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The Longitudinal Research is the observational research. In this research process, the researcher do not interfere with their subjects. In this study the researcher conducts the several observations of the same subject over the time period. The fixed example of the population elements is measured repeatedly on the same variable. The longitudinal research is used for market tracking, brand switching, attitude and image checks, the impact of the diseases and the treatment method etc.

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FREE 9+ Longitudinal Research Templates in PDF | MS Word

1. Design and Analysis Methods for Longitudinal Research

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2. Longitudinal Research

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3. Qualitative Longitudinal Research

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4. Longitudinal Research Example

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5. Domestic Violence in Longitudinal Research

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6. Fundamentals of Longitudinal Research

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7. Longitudinal Research Innovation

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8. Retention in Qualitative Longitudinal Research

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9. Longitudinal Research on Resilience

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10. Longitudinal Qualitative Research

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How can you conduct the Longitudinal Research?

The large number of the can be involved or recruited to serve the potential panel members. This makes it easier for the researcher to target and collect the data from low incidence groups. There are online survey programmer but as everyone is not skilled enough to carry out this and the internet panels may not be the representative of the total population. And the steps discussed below lead to the good longitudinal research study:

Step 1: The geographic diversity

Longitudinal studies employ repeated measures to follow certain individuals over long periods of time in years and decades. They are occasionally observational in nature, with quantitative and qualitative data being gathered on any combination of exposures and outcomes, without any outer force being applied. This study type is overall useful for evaluating the relationship among the risk factors and the development of disease, and result of treatments over different lengths of time.

Step 2: The efficient data collection and diversity

The need for longitudinal studies and the types of large-scale data resources are discussed along with their general scientific usage, role in aging research, and affordability. The diversification of approaches to large-scale data resourcing is described in order to facilitate their use in aging research. Infact the moderately sized, widely spaced repeated-evaluation study design often used in aging research has plenty of strengths there are also limitations, most notably in terms of being underestimated for many secondary analyses, and using technology that is inflexible and expensive.

Step 3: Qualitative longitudinal research

There is a emerging interest and involvement in qualitative research methods and techniques in the social sciences, and amongst policy makers, that can see that statistical techniques that can give them answers to ‘what’ queries but leave them in relative darkness about ‘why’ and ‘how’. A paradox increasing between the increased interest in qualitative methods and desires to apply the findings of such research to policy; and increasing dependence in some societies on quantitative research and statistical knowledge upon which to base economic and sociopolitical planning, administrative practices etc.

Step 4: These are powerful method of research

As they use the observation technique without manipulating the state of the world, longitudinal researches have been debated to having less power in comparison of detecting causal relationships compared with experiments. On the other hand, they are called to have more power than other studies when it comes to exclude the time-invariants and unobserved individual differences and when it come to observing a certain event’s temporary order, as they use repeated observations at individual levels.

Step 5: It is extremely flexible

Longitudinal research study are usually observed to allow flexibility to occur. These implies that the focus they use can be transferred while researchers are gathering data. These techniques are generally more flexible and powerful than the traditional repeated-measure analysis in terms of managing longitudinal data with missing measurements for plenty of time over the longitudinal data collection period and handling longitudinal information sets with more than two levels.

How do the Longitudinal Research works?

The Longitudinal Research contains less variables and lots of the data. And, it is mainly trustworthy because it is the participants. There are the various type of the longitudinal studies like the trend studies, cohort analysis and panel study etc. The most common type of the longitudinal research study is the mass media research. The trend study sample different group at different times from same population. This study is common at the election time.

This study helps in investigating the sample from the general population over the time with respect to some phenomenon. It permits researcher to examine pattern and rate of changes or to make predictions about the future directions based on previously identified patterns and rate of changes. The cohort is the group of individual who are related in some way or the other who have experienced the same significant life event with the time period.

The study in which the characteristics of one or more cohorts is measured at two or more point in time is the cohort analysis. The qualitative data can help in the interpretation of the quantitative data and give insight that might be missed. The qualitative data shall suggests new hypothesis that can be examined in the waves of data gathering process.

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