Bivariate Association: Introduction & Basic Concepts

Slides:



Advertisements
Similar presentations
Relationships Between Two Variables: Cross-Tabulation
Advertisements

Chapter 13: The Chi-Square Test
CJ 526 Statistical Analysis in Criminal Justice
14-1 Physics I Class 14 Introduction to Rotational Motion.
PPA 415 – Research Methods in Public Administration Lecture 9 – Bivariate Association.
PPA 501 – Analytical Methods in Administration Lecture 9 – Bivariate Association.
Correlation Analysis 5th - 9th December 2011, Rome.
Correlation and Regression 1. Bivariate data When measurements on two characteristics are to be studied simultaneously because of their interdependence,
Descriptive Research. D Used to obtain information concerning the current status of a phenomena. D Purpose of these methods is to describe “what exists”
McGraw-Hill © 2006 The McGraw-Hill Companies, Inc. All rights reserved. Correlational Research Chapter Fifteen.
Chapter 12 (Ch. 11 in 2/3 Can. Ed.) Bivariate Association for Tabular Data: Basic Concepts.
Week 11 Chapter 12 – Association between variables measured at the nominal level.
Is there a relationship between the lengths of body parts ?
A P STATISTICS LESSON 3 – 2 CORRELATION.
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved Section 10-1 Review and Preview.
Understanding Statistics
Elementary Data Analysis Frequencies and Crosstabulations © Pine Forge Press, an imprint of Sage Publications, 2004.
Rationale / value of using statistics statistics is a powerful tool to objectively compare experimental data uncover relationships among variables experience.
Chapter 16 The Elaboration Model Key Terms. Descriptive statistics Statistical computations describing either the characteristics of a sample or the relationship.
Chapter 10: Relationships Between Two Variables: CrossTabulation
Using Recursion in Models and Decision Making MAMDM4a-b
Introduction to Correlation Analysis. Objectives Correlation Types of Correlation Karl Pearson’s coefficient of correlation Correlation in case of bivariate.
The Tools of Economics. Factual Tools Statistics History How institutions operate Statistics –data and figures economists use in measurements prices,
Multivariate Data Analysis Chapter 2 – Examining Your Data
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 22.
Statistics in Applied Science and Technology Supplemental: Elaborating Crosstabs: Adding a Third Variable.
Chapter 10: Cross-Tabulation Relationships Between Variables  Independent and Dependent Variables  Constructing a Bivariate Table  Computing Percentages.
Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.
What Do You See?. A scatterplot is a graphic tool used to display the relationship between two quantitative variables. How to Read a Scatterplot A scatterplot.
Copyright © 2014 by Nelson Education Limited Chapter 11 Introduction to Bivariate Association and Measures of Association for Variables Measured.
Statistics Module Statistics Statistics are a powerful tool for finding patterns in data and inferring important connections between events in.
Copyright © 2010 by Nelson Education Limited. Elaborating Bivariate Tables.
Chapter 14 – 1 Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Chapter 6 – 1 Relationships Between Two Variables: Cross-Tabulation Independent and Dependent Variables Constructing a Bivariate Table Computing Percentages.
The Science of Physics Mathematics. What We Want to Know… How do tables and graphs help understand data? How can we use graphs to understand the relationship.
 The goal is scientific objectivity, the focus is on data that can be measured numerically.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 1 Introduction to Research in Communication Research: –Process of asking questions.
English 7 WHAT’S NONFICTION? INFORMATIVE writing dealing with facts and events rather than imaginative narration.
Copyright © 2008 by Nelson, a division of Thomson Canada Limited Chapter 18 Part 5 Analysis and Interpretation of Data DIFFERENCES BETWEEN GROUPS AND RELATIONSHIPS.
Data Mining Introduction to data mining concepts.
Bivariate Association. Introduction This chapter is about measures of association This chapter is about measures of association These are designed to.
POLS 7000X STATISTICS IN POLITICAL SCIENCE CLASS 9 BROOKLYN COLLEGE-CUNY SHANG E. HA Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for.
SPSS Statistical Package for Social Sciences Bivariate Correlations Department of Psychology California State University Northridge
COM 295 STUDY Inspiring Minds/com295study.com
Final Project Reminder
Final Project Reminder
PSY 325 aid Something Great/psy325aid.com
Introduction to Regression Analysis
psy 325 aid Expect Success/psy325aiddotcom
CONTROL CHARTS 1. These charts are used for process control. Statistical device used for control of repetitive process. 2. Developed by Dr. W.A. Shewart.
CHAPTER fourteen Correlation and Regression Analysis
Chapter 13 (1e), (Ch. 11 2/3e) Association Between Variables Measured at the Nominal Level: Phi, Cramer’s V, and Lambda.
Quality Systems Management
Quality Systems Management
Quality Systems Management
Quality Systems Management
Quality Systems Management
Quality Systems Management
Variables and Data.
The Nature of Probability and Statistics
WARM – UP Mean = Range = Median = Standard Dev. = IQR =
Correlation Coefficient
Physics I Class 13 Introduction to Rotational Motion.
Bivariate Association: Introduction and Basic Concepts
Investigating associations between categorical variables
Chapter 7 The Basics of Research Design
Examining Relationships
Correlation & Trend Lines
Physics I Class 14 Introduction to Rotational Motion.
Presentation transcript:

Bivariate Association: Introduction & Basic Concepts Statistical Significance and Theoretical Importance Association Between Variables and the Bivariate Table Three Characteristics of Bivariate Associations

Measures of Association Provide information about the strength and direction of relationships. Can help us trace causal relationships among variables. Most important statistical tool for documenting, measuring and analyzing causal relationships.

Three Characteristics of Bivariate Associations Does an association exist? If an association does exit, how strong is it? What is the pattern and/or direction of the association?

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2024 SlidePlayer.com. Inc. All rights reserved.