Introduction to Measurement, Psychometrics - Basic Statistics for Behavioral Sciences - Lecture Notes, Study notes of Statistics for Psychologists

Introduction to Measurement, Psychometrics, History of Testing and Measurement, Probability Review, Expected Value Mean, Expectation Rules, Variance, Covariance are some points from this helpful lecture notes.

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Ch. 1. Introduction
I. Definition
A Measurement: systematic assignment of numbers to the characteristics of objects.
B. Psychometrics: theories concerning psychological measurement.
II. History of testing and measurement (A History of Psychological Testing, by Philip H. Du
Bois (1970))
A. About 1000 B.C. China had a testing system for civil-service officers (music,
horsemanship, civil law, writing, Confucian principles, and knowledge of public
and private ceremonies). In 1905, China eliminated the system.
B. Francis Galton (1822-1911): Anthropometric Lab had Galton's test which
contained various sensory and motor skills. Regression (1885).
C. Karl Pearson (1857-1936): Pearson product moment correlation coefficient and
chi-square test, r (1895).
D. Alfred Binet (1857-1911): First individual intelligence test (1905).
E. William Stern (1871-1938): developed the concept of Intelligence Quotient (IQ)
which was the ratio of mental (measured) age to chronological (actual) age.
F. Charles Spearman (1863-1945): modern concept of reliability and factor analysis.
G. Many journals were founded: Psychometrika (1935), Educational and
Psychological Measurement (1941), British Journal of Mathematical and
Statistical Psychology (1947), Multivariate Behavioral Research (1966).
III. Probability Review
A. Expected value (Mean): Sum [pro(x)*value(x)]
E(X) = Σp(X = xi)xi = μX
E(XY) = ΣΣp(X = xi, Y = yj)xiyj = E(X)E(Y)
E(X²) = Σp(X = xi)xi²
B. Expectation Rules (X and Y are independent)
1. E(c) = c, where c is a constant.
2. E(cX) = cE(X)
3. E(X + Y) = E(X) + E(Y)
4. E(XY) = E(X)E(Y)
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Ch. 1. Introduction I. Definition A Measurement: systematic assignment of numbers to the characteristics of objects. B. Psychometrics: theories concerning psychological measurement.

II. History of testing and measurement ( A History of Psychological Testing , by Philip H. Du Bois (1970)) A. About 1000 B.C. China had a testing system for civil-service officers (music, horsemanship, civil law, writing, Confucian principles, and knowledge of public and private ceremonies). In 1905, China eliminated the system. B. Francis Galton (1822-1911): Anthropometric Lab had Galton's test which contained various sensory and motor skills. Regression (1885). C. Karl Pearson (1857-1936): Pearson product moment correlation coefficient and chi-square test, r (1895). D. Alfred Binet (1857-1911): First individual intelligence test (1905). E. William Stern (1871-1938): developed the concept of Intelligence Quotient (IQ) which was the ratio of mental (measured) age to chronological (actual) age. F. Charles Spearman (1863-1945): modern concept of reliability and factor analysis. G. Many journals were founded: Psychometrika (1935), Educational and Psychological Measurement (1941), British Journal of Mathematical and Statistical Psychology (1947), Multivariate Behavioral Research (1966).

III. Probability Review A. Expected value (Mean): Sum [pro(x)*value(x)]

E (X) = Σp(X = xi)xi = μX

E (XY) = ΣΣp(X = xi, Y = yj)xiyj = E (X) E (Y)

E (X²) = Σp(X = xi)xi²

B. Expectation Rules (X and Y are independent)

  1. E (c) = c, where c is a constant.
  2. E (cX) = c E (X)
  3. E (X + Y) = E (X) + E (Y)
  4. E (XY) = E (X) E (Y)

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C. Variance σ²X = E (X - μX)² = E (X² - 2XμX + μX²) = then, a miracle happened. = E (X²) - 2μX E (X) + E (μX²) = E (X²) - 2μXμX + μX² = E (X²) - μX² = E (X²) – [ E (X)]^2 D. Covariance σXY = E (X - μX)(Y - μY) = E (XY) - μXμY = E (XY) - E (X) E (Y) = 0 if X and Y are independent.

σ²(X+Y) = σ²X + σ²Y + 2σXY = σ²X + σ²Y if X and Y are independent. E. Correlation σXY ρXY = ───── σXσY

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