Objective Setting/Hypothesis Formulation/Identification of Variables/Bias and Confounders (trans 3) Flashcards
PLANNING THE RESEARCH PROCESSES
1) Research Problem Identification
2) Conversion of Research Problems to Research Objectives
3) Hypothesis Formulation
4) Methods
5) Administrative Plans
6) Implementation
PLANNING THE RESEARCH PROCESSES - Research Problem Identification
source of research objectives and hypotheses
statement should be in QUESTION FORM
Stating the problem starts with knowing how to ask a question then including the important events that you would like to know more or know about, considering all the criteria in identifying the problem (INREF/FINER)
Main problem and sub-problems have to be created
Sub-problems: the various facets of the problem
a) Literature Review
b) Significance
PLANNING THE RESEARCH PROCESSES - Research Problem Identification
**Literature Review - without this, you will not know what research question to develop
o What is the purpose of doing the research?
o Novel ideas: something that could contribute to an increase in amount of knowledge or something that would help you in the practice of medicine. “New knowledge”.
o “There is no use in re-inventing the wheel.” If a topic has been studied, there is no use in replicating it – waste of time and resources.
PLANNING THE RESEARCH PROCESSES - Research Problem Identification
**Significance – other than interesting and novel, it should also have significance to the country or the practice of medicine
o Topics should be related to the practice of medicine, the medical field, and the medical education.
o Time constraint and money (feasibility) should be considered
o Is this a moral issue? Be sure that the topic is ethical.
PLANNING THE RESEARCH PROCESSES - Conversion of Research Problems to Research Objectives
Be able to define your variables. Identify what variables are to be estimated or measures in the research. These variables should be expressed in measurable terms.
The measurable way of expressing your variables is through indicators.
Descriptive statistics and inferential statistics tells about the research outcome. Descriptive statistics (“describe”) are used to DESCRIBE DATA. Inferential statistics (“infer) are used to DRAW CONLUSION based on data.
General objective - general or main problem
Sub-problems - specific objectives; questions in declarative form
PLANNING THE RESEARCH PROCESSES - Hypothesis Formulation
statement that needs to be tested
T-test, multiple regression, etc. are some statistical hypothesis tests
When you’re doing a descriptive study, there’s no need to test your hypothesis. However, we need to create a hypothesis for purposes of estimating the sample size
The figures stated in the hypothesis allow you to generate the materials or numbers needed in the computation of the sample size
o SSE (Sample Size Estimation) will provide the number of evaluable subjects required for achieving desired statistical significance for a given hypothesis (PubMED, 2010). Statistical significance is when a result or a relationship between variables is caused by something and not just due to mere random chance.
PLANNING THE RESEARCH PROCESSES - Administrative Plans
Line of activities, budget, approval of budget, sourcing of materials, management of other resources (human resources)
Gantt chart – horizontal bar chart containing tasks, and schedule of activities
Budget, resources, funding
VARIABLES
should be expressed in measurable terms – such as various indices studied in Epidemiology (e.g. prevalence, morbidity)
are characteristics or events that vary (e.g., age, gender, onset of drug action)
are factors, or outcomes of interest in a research or investigation
EXAMPLE: Cross-sectional Study of Diseases of the Heart in Barangay San Perfecto, SJ, in 2014
o based on the question, the study is Descriptive because the title is telling us that we are going to merely study the heart diseases found in the barangay at one point in time (Cross-sectional). (Analytical study, is about the relationship between EXPOSURE and OUTCOME.)
o Questions to be formulated for this study include:
What are the diseases of the heart in Brgy. San Perfecto? => answers PERSON
How frequently does one specific heart disease occur in Brgy. San Perfecto? => answers TIME
o If the study seeks to associate risk factors (exposure/cause) and the occurrence of heart diseases (outcome or effect), it would now be an analytical study.
o Descriptive Statistics that can be obtained for this study: Prevalence Rate, Age- and Gender-Specific Prevalence Rate, Mortality Rate, Proportionate Mortality Rate (PMR) in relation to the various diseases of the heart: CAD, RHD, CHD, etc.
REMEMBER
- Descriptive studies characterize who (PERSON), where (PLACE), or when (TIME) in relation to what (outcome)
- Analytical studies tests hypothesis about the relationship between EXPOSURE (cause) and OUTCOME (effect)
VARIABLES - INDEPENDENT VARIABLE (IV)
Precursor/exposure/cause
“Independent” – can stand alone, it is not changed by other variables
EXAMPLE:
Cigarette smoking
VARIABLES - DEPENDENT VARIABLE (DV)
outcome/effect
“Dependent” – responds to the independent variable; it is what is being measured in the research
EXAMPLE:
COPD (chronic obstructive lung disease)
VARIABLES - CONFOUNDER/CONFOUNDING VARIABLE
associated with IV and DV; we must equalize its occurrence to be able to crystallize the effect of IV to DV
EXAMPLE:
Pollution (exposure to pollution may also cause COPD)
VARIABLES - UNIVERSAL VARIABLE
usually demographic variables that are neither the independent nor the dependent variable but are essential to the description of the subjects
EXAMPLE:
Age
Note: Age can also be an independent variable. Classifying variables as to IV, DV, etc, differ across studies depending on the study objectives. Hence, an independent variable may be such in one study but it can also be a dependent variable in another. Age, however, can never be a dependent variable because it is something that we cannot change.
REMEMBER
If the problem deals with the DESCRIPTION of an event or characteristic, use a variable that describes the event or characteristic of interest. (Descriptive Study)
If the problem deals with ASSOCIATION/RELATIONSHIP between factor and an outcome, the independent and dependent, possible confounding variables should be expressed. The dependent variables are indices that reflect association between the variables. (Analytical Study)
VARIABLES - CONFOUNDERS
Variables other than the independent and dependent variable that obscure the true relationship between the main study variables
Co-vary in the study groups
Associated with both the independent and dependent variables but are not considered part of the pathways of the outcome or disease
Four Characteristics of a Confounder
a) Associated with both independent and dependent variable
b) Co-varies in the study groups
c) Not part of the pathway of the outcome variable
d) Not the independent nor dependent variable