scholarly journals Validation of subscales of the Severe Asthma Questionnaire (SAQ) using exploratory factor analysis (EFA)

2020 ◽  
Author(s):  
Joseph W. Lanario ◽  
Michael Hyland ◽  
Andrew Menzies-Gow ◽  
Adel H Mansur ◽  
James W. Dodd ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Severe Asthma ◽  
Best Practice ◽  
Mean Value ◽  
Emotional Impact ◽  
Global Rating ◽  
Hrqol Questionnaire ◽  
Oblimin Rotation ◽  
The Impact

Abstract BackgroundThe Severe Asthma Questionnaire (SAQ) is a health related quality of life (HRQoL) questionnaire validated for use in severe asthma. It is scored using the mean value of 16 items (SAQ score) in addition to a single item global rating of HRQoL (SAQ-global). The aim was to validate clinically relevant subscales using exploratory factor analysis (EFA).MethodsThe SAQ was completed, along with measures of asthma control and EQ5D-5L by patients attending six UK severe asthma centres. Clinical data were included in the analysis. EFA using principal axis factoring and oblimin rotation was used to achieve simple structure of data. Results460 patients with severe asthma participated, 65% women, mean age 51 (16-83) yrs. A three factor solution achieved best fit and showed that the SAQ items formed three distinct but inter-correlated groups of items where items were grouped in a way that was consistent with item content. The three subscales were differentially associated with clinically relevant variables (lung function and mood). Males and females interpreted the question of night disturbance in different ways.ConclusionsThis paper provides a template for best practice in the use of EFA when validating HRQoL subscales. The SAQ can be scored as three subscales with content reflecting three different constructs people with severe asthma use when making judgements about their lives. The subscale ‘My Life’ assesses the impact of severe asthma on different life activities, ‘My Mind’ assesses the perceived emotional impact and ‘My Body’ the impact of extra-pulmonary symptoms and side effects.

scholarly journals Validation of subscales of the Severe Asthma Questionnaire (SAQ) using exploratory factor analysis (EFA)

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Joseph W. Lanario ◽  
Michael E. Hyland ◽  
Andrew Menzies-Gow ◽  
Adel H. Mansur ◽  
James W. Dodd ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Severe Asthma ◽  
Best Practice ◽  
Mean Value ◽  
Emotional Impact ◽  
Global Rating ◽  
Hrqol Questionnaire ◽  
Oblimin Rotation ◽  
The Impact

Abstract Background The Severe Asthma Questionnaire (SAQ) is a health related quality of life (HRQoL) questionnaire validated for use in severe asthma. It is scored using the mean value of 16 items (SAQ score) in addition to a single item global rating of HRQoL (SAQ-global). The aim was to validate clinically relevant subscales using exploratory factor analysis (EFA). Methods The SAQ was completed, along with measures of asthma control and EQ5D-5L by patients attending six UK severe asthma centres. Clinical data were included in the analysis. EFA using principal axis factoring and oblimin rotation was used to achieve simple structure of data. Results 460 patients with severe asthma participated, 65% women, mean age 51 (16–83) years. A three factor solution achieved best fit and showed that the SAQ items formed three distinct but inter-correlated groups of items where items were grouped in a way that was consistent with item content. The three subscales were differentially associated with clinically relevant variables (lung function and mood). Males and females interpreted the question of night disturbance in different ways. Conclusions This paper provides a template for best practice in the use of EFA when validating HRQoL subscales. The SAQ can be scored as three subscales with content reflecting three different constructs people with severe asthma use when making judgements about their lives. The subscale ‘My Life’ assesses the impact of severe asthma on different life activities, ‘My Mind’ assesses the perceived emotional impact and ‘My Body’ the impact of extra-pulmonary symptoms and side effects.

scholarly journals Validation of Subscales of the Severe Asthma Questionnaire (SAQ) Using Exploratory Factor Analysis (EFA)

2020 ◽  
Author(s):  
Joseph W. Lanario ◽  
Michael Hyland ◽  
Andrew Menzies-Gow ◽  
Adel H Mansur ◽  
James W. Dodd ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Severe Asthma ◽  
Best Practice ◽  
Mean Value ◽  
Emotional Impact ◽  
Global Rating ◽  
Hrqol Questionnaire ◽  
The Impact ◽  
Best Fit

Abstract BackgroundThe Severe Asthma Questionnaire (SAQ) is a health related quality of life (HRQoL) questionnaire validated for use in severe asthma. It is scored using the mean value of 16 items (SAQ score) in addition to a single item global rating of HRQoL (SAQ-global). The aim was to validate clinically relevant subscales by following best practice guidelines of exploratory factor analysis (EFA).MethodsThe SAQ was completed, along with measures of asthma control and EQ5D-5L by patients attending six UK severe asthma centres. Clinical data were included in the analysis. EFA using principal axis factoring and promax rotation was used to achieve best fit to data. Results460 patients participated, 65% women, mean age 51 (16-83) yrs. A three factor solution achieved best fit and showed that the SAQ items formed three distinct but inter-correlated groups of items where items were grouped in a way that was consistent with item content. The three subscales were differentially associated with clinically relevant variables (lung function and mood). Males and females interpreted the question of night disturbance in different ways.ConclusionsThe 16 items of the SAQ can be scored as a single overall score or as three subscales with content reflecting three different constructs people with severe asthma use when making judgements about their lives. The subscale ‘My Life’ assesses the impact of severe asthma on different life activities, ‘My Mind’ assesses the perceived emotional impact and ‘My Body’ the impact of extra-pulmonary symptoms and side effects.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

scholarly journals Psychometric evaluation and cultural adaptation of the Spanish version of the “Scale for End-of Life Caregiving Appraisal”

2018 ◽  
Vol 17 (03) ◽  
pp. 314-321
Author(s):  
José Manuel Hernández-Padilla ◽  
Matías Correa-Casado ◽  
José Granero-Molina ◽  
Alda Elena Cortés-Rodríguez ◽  
Tamara María Matarín-Jiménez ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
End Of Life ◽  
Exploratory Factor Analysis ◽  
Content Validity ◽  
Criterion Validity ◽  
Spanish Version ◽  
Validity Index ◽  
Content Validity Index ◽  
The Impact

AbstractObjectiveTo translate, culturally adapt, and psychometrically evaluate the Spanish version of the “Scale for End-of Life Caregiving Appraisal” (SEOLCAS).MethodObservational cross-sectional study. Convenience sample of 201 informal end-of-life caregivers recruited in a southern Spanish hospital. The reliability of the questionnaire was assessed through its internal consistency (Cronbach's α) and temporal stability (Pearson's correlation coefficient [r] between test-retest). The content validity index of the items and the scale was calculated. Criterion validity was explored through performing a linear regression analysis to evaluate the SEOLCAS’ predictive validity. Exploratory factor analysis was used to examine its construct validity.ResultsThe SEOLCAS’ reliability was very high (Cronbach's α = 0.92). Its content validity was excellent (all items’ content validity index = 0.8–1; scale's validity index = 0.88). Evidence of the SEOLCAS’ criterion validity showed that the participants’ scores on the SEOLCAS explained approximately 79.3% of the between-subject variation of their results on the Zarit Burden Interview. Exploratory factor analysis provided evidence of the SEOLCAS’ construct validity. This analysis revealed that two factors (“internal contingencies” and “external contingencies”) explained 53.77% of the total variance found and reflected the stoic Hispanic attitude toward adversity.Significance of resultsThe Spanish version of the SEOLCAS has shown to be an easily applicable, valid, reliable, and culturally appropriate tool to measure the impact of end-of-life care provision on Hispanic informal caregivers. This tool offers healthcare professionals the opportunity to easily explore Hispanic informal end-of-life caregivers’ experiences and discover the type of support they may need (instrumental or emotional) even when there are communicational and organizational constraints.

scholarly journals Likert scale and change in range of response categories vs. the factors extraction in EFA model

2015 ◽  
Vol 1 (311) ◽  
Author(s):  
Piotr Tarka
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Rating Scale ◽  
Likert Scale ◽  
Optimal Number ◽  
Number Of Factors ◽  
Scale Experiment ◽  
Methodological Aspects ◽  
The Impact ◽  
Selection Of

Abstract: The objective article is the comparative analysis of Likert rating scale based on the following range of response categories, i.e. 5, 7, 9 and 11 in context of the appropriate process of factors extraction in exploratory factor analysis (EFA). The problem which is being addressed in article relates primarily to the methodological aspects, both in selection of the optimal number of response categories of the measured items (constituting the Likert scale) and identification of possible changes, differences or similarities associated (as a result of the impact of four types of scales) with extraction and determination the appropriate number of factors in EFA model.Keywords: Exploratory factor analysis, Likert scale, experiment research, marketing

Factors Affecting Perceived Effectiveness of Local E-Government in Egypt

2012 ◽  
Vol 4 (1) ◽  
pp. 24-38 ◽  
Author(s):  
Hisham M. Abdelsalam ◽  
Christopher G. Reddick ◽  
Hatem A. ElKadi ◽  
Sara Gama
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Local Governments ◽  
Regression Models ◽  
Security And Privacy ◽  
Perceived Effectiveness ◽  
Factors Affecting ◽  
Government Effectiveness ◽  
Management Capacity ◽  
The Impact

An important area of e-government research is how different stakeholders perceive the impact and the use of e-government systems on the different channels of governmental services. The objective of this article is to examine the perceived effectiveness of local e-government systems through a survey of directors in different Egyptian cities. The approach to accomplish this objective is to conduct exploratory factor analysis and regression analysis to determine what factors explain e-government effectiveness. This research adopts a model that uses the citizen-initiated contacts with government literature as a way for understanding e-government effectiveness. Results of an exploratory factor analysis reveal that e-government effectiveness is explained by management capacity, security and privacy, and collaboration. These factors were then analyzed through regression models that indicated that management capacity and security and privacy influenced e-government effectiveness. However, there was no evidence that collaboration had a statistically significant impact on e-government effectiveness. This paper fits into the theme of the special issue since it suggests strategies to better design e-government technology for local governments in Egypt through changes in security, privacy, and management capacity.

Measuring the Meaning of Miscarriage: Revision of the Impact of Miscarriage Scale

2014 ◽  
Vol 22 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Carolyn S. Huffman ◽  
Kristen Swanson ◽  
Mary R. Lynn
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Phenomenological Study ◽  
Original Structure ◽  
Factor Solution ◽  
Confirmatory Factor ◽  
The Impact

Background and Purpose: The purpose of this study was to determine a factor structure for the Impact of Miscarriage Scale (IMS). The 24 items comprising the IMS were originally derived from a phenomenological study of miscarriage in women. Initial psychometric properties were established based on a sample of 188 women (Swanson, 1999a). Method: Data from 341 couples were subjected to confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Results: CFA did not confirm the original structure. EFA explained 57% of the variance through an 18-item, 4-factor structure: isolation and guilt, loss of baby, devastating event, and adjustment. Except for the Adjustment subscale, Cronbach’s alpha coefficients were ≥.78. Conclusion: Although a 3-factor solution is most defensible, with further refinement and additional items, the 4th factor (adjustment) may warrant retention.

scholarly journals Influence of sociodemographic characteristics on different dimensions of household food insecurity in Montevideo, Uruguay

2016 ◽  
Vol 20 (4) ◽  
pp. 620-629 ◽  
Author(s):  
Máximo Rossi ◽  
Zuleika Ferre ◽  
María Rosa Curutchet ◽  
Ana Giménez ◽  
Gastón Ares
Keyword(s):  
Factor Analysis ◽  
Food Insecurity ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Latin American ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Sociodemographic Characteristics ◽  
Household Food ◽  
The Impact

AbstractObjectiveTo determine the factor structure of the Latin American & Caribbean Household Food Security Scale (ELCSA) and to study the influence of sociodemographic characteristics on each of the identified dimensions in Montevideo, Uruguay.DesignCross-sectional survey with a representative sample of urban households. Household food insecurity was measured using the ELCSA. The percentage of respondents who gave affirmative responses for each of the items of the ELCSA was determined. Exploratory factor analysis was carried out to determine the ELCSA’s factor structure. A probit model was used to determine the impact of some individual and household sociodemographic characteristics on the identified dimensions of food insecurity.SettingMetropolitan area centred on Montevideo, the capital city of Uruguay, April–September 2014.SubjectsAdults aged between 18 and 93 years (n 742).ResultsThe percentage of affirmative responses to the items of the ELCSA ranged from 4·4 to 31·7 %. Two factors were identified in the exploratory factor analysis performed on data from households without children under 18 years old, whereas three factors were identified for households with children. The identified factors were associated with different severity levels of food insecurity. Likelihood of experiencing different levels of food insecurity was affected by individual characteristics of the respondent as well as characteristics of the household.ConclusionsThe influence of sociodemographic variables varied among the ELCSA dimensions. Household income had the largest influence on all dimensions, which indicates a strong relationship between income and food insecurity.

scholarly journals A Model Of The Underlying Philosophy And Criteria For Effective Implementation Of Performance Management

2006 ◽  
Vol 4 (1) ◽  
Author(s):  
C. M. Whitford ◽  
W. J. Coetsee
Keyword(s):  
Factor Analysis ◽  
Performance Management ◽  
Exploratory Factor Analysis ◽  
Best Practice ◽  
Three Dimensions ◽  
Convenience Sample ◽  
Effective Implementation

The objective of this study was to develop a model that assists organisations in implementing performance management effectively. A model describing the philosophical paradigm underpinning best practice in performance management and the criteria for effective implementation of performance management was developed. The sample used in this study was a convenience sample of 615 employees. Exploratory factor analysis revealed three reliable philosophical dimensions. Moderate correlations were found between the three dimensions and some of the implementation criteria.

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