What Is Cross Sectional Data

The analysis might also have no regard to differences in time.

What is cross sectional data. Looks like you do not have access to this content. In contrast time series data is drawn from regularly spaced intervals. Cross sectional data analysis is when you analyze a data set at a fixed point in time.

Data set with maximum temperature humidity wind speed of few cities on a single day is an example of a cross sectional data. Widely dispersed data such as per capita income relating to one period or without respect to variance due to time. In contrast time series data or longitudinal data refers to data collected by following an individual respondent over a course of time.

Another example is the sales revenue sales volume number of customers and expenses of an organization in the past month. Cross sectional analysis is one of the two overarching comparison methods for stock analysis. A cross sectional study involves looking at data from a population at one specific point in time.

Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education. Surveys and government records are some common sources of cross sectional data. Cross sectional data also known as a study population s cross section is a kind of data gathered through the observation of several different subjects in the field of econometrics and statistics.

The datasets record observations of multiple variables at a particular point of time. Definition of cross sectional data. The participants in this type of study are selected based on particular variables of interest.

Cross sectional data or a cross section of a study population in statistics and econometrics is a type of data collected by observing many subjects such as individuals firms countries or regions at the one point or period of time. In a cross sectional study time is assumed to have random effect that produces only variance not bias. A cross sectional data is data collected by observing various subjects like firms countries regions individuals at the same point in time.