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By: Sahadev Singh Tomar
Assistant Professor
IIMT Engineering College, Meerut
UNIT – 2
BRM
CROSS SECTIONAL STUDY
 Cross-sectional study is defined as an observational
study where data is collected as a whole to study a
population at a single point in time to examine the
relationship between variables of interest.
 The most important feature of a cross-sectional study is
that it can compare different samples at one given point
in time.
 For example, a researcher wants to understand the
relationship between joggers and level of cholesterol,
he/she might want to choose two age groups of daily
joggers, one group is below 30 but more than 20 and
the other, above 30 but below 40 and compare these to
cholesterol levels amongst non-joggers in the same age
categories.
 The researcher at this point in time can create subsets for
gender, but cannot consider past cholesterol levels as this
would be outside the given parameters for cross-sectional
studies.
 Cross-sectional studies allow the study of many variables at
a given time. Researchers can look at age, gender, income
etc in relation to jogging and cholesterol at a very little or no
additional cost involved.
 However, there is one downside to cross-sectional study,
this type of study is not able to provide a definitive relation
between cause and effect relation (a cause and effect
relationship is one where one action (cause) makes another
event happen (effect)
 This is majorly because cross-sectional study offers a
snapshot of a single moment in time, this study doesn’t
consider what happens before or after.
LONGITUDINAL STUDY
 Longitudinal study, like the cross-sectional study, is also
an observational study, in which data is gathered from
the same sample repeatedly over an extended period of
time. Longitudinal study can last from a few years to
even decades depending on what kind of information
needs to be obtained.
 The benefit of conducting longitudinal study is that
researchers can make notes of the changes, make
observations and detect any changes in the
characteristics of their participants. One of the important
aspects here is that longitudinal study extends beyond a
single frame in time. As a result, they can establish a
proper sequence of the events occurred.
 Continuing with the example, in longitudinal study a
researcher wishes to look at the changes in
cholesterol level in women above the age of 30 but
below 40 years who have jogged regularly over the
last 10 years. In longitudinal study setup, it would
be possible to account for cholesterol levels at the
start of the jogging regime, therefore longitudinal
studies are more likely to suggest a cause-and-
effect relationship.
 Cross-sectional studies can be done more quickly
as compared to longitudinal studies. That’s why a
researcher may start off with cross-sectional study
and if needed follow it up with longitudinal studies.
CROSS-SECTIONAL VS LONGITUDINAL STUDY
Cross sectional vs Longitudinal Study

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Cross sectional vs Longitudinal Study

  • 1. By: Sahadev Singh Tomar Assistant Professor IIMT Engineering College, Meerut UNIT – 2 BRM
  • 2. CROSS SECTIONAL STUDY  Cross-sectional study is defined as an observational study where data is collected as a whole to study a population at a single point in time to examine the relationship between variables of interest.  The most important feature of a cross-sectional study is that it can compare different samples at one given point in time.  For example, a researcher wants to understand the relationship between joggers and level of cholesterol, he/she might want to choose two age groups of daily joggers, one group is below 30 but more than 20 and the other, above 30 but below 40 and compare these to cholesterol levels amongst non-joggers in the same age categories.
  • 3.  The researcher at this point in time can create subsets for gender, but cannot consider past cholesterol levels as this would be outside the given parameters for cross-sectional studies.  Cross-sectional studies allow the study of many variables at a given time. Researchers can look at age, gender, income etc in relation to jogging and cholesterol at a very little or no additional cost involved.  However, there is one downside to cross-sectional study, this type of study is not able to provide a definitive relation between cause and effect relation (a cause and effect relationship is one where one action (cause) makes another event happen (effect)  This is majorly because cross-sectional study offers a snapshot of a single moment in time, this study doesn’t consider what happens before or after.
  • 4. LONGITUDINAL STUDY  Longitudinal study, like the cross-sectional study, is also an observational study, in which data is gathered from the same sample repeatedly over an extended period of time. Longitudinal study can last from a few years to even decades depending on what kind of information needs to be obtained.  The benefit of conducting longitudinal study is that researchers can make notes of the changes, make observations and detect any changes in the characteristics of their participants. One of the important aspects here is that longitudinal study extends beyond a single frame in time. As a result, they can establish a proper sequence of the events occurred.
  • 5.  Continuing with the example, in longitudinal study a researcher wishes to look at the changes in cholesterol level in women above the age of 30 but below 40 years who have jogged regularly over the last 10 years. In longitudinal study setup, it would be possible to account for cholesterol levels at the start of the jogging regime, therefore longitudinal studies are more likely to suggest a cause-and- effect relationship.  Cross-sectional studies can be done more quickly as compared to longitudinal studies. That’s why a researcher may start off with cross-sectional study and if needed follow it up with longitudinal studies.