Cross Sectional Study Vs Time Series

Time series data is a set of observations collected at usually discrete and equally spaced time intervals.

Cross sectional study vs time series. A cross sectional study involves looking at data from a population at one specific point in time. Cross sectional studies look at only one time point. The longitudinal study design would account for cholesterol levels at the onset of a walking regime and as the walking behaviour continued over time.

Snapshot study make a survey form hand it out to people ask them how many calories they eat and compare it to their weight there and then tabulate and give your results no temporal relationship. Longitudinal studies can be repeated measure or time series. On the other hand cross sectional data focuses on several variables at the same point in time.

If we were to study a particular characteristic or phenomenon across several entities over a period of time we would end up with what s referred to as panel data. For example suppose we study the gdp of 3 developing countries for a period spanning 3 years from 2015 to 2017. Cross sectional data are data on one or more variables collected at the same point in time e g.

A time series data is a set of observations on the values collected at different times at discrete and equally spaced time intervals e g. Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education. It is possible to pool time series data and cross sectional data.

Often financial analysts are interested in particular types of data such as time series data or cross sectional data. The daily closing price of a certain stock recorded over the last six weeks is an example of time series data. Both look at multiple time points but repeated measure studies usually look at more variables while time series looks at more time points usually at least 50 and very few variables often only one.

The participants in this type of study are selected based on particular variables of interest. Monthly returns for past 5 years. 2003 year end book value per share for all new.