scholarly journals Identification of the underlying factor structure of the Derriford Appearance Scale 24

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1070 ◽  
Author(s):  
Timothy P. Moss ◽  
Victoria Lawson ◽  
Paul White ◽  
Keyword(s):  
Factor Structure ◽  
Underlying Factor

Validity and reliability of the Self-administered-Psycho-TherApy-SystemS (SELFPASS) depression and anxiety self-assessment item pool: a cross-sectional online survey (Preprint)

2021 ◽  
Author(s):  
Gwendolyn Mayer ◽  
Svenja Hummel ◽  
Nadine Gronewold ◽  
Oetjen Neele ◽  
Thomas Hilbel ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Healthy Subjects ◽  
Criterion Validity ◽  
Depression And Anxiety ◽  
Item Pool ◽  
Validity And Reliability ◽  
Self Assessment ◽  
Underlying Factor

BACKGROUND E-mental-health applications targeting at depression and anxiety have gained increased attention in mental health care. Daily self-assessment is an essential part of e-mental-health apps. The app SELFPASS (Self-administered-Psycho-TherApy-SystemS) is a self-management app to manage depressive and anxious symptoms. A self-developed item pool with 40 depression items and 12 anxiety items is included to provide symptom specific suggestions for interventions. However, the psychometric properties of the item pool have not yet been tested. OBJECTIVE The aim of this study is to investigate the validity and reliability of the SELFPASS item pool that has been developed for an internet-based daily self-assessment of depressive and anxious symptoms. METHODS An online link with the SELFPASS item pool and validated mood assessment scales were distributed to healthy subjects and patients who had received a diagnosis of a depressive disorder within the last year. Two scores were derived from the SELFPASS item pool: SELFPASS depression (SP-D) and SELFPASS anxiety (SP-A). The reliability was examined using Cronbach’s α. The construct validity was assessed via Pearson correlations with the Patients Health Questionnaire-9 (PHQ-9), the General Anxiety Disorder Scale-7 (GAD-7) and the WHO-5-Wellbeing-Scale (WHO-5). A logistic regression was performed as an indicator for concurrent criterion validity of SP-D and SP-A. A factor analysis provides information about the underlying factor structure of the item pool. Item-scale-correlations were calculated in order to determine item quality. RESULTS A total of n=284 participants were included, with n=192 (67.6%) healthy subjects and n=92 (32.4%) patients. Cronbach’s α was α=0.94 for SP-D and α=0.88 for SP-A. We found significant positive correlations of SP-D and PHQ-9 (r=0.87, P<.001), SP-A and GAD-7 (r=0.80, P<.001), and negative correlations of SP-D and WHO-5 (r=-0.80, P<.001) and SP A and WHO-5 (r=-.69, P<.001). Increasing scores of SP-D and SP-A led to increased odds of belonging to the patient group (SP-D: OR=1.03 (1.01 – 1.05), P<.001; SP-A: 1.05 (1.05 – 1.01), P=.01). The item pool showed two factors with one that consisted of mood-related items and another factor with somatic-related items. CONCLUSIONS The SELFPASS item pool showed good psychometric properties in terms of reliability, construct and criterion validity. However, the underlying factor structure could not be reduced to the two diagnostic categories depression and anxiety, but to a more mood related and a rather somatic factor. Few items should be replaced for future use.

Blended Learning

2021 ◽  
pp. 227-249
Author(s):  
Suchandra Datta ◽  
Soumili Dey ◽  
Anal Acharya ◽  
Debabrata Datta
Keyword(s):  
Factor Structure ◽  
New Technologies ◽  
Learning Preferences ◽  
Traditional Learning ◽  
Statistical Techniques ◽  
Learning Method ◽  
Advantages And Disadvantages ◽  
Underlying Factor ◽  
E Learning ◽  
Student’S Attitude

Evolution of new technologies introduces new methods by which students can gain knowledge and professors can impart it. Each learning method offers its own distinctive advantages and disadvantages which affect students having different learning preferences and temperaments in different ways. The study aims to investigate student's attitude towards two modes of learning, namely traditional learning and e-learning and uncover the underlying factor structure governing student appraisal of such systems. The aspects of each type of learning that are attractive to students are shown. Further, the two modes of learning are compared using different statistical techniques, and the findings are used to decide whether a mixture of traditional and e-learning is indeed the way ahead.

Helping Orientations: Four Dimensions

1989 ◽  
Vol 69 (3_suppl) ◽  
pp. 1371-1378 ◽  
Author(s):  
Joseph F. Michlitsch ◽  
Stanley Frankel
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Helping Behavior ◽  
Higher Order ◽  
Convenience Sample ◽  
Four Dimensions ◽  
Underlying Factor ◽  
Target Sample ◽  
Order Factor ◽  
And Coping

The underlying factor structure of four helping and coping orientations was investigated. The four orientations are the foundations of four models of helping and coping. Each model consists of a person's orientations toward helping behavior and the set of likely factors and behaviors related to the orientations. The orientations are believed to influence how a person interacts with others in a helping situation and how that person attempts to help himself (cope). Factor analysis in two studies supports the prediction of four helping orientations across a convenience and a target sample. Secondary, higher-order factor analysis further provides support based on the convenience sample, but not the target sample.

Underlying Factor Structure of Schein’s Career Anchor Model

2013 ◽  
Vol 21 (3) ◽  
pp. 430-451 ◽  
Author(s):  
W. Brent Barclay ◽  
Jared R. Chapman ◽  
Bruce L. Brown
Keyword(s):  
Factor Structure ◽  
Underlying Factor ◽  
Career Anchor

scholarly journals Aggression Amongst Outpatients With Schizophrenia and Related Psychoses in a Tertiary Mental Health Institution

2022 ◽  
Vol 12 ◽  
Author(s):  
Anitha Jeyagurunathan ◽  
Jue Hua Lau ◽  
Edimansyah Abdin ◽  
Saleha Shafie ◽  
Sherilyn Chang ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Factor Structure ◽  
Physical Aggression ◽  
Symptom Severity ◽  
Age Of Onset ◽  
Asian Population ◽  
Clinical Correlates ◽  
Underlying Factor ◽  
Psychological Harm ◽  
Order Four

Aims: Aggression is defined as “any behavior intended to cause physical, emotional, or psychological harm to another.” The aims of the current study were to (i) examine underlying factor structure of the Buss-Perry Aggression Questionnaire (BPAQ) and (ii) explore socio-demographic and clinical correlates (symptom severity, substance use and alcohol use) among patients with schizophrenia and related psychoses in a multi-ethnic Asian population.Methods: Data collected from 397 participants who were seeking outpatient treatment for schizophrenia and related psychoses at a tertiary psychiatric hospital were included in the analyses. BPAQ, a 29-item, four-factor instrument that measures physical aggression, verbal aggression, anger and hostility was used to assess aggression. Data on socio-demographic variables, age of onset of illness, drug use, alcohol use and symptom severity were also collected. Confirmatory factor analysis (CFA) was performed to establish the underlying factor structure of the BPAQ. Multiple regression analyses were utilized to examine socio-demographic and clinical correlates of the BPAQ factors.Results: The mean age of the participants was 36.2 years (SD = 10.9, range: 21–65). Factor structure obtained from the CFA indicated that a higher order four-factor solution had an acceptable fit to the observed data (WLSMV χ2 = 1,025.35, df = 320, RMSEA = 0.07, CFI = 0.94, TLI = 0.93, SRMR = 0.05). Females had lower physical aggression and hostility scores as compared to males. Those with lower education had higher physical aggression scores as compared to those with higher education. Participants who received a diagnosis after the age of 30 years had higher physical aggression and anger scores as compared to those who received a diagnosis at or before 20 years of age. Symptom severity was positively associated with higher BPAQ scores.Conclusion: The study findings demonstrated high internal consistency and applicable measurement factor structure of BPAQ in this study sample, making it an appropriate questionnaire for assessing aggressive behavior in this population. We also identified socio-demographic and clinical factors that were associated with aggression in patients with schizophrenia and related psychoses.

Factors Affecting WiFi Use Intention

2012 ◽  
pp. 1760-1781
Author(s):  
Despo Ktoridou ◽  
Hans-Ruediger Kaufmann ◽  
Christos Liassides
Keyword(s):  
Wireless Communications ◽  
Factor Structure ◽  
Quantitative Study ◽  
Factors Affecting ◽  
Underlying Factor ◽  
The Past ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
Number Of Individuals ◽  
The Web

Wireless communications are here to stay; nevertheless, a number of individuals are still reluctant to use them for accessing the Web. This urges providers to better understand the concerns of consumers in order to better position the products and services in the market and to reduce the barriers that consumers may have in using WiFi – Wireless Fidelity Internet technologies. The present quantitative study was carried out for the purpose of assessing the effect of a number of constructs, identified in the past to affect the use of IT and WiFi use intention, as well as identifying the underlying factor structure of these constructs. It further aimed to assessing the overall attitudes and behavior of consumers towards WiFi use, as well as identifying and comparing WiFi users and non-users’ overall behavior towards WiFi use and their perceptions of factors determining WiFi adoption.

Helping Orientations: Four Dimensions,

1989 ◽  
Vol 69 (3-2) ◽  
pp. 1371-1378
Author(s):  
Joseph F. Michlitsch ◽  
Stanley Frankel
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Helping Behavior ◽  
Higher Order ◽  
Convenience Sample ◽  
Four Dimensions ◽  
Underlying Factor ◽  
Target Sample ◽  
Order Factor ◽  
And Coping

The underlying factor structure of four helping and coping orientations was investigated. The four orientations are the foundations of four models of helping and coping. Each model consists of a person's orientations toward helping behavior and the set of likely factors and behaviors related to the orientations. The orientations are believed to influence how a person interacts with others in a helping situation and how that person attempts to help himself (cope). Factor analysis in two studies supports the prediction of four helping orientations across a convenience and a target sample. Secondary, higher-order factor analysis further provides support based on the convenience sample, but not the target sample.

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