Presentation is loading. Please wait.

Presentation is loading. Please wait.

Analysis of Covariance The function of Experimental design is to explain the effect of a IV or DV while controlling for the confounding effect of extraneous.

Published by Modified over 9 years ago

Similar presentations

Presentation on theme: "Analysis of Covariance The function of Experimental design is to explain the effect of a IV or DV while controlling for the confounding effect of extraneous."— Presentation transcript:

1 Analysis of Covariance The function of Experimental design is to explain the effect of a IV or DV while controlling for the confounding effect of extraneous variables.

2 Analysis of Covariance When extraneous variable are not controlled the results of the measurement can not be attributed to solely the experiment treatment.

3 Analysis of Covariance ANOCOVA - combination of ANOVA and linear regression present a covariant as another variable that the groups may differ on.

4 Analysis of Covariance 1. Effect of two different teachings situations on clinical performances in clinical 2. Previous GPA may be a factor if not controlled 3. Control for GPA to find true effects of teaching strategies.

5 Analysis of Covariance

6

7

8

Download ppt "Analysis of Covariance The function of Experimental design is to explain the effect of a IV or DV while controlling for the confounding effect of extraneous."

Similar presentations

Experimental Design True Experimental Designs n Random assignment n Two comparison groups n Controls threats to internal validity n Strongest evidence.

Experimental Design True Experimental Designs n Random assignment n Two comparison groups n Controls threats to internal validity n Strongest evidence.
ANCOVA Workings of ANOVA & ANCOVA ANCOVA, Semi-Partial correlations, statistical control Using model plotting to think about ANCOVA & Statistical control.

ANCOVA Workings of ANOVA & ANCOVA ANCOVA, Semi-Partial correlations, statistical control Using model plotting to think about ANCOVA & Statistical control.
Control Any means used to rule out threats to validity Example –Hypothesis: Rats learned to press a bar when a light was turned on. –Data for 10 rats bar.

Control Any means used to rule out threats to validity Example –Hypothesis: Rats learned to press a bar when a light was turned on. –Data for 10 rats bar.
Research Variables.

Research Variables.
Experimental Research Independent variable Dependent variable Causation.

Experimental Research Independent variable Dependent variable Causation.
Reliability and Validity in Experimental Research ♣

Reliability and Validity in Experimental Research ♣
Lecture 13 Psyc 300A. Review Confounding, extraneous variables Operational definitions Random sampling vs random assignment Internal validity Null hypothesis.

Lecture 13 Psyc 300A. Review Confounding, extraneous variables Operational definitions Random sampling vs random assignment Internal validity Null hypothesis.
ANCOVA Workings of ANOVA & ANCOVA ANCOVA, Semi-Partial correlations, statistical control Using model plotting to think about ANCOVA & Statistical control.

ANCOVA Workings of ANOVA & ANCOVA ANCOVA, Semi-Partial correlations, statistical control Using model plotting to think about ANCOVA & Statistical control.
Statistics 200b. Chapter 5. Chapter 4: inference via likelihood now Chapter 5: applications to particular situations.

Statistics 200b. Chapter 5. Chapter 4: inference via likelihood now Chapter 5: applications to particular situations.
Analysis of Covariance Goals: 1)Reduce error variance. 2)Remove sources of bias from experiment. 3)Obtain adjusted estimates of population means.

Analysis of Covariance Goals: 1)Reduce error variance. 2)Remove sources of bias from experiment. 3)Obtain adjusted estimates of population means.
Statistics for the Social Sciences

Statistics for the Social Sciences
Lecture 14 Psyc 300A. Review Operational definitions Internal validity Threats to internal validity Type I and type II errors.

Lecture 14 Psyc 300A. Review Operational definitions Internal validity Threats to internal validity Type I and type II errors.
Sampling and Experimental Control Goals of clinical research is to make generalizations beyond the individual studied to others with similar conditions.

Sampling and Experimental Control Goals of clinical research is to make generalizations beyond the individual studied to others with similar conditions.
Analyzing quantitative data – section III Week 10 Lecture 1.

Analyzing quantitative data – section III Week 10 Lecture 1.
Psychlotron.org.uk Today’s session You will learn aboutContext The difference between extraneous and confounding variables Detecting and correcting flaws.

Psychlotron.org.uk Today’s session You will learn aboutContext The difference between extraneous and confounding variables Detecting and correcting flaws.
Analysis of Covariance Goals: 1)Reduce error variance. 2)Remove sources of bias from experiment. 3)Obtain adjusted estimates of population means.

Analysis of Covariance Goals: 1)Reduce error variance. 2)Remove sources of bias from experiment. 3)Obtain adjusted estimates of population means.
THREE PILLARS OF EXPERIMENTAL RESEARCH

THREE PILLARS OF EXPERIMENTAL RESEARCH
 It is a type of research where the researcher manipulates one variable while controlling the rest of the variables.  It is usually conducted to explain.

 It is a type of research where the researcher manipulates one variable while controlling the rest of the variables.  It is usually conducted to explain.
CHAPTER 5 Introduction to Experimental Research

CHAPTER 5 Introduction to Experimental Research
Correlational Research Strategy. Recall 5 basic Research Strategies Experimental Nonexperimental Quasi-experimental Correlational Descriptive.

Correlational Research Strategy. Recall 5 basic Research Strategies Experimental Nonexperimental Quasi-experimental Correlational Descriptive.

Similar presentations

Ads by Google