Calendar

N.b.: all readings are to be completed before class on the week indicated.

August 28, 2017
rained out – no class meeting

September 4, 2017
Labor Day holiday – no class meeting

September 11, 2017
reading:
Levin, Fox, and Forde chapters 1-4

quick review of some basic concepts:
– variables
– frequency distributions
– levels of measurement
– samples vs. populations
– descriptive vs. inferential statistics
– mean, median, mode
– range and variation
– standard deviation
– n vs. n-1

classroom exercise: growing education divide in cities

September 18, 2017
reading:
Levin, Fox, and Forde chapter 5, and
(skim) O’Boyle Jr., Ernest and Herman Aguinis. 2012. “The Best & the Rest: Revisiting the Norm of Normality of Individual Performance.” Personnel Psychology (65)79-119.

probability and the normal distribution
– freaky pervasiveness and relevance
– areas under the curve
– z scores

September 25, 2017
reading:

Levin, Fox, and Forde chapter 6, and
Ioniddis, John P. A. 2005. “Why Most Published Research Findings are False.” PLOS Medicine 2(8):696-701.

the Central Limit Theorem
– why the universe looks like it does
– why inferential statistics work

confidence intervals
– for means
– for proportions

October 2, 2017
reading:
Levin, Fox, and Forde chapter 7, and
Nuzzo, Regina. 2014. “Statistical Errors: P Values, the ‘Gold Standard’ of Statistical Validity, Are Not as Reliable as Many Scientists Assume.” Nature 506(February 13):150-2.

the logic of hypothesis testing
– the provisional nature of all scientific knowledge
– null vs. alternative hypotheses
– one vs. two tailed tests
– type I vs. type II error
– statistical power

October 9, 2017
reading:
review Levin, Fox, and Forde chapter 7
Trafimow, David and Michael Marx. 2015. “Editorial.” Basic and Applied Social Psychology (37):1-2.

t tests
– single sample test of proportions
– two samples, independent
– two samples, matched or pretest/posttest
– test for difference of proportions

October 16, 2017
class meets in UAC 424 for graded assignment
reading:
Levin, Fox, and Forde chapter 8

ANOVA

October 23, 2017
reading:
Levin, Fox, and Forde chapter 9

chi-square
– crosstabs
– adjusted residuals

Mann-Whitney’s U

October 30, 2017
first half of class: midterm exam

second half of class: the logic of random sampling
– why the samples really truly need to be random
– random error vs. systematic error
– selection biases
– non response biases
– response biases (social desirability, wording effects, order effects, testing effects, anchoring heuristics)

in class assignment: random sampling from telephone book (“telephone book” will be explained in class)

November 6, 2017
reading:
Levin, Fox, and Forde chapter 10, also pp. 452-462

correlation
– Cramer’s V (nominal level)
– Goodman and Kruskal’s gamma (ordinal level)
– Pearson’s r (interval level)
– direct, inverse, and curvilinear relationships
– scatterplots
– dependent and independent variables
– correlation vs. causation, extraneous variables redux
– partial correlation
– coefficient of determination

November 13, 2017
class meets in UAC 424 for graded assignment

reading:
Levin, Fox, and Forde chapter 11

linear regression
– the deep logic of the least squares line
– how to find the line of best fit and how to deal with the nearly limitless mojo it imparts to s/he who wields it

November 20, 2017
reading:
Levin, Fox, and Forde chapter 11 again. Read it again.

multiple regression
– regression to the mean
– multivariate relationships (spurious, multicausal, mediated, suppressed, interacting)
– the linear multivariate regression model
– interpreting regression coefficients, beta weights, R, and R square

November 27, 2017
reading:
Levin, Fox, and Forde chapter 12

multiple regression
– multicollinearity, scourge of the social sciences
– dummy variables

logistic regression

December 4, 2017
reading:
(skim) Levin, Fox, and Forde chapter 13

logistic regression

review for final exam

December 11, 2017
8:30 p.m.
final exam