Analysing correlates for the younger-old and the oldest-old: Adjustment to aging

2016 ◽  
Vol 33 (S1) ◽  
pp. s289-s289
Author(s):  
S. von Humboldt ◽  
I. Leal
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Oldest Old ◽  
Perceived Health ◽  
Community Dwelling ◽  
Equation Modeling ◽  
Professional Status ◽  
Old Adults ◽  
Competing Interest ◽  
Adjustment To Aging

IntroductionDiverse factors may predict the adjustment to aging (AtA) of the younger-old and oldest-old adults’.ObjectivesTo build a structural model for exploring whether socio-demographic, health and lifestyle-related variables are predictors of AtA for both groups.MethodsResearch encompassed a community-dwelling sample, of 447 older adults aged 75 years and above (M = 86.27; SD = 6.78; range 75–100). Measures included demographics (sex, marital status, education, household, adult children, family‘s annual income, and self-reported spirituality), lifestyle and health-related characteristics (perceived health, recent disease, physical activity and leisure), and the Adjustment to Aging Scale. Structural equation modeling was used to investigate a structural model of the self-reported AtA, encompassing all the above variables.ResultsSignificant predictors for the younger-old are perceived health (β = .425; P < .001), leisure (β = .324; P < .001), professional status (β = .243; P < .001). Significant predictors for the oldest-old are self-reported spirituality (β = .816; P < .001), perceived health (β = .232; P < .001), and income (β = .233; P = .035). The variables explained respectively 64.5% and 61.6% of the variability of AtA, respectively.ConclusionsPerceived health is the strongest predictor of AtA for the younger-old participants whilst self-reported spirituality is the strongest predictor of AtA for the oldest-old adults.Disclosure of interestThe authors have not supplied their declaration of competing interest.

What Predicts Adjustment to Aging Among Lesbian, Gay and Bisexual Older Adults?

2017 ◽  
Vol 41 (S1) ◽  
pp. S177-S177
Author(s):  
S. Von Humboldt ◽  
I. Leal ◽  
F. Carneiro
Keyword(s):  
Older Adults ◽  
Structural Equation ◽  
Structural Model ◽  
Satisfaction With Life ◽  
Perceived Health ◽  
Satisfaction With Life Scale ◽  
Equation Modeling ◽  
Competing Interest ◽  
And Bisexual ◽  
Adjustment To Aging

IntroductionIntervention programs that highlight predictors of adjustment to aging (AtA) for minority older lesbian, gay and bisexual (LGB) populations are scarce.ObjectiveThe aim of this preliminary study is to build a structural model to explore whether socio-demographic, health and lifestyle-related variables, are correlates of AtA in a group of LGB older adults.MethodsThe sample comprised 287 LGB older adults aged 75 years old and older. Convenience sampling was used to gather questionnaire data. Measures encompassed the adjustment to aging scale, the satisfaction with life scale, demographics and lifestyle and health-related characteristics. Structural equation modeling was used to explore a structural model of the self-reported AtA, comprising all the above variables.ResultsThe structural model indicated the following significant correlates: perceived health (β = 0.456; P < 0.001), leisure (β = 0.378; P < 0.001), income (β = 0.302; P < 0.001), education (β = 0.299; P = 0.009), spirituality (β = 0.189; p <0 .001), sex (β = 0.156; P < 0.001), physical activity (β = 0.142; P < 0.001), satisfaction with life (β = 0.126; P < 0.001), and marital status (β = 0.114; P = 0.008). The variables explain respectively 76.4% of the variability of AtA.ConclusionsThese outcomes suggest that policy making and community interventions with LGB older adults may benefit of including variables, such as, perceived health, leisure and income, as these were pointed out as significant for this group of older adults for promoting adjustment to aging in late adulthood.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Predictors of satisfaction with life among older adults

2017 ◽  
Vol 41 (S1) ◽  
pp. S177-S178
Author(s):  
S. Von Humboldt ◽  
I. Leal
Keyword(s):  
Older Adults ◽  
Sex Education ◽  
Adult Children ◽  
Sense Of Coherence ◽  
Structural Equation ◽  
Structural Model ◽  
Satisfaction With Life ◽  
Community Dwelling ◽  
Equation Modeling ◽  
Health Related

IntroductionIncreasing longevity brings challenges for older adults’ satisfaction with life (SWL).AimsThis study aims at exploring a structural model of predictors of SWL in a cross-national sample of older adults.MethodsA community-dwelling sample of 1234 older adults was assessed regarding SWL, sense of coherence (SOC) and socio-demographic, lifestyle and health-related characteristics. Structural equation modeling was used to investigate a structural model of the self-reported SWL, comprising SOC, socio-demographic characteristics (age, sex, education, marital and professional status, household, adult children, income, living setting and religion), lifestyle and health-related characteristics (physical activity, recent disease and medication).ResultsSignificant predictors are SOC (β = .733; P < .001), religion (β = .725; P < .001), income (β = .551; P < .001), adult children (β = .546; P < .001), education (β = –.403; P < .001), living setting (β = –.292; P < .001) and medication (β = –.197; P < .001). The variables accounted for 24.8% of the variability of SWL. Moreover, differences between the four nationality groups (F(3, 671) = 3.671, P = .066) were not found concerning SWL.ConclusionsSense of coherence is the strongest predictor of self-reported SWL. Other predictors are religion, income, adult children, education, living setting and medication. The four nationalities did not present significant differences, concerning SWL. This study highlights the factors that influence older adults’ SWL, namely, SOC, religion and income, as promoters of aging well, within a salutogenic model of health for older populations.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Older Adults’ Adjustment to Aging: The Impact of Sense of Coherence, Subjective Well-being and Socio-demographic, Lifestyle and Health-related Factors

2017 ◽  
Vol 41 (S1) ◽  
pp. S666-S667 ◽  
Author(s):  
S. Von Humboldt ◽  
I. Leal
Keyword(s):  
Older Adults ◽  
Adult Children ◽  
Sense Of Coherence ◽  
Structural Model ◽  
Perceived Health ◽  
Well Being ◽  
Community Dwelling ◽  
Subjective Well Being ◽  
Health Related ◽  
Adjustment To Aging

IntroductionLiterature lacks of studies assessing correlates of adjustment to aging (AtA) among older populations.ObjectiveThe aim of this study was to build a structural model to explore the predictors of adjustment to aging (AtA) in a community-dwelling older population.MethodsA community-dwelling sample of 1270 older adults aged between 75 and 102 years answered a questionnaire to determine socio-demographic (sex, age, professional and marital status, education, household, adult children, family's annual income, living setting and self-reported spirituality), lifestyle and health-related characteristics (perceived health, recent disease, medication and leisure). Several instruments were used to assert psychological variables, namely AtA, sense of coherence and subjective well-being. Structural equation modeling was used to explore a structural model of the self-reported AtA, encompassing all variables.ResultsSignificant predictors are self-reported spirituality (β = .816; P < .001), perceived health (β = .455; P < .001), leisure (β = .322; P < .001), professional status (β = .283; P < .001), income (β = .230; P = .035), household (β = -.208; P = .007), sense of coherence (β = -.202; P = .004) and adult children (β = .164; P = .011). The variables explain 60.6% of the variability of AtA.ConclusionsSelf-reported spirituality is the strongest predictor of AtA. This study emphasizes the need for deepening the variables that influence older adults’ AtA, in particular perceived health and further lifestyle-related characteristics, as being relevant for promoting aging well in later life, within a salutogenic context for health care.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Personality Measurement and Profile in a European Sample of Civil Airline Pilots

2019 ◽  
Vol 35 (6) ◽  
pp. 791-800 ◽  
Author(s):  
Karina Mesarosova ◽  
Alex B. Siegling ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske ◽  
Martin M. Smith ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Population Sample ◽  
Civil Aviation ◽  
Equation Modeling ◽  
Personality Profile ◽  
Working Population ◽  
Internal Reliability ◽  
Airline Pilots ◽  
Pilot Sample

Abstract. The study examined the psychometric properties of the Revised NEO Personality Inventory (NEO PI-R, UK edition) in a large European sample of civil airline pilots. The NEO PI-R is a comprehensive and robust measure of personality that has been validated across cultures and contexts. Furthermore, the personality profile of the pilot sample was examined and compared to a normative sample representing the UK working population. Data from 591 pilots (95.1% male) were collected. Analyses include the internal reliability and factorial validity (precisely, Exploratory Structural Equation Modeling) to examine the measurement equivalence of the NEO PI-R with reference to UK norms ( N = 1,301). Internal reliability estimates of the NEO PI-R scores were good at the domain level, but generally weak at the facet level. The structural model in the pilot sample was congruent with the general working population sample. Furthermore, there was convincing evidence for a distinct personality profile of civil pilots, although the stability of this profile will require further validation. The NEO PI-R’s validity in the assessment of general personality in civil airline pilots is discussed, along with implications of the results for the utility of personality assessment in civil aviation contexts.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

Assessment of Teacher Attitudes Toward Inclusion of Students with Disabilities: A Confirmatory Factor Analysis

1997 ◽  
Vol 14 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Georgios D. Sideridis ◽  
Judy P. Chandler
Keyword(s):  
Physical Education ◽  
Music Education ◽  
Students With Disabilities ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Future Research ◽  
Physical Education Teachers ◽  
The Status ◽  
Fit Index

The Teacher Integration Attitudes Questionnaire (TIAQ) was developed in order to assess the attitudes and beliefs of teachers (n = 110) with regard to the inclusion of students with disabilities in regular education settings. Using Structural Equation Modeling, the final structural model of the TIAQ comprised four constructs, namely, “Skills,” “Benefits,” “Acceptance,” and “Support.” The final model was fully supported by the derivation sample of music education teachers (n = 54) and produced a Comparative Fit Index (CFI = 1.00). The replication sample of physical education teachers (n = 56) partially supported the generality of the TIAQ, (CFI = .844). Further, the internal consistency properties of the TIAQ (Cronbach’s alpha was .77 for both samples) were satisfactory. We conclude that the psychometric properties of the TIAQ were adequate, and it can be used as a valid assessment in evaluating the status of inclusion for students with disabilities as perceived by music education and physical education teachers. However, future research is needed to support its generality with other groups of teachers and professionals.

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

Researchers’ awareness about plagiarism and impact of plagiarism detection tools – does awareness effect the actions towards preventing plagiarism?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sk. Mamun Mostofa ◽  
Mashiat Tabassum ◽  
S.M. Zabed Ahmed
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Personal Characteristics ◽  
Equation Model ◽  
Equation Modeling ◽  
Plagiarism Detection ◽  
Chi Square ◽  
Content Type ◽  
Reported Study ◽  
Chi Square Test

Purpose This paper aims to analyse researchers’ awareness about plagiarism and impact of plagiarism detection tools on the actions that they take to prevent plagiarism. It also employs a structural model that examines whether awareness of plagiarism and anti-plagiarism tools have any significant effect on the actions taken by the researchers to avoid plagiarism. Design/methodology/approach A survey questionnaire was distributed to researchers at a large public university in Bangladesh. The survey accumulated 184 valid responses. Descriptive statistics were obtained to assess researchers’ awareness about plagiarism and impact of plagiarism detection tools and the actions taken by them. The reasons that may cause plagiarism were also identified. The awareness of the availability of the anti-plagiarism software that was being used by the university and its actual use by the researchers was gathered through the survey. Non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to investigate the differences in awareness levels and actions in terms of gender, age, discipline and current level of research. The chi-square test was carried out to examine the relationship between awareness about the availability of the anti-plagiarism software and its use by the researchers. Finally, the survey data were analysed using structural equation modeling to examine the effects of awareness of plagiarism and anti-plagiarism software on the actions taken by the researchers. Findings The study revealed that the level of awareness regarding plagiarism and impact of plagiarism detection software is generally high among the researchers. There are some significant differences between researchers’ demographic and personal characteristics and their awareness levels and actions with regard to plagiarism. The findings indicate that almost three-quarters of the researchers were aware about the anti-plagiarism tool that is being used, whereas more than half of the researchers indicated that they used the software to assess their works. The results of the structural equation model do not show a good fit, although there is strong statistical evidence that awareness about plagiarism and anti-plagiarism software has significantly impacted researchers’ actions towards preventing plagiarism. Originality/value There is no reported study on researchers’ awareness of plagiarism and its affiliated issues in Bangladesh. The findings of this study will not only provide useful insights regarding awareness about plagiarism but also assist university authorities to formulate relevant policy and take necessary actions against plagiarism in higher education institutions.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

The effect of teaching style and academic enthusiasm of accounting and auditing students on stress, aggression, and anxiety

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arash Arianpoor ◽  
Hameed Mohsen Khayoon
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Sampling Method ◽  
Structural Model ◽  
Teaching Style ◽  
Equation Modeling ◽  
Statistical Population ◽  
Content Type ◽  
Confirmatory Factor ◽  
Negative Effect

Purpose This study aims to investigate the effect of teaching style and academic enthusiasm of Iraqi accounting and auditing students on their stress, aggression and anxiety. Design/methodology/approach The statistical population in this study consists of two parts. The first is the Iraqi accounting and auditing students in Iran and the second is the Iraqi accounting and auditing students in Iraq. By available non-probability sampling method, 62 people (Iraqi students in Iran) and 102 (Iraqi students in Iraq) were selected as samples. In this research, a questionnaire was used to collect information. The validity of the questionnaire’s structure was confirmed by confirmatory factor analysis. Also, Cronbach’s alpha coefficients in this study indicating the measurement tool’s reliability. In this research, structural equation modeling has been used to analyze and test the hypotheses. The primary criteria for determining the coefficient and evaluating the path coefficients were used to evaluate the structural model. Findings Findings indicate that in Iraqi students in Iraq and Iraqi students in Iran, teaching style negatively affects stress, aggression and accounting and auditing students’ anxiety. Also, in the group of Iraqi students in Iraq and the group of Iraqi students in Iran, the eagerness to study has a significant negative effect on accounting and auditing students’ stress and anxiety. In contrast, the effect of the desire to study accounting and auditing students’ aggression was confirmed only in Iraqi students in Iraq. Originality/value As the accounting and auditing professions are among the most stressful occupations that increase the characteristics of aggression and anxiety in the employees of that profession, the results of leading research can show that the stress, anxiety and aggression of accounting and auditing students how to reduce through training so that their stress, anxiety and aggression do not appear in the workplace and the reports of accountants and auditors are not affected.

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