Cross Sectional Design Psychology
Cross sectional designs are sometimes thought to be unfair since and considered to be useful only in instances that varying personality traits ages or amounts of life experience would not alter the validity of results.
Cross sectional design psychology. Therefore a longitudinal study is more likely to suggest cause and effect relationships than a cross sectional study by virtue of its scope. In general the research should drive the design. A cross sectional study involves looking at data from a population at one specific point in time.
Cross sectional studies are much cheaper to perform than other options that are available to researchers. List of the advantages of a cross sectional study 1. It is an affordable study method.
In psychology cross sectional research studies are often used by researchers studying developmental psychology. This is usually done with cohorts so that researchers can examine how people of different ages perform behave or respond to a particular function. Here are the advantages and disadvantages of cross sectional studies to consider.
The longitudinal study design would account for cholesterol levels at the onset of a walking regime and as the walking behaviour continued over time. These could include age range gender identity socio economic status and so on. They often do this to examine changes in similar groups at different ages.
Cross sectional design aims to do the same thing but rather than take a single group of the same ages and repeatedly test them as they grow older this design takes a group of individual of different ages of developmental stages and compare how the specific behavior is different from one age group to another. There are short term longitudinal studies extending from age four to six for instance and full birth to maturity longitudinal. The participants in this type of study are selected based on particular variables of interest.
In a cross sectional study all of the children at age eight for example are different from those at age seven. Types of growth data. A study may be longitudinal over any number of years.