Page 1 |
Save page Remove page | Previous | 1 of 92 | Next |
|
small (250x250 max)
medium (500x500 max)
Large (1000x1000 max)
Extra Large
large ( > 500x500)
Full Resolution
All (PDF)
|
This page
All
|
APPLYING ADAPTIVE METHODS AND CLASSICAL SCALE REDUCTION TECHNIQUES TO DATA FROM THE BIG FIVE INVENTORY by Kevin Terrance Petway, II A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF ARTS (PSYCHOLOGY) August 2010 Copyright 2010 Kevin Terrance Petway, II
Object Description
Title | Applying adaptive methods and classical scale reduction techniques to data from the big five inventory |
Author | Petway, Kevin Terrance, II |
Author email | petway@usc.edu; kevpetway2@gmail.com |
Degree | Master of Arts |
Document type | Thesis |
Degree program | Psychology |
School | College of Letters, Arts and Sciences |
Date defended/completed | 2010-06-15 |
Date submitted | 2010 |
Restricted until | Unrestricted |
Date published | 2010-07-16 |
Advisor (committee chair) | McArdle, John J. |
Advisor (committee member) |
Read, Stephen J. John, Richard S. |
Abstract | Multiple short form approaches, the graded response IRT model (Samejima, 1969), and CART were used to reduce the Big Five Inventory’s five personality scales (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience). Data was taken from the 2008 CogUSA sample of older adults (Fisher et al., TBP, N = 1427). Two short form techniques were adopted: (1) an extraction of the highest correlates based on correlational analysis, and (2) an extraction of the highest loaders based on factor analysis. The graded response model utilized item difficulties and discrimination to adapt the measure to participants. Following McArdle (2009), Classification and Regression Trees (CART), which estimates scores based on regression logic that allows for differential allocation of participants, was used here for adaptive testing as well. Each method’s predicted scores were correlated with both observed scores and factor scores. Evidence suggested the two score types did not line up perfectly due the measure’s factor structure. The correlational approach to short forms best approximated the observed score while the CART technique that predicted factor scores (used as the target in the CART analysis) most consistently estimated factor scores. Issues with the factor structure, problems with the agreeableness scale, time savings, and identification of the “true” score are discussed. |
Keyword | personality inventory; personality; adaptive test; CART; classification and regression trees; item response theory; IRT; CogUSA; Big Five; scale measurement; adaptive scale; short form; graded response model |
Language | English |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m3194 |
Contributing entity | University of Southern California |
Rights | Petway, Kevin Terrance, II |
Repository name | Libraries, University of Southern California |
Repository address | Los Angeles, California |
Repository email | cisadmin@lib.usc.edu |
Filename | etd-Petway-3892 |
Archival file | uscthesesreloadpub_Volume32/etd-Petway-3892.pdf |
Description
Title | Page 1 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | APPLYING ADAPTIVE METHODS AND CLASSICAL SCALE REDUCTION TECHNIQUES TO DATA FROM THE BIG FIVE INVENTORY by Kevin Terrance Petway, II A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF ARTS (PSYCHOLOGY) August 2010 Copyright 2010 Kevin Terrance Petway, II |