Tinto’s integration theory has highly influenced research on student success in Europe and America. However, due to the complexity of the theory and the enormous amount of variables, the theory is not suitable for use in regular evaluations in higher education.By including only the best-proven predictive variables, I reduced the amount of variables from Tinto’s theory, avoiding the capitalization of chance and establishing a more easy to use model for teachers and management. The latent variable ‘satisfaction’ was built by using a fraction of the original manifest variables. It was tested, using principal component analysis, in a previous study to prove a good fit of the model. In this paper I focus on the role of background variables (gender, ethnicity, previous education and living situation), to measure their possible influence. A multi-group comparison (X2 difference test) in SPSS AMOS is conducted and path analysis is done to uncover differences on individual paths between the variables.This paper is part of my PhD research, wherein I investigate the possible influence of the use of social media by first year students in higher education.
DOCUMENT
In this paper I investigate the differences between the 960 first year students at the department of Media, Information and Communication (MIC) of the University of Applied Sciences Amsterdam (UASA) in their use of new media and their background variables. With statistical test the various variables will be measured and compared with each other in order to give insight in the distribution of the variables among the students and possible relations between new media use and the students’ background. This study is part of a broader PhD research that investigates the relation between aspects of media literacy and students’ success. Therefore, the background variables that had proven to be factors of influence in student success by previous studies were also measured in this study. The use of new media was measured in the same survey amongst the students. The digital questionnaire was part of the career counselling course and mandatory for all students. With the insight of the distribution and relations between the different variables and the use of new media, this study will provide us a better few on the differences between the so-called Internet generation. Especially in the Netherlands, where 98% of all households with children have access to the Internet, a closer look into the differences could provide useful information for future research in digital divide and it’s shift from access to skills and differences in usage of the Internet.
LINK
The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac patients with heart failure (HF). This study aimed to determine the absolute and relative diagnostic importance of the individual components of the Tilburg Frailty Indicator (TFI) questionnaire in patients with HF. An exploratory analysis was performed using machine learning algorithms and the permutation method to determine the absolute importance of frailty components in HF. Based on the TFI data, which contain physical and psychosocial components, machine learning models were built based on three algorithms: a decision tree, a random decision forest, and the AdaBoost Models classifier. The absolute weights were used to make pairwise comparisons between the variables and obtain relative diagnostic importance. The analysis of HF patients’ responses showed that the psychological variable TFI20 diagnosing low mood was more diagnostically important than the variables from the physical domain: lack of strength in the hands and physical fatigue. The psychological variable TFI21 linked with agitation and irritability was diagnostically more important than all three physical variables considered: walking difficulties, lack of hand strength, and physical fatigue. In the case of the two remaining variables from the psychological domain (TFI19, TFI22), and for all variables from the social domain, the results do not allow for the rejection of the null hypothesis. From a long-term perspective, the ML based frailty approach can support healthcare professionals, including psychologists and social workers, in drawing their attention to the nonphysical origins of HF.
DOCUMENT
As part of my PhD research, I investigate the influence of the use of social media by first year students in higher education. In this research I have lessened the amount of variables, from Tinto’s theory, by including only the best-proven predictive variables, based on previous studies. Hereby, avoiding the capitalization of chance and a more easy to use model for teachers and management has been built. The latent variable ‘satisfaction’ is constructed by using just a fraction of the original manifest variables and tested using principal component analysis to proof the model can be simplified. Furthermore, I enriched the model with the use of social media, in particular Facebook, to better suit students’ contemporary society in the developed world. With principal analysis on Facebook usage, I measured the purpose of Facebook use (information, education, social and leisure) and the use of different pages amongst students. This provided different integration/engagement components, which are also included in the simplified model. For the principal component-analysis, Cronbach’s alpha and Guttman’s lambda-2 showed internal consistency and reliability. SPSS AMOS was used for testing the fit of the model and showed reasonable values for the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). This study will compare different background variables with the model to uncover the possible influences upon student success, engagement/satisfaction and social media use. Ultimately this paper will provide a better insight into what kind of influence social media can have upon student success.
DOCUMENT
This study investigates the way in which first year students use Facebook. An overview of recent studies on Facebook usage and a survey is presented. The latter is an online questionnaire on the Facebook activities of 618 students (78.6 % of all first year students) of the Media department of Hogeschool van Amsterdam. Previous studies identified four major Facebook activities: 1) information sharing receiving/providing information and generating ideas), 2) sharing for educational purposes (for learning, problem solving and sharing work), 3) social purposes (retrieving personal information about others or themselves, chatting, making appointments and generally keeping in touch) and 4) leisure (gaming and relaxing). The questionnaire’s answers were grouped accordingly and then compared, to provide a better understanding of how students use Facebook. In addition, a range of variables were measured in the survey,in order to map student characteristics such as gender, age, place of birth, living arrangements and the socio-economic status of their parents. Those variables were compared with the Facebook activities using PAWS Statistics 18.0 (formally SPSS)to determine any correlation
DOCUMENT
Background: Preoperative inspiratory muscle training (IMT) is frequently used in patients waiting for major surgery to improve respiratory muscle function and to reduce the risk of postoperative pulmonary complications (PPCs). Currently, the mechanism of action of IMT in reducing PPCs is still unclear. Therefore, we investigated the associations between preoperative IMT variables and the occurrence of PPCs in patients with esophageal cancer. Methods: A multi-center cohort study was conducted in subjects scheduled for esophagectomy, who followed IMT as part of a prehabilitation program. IMT variables included maximum inspiratory pressure (PImax) before and after IMT and IMT intensity variables including training load, frequency, and duration. Associations between PImax and IMT intensity variables and PPCs were analyzed using independent samples t tests and logistic regression analyses, corrected for age and pulmonary comorbidities and stratified for the occurrence of anastomotic leakages. Results: Eighty-seven subjects were included (69 males; mean age 66.7 ± 7.3 y). A higher PImax (odds ratio 1.016, P = .07) or increase in PImax during IMT (odds ratio 1.020, P = .066) was not associated with a reduced risk of PPCs after esophagectomy. Intensity variables of IMT were also not associated (P ranging from .16 to .95) with PPCs after esophagectomy. Analyses stratified for the occurrence of anastomotic leakages showed no associations between IMT variables and PPCs. Conclusions: This study shows that an improvement in preoperative inspiratory muscle strength during IMT and training intensity of IMT were not associated with a reduced risk on PPCs after esophagectomy. Further research is needed to investigate other possible factors explaining the mechanism of action of preoperative IMT in patients undergoing major surgery, such as the awareness of patients related to respiratory muscle function and a diaphragmatic breathing pattern.
LINK
In this paper I investigate the way in which first year students in the Department of Media, Information and Communication at the Amsterdam University of Applied Sciences, use Facebook. I provide an overview of recent studies on Facebook usage and present the results of a survey (in the form of an online questionnaire) on the Facebook activities of 618 students (78.6 % of all first year students) in this department. Previous studies identified four major Facebook activities: 1) information sharing (receiving/providing information and generating ideas), 2) sharing for educational purposes (for learning, problem solving and sharing work), 3) social purposes (retrieving personal information about others or themselves, chatting, making appointments and generally keeping in touch) and 4) leisure (gaming and relaxing). The questionnaire’s answers were grouped accordingly and then compared, to provide a better understanding of how students use Facebook. In addition, a range of variables were measured in the survey,in order to map student characteristics such as gender, age, place of birth, living arrangements and the socio-economic status of their parents. Those variables werecompared with the Facebook activities using PAWS Statistics 18.0 (formally SPSS) to determine any correlation.
MULTIFILE
Background: Family quality of life (FQoL) of families that have a child with severe to profound intellectual disabilities (SPID) is an important and emerging concept, however, related variables are inconclusive.Aim: To gain a better understanding of variables related to the FQoL of families that have a child with SPID, variables related to the FQoL of families that have a child with intellectual disabilities (ID) were systematically reviewed.Methods and procedures: A search strategy was performed in five databases. Critical appraisal tools were employed to evaluate the quality of both quantitative and qualitative studies. Data extraction and synthesis occurred to establish general study characteristics, variables, and theoretical concepts. Variables were categorised into four key concepts of the FQoL: systemic concepts, performance concepts, family-unit concepts and individual-member concepts.Outcomes and results: A total of 40 studies were retrieved with 98 variables. Quality scores ranged from 7 to 13 (quantitative) and 5 to 13 (qualitative) out of 13 and 14 points, respectively. Five out of the 40 studies (13%) focused on individuals with SPID. Variables related positively or negatively to the FQoL, and were categorised within systemic concepts (n = 3); performance concepts (n = 11); family-unit concepts (n = 26); and individual-member concepts (n = 58).Conclusions and implications: Several variables were found to be (inter)related to the FQoL of families that have a child with ID. A contrasting picture emerged regarding the impact of a disability in relation to transitional phases. However, studies which include families of children with SPID were minimal, therefore, it remained ambiguous to what extent the identified variables apply to these families.
DOCUMENT
Universal school-based social-emotional learning (SEL) programs target several social-emotional skills assuming a relationship between the skills and psychosocial health outcomes. However, greater insight into the relationship is required to clarify the skills that are most crucial to address. It will support the development and refinement of SEL programs. This study investigated (1) the relationship among the social-emotional skills, (2) the association between the skills and psychosocial health variables, and (3) the mediating effect of the skills on psychosocial variables. Results: There was a high degree of overlap between the five skills (self-awareness, social awareness, self-management, relationship skills, and responsible decision-making). The skills were univariately associated with emotional-behavioral difficulties and prosocial behavior. In the multivariate model, self-management most strongly correlated with emotional-behavioral difficulties and mediated the relationship between self-awareness and emotional-behavioral difficulties. Social awareness showed the highest correlation with prosocial behavior and mediated the relationship between prosocial behavior and three other skills: self-awareness, relationship skills, and responsible decision-making.
DOCUMENT
Op 28 augustus 2014 heb ik een 'oral presentation' gegeven op het European Health Psychology Society congres te Innsbruck. De abstract van het artikel die ik gepresenteerd heb is gepubliceerd op de website van EHPS (zie bijgevoegd de link) The aim was to quantify the relationship between behavioural determinants and dental health behaviour among 9-18 year old children. Methods: Searches were conducted in PsycINFO, PubMed, CINAHL and EMBASE. In total 25 studies were included, which addressed 16 variables. A weighted average effect size correlation (WAES r) was calculated per determinant and dental health behaviour. According to Cohen (1988) effect sizes can be considered as small (r = 0.10), medium (r = 0.30) and large (r = 0.50). Findings: All WAES r’s were significant and revealed a positive relation between determinant and dental health behaviour. Large effects were found for coping planning and self-efficacy. Medium-to-large effects were found for the determinants: intention, affective attitude, and action planning. The WAES r was small-to-medium effects were found for: social norms, cognitive attitude, knowledge, parental oral health behaviour and parental cognitions. Discussion: Although the number of studies focusing on volitional factors are limited, the overall findings highlight the importance of volitional factors, rather than knowledge or motivational factors in explaining dental health behaviour. Refbacks There are currently no refbacks.
LINK
