Three‐factor structure of the eHealth Literacy Scale and its relationship with nurses' health‐promoting behaviours and performance quality

BACKGROUND Electronic health (eHealth) literacy is needed to effectively engage with Web-based health resources. The 8-item eHealth literacy scale (eHEALS) is a commonly used self-report measure of eHealth literacy. Accumulated evidence has suggested that the eHEALS is unidimensional. However, a recent study by Sudbury-Riley and colleagues suggested that a theoretically-informed three-factor model fit better than a one-factor model. The 3 factors identified were awareness (2 items), skills (3 items), and evaluate (3 items). It is important to determine whether these findings can be replicated in other populations. OBJECTIVE The aim of this cross-sectional study was to verify the three-factor eHEALS structure among magnetic resonance imaging (MRI) and computed tomography (CT) medical imaging outpatients. METHODS MRI and CT outpatients were recruited consecutively in the waiting room of one major public hospital. Participants self-completed a touchscreen computer survey, assessing their sociodemographic, scan, and internet use characteristics. The eHEALS was administered to internet users, and the three-factor structure was tested using structural equation modeling. RESULTS Of 405 invited patients, 87.4% (354/405) were interested in participating in the study, and of these, 75.7% (268/354) were eligible. Of the eligible participants, 95.5% (256/268) completed all eHEALS items. Factor loadings were 0.80 to 0.94 and statistically significant (P<.001). All reliability measures were acceptable (indicator reliability: awareness=.71-.89, skills=.78-.80, evaluate=.64-.79; composite reliability: awareness=.89, skills=.92, evaluate=.89; variance extracted estimates: awareness=.80, skills=.79, evaluate=.72). Two out of three goodness-of-fit indices were adequate (standardized root mean square residual (SRMR)=.038; comparative fit index (CFI)=.944; root mean square error of approximation (RMSEA)=.156). Item 3 was removed because of its significant correlation with item 2 (Lagrange multiplier [LM] estimate 104.02; P<.001) and high loading on 2 factors (LM estimate 91.11; P<.001). All 3 indices of the resulting 7-item model indicated goodness of fit (χ211=11.3; SRMR=.013; CFI=.999; RMSEA=.011). CONCLUSIONS The three-factor eHEALS structure was supported in this sample of MRI and CT medical imaging outpatients. Although further factorial validation studies are needed, these 3 scale factors may be used to identify individuals who could benefit from interventions to improve eHealth literacy awareness, skill, and evaluation competencies.

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Music Students' Health Problems and Health-promoting Behaviours

Medical Problems of Performing Artists ◽

10.21091/mppa.2008.1002 ◽

2008 ◽

Vol 23 (1) ◽

pp. 3-11

Author(s):

Gunter Kreutz ◽

Jane Ginsborg ◽

Aaron Williamon

Keyword(s):

Music Performance ◽

Health Problems ◽

Music Students ◽

Data Sets ◽

Performance Quality ◽

Study Results ◽

Health Promoting ◽

Reported Health ◽

And Performance ◽

The Uk

The reported health problems of music performance students at two conservatoires in the UK were investigated, with specific attention to musculoskeletal and nonmusculoskeletal problems in relation to the students' instrumental specialty and their health-promoting behaviours. Students from the Royal Northern College of Music (n = 199) and the Royal College of Music (n = 74) were surveyed using server-based inventories over the internet. They provided 246 usable data sets for this study. Results reveal that musculoskeletal pain as well as nonmusculoskeletal problems were common among students, affecting about half of the sample, with similar patterns between groups of instruments. Regression analysis showed that musculoskeletal and nonmusculoskeletal symptoms reliably predicted perceived practice and performance quality, such that fewer symptoms predicted better quality; the strongest predictors were pain along the spine and fatigue. These results suggest that significant proportions of health problems among music performance students emerge from general dispositions, such as posture and fatigue, and thus are not specific to the instrument played. Healthy lifestyles appear not to affect perceived practice and performance quality.

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Three-Factor Structure of the eHealth Literacy Scale Among Magnetic Resonance Imaging and Computed Tomography Outpatients: A Confirmatory Factor Analysis

JMIR Human Factors ◽

10.2196/humanfactors.9039 ◽

2018 ◽

Vol 5 (1) ◽

pp. e6 ◽

Cited By ~ 21

Author(s):

Lisa L Hyde ◽

Allison W Boyes ◽

Tiffany-Jane Evans ◽

Lisa J Mackenzie ◽

Rob Sanson-Fisher

Keyword(s):

Magnetic Resonance Imaging ◽

Computed Tomography ◽

Factor Analysis ◽

Magnetic Resonance ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Resonance Imaging ◽

Ehealth Literacy ◽

Confirmatory Factor ◽

Three Factor

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European Differences in Self-Perceived Multiple Intelligences

European Psychologist ◽

10.1027//1016-9040.4.3.131 ◽

1999 ◽

Vol 4 (3) ◽

pp. 131-138 ◽

Cited By ~ 39

Author(s):

Adrian Furnham ◽

Tim Rakow ◽

Ivan Sarmany-Schuller ◽

Filip De Fruyt

Keyword(s):

Sex Differences ◽

Multiple Intelligences ◽

Factor Structure ◽

Factor Analyses ◽

Verbal Iq ◽

Sex Effects ◽

Iq Scores ◽

Culture Differences ◽

Three Factor

In this study, 140 Belgian, 227 British, and 177 Slovakian students estimated their own multiple IQ scores as well as that of their parents (mother and father) and siblings (first and second brother and sister). Various factor analyses yielded a clear three-factor structure replicating previous studies. A sex × culture ANOVA on self-ratings of three factors that underline the seven intelligences (verbal, numerical, cultural) showed culture and sex effects as well as interactions. As predicted, males rated their own overall IQ, though not that of their parents or siblings, higher than females did. Males also rated their numerical IQ, but not their verbal or cultural IQ, higher than females did. There were few culture differences but many interactions, nearly all caused by Slovakian females, who rated aspects of their own and their fathers' IQ higher than Slovakian males, while the pattern for the Belgians was precisely the opposite. Participants believed their verbal IQ was higher than their numerical IQ and their cultural IQ. Males believed their verbal and numerical IQ score to be fairly similar, though much higher than their cultural IQ, while females believed their verbal IQ the highest, followed by numerical and cultural IQ. Females also believed they were more intelligent than both parents. Overall results showed consistency in the sex differences in ratings across cultures but differences in level of estimated IQ possibly as a result of cultural demands for modesty.

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Development and Validation of the Ableist Microaggression Impact Questionnaire

Rehabilitation Counseling Bulletin ◽

10.1177/00343552211014259 ◽

2021 ◽

pp. 003435522110142

Author(s):

Deniz Aydemir-Döke ◽

James T. Herbert

Keyword(s):

Factor Analysis ◽

Factor Structure ◽

Internal Consistency ◽

Internal Consistency Reliability ◽

Mechanical Turk ◽

Rehabilitation Counselor ◽

Research And Practice ◽

Amazon's Mechanical Turk ◽

Development And Validation ◽

Three Factor

Microaggressions are daily insults to minority individuals such as people with disabilities (PWD) that communicate messages of exclusion, inferiority, and abnormality. In this study, we developed a new scale, the Ableist Microaggressions Impact Questionnaire (AMIQ), which assesses ableist microaggression experiences of PWD. Data from 245 PWD were collected using Amazon’s Mechanical Turk (MTurk) platform. An exploratory factor analysis of the 25-item AMIQ revealed a three-factor structure with internal consistency reliability ranging between .87 and .92. As a more economical and psychometrically sound instrument assessing microaggression impact as it pertains to disability, the AMIQ offers promise for rehabilitation counselor research and practice.

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Components of Source “Image”: Hong Kong, Brazil, North America

Journalism Quarterly ◽

10.1177/107769906904600212 ◽

1969 ◽

Vol 46 (2) ◽

pp. 306-313 ◽

Cited By ~ 2

Author(s):

James B. Lemert

Keyword(s):

Hong Kong ◽

North America ◽

Factor Structure ◽

Cross Cultural ◽

Source Image ◽

The Cross ◽

Three Factor

Evidence of three kinds is given for the cross-cultural generality of a three-factor structure of source image: Safety, Dynamism and Qualification, which emerges across sources, scales, cultures, instructions and situations.

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THE LEVENSON LOCUS OF CONTROL SCALES: CONFIRMATORY FACTOR ANALYSES AND EVALUATION

Social Behavior and Personality An International Journal ◽

10.2224/sbp.1997.25.1.93 ◽

1997 ◽

Vol 25 (1) ◽

pp. 93-103 ◽

Cited By ~ 29

Author(s):

Paul K. Presson ◽

Steven C. Clark ◽

Victor A. Benassi

Keyword(s):

Locus Of Control ◽

Factor Structure ◽

Depressive Symptomatology ◽

Predictive Ability ◽

Factor Models ◽

Factor Analyses ◽

Confirmatory Factor Analyses ◽

Confirmatory Factor ◽

Three Factor

Confirmatory factor analyses were conducted to test the factor structure of several versions of Levenson's (1973) locus of control scales. Two- and three-factor models based on all 24 of Levenson's items and on 20 of her items were tested. The 3-factor models provided a good fit. Models proposed by R. M. Shewchuk, G. A. Foelker Jr., and G. Niederehe (1990) and R. M. Shewchuk, G. A Foelker Jr., C. J. Camp, and F. Blanchard-Fields (1992) also provided a good fit of the data. In concurrent and prospective tests of the predictive ability of the various models, the 24 and 20 item versions of Levenson's models accounted for a significant amount of variance In depressive symptomatology. The three-factor models revealed that only scores on the chance scale reliably predicted time 2 depressive symptomatology. Neither of the models proposed by Shewchuk and colleagues accounted for a significant amount of variance.

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Exploring the dimensionality of the TRIM-18 in the Spanish context

Anales de Psicología ◽

10.6018/analesps.33.2.264461 ◽

2017 ◽

Vol 33 (3) ◽

pp. 548 ◽

Cited By ~ 6

Author(s):

Maria Fernández-Capo ◽

Silvia Recoder ◽

Juana Gómez-Benito ◽

María Gámiz ◽

Pilar Gual ◽

...

Keyword(s):

Psychometric Properties ◽

Factor Structure ◽

Spanish Population ◽

Factor Analyses ◽

Validity And Reliability ◽

Confirmatory Factor Analyses ◽

Reliability Method ◽

Confirmatory Factor ◽

Potential Use ◽

Three Factor

Introduction: The Transgression-Related Interpersonal Motivation (TRIM-18) Inventory is an instrument that assesses episodic forgiveness. This scale is composed of three subscales: avoidance, revenge and benevolence. The present study examined the dimensionality of the Spanish version of the TRIM-18 (TRIM-18-S) and provided evidence of validity and reliability. Method: A total of 943 participants completed the TRIM-18-S. A subset of 277 participants completed additional measures of empathy, anger, and information regarding the relation with the offender. Results: The TRIM-18-S showed good psychometric properties, and confirmatory factor analyses revealed a three-factor structure. Conclusions: The scale presents adequate psychometric properties for its potential use in a Spanish population.

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