Rasch Analysis of Relational Well-Being Within the National Survey of Adoptive Parents of 2007: A Comparison of Multidimensional, Consecutive, and Unidimensional Approaches to Measure Construction

<p>A unidimensional Rasch approach was used to explore whether the data collected through the National Survey of Adoptive Parents of 2007 (NSAP) for the well-being items represented a single latent construct and to establish a base model for comparison. A consecutive approach was then used as an exploratory tool to draw out potential multiple dimensions. Finally, multidimensional item response theory (MIRT) was used to confirm the results of the consecutive approach findings while comparing with the unidimensional baseline. Items within the survey were evaluated for scale function as well as invariance.</p> <p>The comparison of three approaches (unidimensional, combined consecutive, and 2-dimensional MIRT) found that the combination of Consecutive Dimensions A and B yielded the best fitting model for these data sets. The nested 2-dimensional MIRT model showed better fit than the unidimensional model, but concerns with item position and inconsistent error terms supported the combined consecutive model.</p> <p>The use of IRT and MIRT analysis techniques helped strengthen the survey by identifying items within the survey that relate to identified constructs. The comparison of three approaches provides practitioners with an example of how to use a consecutive approach in Rasch for exploratory purposes when dimensionality has not already been established.</p> <p>The NSAP survey was developed to gather data from a large cross-section of adoptive parents in the United States. The well-being subsection gathered data on the parent-child relationship with the intent to assist adoption practitioners, policy-makers, and researchers. Since only twelve of the thirty-nine items were utilized within the models, the data collection opportunity was not fully captured. This lost opportunity of data collection supported the idea of survey development partnerships between topic content experts and psychometricians, when building measures, to maximize the effectiveness of the tool as well as the data gathered.</p>

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Year dc:date.available

2019

Author dc:creator

• Furno, Michael A

Contributors dc:contributor

• Kathy Green, Ph.D.
• Antonio Olmos, Ph.D.
• Maria Riva, Ph.D.
• Corinne Lengsfeld, Ph.D.

• Adoption
• Item response theory
• Psychometrics
• Rasch
• Life Sciences
• Research Methods in Life Sciences

Statement dc:rights

• <p>Copyright is held by the author. User is responsible for all copyright compliance.</p>

Language dc:language

en

Repository record dc:identifier

https://digitalcommons.du.edu/etd/1577

OAI identifier oai:identifier

oai:digitalcommons.du.edu:etd-2577