03:57

Basic Review of Stats

07:27

Inferential Statistics: Confidence Intervals

16:48

Data Cleaning

15:29

Z scores & Percentiles

18:21

Micro-networks: Centrality and Power

18:40

The Ego: Brokerage & Closure

12:49

The Ego: An Introduction

22:22

Introduction to Social Networks

20:56

Excel Workshop: Chi-squared

12:43

Excel Workshop: Independent-Sample T-Test

11:27

Analysis of variance

04:11

Independent-Sample T-Test

10:28

Paired-Sample T-Test

11:31

Excel Workshop: One Sample T Test

14:28

Descriptive Statistics: Basic Descriptives

06:44

Descriptive Statistics: Charts and Graphics

14:34

Central Tendency & Dispersion

42:19

Multivariate Analysis: partial Gamma & partial correlation

41:46

Bivariate Analysis: Regression & Correlation

02:48

SPSS Regression & Correlation

06:25

Calculating Regression

40:58

Bivariate analyses: nominal & ordinal measures

05:28

rho: excel calculations

27:18

Hypothesis testing: Chi-Squared

43:16

Hypothesis Testing: ANOVA

09:35

Calculations for ANOVA

21:55

Hypothesis Testing: Independent Sample T-Test

26:20

Hypothesis Testing: Paired sample t-test

05:38

calculating sum of the difference scores

22:52

Hypothesis Testing: Single Sample Test

24:28

Hypothesis Testing: Introduction to Hypothesis Testing

21:20

Inferential Statistics: Confidence Intervals

17:13

Inferential Statistics: Introduction and Sampling Procedures

18:25

Descriptive Statistics: Normal distribution

12:11

Descriptive Statistics: Dispersion

12:59

Descriptive Statistics:Central Tendency

22:36

Lecture 7 Understanding Human Diversity

16:05

Lecture 2: History of Community Psychology

20:30

Syllabus

07:14

Course Introduction

19:02

Lecture 3: Aims of Community Research

20:55

Lecture 1: Introduction to Community Psychology

19:12

Lecture 4: Community Psych Methods

20:51

Lecture 5 Individuals in Context

15:32

Lecture 6 Understanding Communities

21:43

Lecture 8 Stress and Coping

21:29

Lecture 10 Prevention and Promotion Programs

21:22

Lecture 9 Prevention and Promotion - Key Concepts

18:45

Lecture 11 Empowerment & Citizen Participation

16:46

Lecture 12 Community Change

17:24

Lecture 13: Program Evaluation

14:14

thesis formatting

30:00

Descriptive Statistics: Basic descriptives

31:09

Building a base: Introduction to statistics

12:45

Building a base: Stats and Math

22:16

Correlation

22:08

One-Way ANOVA Computations

16:36

Two-Way ANOVA - Compute

17:46

Confidence intervals

22:23

Chapter 10 Independent Sample s T-Test