PS287 Lecture Notes - Lecture 7: Statistical Hypothesis Testing, Casual Sex, Fundamental Attribution Error
Document Summary
Sex-related comparisons: observations: basic features of studies conducted, closer look at sex differences in ability. Men and women have more in common than not: confirmatory hypothesis testing: info recalled that confirms stereotypes. In cases where significant mean differences, distributions of scores for males and females often overlap. Mean is slightly higher for males, but majority of men and women similar. A statistically significant sex difference can exist even when most of the men and women are similar in their ability level. Only four domains showed sex differences: verbal ability (girls); visual-spatial ability, mathematical ability, aggression (boys) Many problems with their review (block, 1976: averaged across studies that varied widely in methodological rigor e. g. , measures that lacked construct validity, age-bias; gender intensification during adolescence, block found other differences. Statistical tool that quantifies results of a group of studies. Advantages: effect size used: not all studies weighed similarly (large vs. small samples, examine influence of moderating variables ( that depends )
