Using the 1991 Census SAR in a Multilevel Analysis of Male Unemployment

1997 ◽  
Vol 29 (4) ◽  
pp. 611-628 ◽  
Author(s):  
M I Gould ◽  
E Fieldhouse
Keyword(s):  
Higher Education ◽  
Social Class ◽  
Marital Status ◽  
Individual Characteristics ◽  
Underlying Structure ◽  
Logit Models ◽  
Geographical Variations ◽  
Cross Tabulation ◽  
Level 1 ◽  
Level 2

The risk of unemployment varies between individuals, between occupations and industries, and between places. The Sample of Anonymised Records drawn from the 1991 Census is used to model geographical, demographic, and socioeconomic variations in male unemployment by means of multilevel logit models. The underlying structure of the problem is such that cells in a multiway cross-tabulation of individual characteristics (level 1) are nested within places (level 2). Geographical variations in male unemployment are found even after allowing for age, marital status, ethnicity, higher education qualifications, social class, and industry.

scholarly journals Perbedaan Gender pada Kejadian Sindrom Metabolik pada Penduduk Perkotaan di Indonesia

2012 ◽  
Vol 7 (5) ◽  
pp. 219
Author(s):  
Krisnawaty Bantas ◽  
Hari Koesnanto Yoseph ◽  
Budi Moelyono
Keyword(s):  
Gender Differences ◽  
Marital Status ◽  
Activity Level ◽  
Cross Sectional ◽  
Main Independent Variable ◽  
Fiber Consumption ◽  
Level 3 ◽  
Level 1 ◽  
And Gender ◽  
Level 2

Sindrom Metabolik (SM) merupakan faktor risiko penting penyakit kardiovaskuler yang merupakan penyebab utama kematian di Indonesia. Perbedaan gender pada SM berkontribusi terhadap perbedaan gender pada penyakit kardiovaskuler. Penelitian ini bertujuan mengetahui prevalensi dan risiko SM berdasarkan gender di perkotaan Indonesia menggunakan data Riset Kesehatan Dasar 2007 dan menggunakan rancangan penelitian potong lintang. Populasi penelitian terdiri dari 13.262 orang pria dan wanita yang tidak hamil berusia lebih dari 15 tahun yang bermukim di daerah perkotaan. Variabel penelitian meliputi variabel dependen sindrom metabolik. Variabel independen utama adalah gender dan variabel kovariat yang lain adalah level 1 (umur, statusperkawinan, pendidikan, stres, merokok, dan aktivitas fisik), level 2 (pendapatan keluarga, konsumsi energi rumah tangga, konsumsi protein rumah tangga, konsumsi serat rumah tangga, anggota rumah tangga, dan balita dalam rumah tangga), dan level 3 (provinsi, status urban, dan Indeks Pembangunan Manusia (IPM)). Analisis dilakukan dengan multilevel regresi logistik. Hasil penelitian menyebutkan bahwa prevalensi SM adalah 17,5 %, prevalensi pada wanita (21,3%) lebih tinggi daripada pria (12,9%). Risiko sindrom metabolikberdasarkan gender bergantung pada status umur, pendidikan, dan perkawinan dari individu. Variasi kejadian SM berdasarkan pendapatan keluarga kecil (nilai MOR 1,21) dan variasi kejadian SM berdasarkan provinsi juga kecil (nilai MOR1,18).Kata kunci: analisis multilevel, gender, sindrom metabolikAbstractMetabolic Syndrome (MS) is an important factor for Cardiovascular Disease (CVD). One of the main causes of death in Indonesia is CVD. Gender differences in MS may contribute the gender differences in CVD. This study aimed to examine the prevalence and MS risk by gender in the urban population of Indonesia using Riskesdas 2007 data and cross-sectional design study. Population of study consisted of 13,262 men and non pregnant women over 15 years old lived in urban area. Variables included in this study are MS as the dependentvariable and gender as the main independent variable. The covariate variables consisted of: level 1 variables (age, marital status, education, stress, smoking, and physical activity), level 2 (family outcome, household energy consumption, protein consumption, fiber consumption, members, and toddler under5 years), level 3 (province, urban status, and human development index). Multilevel logistic regression used in data analysis. Result showed that prevalence of MS was 17,5%, on women (21.3%) was higher than men (12.9%). The risk of MS by gender was depent on age, educational level, and marital status of individual. The variation of MS occurrence among the family incomes was small (MOR 1.21), and the variation of MS occurrence among the provinces was also small (MOR 1.18).Keywords: multilevel analysis, gender, metabolic syndrome

scholarly journals A corpus-based list of academic English derivational suffixes

2020 ◽  
Vol 10 (2) ◽  
pp. 481-490
Author(s):  
S. Suhandoko ◽  
Dian Riesti Ningrum
Keyword(s):  
Higher Education ◽  
High Frequency ◽  
American English ◽  
Word List ◽  
Academic English ◽  
Vocabulary Size ◽  
Efl Teachers ◽  
Level 3 ◽  
Level 1 ◽  
Level 2

The study reported in this paper aims to create a list of academic English derivational suffixes to help EFL teachers decide which derivational suffixes to be taught first and help their learners, especially those of higher education, expand their vocabulary size. Gardner and Davies’ (2014) 3,000-word list of Corpus of Contemporary American English (COCA) academic was analyzed following Hay (2002) and Plag’s (2006) frameworks by counting the number of words containing the suffixes. This study found 1,251 suffixed words in the corpus deriving from 41 suffixes, which comprise 22 noun suffixes, 13 adjectival suffixes, 4 verbal suffixes, and 2 adverbial suffixes. The suffixes were then ordered into 3 levels based on the frequency; 22 suffixes are put in Level 1, 12 suffixes in Level 2, and 7 suffixes in Level 3. Considering the high frequency, all suffixes in Level 1 should gain more attention of the teachers. The more frequent occurrence of the suffix in a variety of context will provide a greater chance for the learners to get more exposure. Hence, mastering it will likely expand learners’ vocabulary size through combining the suffix and existing base.

ANALISIS KEMAMPUAN KOMUNIKASI MATEMATIS DALAM MENYELESAIKAN MASALAH STATISTIKA

2018 ◽  
Vol 5 (2) ◽  
pp. 7 ◽  
Author(s):  
Ahmad Aunur Rohman
Keyword(s):  
Level 1 ◽  
Level 2

Penelitian ini dimaksudkan untuk mengetahui bagaimana kemampuan komunikasi matematis mahasiswa terhadap pemahaman statistika. Data dalam penelitian ini berupa hasil pekerjaan tes tertulis tentang kemampuan komunikasi matematis dan wawancara terhadap subjek penelitian. Pengumpulan data diperoleh dengan tes dan wawancara. Uji keabsahan data yang digunakan adalah triangulasi. Data penelitan yang terkumpul dianalisis dengan analisis data non statistik yang terdiri dari tiga alur, yaitu reduksi data, penyajian data, dan penarikan kesimpulan/verifikasi data. Hasil penelitian menunjukkan bahwa 1) Terdapat 5 mahasiswa yang berada pada level 0 (sangat kurang baik); 2) 24 mahasiswa berada pada level 1 (kurang baik); 3) 6 mahasiswa berada pada level 2 (cukup baik); Penelitian ini diharapkan dapat memacu individu lain untuk melakukan penelitian yang lebih baik dan mendalam tentang kemampuan komunikasi matematis.

EVALUASI PELATIHAN DI PT. PUPUK KUJANG CIKAMPEK

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Lania Muharsih ◽  
Ratih Saraswati
Keyword(s):  
Training Evaluation ◽  
Work Productivity ◽  
Learning Behavior ◽  
Level 3 ◽  
Level 1 ◽  
Four Levels ◽  
A Company ◽  
Level 2 ◽  
Evaluation Sheet ◽  
Assessment Factor

This study aims to determine the training evaluation at PT. Kujang Fertilizer. PT. Pupuk Kujang is a company engaged in the field of petrochemicals. Evaluation sheet of PT. Fertilizer Kujang is made based on Kirkpatrick's theory which consists of four levels of evaluation, namely reaction, learning, behavior, and results. At level 1, namely reaction, in the evaluation sheet is in accordance with the theory of Kirkpatrick, at level 2 that is learning should be held pretest and posttest but only made scale. At level 3, behavior, according to theory, but on assessment factor number 3, quantity and work productivity should not need to be included because they are included in level 4. At level 4, that is the result, here is still lacking to get a picture of the results of the training that has been carried out because only based on answers from superiors without evidence of any documents.   Keywords: Training Evaluation, Kirkpatrick Theory.    Penelitian ini bertujuan mengetahui evaluasi training di PT. Pupuk Kujang. PT. Pupuk Kujang merupakan perusahaan yang bergerak di bidang petrokimia. Lembar evaluasi PT. Pupuk Kujang dibuat berdasarkan teori Kirkpatrick yang terdiri dari empat level evaluasi, yaitu reaksi, learning, behavior, dan hasil. Pada level 1 yaitu reaksi, di lembar evaluasi tersebut sudah sesuai dengan teori dari Kirkpatrick, pada level 2 yaitu learning seharusnya diadakan pretest dan posttest namun hanya dibuatkan skala. Pada level 3 yaitu behavior, sudah sesuai teori namun pada faktor penilaian nomor 3 kuantitas dan produktivitas kerja semestinya tidak perlu dimasukkan karena sudah termasuk ke dalam level 4. Pada level 4 yaitu hasil, disini masih sangat kurang untuk mendapatkan gambaran hasil dari pelatihan yang sudah dilaksanakan karena hanya berdasarkan dari jawaban atasan tanpa bukti dokumen apapun.   Kata kunci: Evaluasi Pelatihan, Teori Kirkpatrick.

scholarly journals Celebrate Diversity?

2021 ◽  
Author(s):  
Christian Huber ◽  
Philipp Nicolay ◽  
Simone Weber
Keyword(s):  
Eine Hohe ◽  
Soziale Integration ◽  
Level 1 ◽  
Soziale Ausgrenzung ◽  
Level 2

ZusammenfassungSchulleistungen und soziale Integration sind im deutschen Schulsystem eng miteinander verbunden. Unklar ist, welche Rolle die Leistungs- und Verhaltensheterogenität für diesen Zusammenhang spielt. Vertreter*innen eines klassischen sozialpsychologischen Zugangs sagen für eine hohe Leistungs- und Verhaltensheterogenität eine Erhöhung des Risikos auf soziale Ausgrenzung (Risikohypothese) voraus, Vertreter*innen eines inklusionspädagogischen Zugangs eine Schutzfunktion (Schutzhypothese). Die vorliegende Studie untersucht, inwieweit die Leistungs- und Verhaltensheterogenität den Zusammenhang zwischen einem Förderbedarf in den Bereichen Lernen/Verhalten und sozialer Integration moderiert und ob die Richtung dieses Modertoreffekt im Sinne der Schutz- oder der Risikohypothese gedeutet werden kann. Hierzu wurden N = 1352 Grundschüler*innen in drei unterschiedlich heterogenen Schulsystemen (jahrgangsgetrennt, 1/2/3/4; teilweise jahrgangsübergreifend, 1–2/3–4; jahrgangsübergreifend, 1–4) in einer Querschnittstudie untersucht. Erhoben wurden, neben der sozialen Integration, Informationen über einen besonderen Förderbedarf in den Bereichen Lernen und Verhalten und Schulleistung. Das Schulsystem ging als unabhängige Variable auf Level 2, der Förderbedarf als unabhängige Variable auf Level 1 und die soziale Integration als abhängige Variable in die mehrebenenanalytische Auswertung ein. Analog zu bisher vorliegenden Befunden wurde ein signifikanter Haupteffekt beider Förderbedarfe auf die soziale Integration gefunden. Ferner zeigten vier von sechs Cross-Level-Effekten für den Förderbedarf Lernen Hinweise auf eine Gültigkeit der Schutzhypothese, kein Cross-Level-Effekt war im Sinne der Risikohypothese interpretierbar. Dieser Befund war nicht auf den Förderbedarf Verhalten übertragbar. Die Ergebnisse legen nahe, dass sich der Zusammenhang zwischen sozialer Integration und Förderbedarf Lernen mit zunehmender Leistungs- und Verhaltensheterogenität abschwächt. Gleichzeitig zeigte sich in den stark heterogenen Lerngruppen ein insgesamt erhöhtes Ausgrenzungsrisiko aller Schüler*innen unabhängig ihres Förderbedarfs. Die Ergebnisse lassen den Schluss zu, dass sich für Schüler*innen mit erhöhtem Förderbedarf Lernen im jahrgangsübergreifenden Lernen eine höhere Chance für eine gute soziale Integration einstellen könnte.

scholarly journals Place of study, field of study and labour-market region: What matters for wage differences among higher-education graduates?

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Silvia Kopecny ◽  
Steffen Hillmert
Keyword(s):  
Higher Education ◽  
Structural Characteristics ◽  
Individual Characteristics ◽  
Labour Markets ◽  
Minor Importance ◽  
Wage Differences ◽  
Random Effects Models ◽  
Fields Of Study ◽  
Regional Labour Markets ◽  
Wage Variation

AbstractThis paper focuses on the structure and extent of wage differences among graduates of different higher-education institutions in Germany. We ask how large these differences are and how they relate to fields of study and regional labour markets. The results from our application of cross-classified random-effects models to a cohort of the DZHW Graduate Panel show that there is a considerable amount of wage variation depending on the graduates’ alma mater. However, this variation can be fully explained by structural characteristics: Selection based on individual characteristics is of only minor importance, while regional labour markets do matter. Most of all, however, the differences relate to fields of study.

scholarly journals An Atmospheric Visibility Grading Method Based on Ensemble Learning and Stochastic Weight Average

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 869
Author(s):  
Xiuguo Zou ◽  
Jiahong Wu ◽  
Zhibin Cao ◽  
Yan Qian ◽  
Shixiu Zhang ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Traffic Accidents ◽  
Feature Sets ◽  
Atmospheric Visibility ◽  
Average Accuracy ◽  
Level 3 ◽  
Visual Characteristics ◽  
Level 1 ◽  
Grading Model ◽  
Level 2

In order to adequately characterize the visual characteristics of atmospheric visibility and overcome the disadvantages of the traditional atmospheric visibility measurement method with significant dependence on preset reference objects, high cost, and complicated steps, this paper proposed an ensemble learning method for atmospheric visibility grading based on deep neural network and stochastic weight averaging. An experiment was conducted using the scene of an expressway, and three visibility levels were set, i.e., Level 1, Level 2, and Level 3. Firstly, the EfficientNet was transferred to extract the abstract features of the images. Then, training and grading were performed on the feature sets through the SoftMax regression model. Subsequently, the feature sets were ensembled using the method of stochastic weight averaging to obtain the atmospheric visibility grading model. The obtained datasets were input into the grading model and tested. The grading model classified the results into three categories, with the grading accuracy being 95.00%, 89.45%, and 90.91%, respectively, and the average accuracy of 91.79%. The results obtained by the proposed method were compared with those obtained by the existing methods, and the proposed method showed better performance than those of other methods. This method can be used to classify the atmospheric visibility of traffic and reduce the incidence of traffic accidents caused by atmospheric visibility.

scholarly journals Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlie A. Sewalt ◽  
Benjamin Y. Gravesteijn ◽  
Daan Nieboer ◽  
Ewout W. Steyerberg ◽  
Dennis Den Hartog ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Trauma Center ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Absolute Benefit ◽  
Predicted Probability ◽  
Prehospital Triage ◽  
Level 1 ◽  
Level 1 Trauma Center ◽  
Level 2

Abstract Background Prehospital triage protocols typically try to select patients with Injury Severity Score (ISS) above 15 for direct transportation to a Level-1 trauma center. However, ISS does not necessarily discriminate between patients who benefit from immediate care at Level-1 trauma centers. The aim of this study was to assess which patients benefit from direct transportation to Level-1 trauma centers. Methods We used the American National Trauma Data Bank (NTDB), a retrospective observational cohort. All adult patients (ISS > 3) between 2015 and 2016 were included. Patients who were self-presenting or had isolated limb injury were excluded. We used logistic regression to assess the association of direct transportation to Level-1 trauma centers with in-hospital mortality adjusted for clinically relevant confounders. We used this model to define benefit as predicted probability of mortality associated with transportation to a non-Level-1 trauma center minus predicted probability associated with transportation to a Level-1 trauma center. We used a threshold of 1% as absolute benefit. Potential interaction terms with transportation to Level-1 trauma centers were included in a penalized logistic regression model to study which patients benefit. Results We included 388,845 trauma patients from 232 Level-1 centers and 429 Level-2/3 centers. A small beneficial effect was found for direct transportation to Level-1 trauma centers (adjusted Odds Ratio: 0.96, 95% Confidence Interval: 0.92–0.99) which disappeared when comparing Level-1 and 2 versus Level-3 trauma centers. In the risk approach, predicted benefit ranged between 0 and 1%. When allowing for interactions, 7% of the patients (n = 27,753) had more than 1% absolute benefit from direct transportation to Level-1 trauma centers. These patients had higher AIS Head and Thorax scores, lower GCS and lower SBP. A quarter of the patients with ISS > 15 were predicted to benefit from transportation to Level-1 centers (n = 26,522, 22%). Conclusions Benefit of transportation to a Level-1 trauma centers is quite heterogeneous across patients and the difference between Level-1 and Level-2 trauma centers is small. In particular, patients with head injury and signs of shock may benefit from care in a Level-1 trauma center. Future prehospital triage models should incorporate more complete risk profiles.

Trauma Center Outcomes After Transition From Level 2 to Level 1: A National Trauma Data Bank Analysis

2021 ◽  
Vol 264 ◽  
pp. 499-509
Author(s):  
Sung Huang Laurent Tsai ◽  
Greg Michael Osgood ◽  
Joseph K. Canner ◽  
Amber Mehmood ◽  
Oluwafemi Owodunni ◽  
...  
Keyword(s):  
Trauma Center ◽  
Data Bank ◽  
National Trauma ◽  
National Trauma Data Bank ◽  
Level 1 ◽  
Level 2
Sign in / Sign up

Export Citation Format

Share Document