PPT-Quantitative data analysis #2: practical examples

Domenico Giordano Andrea Valassi CERN ITSDC With contributions from and many thanks to Hassen Riahi White Area Lecture 3 rd June 2015 Followup to the previous White Area Lecture on 18. Assessment Committee 2009. Division of Campus Life, Emory University. What is quantitative data analysis?. Types of quantitative data used in assessment. Descriptive statistics. Utilizing Microsoft Excel. Michael Santoro,. Queens College English Department. Introduction to Quantitative Formalism. “’Distant reading’, I have once called this type of approach; where distance is however not an obstacle, but a specific form of knowledge…” . Session aims . To increase your understanding of the philosophical and methodological foundations of health-related research . To encourage you to consider which methodology/s, design and methods are appropriate to answer different types of research questions and so be familiar with all of the stages of the research process and therefore be able to undertake a research project. research. Dr Liz FitzGerald. Institute of Educational Technology. Research and research methods. Research methods are split broadly into quantitative and qualitative . methods. Which you choose will depend on . saw@ecs.soton.ac.uk. http://. www.edshare.soton.ac.uk. /6296/. Reality Check. You can’t learn statistical analysis is an hour. I can’t begin to teach you all there is to know about statistical analysis in an hour. Perceived gender differences in obedience. Lesson 1 . Aim: . Alternate hypothesis: Non-directional. Sampling technique:. Procedure:. Ethical issues: . Begin working on questions. 8 closed questions (at least 3 reversed). Michael . Ouya. Contents. Introduction. Research questions. Study Design. Fish Farmer Health Survey. Qualitative Results. Quantitative Results. PHP Outlet (Agrovet) Survey. Qualitative Results. Quantitative . Module 4: Analyzing & Reporting Assessment Results. © 2013 Christie Cruise-Harper, PhD . All Rights Reserved. The purpose of this module is to assist you with . analyzing the data you gathered for . th. edition - For AP*. STARNES, YATES, MOORE. Chapter 1: Exploring Data. Introduction. Data Analysis: Making Sense of Data. Chapter 1. Exploring Data. Introduction. :. . Data Analysis: Making Sense of Data. Stanley Pogrow. stanpogrow@att.net. Professor of Educational Leadership and Equity at San Francisco State University, Professor Emeritus at the University of Arizona, and visiting endowed chairs at USC and Seattle University. . Rev. 2/3/2017. 6/13/2018. Participating States. 12 States. Connecticut, . Hawaii. , Indiana, . Kentucky. , Maine, Massachusetts, Minnesota, Missouri, Oregon, Rhode Island, Texas, and Utah. 6/13/2018. - Overview -. Why gene expression analysis?. Quantification of mRNA transcript abundance. High specificity, +/- high through-put. Requires sequence knowledge. Considerations. Experimental question. Species limitations . Qualitative and Quantitative Research. Quantitative Research. A type of educational research in which the researcher decides what to study.. Qualitative Research. A type of educational research in which the researcher relies on the views of the participants.. A simplified approximation of the principle of WDS analysis is as follows:. C. A. (sp) = [I. A. (sp)/I. A. (st)]C. A. (st). Where . C. A. (sp) = concentration in specimen. C. A. (st) = concentration in standard.