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variables-chpt3.ppt
1.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Variables and Hypotheses Chapter Three
2.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Variables and Hypotheses Chapter Three
3.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. What is a Variable? A variable is a variation within a class of objects (i.e., eye color). A constant is a characteristic with no variations within a class of objects (i.e., grade level of ninth graders). Researchers choose certain variables to study since they are suspected to be related to a possible relationship to be discovered.
4.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Quantitative vs. Categorical Variables Variables are classified as either quantitative or categorical A quantitative variable is conceptualized and analyzed in distinct categories, with no continuum implied (i.e., height). Can be subdivided into smaller units A categorical variable does not vary in degree, amount, or quantity, but are qualitatively different (i.e., political party). There is no middle ground or in-between measurement
5.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Quantitative vs. Categorical Variables (Figure 3.1)
6.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Independent vs. Dependent Variables The independent variable is what the researcher studies to see its relationship or effects. Presumed or possible cause The dependent variable is what is being influenced or affected by the independent variable Presumed results Independent variables may be either manipulated or selected A manipulated variable is a changed condition the researcher creates during a study, also known as an experimental or treatment variable A selected variable is an independent variable that already exists
7.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. The Relationship between Independent and Dependent Variables
8.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Other Types of Variables Outcome Variable A dependent variable that is quantitative Most studies demonstrating this would have a categorical independent variable The investigator is interested in the effects that might lead to differences in methods = outcomes Moderator Variable Special type of independent variable Selected to determine if it affects (modifies) the basic relationship between the primary independent variable and the dependent variable (Figure 3.2)
9.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Other Types of Variables (cont.) Extraneous Variable Independent variables that have not been controlled Considered a basic problem in research The task is to control these variables by reducing or eliminating their effects A method to control extraneous variables is to hold them constant Figure 3.3 illustrates the importance of identifying extraneous variables
10.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Examples of Extraneous Variables (Figure 3.3)
11.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. What is a Hypothesis? A hypothesis is a prediction regarding the possible outcome of a study Advantages of stating hypotheses include: Forces us to think more deeply and specifically about the possible outcomes of the study Enables us to make specific predictions based on prior evidence or theoretical argument Helps to clarify whether we are or aren’t investigating a relationship Disadvantages of stating hypotheses include: May lead to a bias on the part of the researcher In some studies, it would be presumptuous to predict what findings would be Focusing on the hypothesis could prevent the researcher from seeing other phenomena that might be important to the study
12.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Hypotheses from a Single Research Question (Figure 3.4)
13.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Directional vs. Non-directional Hypotheses A directional hypothesis is one in which the researcher indicates the specific direction that he or she expects will emerge in a relationship in the study. The direction is based on what the researcher has found from: Literature Personal experiences Experience from others A non-directional hypothesis is when there is no specific prediction about what direction the outcome of a study will take. Sometimes it is difficult to make specific predictions upon a study A study may state that it would point to non-specific directions vs. distinct possibilities
14.
McGraw-Hill © 2006
The McGraw-Hill Companies, Inc. All rights reserved. Directional vs. Non-Directional Hypotheses (Figure 3.5)
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