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Copyright 2007, The Johns Hopkins University and Lynda Burton. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed.
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How to Approach a Study: Concepts, Hypotheses, and Theoretical Frameworks
Lynda Burton, ScDJohns Hopkins University
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The Problem
A problem is observed−
For example, older adolescents have the highest rates of untreated sexually transmitted disease
−
They use medical care less than any other group
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Specifying the Problem
Why do some adolescents obtain inadequate medical care?What system factors prevent adolescents from getting medical care?Does a system of school health clinics improve rate of treatment?
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Developing a Conceptual Framework for the Problem
First, some definitionsConceptConstruct variablesConceptual frameworkTheory/ hypothesisModelVariables
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Concept
The building blocks of theoryAn idea about the problem−
Example—adolescents use less health care
−
This may contribute to their higher rate of sexually transmitted disease
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Developing a Conceptual Framework: Summary
The framework states the interrelationships among the variables in the modelThe framework informs the:−
Study design
−
Sample selection−
Data collection strategies
The framework determines final interpretation of results
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Adolescent behavior
Adolescent demographics
Social milieu
Personal Factors Outcome of Interest
System Factors
Access to care
Higher rate of occurrence of sexually transmitted diseases
Conceptual Framework
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Theory
A theory is a system of concepts that are interrelated in ways that are clearly describedA theory suggests the causal mechanisms that lead to specific outcomesA theory allows explanation and prediction of phenomena
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Hypothesis
A formal statement of your theory−
It should identify variables that are capable of observation
−
The relationship among the variables must be explained or predicted
−
The theory must be testable−
Alternative hypotheses should be explored
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Modeling Your Hypothesis
Gives a visual picture so that the hypothesized relationships among variables can be seenIdentifies all of the potential variables in your problemHas a dynamic aspect to it, showing direction of relationships
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Variables
These are the operational pieces that you believe are a part of the problem or that contribute to the conceptual frameworkIt is important to specify all variables that may contribute to the problemYou should be able to measure these variables or note the limits to your study
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More on Variables
Dependent (or outcome) variable−
Your major interest in the study—what happens?
Independent (or causal) variable−
The program, intervention, or factor that you believe leads to the outcome
Intervening (or modifying) variable−
Doesn’t “cause”
the outcome but may modify it
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Drawing a Model to Explore Relationships
Three Major ComponentsIndependent Intervening Dependent
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Add Variables Under Each Component
The Program:yes / no
Age
Gender
School Achievement
Has disease:yes/ no
Three Major ComponentsIndependent Intervening Dependent
Other Intervening factors
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Other Intervening Variables that May Modify Outcome
Intervening−
Sexual activity
−
Number of partners−
Awareness of STD
−
Social network (peer pressure)−
Access to clinic
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School Health Clinic
Does the student have easy and comfortable access to the school health clinic?Intervening Dependent−
Geographic
−
Privacy−
Hours of operation
−
Relationship with providers
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Operationalize the Variables
Define all variables in measurable terms−
Sociodemographics will be straight forward
−
Attitudinal variables will be difficult to measure−
Can’t have too many missing values
Choose accepted measurement instruments whenever availableSelect reliable and valid measures
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Access to Medical Care Model
Predisposing−
Age/cognitive development
−
Male gender−
Past experience with illness
−
Poor general health knowledge (about susceptibility, severity, treatments)
−
Family norms regarding medical help−
Peer values regarding getting help from doctor/nurse
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Enabling Variables
Access to program−
Geographic
CostKnowledge of program
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Need for Care Variables
Presence of disease−
Severity
−
Discomfort−
Awareness of disease
−
Complications of disease