Studying Behavior. Variables Any event, situation, behavior or individual characteristic that varies In our context, the “things” that make up an experiment.

Slides:



Advertisements
Similar presentations
Section 6.1: Scatterplots and Correlation (Day 1).
Advertisements

A recent newspaper article reported that the number of personal computers being sold is increasing. In addition, the number of athletic shoes being sold.
Bivariate Analyses.
FUNDAMENTAL RESEARCH ISSUES © 2012 The McGraw-Hill Companies, Inc.
Introduction to Statistics and Research
Section 7.1 ~ Seeking Correlation
CHAPTER 4: Scatterplots and Correlation. Chapter 4 Concepts 2  Explanatory and Response Variables  Displaying Relationships: Scatterplots  Interpreting.
CHAPTER 4: Scatterplots and Correlation
Concept of Measurement
MEASUREMENT the process of determining the value or level of a particular CONSTRUCT for every unit of analysis or subject involves OPERATIONALIZATION –translating.
Behavioral Research Chapter Four Studying Behavior.
Calculating and Interpreting the Correlation Coefficient ~adapted from walch education.
Scatterplots and Correlation BPS chapter 4 © 2006 W.H. Freeman and Company.
Defining and Measuring Variables Slides Prepared by Alison L. O’Malley Passer Chapter 4.
Experimental Research
Variation, Validity, & Variables Lesson 3. Research Methods & Statistics n Integral relationship l Must consider both during planning n Research Methods.
A P STATISTICS LESSON 3 – 2 CORRELATION.
Quantitative Data Essential Statistics. Quantitative Data O Review O Quantitative data is any data that produces a measurement or amount of something.
Variable  An item of data  Examples: –gender –test scores –weight  Value varies from one observation to another.
Aug. 21, 2012 Chapter 1 Sections 1 & 2. What is statistics? Conducting studies to collect, organize, summarize, analyze and draw conclusions from data.
PSY 307 – Statistics for the Behavioral Sciences Chapter 1.
Control: The part of the experiment that scientists keep the same during the experiment ex: temperature, location, light. Control Group: The group in the.
Example 1: page 161 #5 Example 2: page 160 #1 Explanatory Variable - Response Variable - independent variable dependent variable.
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
Correlation Analysis. A measure of association between two or more numerical variables. For examples height & weight relationship price and demand relationship.
Research in psychology
Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.
Chapter 2. Surveys Survey Most widely used research method for sociologists Population Everyone with the characteristics a researcher wants to study.
STUDYING BEHAVIOR © 2009 The McGraw-Hill Companies, Inc.
Social Science Methods Fall 2010 Soyoung Jung Kevin Balster Melvin Hale.
1.2 An Introduction to Statistics Objectives: By the end of this section, I will be able to… 1) State the meaning of descriptive statistics.
EXPERIMENT VS. CORRELATIONAL STUDY. EXPERIMENT Researcher controls all conditions Experimental group – 1 or more groups of subjects Control group – controlled.
8/24/04History, Perspectives Research Methods How should we find out about human thought and behavior? (Epistemological question) Guess? (intuition, gut.
1.) *Experiment* 2.) Quasi-Experiment 3.) Correlation 4.) Naturalistic Observation 5.) Case Study 6.) Survey Research.
METHODS IN BEHAVIORAL RESEARCH NINTH EDITION PAUL C. COZBY Copyright © 2007 The McGraw-Hill Companies, Inc.
Describing Relationships: Scatterplots and Correlation.
April 1 st, Bellringer-April 1 st, 2015 Video Link Worksheet Link
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
STATISTICS: TYPES OF VARIABLES Claire 12B. Qualitative Variables  A qualitative variable is a categorical variable that represents different groups and.
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
Variables It is very important in research to see variables, define them, and control or measure them.
BPS - 5th Ed. Chapter 41 Scatterplots and Correlation.
Chapter 2: Quantitative, Qualitative and Mixed Research
UNIT 4 Bivariate Data Scatter Plots and Regression.
Measurement Experiment - effect of IV on DV. Independent Variable (2 or more levels) MANIPULATED a) situational - features in the environment b) task.
Studying Behavior Variable Any event, situation, behavior, or individual characteristic that varies - that is, has at least two values.
Why do we analyze data?  It is important to analyze data because you need to determine the extent to which the hypothesized relationship does or does.
©2005, Pearson Education/Prentice Hall CHAPTER 6 Nonexperimental Strategies.
Why do we analyze data?  To determine the extent to which the hypothesized relationship does or does not exist.  You need to find both the central tendency.
7.1 Seeking Correlation LEARNING GOAL
Two Basic Approaches to Doing Research in Psychology Correlational Research Experimental Research Both approaches are based on the concept of a “variable”.
Unit 3 – Association: Contingency, Correlation, and Regression Lesson 3-2 Quantitative Associations.
Psychology 101: General  Chapter 1Part 2 Scientific Method Instructor: Mark Vachon.
Determining and Interpreting Associations between Variables Cross-Tabs Chi-Square Correlation.
Educational Research: Quantitative, Qualitative and Mixed Approaches Chapter 2.
Some Terminology experiment vs. correlational study IV vs. DV descriptive vs. inferential statistics sample vs. population statistic vs. parameter H 0.
Scientific Method.
Physiological Psychology
Two Quantitative Variables
Scatterplots and Correlation
Chapter 4: Studying Behavior
Interpret Scatterplots & Use them to Make Predictions
Research Methods: Concepts and Connections First Edition
Introduction to Statistics and Research
CHAPTERs 2 & 3 Research in Psychology: Getting Started & measurement
Chapter 4 Studying Behavior
The Least-Squares Line Introduction
INTRODUCTION TO RESEARCH
Scientific Method.
Objective: Interpret Scatterplots & Use them to Make Predictions.
Presentation transcript:

Studying Behavior

Variables Any event, situation, behavior or individual characteristic that varies In our context, the “things” that make up an experiment Must have at least two levels Ex. Age (many levels) Gender (2 levels) Reaction time (many levels)

Variables Quantitative Numeric Age, IQ, weight, speed of presentation of words Qualitative Cannot be quantified numerically Categorical Favorite flavor of ice cream, hair color, gender Quantitative variables vary in amount, qualitative variables vary in kind

VARIABLES Four General Categories Situational variables Temperature, lighting, background noise Response variables Response times, number of errors Participant or subject variables Gender, personality characteristics, age, weight Mediating variables Relationship between depression & cancer

MEDIATING VARIABLE

OPERATIONAL DEFINITIONS OF VARIABLES Variable is an abstract concept that must be translated into concrete forms of observation or manipulation Studied empirically Help communicate ideas to others

RELATIONSHIPS BETWEEN VARIABLES Positive Linear Relationship Increases in one variable relate to increases in another Negative Linear Relationship Increases in one variable relative to decreases in another Curvilinear Relationship Increases in one variable relative to both increases and decreases in another No Relationship Correlation coefficient Relationships and Reduction of Uncertainty

FOUR TYPES OF RELATIONSHIPS BETWEEN VARIABLES

Monotonic vs. Nonmonotonic MonotonicNonmonotonic

Correlation There is individual variability around each of the lines in the graphs Not everyone falls exactly on the line The strength of the relationship between two variables is calculated as a correlation coefficient