Hypothesis Testing, Validity, and Threats to Validity - PowerPoint PPT Presentation

About This Presentation
Title:

Hypothesis Testing, Validity, and Threats to Validity

Description:

Hypothesis Testing, Validity, and Threats to Validity Graziano and Raulin Research Methods: Chapter 8 Testing Hypotheses Scientific research tests specific hypotheses ... – PowerPoint PPT presentation

Number of Views:407
Avg rating:3.0/5.0
Slides: 19
Provided by: MikeR71
Category:

less

Transcript and Presenter's Notes

Title: Hypothesis Testing, Validity, and Threats to Validity


1
Hypothesis Testing, Validity,and Threats to
Validity
  • Graziano and Raulin
  • Research Methods Chapter 8

2
Testing Hypotheses
  • Scientific research tests specific hypotheses
  • Generated from the initial research idea through
    a series of steps (Figure 8.1)
  • A given research idea can easily generate dozens
    of research hypotheses
  • Depending on how it is translated into a
    statement of the problem and how the variables in
    the statement of the problem are operationally
    defined

3
The Initial Idea
  • The initial idea is the starting point
  • Often vague or general, it requires refining
    before research hypotheses can be generated
  • Refinement of the initial idea is based on
  • (1) a search of relevant research literature
  • (2) initial observations of the phenomenon
  • Want to narrow and formalize the initial idea
    into a statement of the problem

4
Statement of the Problem
  • In the form of a question that clearly indicates
    an expected relationship
  • The nature of the question will dictate the
    required level of constraint of a study
  • Causal questions will require experimental
    research
  • Questions about relationships can be answered
    with lower constraint research
  • Convert into research hypotheses by operationally
    defining the variables

5
Generating Research Hypotheses
  • Ideas lead to
  • observations
  • library research
  • Statement of problem
  • Problem statements become research hypotheses
    when constructs are operationalized

6
Operational Definitions
  • Initially covered in Chapter 3
  • The procedures used to measure and/or manipulate
    a variable
  • Most variables can be operationally defined in
    many different ways, thus creating many different
    research hypotheses from a single statement of
    the problem

7
Research Hypotheses
  • States clearly the expected relationship between
    the variables
  • The form is a declarative statement, but it is a
    tentative statement to be tested in research
  • Implicitly or explicitly, the variables in the
    research hypothesis are stated in operational
    definition terms

8
The Role of Theory
  • In all research planning, theory guides the
    process
  • Theory is often the primary source of the
    research hypothesis
  • Theory guides the selection of variables as well
    as their operational definitions
  • Most research is based on multiple, overlapping
    and interacting theories

9
Testing Research Hypotheses
  • Actually testing three hypotheses
  • The null hypothesis
  • The confounding variable hypothesis
  • The causal hypothesis
  • Accept causal hypothesis only if you
  • reject null hypothesis (statistical analysis)
  • rule out each potential confounding variable
    hypothesis (based on appropriate controls)

10
Types of Validity
  • Statistical Validity
  • Are the statistical tests accurate?
  • Construct Validity
  • Is our theory the best explanation for the
    results?
  • External Validity
  • Do the results apply to the broader population?
  • Internal Validity
  • Is the independent variable responsible for the
    observed changes in the dependent variable?

11
Avoiding Confounding
  • Confounding and internal validity
  • Many sources for confounding (covered next)
  • With proper controls (see Chapter 9), confounding
    can be virtually eliminated
  • Confounding and construct validity
  • Make sure that you have considered alternative
    theoretical explanations for the anticipated
    phenomenon

12
Confounding Variables (1/3)
  • Maturation
  • Changes due to normal growth or predictable
    changes
  • History
  • Changes due to an event that occurs during the
    study, which might have affects the results
  • Testing
  • Changes due to the effects of previous testing

13
Confounding Variables (2/3)
  • Instrumentation
  • Any change in the calibration of the measuring
    instrument over the course of the study
  • Regression to the Mean
  • Tendency for participants selected because of
    extreme scores to be less extreme on a retest
  • Selection
  • Any factor that creates groups that are not equal
    at the start of the study

14
Confounding Variables (3/3)
  • Attrition
  • Loss of participants during a study are the
    participants who drop out different from those
    who continue?
  • Diffusion of treatment
  • Changes in participants behavior in one
    condition because of information they obtained
    about the procedures in other conditions
  • Sequence Effects
  • Effects on performance in one condition due to
    experience with previous conditions

15
Subject Effects
  • Participants are not passive
  • They try to understand the study to help them to
    know what they should do
  • This behavior termed subject effects
  • Participants respond to subtle cues about what is
    expected (termed demand characteristics)
  • Placebo effect treatment effect that is due to
    expectations that the treatment will work

16
Experimenter Effects
  • Any preconceived idea of the researcher about how
    the experiment should turn out
  • Affect the outcome of studies if not properly
    controlled
  • May be due to the experimenter providing demand
    characteristics to the participant
  • Not the same as scientific fraud (which is
    deliberate)

17
Validity, Control, Constraint
  • Three closely-tied concepts
  • Validity
  • Refers to the scientific accuracy of the study or
    procedure
  • It is increased by using appropriate control
    procedures
  • The more controls we employ in a study, the
    higher the level of constraint

18
Summary
  • Start by building a research hypothesis
  • Testing the research hypothesis is actually
    testing three hypotheses
  • (1) null (2) confounding-variable (3) causal
  • Several types of validity
  • Many potential confounding variables
  • Subject and experimenter effects can also affect
    the outcome of the study
Write a Comment
User Comments (0)
About PowerShow.com