3. In 1924 elected to Royal Society
Dr. Spearman has made many researches in
experimental psychology. His many
published papers cover a wide field, but he is
especially distinguished by his pioneer work
in the application of mathematical methods
to the analysis of the human mind, and his
original studies of correlation in this sphere.
He has inspired and directed research work
by many pupils."
4. 3. Spearman's rank correlation coefficient
1. Models of Human Intelligence
4. Statistics
2. Factor Analysis
Work
5. Factor Analysis
Spearman applied mathematical procedures to
psychological phenomena, and molded the outcome of
his analysis into a theory
Factor analysis is a useful tool for investigating
variable relationships for complex concepts such as
socioeconomic status, dietary patterns, or
psychological scales.
6. Factor theories of Intelligence
UNITARY THEORY
Intelligence consists of
one factor
A Fund of intellectual
competence
Universal to all activities of
the individual
1 a
b c
7. ANARCHIC THEORY OR MULTIFACTOR
THEORY
Intelligence a combination of
numerous separate elements or
factors
Propagated by E.L Thorndike
8. factor of Intelligence
factor of Intelligence
g
sss
s s
G
S
Developed using factor analysis.
TWO FACTOR THEORY
Has two components
9.
10. • Most significant achievement was the discovery
of general factor in human intelligence.
• Coined the term g factor and s factor
11. G factor of Intelligence
Influences the performance on all mental tasks
Saw individuals as having more or less general
intelligence
Made up of two genetically influenced, unique
abilities working together
“educative" and "reproductive”
12. g is one of the most reliable and valid
measures in the behavioral domain...
and it predicts important social
outcomes such as educational and
occupational levels far better than any
other trait.
13. • This component was specific to a certain
aspect of intelligence
S factor of Intelligence
• Influences abilities on a particular
task
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter (rho) or as , is a nonparametric measure of statistical dependence between two variables. It assesses how well the relationship between two variables can be described using a monotonic function. If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other.
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter (rho) or as , is a nonparametric measure of statistical dependence between two variables. It assesses how well the relationship between two variables can be described using a monotonic function. If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other.