Workplace Mediation: An Irish Study

Kenny, Treasa

doi:10.2139/ssrn.3779932

Cited by 5 publications

(9 citation statements)

References 33 publications

(10 reference statements)

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“… e N/A: not applicable. For age, sex, education and language, not applicable is due to inconsistent mediation, total effect less than ±0.2, or lack of indirect effect [ 89 ]; for information and communication technology use (device), not applicable is due to the fact that it is treated as the mediator. f Sex code: 0=male and 1=female.…”

Section: Resultsmentioning

confidence: 99%

“…Although a significant total effect was found for the scale 5. Motivated to engage with digital services , the estimate was –0.12, which was less than ±0.2 and was considered a too small effect [ 89 ] and therefore ignorable. It was also noted that the mediating effect of ICT use was 0 or close to 0 for all 7 latent variables.…”

Section: Resultsmentioning

confidence: 99%

“…If mediation proportion is at least 0.8, complete mediation can be claimed. As it was cautioned that statistical significance was sensitive to sample size and the effects should not be evaluated simply based on statistical significance, the significant group differences were further investigated by examining the size of the effect estimates to determine if the effects were practically significant or could be ignored because the size of the effect would have no appreciable bearing on the interpretation of group differences [ 89 ].…”

Section: Methodsmentioning

confidence: 99%

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Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Cheng¹,

Elsworth²,

Osborne³

2021

J Med Internet Res

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Background As health resources and services are increasingly delivered through digital platforms, eHealth literacy is becoming a set of essential capabilities to improve consumer health in the digital era. To understand eHealth literacy needs, a meaningful measure is required. Strong initial evidence for the reliability and construct validity of inferences drawn from the eHealth Literacy Questionnaire (eHLQ) was obtained during its development in Denmark, but validity testing for varying purposes is an ongoing and cumulative process. Objective This study aims to examine validity evidence based on relations to other variables—using data collected with the known-groups approach—to further explore if the eHLQ is a robust tool to understand eHealth literacy needs in different contexts. A priori hypotheses are set for the expected score differences among age, sex, education, and information and communication technology (ICT) use for each of the 7 eHealth literacy constructs represented by the 7 eHLQ scales. Methods A Bayesian mediated multiple indicators multiple causes model approach was used to simultaneously identify group differences and test measurement invariance through differential item functioning across the groups, with ICT use as a mediator. A sample size of 500 participants was estimated. Data were collected at 3 diverse health sites in Australia. Results Responses from 525 participants were included for analysis. Being older was significantly related to lower scores in 4 eHLQ scales, with 3. Ability to actively engage with digital services having the strongest effect (total effect –0.37; P<.001), followed by 1. Using technology to process health information (total effect –0.32; P<.001), 5. Motivated to engage with digital services (total effect –0.21; P=.01), and 7. Digital services that suit individual needs (total effect –0.21; P=.02). However, the effects were only partially mediated by ICT use. Higher education was associated with higher scores in 1. Using technology to process health information (total effect 0.22; P=.01) and 3. Ability to actively engage with digital services (total effect 0.25; P<.001), with the effects mostly mediated by ICT use. Higher ICT use was related to higher scores in all scales except 2. Understanding health concepts and language and 4. Feel safe and in control. Either no or ignorable cases of differential item functioning were found across the 4 groups. Conclusions By using a Bayesian mediated multiple indicators multiple causes model, this study provides supportive validity evidence for the eHLQ based on relations to other variables as well as established evidence regarding internal structure related to measurement invariance across the groups for the 7 scales in the Australian community health context. This study also demonstrates that the eHLQ can be used to gain valuable insights into people’s eHealth literacy needs to help optimize access and use of digital health and promote health equity.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Cheng¹,

Elsworth²,

Osborne³

2021

J Med Internet Res

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“…The mediation effect of self-efficacy on the influence of the anticipated emotions of other people (AEOP) on achievement goals is visualized in Figure 1. To test the mediating effect, the author used the three traditional equations specified by Kenny (2018). For the simple mediation, the equations were:…”

Section: Mediation Effect Previewmentioning

confidence: 99%

“…As displayed in Tabel 7, the direct effect was not significant (c' = -0.175, t = -1.052, α = 0.296). Therefore, the indirect effect was deter-Source: Kenny, D.A. (2018).…”

Section: Testing Hypothesismentioning

confidence: 99%

How Proponents and Opponents Influence Achievement Motivation: The Role of the Anticipated Emotions of Other People

Simamora

2021

GADJAH MADA INT. J. BUS.

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There are countless studies about the influence of other people’s emotions on individuals' behavior. However, the influence of proponents' and opponents' future emotions on achievement motivation remains unclear. This study aims to fill this gap. Therefore, departing from the emotional intelligence theory, the author materializes the anticipated emotions of other people concept and tests it using a static group experimental design with success and failure scenarios, involving 203 participants chosen judgmentally. When reminded of the proponents' joyfulness caused by their success, the Mann-Whitney U test with normal approximation, supported by the Monte Carlo estimation, shows that the mastery-avoidance, performance-approach, and performance-avoidance goals of the experimental group are enhanced. Whereas, when reminded that they would be envied and make the opponents feel distressed, the performance-approach goals are improved. In the failure scenario, when the participants were directed to the proponents' distress, as a response to their failure, the four components of the achievement goals are increased: mastery-approach, mastery-avoidance, performance-approach, and performance-avoidance. However, the opponents' joyfulness, anticipated as a malicious schadenfreude to the participants' failure, is only successful in stimulating the performance-avoidance goals. A Bayesian estimate with 5,000 times bootstrapping reveals that self-efficacy mediates the influence of the proponents' anticipated joyfulness on the mastery-approach fully, and on the performance-approach goals in a complementary way. Complementary mediation is also apparent in the impact of the proponents' distress on the mastery-approach and mastery-avoidance goals. Above all, love for the proponents is more potent than hatred from social environments for increasing the achievement motivation. Further research is encouraged to replicate this study with different social behavior.

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Associations of depression and diabetes distress with self-management behavior and glycemic control.

et al. 2021

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Objective: To analyze the independent associations of depression and diabetes distress with self-management and glycemic outcome in Type I (T1DM) and Type 2 diabetes (T2DM). Method: Six hundred six people with T1DM or T2DM participated in a cross-sectional survey including measures of depression (PHQ-9), diabetes distress (PAID-5), self-management behavior (DSMQ), and glycemic outcome (HbA1c). Structural equation modeling was performed to analyze the independent linear associations (standardized coefficients) between these variables. Results: In those with T1DM (n = 339), both depressive symptoms and diabetes distress were associated with lower self-management (−0.34, p < .001, and −0.16, p = .007, respectively) and thereover (indirectly) with higher HbA1c (0.20, p < .001, and 0.10, p = .016, respectively); direct associations with HbA1c were not observed. In those with T2DM (n = 267), only depressive symptoms were associated with lower self-management (−0.41, p < .001) and thus (indirectly) with higher HbA1c (0.17, p < .001). Diabetes distress, by contrast, was directly associated with higher HbA1c (0.20, p = .003) but not with self-management. Conclusions: The results are consistent with the hypothesis that depression is linked to less optimal diabetes self-management, thus leading to less optimal glycemic outcome. The associations were relatively consistent across diabetes types. Diabetes distress was additionally associated with higher glycemic levels, suggesting that people with both depression and diabetes distress might have the least optimal outcome. The conclusions are limited by the cross-sectional study design, self-report assessment of behavior, and potential bias arising from questionnaire measures. Further research is needed to support these findings.

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Workplace Mediation: An Irish Study

Cited by 5 publications

References 33 publications

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

How Proponents and Opponents Influence Achievement Motivation: The Role of the Anticipated Emotions of Other People

Associations of depression and diabetes distress with self-management behavior and glycemic control.

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