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

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

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**