Pengaruh Kompetensi Guru Terhadap Komitmen Profesional Dan Dampaknya Pada Kinerja Serta Kepuasan Kerja Guru Matematika SMP Dan Mts

Penelitian ini bertujuan untuk memperoleh model hubungan kausalitas dari variabel-variabel kompetensi, komitmen profesional, kinerja dan kepuasan kerja guru matematika. Populasi dalam penelitian ini adalah seluruh guru matematika SMP dan MTs di Kabupaten Ponorogo yang berjumlah 262 orang. Sampel sejumlah 82 orang ditentukan melalui teknik two stage cluster random sampling. Instrumen penelitian ini adalah kuesioner dan lembar penilaian/observasi. Kuesioner digunakan untuk mengumpulkan data komitmen profesional dan kepuasan kerja guru matematika, sedangkan lembar penilaian/observasi digunakan untuk mengumpulkan data kompetensi dan kinerja guru matematika. Data yang diperoleh dianalisis dengan metode Structural Equation Modeling (SEM).Hasil penelitian menunjukkan bahwa: (1) terdapat pengaruh positif kompetensi terhadap komitmen profesional sebesar 15,9%; (2) terdapat pengaruh positif kompetensi terhadap kinerja sebesar 63,6%; (3) terdapat pengaruh positif komitmen profesional terhadap kinerja sebesar 15,9%; dan (4) terdapat pengaruh positif komitmen profesional terhadap kepuasan kerja sebesar 37,8%. Hasil-hasil penelitian di atas dapat mengkonfirmasi kesimpulan penelitian-penelitian sebelumnya

Odds ratio (95%CI) for GP visit free throughout an entire year at different age periods.

<p>Odds ratio (95%CI) for GP visit free throughout an entire year at different age periods.</p

Socio-demographic disparities in the utilisation of general practice services for Australian children - Results from a nationally representative longitudinal study

<div><p>Objective</p><p>This study aimed to investigate the pattern of general practice services utilization for Australian children and to examine socio-demographic disparities in general practitioner (GP) visits.</p><p>Methods</p><p>We used the linked data from the nationally representative Longitudinal Study of Australian Children (LSAC) and the Medicare Australia claims data record. We used survey negative binomial and logistic regression to examine the socio-demographic factors associated with the utilisation of general practice services.</p><p>Results</p><p>The average number of annual GP visits gradually declined from 7.0 at 0–1 year old to 2.4 at 5–8 years (p< .001 for trend) in the infant cohort and from 3.5 at 2–4 years to 2.0 at 9–12 years (p < .001 for trend) in the child cohort. Girls were more likely to visit GPs than boys at 0–1 year old in the infant cohort (RR = 1.06, 95%CI: 1.02–1.11) and at 2–4 years in the child cohort (RR = 1.09, 95%CI: 1.04–1.14), but there were no differences at 2–4 to 5–8 year age periods in the infant cohort and at 5–8 to 9–12 year age period in the child cohort. Children from non-English speaking background were more likely to have a greater number of GP visits compared with their counterparts from English-speaking and Indigenous background up to eight year old in both cohorts (all p < .001). Children from families with the higher socio-economic position, children without private health insurance and children living in non-metropolitan were less likely to have GP consultations in both cohorts. Fair or poor parent-rated health status was associated with greater number of GP visits.</p><p>Conclusion</p><p>Socio-demographic disparities existed in the utilisation of general practice services and varied at different age periods. Family socio-economic position, private health insurance coverage and region of residence strongly associates with the utilisation disparities over all age period. Further policy interventions are called to minimise the disparities in GP utilisation for children in Australian context.</p></div

Percentage of children having a GP visit free year in different age periods, by cohort.

<p>Percentage of children having a GP visit free year in different age periods, by cohort.</p

Socio-demographic characteristics at baseline, 2003–04 (n = 9,521).

<p>Socio-demographic characteristics at baseline, 2003–04 (n = 9,521).</p

Adjusted incidence rate ratio (95%CI) for the number of GP visits at different age periods.

<p>Adjusted incidence rate ratio (95%CI) for the number of GP visits at different age periods.</p

Mean number of annually GP visits for children in different age periods, by cohort.

<p>Mean number of annually GP visits for children in different age periods, by cohort.</p

Patient and hospital characteristics.

<p>Note: *P≤0.05; **P≤0.01; †including lymphoma and leukaemia.</p><p>Ref =  reference group; SEIFA =  Socio-Economic Indices For Areas; CABG =  Coronary Artery Bypass Graft; AAA repair =  Abdominal Aortic Aneurysm repair.</p

Crude incidence rates and adjusted risk ratio (RR) of complications, failure-to-rescue and 30-day mortality.

<p>Note: 30-day mortality and complications were similar between the peer groups, but failure-to-rescue was less like to occur in the peer groups of major metro- and non-metropolitan (RR = 0.78; 95%CI: 0.60–0.99), district group 1 (RR = 0.57, 95%CI: 0.34–0.94) and district group 2 (RR = 0.61, 95%CI: 0.41–0.90) than that in the peer groups of principal referral and ungrouped acute hospitals.</p>‡<p>P = 0.053;</p><p>*P≤0.05;</p>§<p>P = (linear 0.02; quadratic 0.007);</p>†<p>P = 0.12.</p

Flow chart illustrating the derivation of the study population.

<p>Flow chart illustrating the derivation of the study population.</p