:The relationship between creativity and intelligence in infancy and childhood - Essay Example

The work done by Wallach and Kogan has become the bench mark in the field and serves as the basis for most studies in the field. As the study was published in 1965, there have been advances in research methods such as latent variable analysis. This study found no correlation between intelligence and creativity. What this technique accomplishes is to determine the relationship between variables in creativity and intelligence and to determine variables in methods shared by differing creativity tasks used to measure different aspects of creativity.

The use of latent variable analysis used by Paul J. Silvia has shown that there is a higher relationship between the two concepts. Taking existing data and re-examining it with new techniques is an efficient method of research as the expensive, tedious process of gathering the data is already done. Another advantage, at least when working with well-known material, is that people the audience will already have a knowledge of the material, making the new study easier to comprehend. This is what Silvia has done with his re-examination of the data gathered by Wallach and Kogan.

Most studies show a correlation of between range of r=.10 to.30. Wallach and Kogan developed a series of tests for creativity and intelligence that were performed on a group of 151 children consisting of 70 boys and 81 girls. There were five measures of creativity given in a relaxed atmosphere. The people giving the tests had a basic familiarity with the children , thus furthering to include a The intelligence and achievement tests were in correlation, though the creativity tests were not.

This was such a landmark study because it was the first to have a consistency between all of the tests (Silvia 2006). The research that was performed was important for the time, but Wallach and Kogan did not have all of the methods available to them that modern researchers have. Using descriptive statistics from the raw data, which