PCAD & CATPAC 2011 Brittani Wolanin & Mike Kurtz

PCAD 2000  Psychiatric Content Analysis Diagnosis Program that performs content analysis of input text on scales developed by Louis A. Gottschalk, Goldine Gleser. Numerous studies have confirmed the validity and reliability of the scales in measuring affect, including cross-language and cross-cultural studies. Developed to eliminate extensive training of human scorers and decrease the time required to analyze samples.

How it Works  The program assigns scores on the user-selected Scales to each clause in the input sample  At the user’s option, reports score summaries for each scored Scale with comparisons to established norms for the subject’s demographic group  Provides an analysis of the score profile, and suggests possible diagnoses drawn from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)

Scales  Anxiety  Death  Mutilation  Separation  Guilt  Shame  Diffuse or Non-specific Anxiety  Hostility Scales  Hostility directed outward  Hostility directed inward  Ambivalent Hostility

Scales Continued Social Alienation-Personal Disorganization Scale Cognitive and Intellectual Impairment Scale Hope Scale Depression Scale Hopelessness Self-Accusation Psychomotor Retardation Somatic Concerns Separation Depression Hostility Outward

Scales Continued  Human Relations Sale  Achievement Strivings Sale  Dependence Strivings Scale  Health-Sickness Scale  Quality of Life Scale

How to use  The material being analyzed must be at least words and put into.SAM or.TXT format.  Was difficult to figure out.SAM .TXT was simple and worked properly .TXT is recommended

 Start>All Programs>CATA>PCAD>Scoring

 Copyright information> Click OK

 Guide Me

 Sample Selection

 If you saved files as.txt then switch the menu from.sam to.txt  Select the sample you want to analyze

 PCAD’s Default is to run on all scales  It is possible to choose specific scales  Select> select and/or deselect desired Scales

 Select Output Options  Printer  File  (Summary) output to spreadsheet

Charlie Sheen Interview  An interview with Charlie Sheen on “The Alex Jones Show”  Interview Recorded on Feb 24, 2011  Based in Austin, Texas, airs via the Genesis Communication Network over 60 AM, FM, and shortwave radio stations across the United States and on the Internet. His websites include Infowars.com and PrisonPlanet.com.

Analysis Results> Scored Clause

Analysis of Charlie Sheen Int.

Analysis on each scale

Summary analysis

Diagnoses  Schizophrenia, Disorganized (295.1x), Paranoid ((295.3x), undifferentiated (295.9x)  Schizophreniform disorder (295.40)  Psychiatric disorder (Atypical psychosis) not otherwise specified (298.90)  Schizoaffective disorder (295.70)  Child  Autistic disorder (299.00)

CATPAC

 Created by Joseph K. Woelfel  Can identify the most important words in a text and determine patterns of similarity  As a part of the Galileo suite the analysis can be turned into perceptual mapping in Thought View  Also provides interactive clustering through Oresme

How does it work?  Catpac moves a window of n words throughout the text  Words that appear through window making connections and associating words that appear close together within the text

Running the Program  Files need to be formatted into txt files in order to be analyzed  Analysis can be run for an output of either 25 words or 50 words (25 words were used in this analysis due to the size of the documents)

Opening CATPAC  Start > All Programs > CATA > Galileo Suite > CATPAC

Input.txt file into Catpac File > Open > Input File If you do this under “NEW”, it will crash the program.

Select File to be Analyzed Select your.txt file here.

Make Dendrogram (Dendogram) File > Run > Make Dendogram (Really Dendrogram)

What it looks like

Excluding for Common Words Maximize the tab labeled “DEFAULT.EXC” Then File > Open > Input File in this opened document.

Save as.CRD (Crud)  File > Save As > CRD File

Open Thought View  Start > All Programs > CATA > Galileo Suite > TV32

Thought View / Concept Clusters

Poem Analysis  Shakespeare  Lanyer  Charles Dickens

Results

Dickens

Demonstration  Demonstrating the capabilities of Thought View