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Examining the Psychometric Properties of the Calgary Symptoms of Stress Inventory.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Examining the Psychometric Properties of the Calgary Symptoms of Stress Inventory./
Author:	Naylor, Paige D.
Description:	1 online resource (114 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:	Dissertation Abstracts International79-05B(E).
Subject:	Clinical psychology. -
Online resource:	click for full text (PQDT)
ISBN:	9780355500837

Examining the Psychometric Properties of the Calgary Symptoms of Stress Inventory.
Naylor, Paige D.

Examining the Psychometric Properties of the Calgary Symptoms of Stress Inventory. - 1 online resource (114 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.

Thesis (Ph.D.)--University of South Alabama, 2018.

Includes bibliographical references

Stress is prevalent within our culture. Although stress can be a resourceful function, and has helped humans adapt over time, chronic and prolonged maladaptive stress produces adverse symptoms, physically, psychologically, and socially. The history of stress research is well documented. Stress was once thought of as solely a physiological reaction to pressure placed on humans. Later, stress was thought of as an interaction between a stressor and a person's response to that stressor. Other approaches involve transactions between human and environment. An all-inclusive view of stress can be achieved through a biopsychosocial lens encompassing all of the major stress theories. Measures that can assess stress using this conceptualization are desired, yet limited in scope. One such measure is the Calgary Symptoms of Stress Inventory. This measure was normed on a relatively homogenous group of patients with cancer, who were mostly female, higher educated, white, and largely patients with breast cancer. A norm referenced measure is only useful if the reference sample is representative. Therefore, the C-SOSI must be validated in a more heterogeneous group of patients with cancer in order to determine if the factor structure is valid for this population. Furthermore, since measures of this nature are limited, yet highly desirable, it would be beneficial to be able to use it in non-clinical populations as well. There are no items on the measure that are specific to cancer patients. However, in order to determine if the measure is appropriate for a non-clinical population, the factor structure must be tested in this population. The current study aimed to provide a psychometric evaluation of the C-SOSI. Specifically, by conducting a series of confirmatory factor analyses (CFA) using structural equation modeling (SEM) with a diverse cancer population and a non-clinical college student population to either confirm or disconfirm the factor structure obtained by the original validation study conducted by Carlson and Thomas (2007). It was hypothesized the C-SOSI would not provide a valid factor structure for the heterogeneous cancer population or the non-clinical population. Overall, the C-SOSI did fit a bifactor configural invariance model and showed evidence of metric invariance, supporting its use in both sample groups. However, scalar invariance did not pass, rendering group comparisons inappropriate. An EFA was conducted to reduce redundancy within the C-SOSI, creating a briefer version. Overall, psychometric properties including convergent and discriminant validity as well as internal consistency and test-retest reliability showed positive results.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355500837Subjects--Topical Terms:

649607
Clinical psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Examining the Psychometric Properties of the Calgary Symptoms of Stress Inventory.
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520 $a Stress is prevalent within our culture. Although stress can be a resourceful function, and has helped humans adapt over time, chronic and prolonged maladaptive stress produces adverse symptoms, physically, psychologically, and socially. The history of stress research is well documented. Stress was once thought of as solely a physiological reaction to pressure placed on humans. Later, stress was thought of as an interaction between a stressor and a person's response to that stressor. Other approaches involve transactions between human and environment. An all-inclusive view of stress can be achieved through a biopsychosocial lens encompassing all of the major stress theories. Measures that can assess stress using this conceptualization are desired, yet limited in scope. One such measure is the Calgary Symptoms of Stress Inventory. This measure was normed on a relatively homogenous group of patients with cancer, who were mostly female, higher educated, white, and largely patients with breast cancer. A norm referenced measure is only useful if the reference sample is representative. Therefore, the C-SOSI must be validated in a more heterogeneous group of patients with cancer in order to determine if the factor structure is valid for this population. Furthermore, since measures of this nature are limited, yet highly desirable, it would be beneficial to be able to use it in non-clinical populations as well. There are no items on the measure that are specific to cancer patients. However, in order to determine if the measure is appropriate for a non-clinical population, the factor structure must be tested in this population. The current study aimed to provide a psychometric evaluation of the C-SOSI. Specifically, by conducting a series of confirmatory factor analyses (CFA) using structural equation modeling (SEM) with a diverse cancer population and a non-clinical college student population to either confirm or disconfirm the factor structure obtained by the original validation study conducted by Carlson and Thomas (2007). It was hypothesized the C-SOSI would not provide a valid factor structure for the heterogeneous cancer population or the non-clinical population. Overall, the C-SOSI did fit a bifactor configural invariance model and showed evidence of metric invariance, supporting its use in both sample groups. However, scalar invariance did not pass, rendering group comparisons inappropriate. An EFA was conducted to reduce redundancy within the C-SOSI, creating a briefer version. Overall, psychometric properties including convergent and discriminant validity as well as internal consistency and test-retest reliability showed positive results.
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