01:13

overview of one group analysis

01:38

intro to program evaluation

04:11

ssd visual analysis

03:05

ssd numerical analysis

01:01

intro to ssd analysis

01:58

intro to ssd and snd

02:24

small n design

02:36

ssd phases

02:47

ssd with withdrawal

02:46

ssd and snd meta issues

03:52

simple logistic regression

04:44

odds vs probabilities

06:12

odds ratio

04:11

intro to logistic regression

06:45

simple linear regression

04:50

correlation vs regression

03:11

ci of regression slope

04:35

Types of correlations

03:40

Correlation r values and p values

03:47

Introduction to correlation

02:11

Confidence interval for a correlation coefficient

01:32

chi square test for independence

06:43

goal attainment scaling

08:10

goal attainment scaling controversy

02:57

types of survey questions

02:28

interviews vs surveys

01:39

what is similar enough

01:09

is my data normally distributed

00:57

how many measurements

02:28

how are you making comparisons

04:58

applied psychometrics

05:58

measurement validity

03:51

measurement reliability

00:34

visual analysis

01:21

statistical analysis celeration

00:38

statistical analysis 2 sd band

01:34

ssds withdrawal

00:33

ssd multiple treatment design

00:43

ssd and small n

00:41

small n

00:23

ssd and small n analysis

00:21

systematic review

00:49

publication bias

00:50

meta analysis

01:09

literature synthesis

00:34

hypothesis testing meta analysis

00:23

heterogeneity

01:01

grades of recommendation

00:30

forest plots

00:47

eta squared

01:30

cohen's d

00:49

95ci of effect size

01:42

nnt

01:20

mcid

03:54

repeated measures anova 2021

01:29

post hoc testing 2021

02:39

one way vs two way 2021

01:50

multiple comparisons 2021

02:23

main effects and interactions 2021

02:15

lack of statistical power 2021