Psychology 101: Research Design and Statistical Analysis for Psychology

Lecture Schedule and Notes

Lecture and Exam Schedule: The lecture schedule will be modified as needed during the semester. Lecture notes will be posted every Friday for the lectures for the following week.  Print out lecture notes before class to help you taking notes during class.  As lecture notes might change after class if further explanations are needed, check the website frequently.  Readings from the text should be completed BEFORE the corresponding lecture.

Date

Topic

Readings for Lecture

Lecture Slides (ppt)

Lecture Notes (pdf)

Week 1

Introduction and Research Design Primer

 

 

Wed, Aug. 27

Probabilistic Determinism, Complex Systems

 

Lecture 1 slides

Lecture 1 notes

Fri, Aug. 29

Research Design in Psychology

 

Lecture 2 slides

Lecture 2 notes

Week 2

Descriptive Statistics

K&M Ch. 1-3

 

 

Mon, Sep 1

Labor Day Holiday

Wed, Sep 3

Variables, Histograms

Ch. 1-2

Lecture 3 slides

Lecture 3 notes

Fri, Sep 5

Sampling, Histograms, and Probability Distributions

Ch. 3

Lecture 4 slides

Lecture 4 notes

Week 3

Means, Variance and the Normal Distribution

K&M Ch. 4-6

Mon, Sep 8

Measures of central tendency, Variance, Kurtosis, etc.

Ch. 4

Lecture 5 slides

Lecture 5 notes

Wed, Sep 10

Variance, Kurtosis, etc and Sampling

Ch. 5

Lecture 6 slides

Lecture 6 notes

Fri, Sep 12

The Normal Distribution - Z-scores

Ch. 6

Lecture 7 slides

Lecture 7 notes

Week 4

Distribution of Means and Hypothesis Testing

 K&M Ch. 6, 11-12

Mon, Sep 15

The Normal Distribution – Central Limit Theorem

Ch. 6

Lecture 8 slides

Lecture 8 notes

Wed, Sep. 17

DOM and the Standard Error of the Mean

Ch. 11

Lecture 9 slides

Lecture 9 notes

Fri, Sep. 19

Hypothesis Testing

Ch. 12

Lecture 10 slides

Lecture 10 notes

Week 5

Z-Test, Errors, Effect Size and Power

 K&M Ch. 12-13

Mon, Sep 22

Z-Test

Ch. 12

Lecture 11 slides

Lecture 11 notes

Wed, Sep 24

Errors. Effect Size and Power

 Ch. 13

Lecture 12 slides

 Lecture 12 notes

Fri, Sep 26

Effect Size and Power

 Ch. 13

Lecture 13 slides

Lecture 13 notes

Week 6

Inferential Statistics (end) and Single Factor Design

K&M Ch13 & 17;

 

 

Mon, Sep 29

MIDTERM 1

 

Practice Midterm

Practice Midterm Key

ANSWER KEY

Wed, Oct 1

Power and Effect Size (End)

Ch 13

Lecture 14 slides

Lecture 14 notes

Fri, Oct 3

Confidence Intervals and Single Factor Design

Ch17 (p295-302)

Lecture 15 slides

Lecture 15 notes

Week 7

T-Test

 K&M Ch. 14

 

 

Mon Oct 6

Single Factor Design and the 3 types of t-test

t-test for dependent means

Ch 14

Lecture 16 slides

Lecture 16 notes

Wed, Oct 8

One sample t-test and t-test for dependent means

SKIP Ch. 15!

Lecture 17 slides

Lecture 17 notes

Fri, Oct 10

T-test for dependent means. Between subject design

Ch. 14

Lecture 18 slides

Lecture 18 notes

Week 8

T-Test (end) and ANOVA (intro)

K&M Ch 14,19

 

 

Mon, Oct 13

T-test for independent mean: Calculation

Ch. 14

Lecture 19 slides

Lecture 19 notes

Wed, Oct 15

T-test for independent means: Effect size and Power

 

Lecture 20 slides

Lecture 20 notes

Fri, Oct 17

One way ANOVA Introduction

Ch. 19

Lecture 21 slides

Lecture 21 notes

Week 9

One-way ANOVA

 K&M Ch. 19

 

 

Mon, Oct 20

One-way ANOVA: Calculation example

Ch. 19

Lecture 22 slides

Lecture 22 notes

Wed, Oct 22

One-way ANOVA: Structural Model Formulation

Ch. 19

Lecture 23 slides

Lecture 23 notes

Fri, Oct 24

One-way ANOVA (end) – Factorial Design

 

 Lecture 24 slides

Lecture 24 notes

Week 10

One-Way ANOVA

 K&M Ch. 19

 

 

Mon, Oct 27

Structural Model Formulation

 Ch 19

Lecture 25 slides

 Lecture 25 notes

Wed, Oct. 29

Effect Size, Power, Modeling

 Ch 19

Lecture 26 slides

Lecture 26 notes

Fri, Oct 31

MIDTERM II

 

 

Midterm 2 Key

Week 11

Two-way ANOVA

K&M CH 20

 

 

Mon, Nov 3

Factorial Design

Ch. 20

Lecture 27slides

Lecture 27 notes

Wed, Nov 5

Two-way ANOVA: Calculation

Ch. 20

Lecture 28 slides

Lecture 28 notes

Fri, Nov 7

Two-way ANOVA Calculation

Ch. 20

Lecture 29 slides

Lecture 29 notes

Week 12

Regression and Correlation

K&M Ch. 7,8,9,16

 

 

Mon, Nov 10

Correlation

Ch. 7

Lecture 30 slides

Lecture 30 notes

Wed, Nov 12

Correlation and Hypothesis testing. Regression

Ch 8-9 , Ch 16

Lecture 31 slides

Lecture 31 notes

Fri, Nov 14

Regression (End)

 

Lecture 32 slides

Lecture 32 notes

Week 13

Chi-Square Test

K&M Ch. 18

 

 

Mon, Nov 17

Chi-Square Test

 Ch. 18

 Lecture 33 slides

 Lecture 33 notes

Wed, Nov 19

Chi-Square Test (end)

 

Lecture 34 slides

Lecture 34 notes

Fri, Nov 21

Midterm Review

 

 Lecture 35 slides

Lecture 35 notes

Week 14

Non Parametric tests and Data Transformations

K&M Ch 21

 

 

Mon, Nov.24

MIDTERM III

 

 

Midterm 3 Key

Wed, Nov. 26

Data Transformations/Rank Order tests (Intro)

 Ch. 21

Lecture 36 slides

Lecture 36 notes

Fri, Nov 28

Thanksgiving Holiday

Week 15

Ranks Order tests and Monte Carlo Methods

 K&M Ch 21

Mon, Dec 1

Rank Order tests

 

Lecture 37 slides

 Lecture 37 notes

Wed, Dec 3

Rank Order Tests/Monte Carlo Methods

 

Lecture 38 slides

Lecture 38 notes

Fri, Dec 5

Monte Carlo, Multiple Linear Regression

 

Lecture 39 slides

Lecture 39 notes

Week 16

Introduction to Multivariate and other Advanced Statistics

Mon, Dec 8

Multiple Linear Regression. GLM

 

Lecture 40 slides

Lecture 40 notes

Wed, Dec 10

Final Review

 

Lecture 41 slides

Lecture 41 notes

Final Exam:  Exam Group 1: Saturday Dec 13th, 8:00-11:00 AM

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