2. Lesson Objectives
At the end of the lesson, the participants will be
able to:
1.Enlist the characteristics of Descriptive study
2.Enlist indications of Descriptive study
3.Describe the steps in cross sectional study
4.Describe common issues related to cross sectional
study
4. DescriptiveStudy: Characteristics
Observational type of quantitative study
RQ descriptive type
No hypothesis
No comparison group
Sub-groups in observed group may be
compared
Can be conducted in hospital /
community
6. DESCRIPIVE STUDY: Indications
RQ is descriptive
Describing disease/ health
related phenomena
Quantification of disease/
health related problem
Generation of hypothesis
Types
1. Case report/ series
2. Cross sectional
3. Longitudinal
Cross sectional study
Measurement of variable
in RQ only once
Like one snap shot
Longitudinal study
Measurement of variable
in RQ more than once
Series of Cross sectional
studies for one RQ
Series of snap shots
7. CROSSSECTIONAL STUDY: Steps
1. Set RQ, Enlist variables
2. Decide tools / methods of measurement of each
variable
3. Define population
4. Estimating sample size and deciding sampling method
5. Collection of data
6. Editing data
7. Analyze data
8. Hypothesis formulation
9. Write report
Two examples
1.What is the prevalence of
hypertension in residents
of LONI aged 40+ ?
2.What is the profile of
anemia in ANCs attending
RMC Loni?
8. DESCRIPIVE STUDY: Steps
1. Set RQ & Define
variables
Must be descriptive
type
Enlist variables in RQ
and other variables like
age, gender,
occupation etc
2. Decide tools of
measuring each
variable
Example:
Hypertension:
Examination
Age: By interview
Gender: By interview
9. DESCRIPIVE STUDY: Steps
Variable Method of
measurement
Statistical
scale
Hypertensio
n
Examination Ratio
Age Interview Ratio
Gender Interview Nominal
SE status Interview Ordinal
2. Decide
tools of
measuring
each
variable
10. DESCRIPIVE STUDY: Steps
3. Define population
Inclusion criteria
Exclusion criteria
Enlisting eligible
population/
participants
Inclusion: Resident of Loni
for past 6 months or
more
Exclusion:
Probable
participants
Inclusion
criteria
Exclusion
criteria
11. DESCRIPIVE STUDY: Steps
4. Sample size
determination &
Sampling method
Consult statistician /
epidemiologist
Sample size
- Alpha error
- Precision
- Frequency of variable
in RQ
Sampling method
Depends on type of
population
Eligible
population
Sample
12. DESCRIPIVE STUDY: Steps
5. Collection of data
Use pre-decided
tools / methods
Administrative/
operational planning
Durable recording
Use of computers
6. Editing data
Check for
- Completeness
-“illegal entries”
-Check for out-liers
-“Improbable
entries”
Use of soft ware
13. DESCRIPIVE STUDY: Steps
7. Analysis of data
Grouping and tables
Descriptive
statistics: Mean,
Range, SD,
Proportions
Graphs
8. Hypothesis
formulation
Techniques
Method of similarity &
difference
Method of concomitant
variation
Method of analogy
Use of statistical tests
14. DESCRIPIVE STUDY: Steps
9. Report writing
For whom? :
Journal,
Sponsorer, HOI
Format
Issues in descriptive studies
Validity: External; Internal
Bias
Sample size
Longitudinal study
Series of cross sectional
studies for same RQ in same
population
For Incidence / Time related
question
15. CROSSSECTIONAL STUDY:
Summary
1. The characteristics of Descriptive study
2. Indications of Descriptive study
3. Steps in cross sectional study
4. Common issues related to cross sectional study
17. Dr.A.P. Kulkarni
Professor & Head
Department of Community Medicine
Rural Medical College, LONI
LONGITUDINAL STUDY
18. Longitudinal Study: Characteristics
Observational type of quantitative study
RQ descriptive type
No hypothesis
No comparison group
Sub-groups in observed group may be compared
Can be conducted in hospital / community
When time characteristics are to be studied
19. Longitudinal Study: Characteristics
Objectives
1.To describe disease / health related event (Person, place,
time): thereby generate hypothesis
2.To estimate prevalence/ incidence
3.To estimate mean
Longitudinal study is nothing but Cross
sectional study repeated over period of time