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Hypothesis Testing

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Explicit statement about the empirical relationship between two or ... Curvilinear. Qualitative Independent Variables. Qualitative independent variables. Gender ... – PowerPoint PPT presentation

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Title: Hypothesis Testing


1
Hypothesis Testing Validity
  • October 4, 2004
  • Sociology 487
  • http//sociology.osu.edu/classes/soc487/sayer/

2
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  • Visit http//www.osuvotes.com/blog.php for more
    information on registration and issues
  • Ask Jill for voter registration card

3
Lecture Topics
  • What are research hypotheses?
  • How do we test hypotheses?
  • Dependent and independent variables
  • Assessing validity

4
Relationship between Theory Research
5
What is a Hypothesis?
  • Explicit statement about the empirical
    relationship between two or more variables
  • An Hypothesis is a predictive statement
  • Test to see whether prediction is right or wrong

6
The Process
HYPOTHESIS Y F(X) y f(x) ? y f(x)
Theoretical expectation
Operationalization
Testable Hypothesis
Hypothesis Testing (Observation)
7
Variables Relationships
  • Operationalization connects abstract concepts
    with concrete observations
  • Variables are actual measures of concepts
  • Two types of variables
  • Dependent
  • Independent

8
Variables and Attributes
  • Variables are logical groupings of attributes
  • Attributes are characteristics of persons or
    things
  • Example
  • Variable gender
  • Attributes female and male

9
Relationship of Types of Variables
  • Independent variables lead to variation in
    dependent variables
  • Y F(X)
  • Theory guides determination of dependent and
    independent variables

10
Stating Hypotheses
  • Specify relationship between dependent variable
    and independent variable
  • If this then that
  • State the direction of association
  • Positive
  • Negative (inverse)
  • Curvilinear

11
Qualitative Independent Variables
  • Qualitative independent variables
  • Gender
  • Race / ethnicity
  • Political party identification
  • Sexual orientation
  • Direction of association with dependent variables
    stated differently for qualitative and
    quantitative variables

12
Research vs. Null Hypothesis
  • Research hypothesis is actual prediction we want
    to test
  • Y F(X)
  • Null hypothesis
  • X does not lead to variation in Y
  • Use probability to reject or fail to reject null
    hypothesis

13
Are our results an accurate reflection of reality?
Generalizability
Measurement Validity
Validity
Causal Validity
14
Causal Validity
  • Truth of hypothesis that X causes Y
  • Establishing causal validity is difficult
  • Association between two variables is not
    sufficient for establishing a causal relationship
  • correlation is not causation

15
Key Points
  • Hypotheses are explicit statements about the
    relationship between variables
  • Testing hypotheses involves examining whether
    independent variable causes variation in
    dependent variable
  • Correlation does not prove causation
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