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8 variables and 25 observations

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Q: Variables from the sample data set from the National Longitudinal Study of Youth?
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Longitudinal study versus cross-sectional study?

A longitudinal study and a cross-sectional study are methods of collecting scientific data. A longitudinal study is the method that gathers data on a subject for a particular period of time and the subject's response to particular variables. A cross-sectional study is where more than one subject is used for the collection of data at different points in time in response to particular variables. These types of studies are sometimes used to determine correlation.


What is the major difference between a longitudinal study and cross sectional study?

the cross-sectional study selects a sample that has all the age ranges the researchers are interested in verses one group that is followed throught time


What is the major difference between a longitudinal study and a cross sectional study?

the cross-sectional study selects a sample that has all the age ranges the researchers are interested in verses one group that is followed throught time


Strengths and weaknesses of snapshot study?

One problem with a longitudinal study is that a relationship is built with participants, making it difficult for the researcher to remain objective. In a snapshot study, that relationship isn't built, making it easier to remain objective, reducing researcher bias. Researcher bias is an extraneous variable, which can affect the dependent variable, whereas only the independent variable should affect it. This can make it more difficult to establish cause and effect. In addition, subject attrition isn't as much of an issue in snapshot research (where participants drop out), so therefore the sample is just as large as it was when the study started. Therefore, the sample remains unbiased - as in longitudinal research only a particular type of person would continue in the study - and representative. However, a snapshot study doesn't show a behaviour developing in the same group like longitudinal research does, therefore, participant variables become an issue. Participant variables are an extraneous variable, which can affect the dependent variable, whereas only the independent variable should affect it. This can make it more difficult to establish cause and effect.


What has the author Gad Nathan written?

Gad Nathan has written: 'Multiplicity study of marriages and births in Israel' 'A review of sample attrition and representativeness in three longitudinal surveys'


What is a sample study?

sample is the population we make our study about them.


What is a longitudinal cohort study?

A longitudinal cohort study involves studying a specific group of people over an extended period of time.


What are the examples of longitudinal method of research?

A longitudinal study is a study that goes on for a long time. An example of this method of research would be an ethnography.


What is the major difference between a longitudinal study and a cross-sectional study?

a longitudinal study and its topic is critiqued for quite a lenghty period of time. this study is undertaken by the researcher and lasts for years, so in saying this it is quite obvious that this is a study that is taken into the future. however, a cross sectional study critiques its research at something that has happened or occured at a specific point in time. it may be a person's experience or an event of some interest.


Which ethnological method that begins with the development of a hypothesis which is tested using a large sample of societies to see if the variables under study are correlated with one another is?

cross-cultural comparisons


What is a naturalistic experiment?

in psychology terms what is a naturalistic experiment and a longitudinal study?


What are the 3 types of longitudinal studies?

The three main types of longitudinal studies are cohort studies, panel studies, and trend studies. Cohort studies follow a specific group of individuals over time, panel studies revisit the same group of individuals at multiple points, and trend studies analyze data collected from different samples at various time points.