Tuesday, March 29, 2016

Unit 15 Psychological Disorders

Psychological Disorders 
(scroll down below this post for earlier posts such as Review Resources and the Personality Test)

About 26.2 percent of Americans ages 18 and older — about one in four adults — suffer from a diagnosable mental disorder in a given year.

About 6 percent of American adults suffer from a serious mental illness such as bipolar disorder, schizophrenia, and severe depression.

For more information about the DSM 5 see http://www.mainepsych.org/Resources/Pages/DSM5.aspx

Our book is based on DSM IV and many aspects of DSM 5 are similar, but there are some differences. The link above takes you to a DSM 5 overview page with links to specific changes. The Hank videos we saw in class and which are posted below are based on DSM 5. 

The following videos will help you understand the current definition of what a psychological disorder is, and learn about some of the main specific psych disorders.

You can turn on the Closed Captioning (cc) to see the text on the screen and pause/rewind the video as it plays so you can take notes on the Psych Disorders sheet I passed out in class.

Psychological Disorders - Crash Course

OCD and Anxiety Disorders - Crash Course

Depressive and Bipolar Disorders - Crash Course

Trauma and Addiction - Crash Course (we didn't see this one in class)

Schizophrenia and Related Disorders - Crash Course

Schizophrenia Simulation Video - (Produced by a pharmaceutical company)

Eating and Body Dysmorphic Disorders - Crash Course

Personality Disorders - Crash Course

1 comment:

Anonymous said...

In the first graph, the correlation is negative but is very strong. Two outliers are scattered on opposite ends of the graph. If it were to be date sets, the numbers fluctuates mainly in a set pattern. In the second graph, the correlation is positive and strong. It is strong because the data collected is consistent with a gradual increase; the data does not have points that are unusual.
Typically, people who are taller tend to have bigger feet versus shorter people. Sometimes there will be data that seems like it doesn’t fit, but that is why sample size matters. In the last graph, the correlation is negative and weak. The third variable not shown in the data can be gender since males typically have shorter hair than females; as well as the time of the year, where people preferably want shorter hair in the summer compared to winter. Correlation does not imply causation because not always do variables relate to one another.