Finding Data for Quantitative Analysis Lecture 11.

Slides:

Advertisements

Similar presentations

Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.

Advertisements

Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.

UNDERSTANDING MASS SUPPORT FOR DEMOCRACY Conclusion to Course.

Report Preparation. Write to the audience  Who is the audience  What are its objectives and expectations  When there are two or more audiences use.

Statistics II: An Overview of Statistics. Outline for Statistics II Lecture: SPSS Syntax – Some examples. Normal Distribution Curve. Sampling Distribution.

© 2000 Prentice-Hall, Inc. Chap Multiple Regression Models.

Multiple Regression Models. The Multiple Regression Model The relationship between one dependent & two or more independent variables is a linear function.

Statistics 350 Lecture 16. Today Last Day: Introduction to Multiple Linear Regression Model Today: More Chapter 6.

EPI809/Spring Models With Two or More Quantitative Variables.

Decision Tree Type of Data Qualitative (Categorical) Type of Categorization One Categorical Variable Chi-Square – Goodness-of-Fit Two Categorical Variables.

STRATEGIES FOR RESEARCH Approaching the Paper Assignment.

Review for Final Exam 2011, 12, 8. Important Dates Today: All late HWK Due 5.12 (TR): Submit your project paper to Hauser 105 between 3:45-4:45. Final.

Stat 350 Lab Session GSI: Yizao Wang Section 016 Mon 2pm30-4pm MH 444-D Section 043 Wed 2pm30-4pm MH 444-B.

Week Lecture 3Slide #1 Minimizing e 2 : Deriving OLS Estimators The problem Deriving b 0 Deriving b 1 Interpreting b 0 and b 1.

Wrap-up and Review Wrap-up and Review PSY440 July 8, 2008.

Quantitative Research Methods for Information Systems and Management (Info 271B) Course Introduction: Preface to Social Research and Quantitative Methods.

Report Preparation. Write to the audience  Who is the audience  What are its objectives and expectations  When there are two or more audiences use.

Everything I wish I had known about research design and data analysis… Statlab Workshop Fall 2006 Kyle Hood and Frank Farach.

Statistics for the Social Sciences Psychology 340 Spring 2005 Course Review.

Robert delMas (Univ. of Minnesota, USA) Ann Ooms (Kingston College, UK) Joan Garfield (Univ. of Minnesota, USA) Beth Chance (Cal Poly State Univ., USA)

Course Introduction: Preface to Social Research and Quantitative Methods.

Chapter 13: Inference in Regression

PPA 415 – Statistical Methods in Public Administration Lecture 1c – Research Design Summary.

Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &

Week 4: Multiple regression analysis Overview Questions from last week What is regression analysis? The mathematical model Interpreting the β coefficient.

MARKETING RESEARCH ESSENTIALS WITH DATA ANALYSIS IN EXCEL AND SPAA McDaniel │ Gates │ Sivaramakrishnan │ Main Chapter Fourteen: Statistical Tests of Relation.

+ Research Methods CYPA AP Psychology Review Session 2.

Qualitative versus Quantitative Research (Source: W.G. Zikmund, “Business Research Methods,” 7th Edition, US, Thomson, South-Western, 2003)

Multiple Linear Regression. Purpose To analyze the relationship between a single dependent variable and several independent variables.

Week 5: Logistic regression analysis Overview Questions from last week What is logistic regression analysis? The mathematical model Interpreting the β.

Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.

PY 603 – Advanced Statistics II TR 12:30-1:45pm 232 Gordon Palmer Hall Jamie DeCoster.

The Information School of the University of Washington LIS 570 Session 8.2 Notes on Presentations and Papers.

STAT 3130 Statistical Methods I Lecture 1 Introduction.

Reasoning in Psychology Using Statistics

Chapter 13 Multiple Regression

PSYC 6130 One-Way Independent ANOVA. PSYC 6130, PROF. J. ELDER 2 Generalizing t-Tests t-Tests allow us to test hypotheses about differences between two.

MATH – High School Common Core Vs Kansas Standards.

I271B The t distribution and the independent sample t-test.

11/25/2015Marketing Research2 Observation (Variables) Theory (Concepts)

Reasoning in Psychology Using Statistics Psychology

Choosing the Correct Analysis. Class #2, First Activity Analyzed first and last names –# of letters in first name –letter E in first name –length, in.

Case studies in marketing research introduction. Teachers Radoslav Škapa cz Room 637Office hours: Tuesday: 12: :30 Alena Klapalo.

I271B QUANTITATIVE METHODS Regression and Diagnostics.

MATH 4030 – 11A ANALYSIS OF R X C TABLES (GOODNESS-OF-FIT TEST) 1.

Multiple Regression Learning Objectives n Explain the Linear Multiple Regression Model n Interpret Linear Multiple Regression Computer Output n Test.

Jump to first page Inferring Sample Findings to the Population and Testing for Differences.

The Chi-Square Distribution  Chi-square tests for ….. goodness of fit, and independence 1.

Lecture note on statistics, data analysis planning – week 14 Elspeth Slayter, M.S.W., Ph.D.

32931 Technology Research Methods Autumn 2017 Quantitative Research Component Topic 4: Bivariate Analysis (Contingency Analysis and Regression Analysis)

Quantitative Data Analysis and Interpretation

Covariance/ Correlation

BASIC ECONOMETRICS.

Design of Experiments (DOE)

Lecture 10 Regression Analysis

Dr. Siti Nor Binti Yaacob

Covariance/ Correlation

Covariance/ Correlation

BIVARIATE REGRESSION AND CORRELATION

2. Find the equation of line of regression

Finding and Preparing Data

Chi Square Test for Independence

CHAPTER 1 Exploring Data

CHAPTER 1 Exploring Data

CHAPTER 1 Exploring Data

Covariance/ Correlation

CHAPTER 1 Exploring Data

What’s the plan? First, we are going to look at the correlation between two variables: studying for calculus and the final percentage grade a student gets.

CHAPTER 1 Exploring Data

CHAPTER 1 Exploring Data

Presentation transcript:

Finding Data for Quantitative Analysis Lecture 11

2 Agenda Discussion of Assignment 2 Using Bivariate Statistics Using Bivariate Statistics Some Further Discussion of Linear Regression Using STATA Finding Data for Quantitative Analysis Final Projects

3 Assignment Two Effect size versus significance Bivariate statistics in survey data analysis Chi-square goodness-of-fit versus chi-square test of independence Pay close attention to variable coding before interpreting

4 More Linear Regression Using categorical variables “Nested” models and F-change statistics

5 Finding Data for Quantitative Analysis Berkeley Survey Research Center UC Data (access to ICPSR)

6 Final Projects Group size 2-3 students 10 minute presentation which includes: Description of your research interests Description of your research interests Includes your ‘hypotheses’ or expected relationships. Only restriction is that you need to use at least 3 different types of statistical tests. Description of your dataset Description of your dataset E.g., how was it collected? Sample size? Other special issues? Results Results Support or not support your hypotheses? Conclusion Conclusion The final ‘paper’ will follow the same general outline No page limit, but recommended length is ~ 5 pages. No page limit, but recommended length is ~ 5 pages.