82,633 research outputs found

    Hubungan Self Monitoring Dengan Impulsive Buying Terhadap Produk Fashion Pada Remaja

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    The aim of this study is to investigate the relationship between self monitoring and impulsive buying towards fashion product on adolescent. It was hypothesized that there is a positive relationship between self monitoring and impulsive buying towards fashion product on adolescent. The subjects of this study (N = 92) were the students of Faculty of Economy Gadjah Mada University, Yogyakarta. Two questionnaires were applied to measure self monitoring and impulsive buying towards fashion product on adolescent. The result indicated a positive and significant relationship between attitude towards modernization and entrepreneurship on adolescent (r = 0,402; p = 0,000), meaning that the research hypothesis was accepted. The determination coefficient was 0,162 indicating that the self monitoring contributes 16,2% to the impulsib\ve buying toward fashion product on adolescent

    Self-monitoring accuracy does not increase throughout undergraduate medical education

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    Context: Accurate self-assessment of one's performace on a moment-by-moment basis (ie, accurate self-monitoring) is vital for the self-regulation of practising physicians and indeed for the effective regulation of self-directed learning during medical education. However, little is currently known about the functioning of self-monitoring and its co-development with medical knowledge across medical education. This study is the first to simultaneously investigate a number of relevant aspects and measures that have so far been studied separately: different measures of self-monitoring for a broad area of medical knowledge across 10 different performance levels. Methods: This study assessed the self-monitoring accuracy of medical students (n = 3145) across 10 semesters. Data collected during the administration of the formative Berlin Progress Test Medicine (PTM) were analysed. The PTM comprises 200 multiple-choice questions covering all major medical disciplines and organ systems. A self-report indicator (ie, confidence) and two behavioural indicators of self-monitoring accuracy (ie, response time and the likelihood of changing an initial answer to a correct rather than an incorrect item) were examined for their development over semesters. Results: Analyses of more than 390 000 observations (of approximately 250 students per semester) showed that confidence was higher for correctly than for incorrectly answered items and that 86% of items answered with high confidence were indeed correct. Response time and the likelihood of the initial answer being changed were higher when the initial answer was incorrect than when it was correct. Contrary to expectations, no differences in self-monitoring accuracy were observed across semesters. Conclusions: Convergent evidence from different measures of self-monitoring suggests that medical students self-monitor their knowledge on a question-by-question basis well, although not perfectly, and to the same degree as has been found in studies outside medicine. Despite large differences in performance, no variations in self-monitoring across semesters (with the exception of the first semester) were observed

    Intervention planning and modification of the BUMP intervention: a digital intervention for the early detection of raised blood pressure in pregnancy

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    Background: Hypertensive disorders in pregnancy, particularly pre-eclampsia, pose a substantial health risk for both maternal and foetal outcomes. The BUMP (Blood Pressure Self-Monitoring in Pregnancy) interventions are being tested in a trial. They aim to facilitate the early detection of raised blood pressure through self-monitoring. This article outlines how the self-monitoring interventions in the BUMP trial were developed and modified using the person-based approach to promote engagement and adherence. Methods: Key behavioural challenges associated with blood pressure self-monitoring in pregnancy were identified through synthesising qualitative pilot data and existing evidence, which informed guiding principles for the development process. Social cognitive theory was identified as an appropriate theoretical framework. A testable logic model was developed to illustrate the hypothesised processes of change associated with the intervention. Iterative qualitative feedback from women and staff informed modifications to the participant materials. Results: The evidence synthesis suggested women face challenges integrating self-monitoring into their lives and that adherence is challenging at certain time points in pregnancy (for example, starting maternity leave). Intervention modification included strategies to address adherence but also focussed on modifying outcome expectancies, by providing messages explaining pre-eclampsia and outlining the potential benefits of self-monitoring. Conclusions: With an in-depth understanding of the target population, several methods and approaches to plan and develop interventions specifically relevant to pregnant women were successfully integrated, to address barriers to behaviour change while ensuring they are easy to engage with, persuasive and acceptable

    Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults : a systematic review and meta-analysis

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    Background: Sedentary behavior occurs largely subconsciously, and thus specific behavior change techniques are needed to increase conscious awareness of sedentary behavior. Chief amongst these behavior change techniques is self-monitoring of sedentary behavior. The aim of this systematic review and meta-analysis was to evaluate the short-term effectiveness of existing interventions using self-monitoring to reduce sedentary behavior in adults. Methods: Four electronic databases (PubMed, Embase, Web of Science, and The Cochrane Library) and grey literature (Google Scholar and the International Clinical Trials Registry Platform) were searched to identify appropriate intervention studies. Only (cluster-)randomized controlled trials that 1) assessed the short-term effectiveness of an intervention aimed at the reduction of sedentary behavior, 2) used self-monitoring as a behavior change technique, and 3) were conducted in a sample of adults with an average age >= 18 years, were eligible for inclusion. Relevant data were extracted, and Hedge's g was used as the measure of effect sizes. Random effects models were performed to conduct the meta-analysis. Results: Nineteen intervention studies with a total of 2800 participants met the inclusion criteria. Results of the meta-analyses showed that interventions using self-monitoring significantly reduced total sedentary time (Hedges g = 0,32; 95% CI = 0,14 - 0,50; p = 0,001) and occupational sedentary time (Hedge's g = 0,56; 95% CI = 0,07 - 0,90; p = 0,02) on the short term. Subgroup analyses showed that significant intervention effects were only found if objective self-monitoring tools were used (g = 0,40; 95% CI = 0,19 - 0,60; p < 0,001), and if the intervention only targeted sedentary behavior (g = 0,45; 95% CI = 0,15-0,75; p = 0,004). No significant intervention effects were found on the number of breaks in sedentary behavior. Conclusions: Despite the small sample sizes, and the large heterogeneity, results of the current meta-analysis suggested that interventions using self-monitoring as a behavior change technique have the potential to reduce sedentary behavior in adults. If future - preferably large-scale studies - can prove that the reductions in sedentary behavior are attributable to self-monitoring and can confirm the sustainability of this behavior change, multi-level interventions including self-monitoring may impact public health by reducing sedentary behavior

    Does self-monitoring reduce blood pressure? Meta-analysis with meta-regression of randomized controlled trials

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    Introduction. Self-monitoring of blood pressure (BP) is an increasingly common part of hypertension management. The objectives of this systematic review were to evaluate the systolic and diastolic BP reduction, and achievement of target BP, associated with self-monitoring. Methods. MEDLINE, Embase, Cochrane database of systematic reviews, database of abstracts of clinical effectiveness, the health technology assessment database, the NHS economic evaluation database, and the TRIP database were searched for studies where the intervention included self-monitoring of BP and the outcome was change in office/ambulatory BP or proportion with controlled BP. Two reviewers independently extracted data. Meta-analysis using a random effects model was combined with meta-regression to investigate heterogeneity in effect sizes. Results. A total of 25 eligible randomized controlled trials (RCTs) (27 comparisons) were identified. Office systolic BP (20 RCTs, 21 comparisons, 5,898 patients) and diastolic BP (23 RCTs, 25 comparisons, 6,038 patients) were significantly reduced in those who self-monitored compared to usual care (weighted mean difference (WMD) systolic −3.82 mmHg (95% confidence interval −5.61 to −2.03), diastolic −1.45 mmHg (−1.95 to −0.94)). Self-monitoring increased the chance of meeting office BP targets (12 RCTs, 13 comparisons, 2,260 patients, relative risk = 1.09 (1.02 to 1.16)). There was significant heterogeneity between studies for all three comparisons, which could be partially accounted for by the use of additional co-interventions. Conclusion. Self-monitoring reduces blood pressure by a small but significant amount. Meta-regression could only account for part of the observed heterogeneity

    What is the impact of blogging used with self-monitoring strategies for adolescents who struggle with writing?

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    Plan B Paper. 2012. Master of Science in Education- Reading--University of Wisconsin-River Falls. Teacher Education Department. 28 leaves. Includes bibliographical references (leaves 25-26).Writing is an onerous task for those who struggle with the skill. The basic prerequisites of organizing thoughts, transcribing thoughts into words, and writing down those words is fundamental to the more advanced skills of developing a sense of audience, writing with voice and applying conventions. Without proficient skills, students who cannot write, do not write. Positive attitude toward the process of writing suffers. Time spent on actual writing is limited. As a consequence, writing skill does not develop. Students who struggle with writing can be supported in their skill development through self-monitoring strategies. Self-monitoring strategies for writing give students a systematic process to know how to approach a writing task. The clear step-by-step process breaks down difficult skills and allows students to build proficiency through guided practice and eventually, independence. This action research project explored the impact of using self-monitoring strategies with the 21st century skill of blogging within a Writer's Workshop instructional model. Sixteen students (eleven males, five females) in grades 6-8th participated in a twelve week study. Target writing skills of fluency, stamina, motivation, awareness of audience and participation in peer review were measured for changes over the course of the study. Students were instructed in the use of self-monitoring strategies focusing on increasing word counts in correct word sequence timings, on-command prompt passages, and formal writing process pieces. Blogging was introduced and used to apply target skills to a digital writing setting. Each student learned self monitoring strategies to compose posts in personal blogs and to read and comment on other students' blogs. Pre-and post-writing attitude survey, correct word sequence timings and writing samples were taken throughout the study to assess each students' skill level and attitude toward writing. The group showed average gains of 34% in correct word sequence and 66% in word counts of process writing pieces. Qualitative data and quantitative data demonstrate that writing skills and attitudes toward writing also showed positive development when self-monitoring strategies were used to support the writing tasks of blogging in a Writer's Workshop model

    Self- Monitoring

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    http://deepblue.lib.umich.edu/bitstream/2027.42/108432/1/nvillell_1367016051.pd
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