Introduction to Linear Statistical Modelling Using R

Slides:



Advertisements
Similar presentations
To Select a Descriptive Statistic
Advertisements

Wednesday AM  Presentation of yesterday’s results  Associations  Correlation  Linear regression  Applications: reliability.
Correlation Chapter 6. Assumptions for Pearson r X and Y should be interval or ratio. X and Y should be normally distributed. Each X should be independent.
By Wendiann Sethi Spring  The second stages of using SPSS is data analysis. We will review descriptive statistics and then move onto other methods.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Review of the fundamental concepts of probability Exploratory data analysis: quantitative and graphical data description Estimation techniques, hypothesis.
Wrap-up and Review Wrap-up and Review PSY440 July 8, 2008.
Measures of Association Deepak Khazanchi Chapter 18.
Statistics for the Social Sciences Psychology 340 Spring 2005 Course Review.
State vs Trait Constructs. Project question 4 n Does your test measure a state or a trait?
Statistical hypothesis testing – Inferential statistics II. Testing for associations.
Statistics for the Social Sciences Psychology 340 Fall 2013 Tuesday, November 19 Chi-Squared Test of Independence.
Simple Linear Regression
Understanding Basic Statistics Chapters Covered in Term 1 1.Getting Started 2.Organizing Data 3.Averages and Variation 4.Correlation and Regression 5.Elementary.
Experimental Research Methods in Language Learning Chapter 11 Correlational Analysis.
Kanchana Prapphal, Chulalongkorn University Statistics for Language Teachers Kanchana prapphal May 23, 2002 Kasetsart University.
Post Test Section 8. Step 1 - Print the output file (SPSS Viewer) Select: File > Print > OK.
Choosing the Appropriate Statistics Dr. Erin Devers October 17, 2012.
SPSS Basics and Applications Workshop: Introduction to Statistics Using SPSS.
Quantitative Methods in Geography Geography 391. Introductions and Questions What (and when) was the last math class you had? Have you had statistics.
Week 8: QUANTITATIVE RESEARCH (2) An introduction to using SPSS to summarise & analyse survey data MA CORPORATE SOCIAL RESPONSIBILITY ACP011C – RESEARCH.
Math 341 January 23, Outline 1. Recap 2. Other Sampling Designs 3. Graphical methods.
Education 795 Class Notes Introduction and Overview Note set 1.
Chapter 9 Correlational Research Designs. Correlation Acceptable terminology for the pattern of data in a correlation: *Correlation between variables.
LESSON 6: REGRESSION 2/21/12 EDUC 502: Introduction to Statistics.
CS 110: Introduction to Computer Science Relationship Networking in CS: How to make it work for you!
Outline of Today’s Discussion 1.Practice in SPSS: Scatter Plots 2.Practice in SPSS: Correlations 3.Spearman’s Rho.
1 FREE SAS SOFTWARE. 2 FREE SOFTWARE Free SAS ® software. SAS STUDIO; An interactive, online community. Superior training and documentation. And the analytical.
SOCW 671 #11 Correlation and Regression. Uses of Correlation To study the strength of a relationship To study the direction of a relationship Scattergrams.
Method 3: Least squares regression. Another method for finding the equation of a straight line which is fitted to data is known as the method of least-squares.
PXGZ6102 BASIC STATISTICS FOR RESEARCH IN EDUCATION
Welcome to Introductory SPSS Workshop  Dr. Satyendra Singh Director, Centre for Emerging Markets Professor, Marketing and International Business Editor,
Approaches to quantitative data analysis Lara Traeger, PhD Methods in Supportive Oncology Research.
Correlations: Linear Relationships Data What kind of measures are used? interval, ratio nominal Correlation Analysis: Pearson’s r (ordinal scales use Spearman’s.
Correlation and Regression. O UTLINE Introduction  10-1 Scatter plots.  10-2 Correlation.  10-3 Correlation Coefficient.  10-4 Regression.
Numeracy & Quantitative Methods: Level 7 – Advanced Quantitative Analysis.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Four ANALYSIS AND PRESENTATION OF DATA.
Numeracy & Quantitative Methods: Level 7 – Advanced Quantitative Analysis.
Statistics and Storytelling with Data
Correlation and Linear Regression
CHAPTER 10 & 13 Correlation and Regression
Playing with SPSS: Before Your data collection Francis Duah
SPSS: Using statistical software — a primer
Simple Bivariate Regression
Bivariate Relationships
Linear Mixed Modelling Using R
Lecture 10 Regression Analysis
Math 4030 Probability and Statistics for Engineers
Multivariate Analysis
Correlations NOT causal relationship between variables predictive.
Math 145 January 23, 2007.
Chapter 5 STATISTICS (PART 4).
Carrie O’Reilly, Ph.D., M.S.N., RN Touro University Nevada
Dr. Siti Nor Binti Yaacob
Correlation and Regression
S519: Evaluation of Information Systems
Understanding Research Results: Description and Correlation
Wednesday, September 23 Descriptive v. Inferential statistics.
Relationship Networking in CS: How to make it work for you!
Analyzing the Relationship Between Two Variables
Section 1.4 Curve Fitting with Linear Models
Multiple Linear Regression
15.1 The Role of Statistics in the Research Process
Math 145 September 6, 2005.
RES 500 Academic Writing and Research Skills
Cases. Simple Regression Linear Multiple Regression.
Correlation & Regression
Relations P.O.D. #37 March
Business Statistics - QBM117
Presentation transcript:

Introduction to Linear Statistical Modelling Using R Francis Duah Maths Skills Centre, Academic Support Office francis.duah@york.ac.uk

Session Outline Training Available Introduction to the R platform and R Studio Descriptive Statistics Graphical displays Linear Regression Regression Diagnostics

Quantitative Data Analysis Face to face training PG Statistics workshops at York http://www.quantitativemethods.ac.uk/ http://aqmen.ac.uk/ http://www.ncrm.ac.uk/training/

Quantitative Data Analysis Face to face training Gardeners Own All you need to know as a beginner http://www.statmethods.net/index.html University of Western Sydney Data Analysis and Visualisation in R Advanced topics in R Harvard University Data Science Services Regression Models in R Technical University of Denmark Analysis of correlated data in R

What should your statistical practice entail? Descriptive Statistical Analysis Explore nominal and/or ordinal variables using Bar/Pie charts Explore your data to obtain descriptive statistics of your variables Explore the distribution of your continuous/interval scale variables Using charts Statistical tests

What should your statistical practice entail? Inferential Statistical Analysis Look for association between nominal variables and/or ordinal variables Look for differences in mean averages for groups (Between subjects) in with respect to some continuous variables Look for differences between the mean average for repeated measurements of continuous variables (Within subjects)

What should your statistical practice entail? Model development Look for bivariate relationships between continuous/scale variables Pearson correlation Spearman correlation Develop models that fit your data Simple regression analysis Multiple regression

Excel Files to Copy Filenames gpapoints.csv exam.csv

Practical – Demonstration Goal To develop a model for predicting the MBA GPA Scores Import or load the CSV file gpapoints.csv Obtain Descriptive Statistics of the variables Differences Is there a difference between males and females mbagpa? Is there a difference between males and females gmatscore? Is there a difference between males and females degreegpa? Look for bivariate relationships between continuous/scale variables Develop linear regression models for prediction of mbagpa. Which independent variables significantly predict mbagpa?

Practical – Exercise or Homework Goal To develop a model for predicting the EXAM MARKS of a person Import or load the CSV file exam.csv Obtain Descriptive Statistics of the variables. Differences Is there a difference between males and females A-level scores? Is there a difference between males and females exam results? Is there a difference between males and females anxiety score? Is there difference between males and females number of hours of revision? Look for bivariate relationships between continuous/scale variables Develop regression models that may be used to predict exam marks Which independent variables significantly predict exam marks?

Take Home Message Practice and practice with authentic research data. Seek advice from your supervisor. Consult the Maths Skills Centre at the earliest opportunity. Attend our PG Statistics Workshops.

Thank You for Listening Keep in touch Francis Duah Maths Skills Centre, Academic Support Office francis.duah@york.ac.uk