PPT-A Regression Analysis of Student Motivation and the Effect

Kathryn Beck Graduate Student Applied Economics Supplemental Instruction SI Academic Support Program Historically difficult courses High DFW rates SI Sessions for review and study Example Business Statistics 1. Clare Heaney: Director of Studies. CLASSROOM MANAGEMENT??. What is Classroom Management. Effective Discipline. Being prepared for class. Motivating your students. Providing a safe, comfortable learning environment. Design. Basics. Two potential outcomes . Yi(0) . and. Yi(1), . causal effect . Yi(1) − Yi(0), . binary treatment indicator . Wi. , . covariate. Xi, . and the observed outcome equal to:. At . Xi = c . Objective. Explain What is the Reinforcement Theory of Motivation. Explain What is meant by the ‘Law of Effect’. Explain What is meant by the ‘Quantitative Law of Effect’. Explain the Types of Reinforcement. Clare Heaney: Director of Studies. CLASSROOM MANAGEMENT??. What is Classroom Management. Effective Discipline. Being prepared for class. Motivating your students. Providing a safe, comfortable learning environment. 2. The Course. 14 (or so) lessons. Some flexibility. Depends how we feel. What we get through. 3. Part I: Theory of Regression. Models in statistics. Models with more than one parameter: regression. Samples to populations. 1. 3.6 Hidden Extrapolation in Multiple Regression. In prediction, exercise care about potentially extrapolating beyond the region containing the original observations.. Figure 3.10. An example of extrapolation in multiple regression.. Intro to PS Research Methods. Announcements. Final on . May 13. , 2 pm. Homework in on . Friday. (or before). Final homework out . Wednesday 21 . (probably). Overview. we often have theories involving . Example Data Set. Y. X. 5. 20. 6. 23. 7. 27. 8. 33. 8. 31. 9. 35. 10. 43. 5. 19. 6. 25. 7. 29. 8. 31. Estimate two models. Model with y-intercept. Y = a b * X. Regression Statistics. Multiple R. 0.984. 9-. 1. 2. Objectives. Understand the basic types of data. Conduct basic statistical analyses in Excel. Generate descriptive statistics and other analyses using the Analysis . ToolPak. Use regression analysis to predict future values. &. Double Machine learning. Review of Causal Inference. Office of the Chief Economist |. 2. Review of Causal Inference. Natural of Science: uncovering cause-and-effect relationships. Experiments are important tools to uncover causal relationship. La gamme de thé MORPHEE vise toute générations recherchant le sommeil paisible tant désiré et non procuré par tout types de médicaments. Essentiellement composé de feuille de morphine, ce thé vous assurera d’un rétablissement digne d’un voyage sur . Motivation. . &. . Emotion. Stress. Sources. Measures. Theories. Effects. Coping. Motivation. Maslow’s Hierarchy of Needs. Drive Reduction Theory. Arousal Theory. Intrinsic/. Extrinsic Motivation. According to Philip . Kotler. . “A product is anything that can be offered to a market for attention, acquisition, use or consumption. It includes physical objects, services, personalities, place, organisation and ideas.”. Warm UP. Define the following terms. Homeostasis. Drive Reduction Theory. Theory of Optimal Arousal. Glucose. Hypothalamus in relation to hunger. Leptin. PYY. Set Point. Alfred Kinsey. Considered the father of the study of human sexuality for conducting his studies in the 1940’s. .