g. avoid “The effects of …” This is true for the Informed Consent as well—you don’t have to use your exact study title. Also avoid using words in scripts or questions like “child abuse,” “mental illness,” “trauma” and other words that might put people off or bias their response (except, see #4 below). In general for any population, avoid technical jargon and acronyms in scripts and questions. B. Regarding “ethnicity”—most of the time it’s best just to ask someone “What ethnicity do you identify with most?” as an open ended question. Then, later you can always categorize the responses as a nominal variable. People tend to not like being categorized in boxes, and the end result of either way you ask the question is the same. C. In your final paper, the Informed Consent will be added as an attachment. You will be referring to it in your Methods section. D. Make clearer the distinction between the quantitative and qualitative components. You can say “mixed methods” but you still have to differentiate research questions, design, sampling, interviewing, and analysis methods for both types of components.
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E. Qualitative studies require many fewer participants in the sample than quantitative designs. F. With some sensitive subjects, ask questions in a less personalized nature. For example, when asking youth about their emotional problems and social interactions, instead of asking “Do you think your emotional problems affect your social interactions?”, ask “Do you think that people’s emotional problems affect how they get along with others, or affect what their relationships are like?” In this way you approach your respondents as experts rather than as subjects, and you are more likely to get better information. G.
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