Variations in attack patterns between female and male opposite players in top-level volleyball

International Journal of Sports Science & Coaching ◽

10.1177/17479541211030633 ◽

2021 ◽

pp. 174795412110306

Author(s):

Konstantinos Sotiropoulos ◽

Sotirios Drikos ◽

Karolina Barzouka

Keyword(s):

Logistic Regression ◽

Multinomial Logistic Regression ◽

Men And Women ◽

Attack Patterns ◽

Inferential Analysis

In volleyball, the opposite player is the most requested hitter since she/he is the player with a higher probability of successfully carrying out attacks. The main objective of this study was to analyze variables that predicted attack effectiveness, in top-level teams depending on gender. Inferential analysis and multinomial logistic regression were applied to analyze 1512 attacks of men and women opposite players from 79 sets of the six top-ranked teams in the Men and Women 2018 World Championships. The analysis revealed that in female volleyball to increase the odds for a winning attack from the opposite player, teams have to pass the ball more accurately, setters have to set in a faster tempo and opposites avoid off-speed attack and spike in a diagonal direction from position 2. On the contrary, in male volleyball the odds for a winning attack from the opposite player are increased when male setters set accurate to the pre-agreement point on the net independent of the quality of the previous pass, opposite players hit in parallel and volleyball coaches select proper line-up and process tactical substitutions to increase the number of rotations with an opposite player in the offensive zone.

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Discrepancy Between Perceived Diet Quality and Actual Diet Quality Among US Adult Cancer Survivors (OR14-05-19)

Current Developments in Nutrition ◽

10.1093/cdn/nzz030.or14-05-19 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

Author(s):

Hong Xue ◽

Jin Liu

Keyword(s):

Logistic Regression ◽

Cancer Survivors ◽

Diet Quality ◽

Regression Models ◽

Vegetable Intake ◽

Multinomial Logistic Regression ◽

Calorie Intake ◽

Fruit Intake ◽

Logistic Regression Models

Abstract Objectives Postdiagnosis diet and food choices are essential for survivorship management. However, diet quality of cancer survivors is generally low. This study aimed to examine he temporal trends of diet quality of cancer survivors, assess the discrepancy between perceived diet quality and actual diet quality among cancer survivors, and its impact on their actual diet quality. Methods The National Health and Nutrition Examination Survey (NHANES) data 2005 -2014 were used in this study. Logistic regression models were fit to examine the influence of misperception of eating healthiness on diet quality measured by healthy eating index (HEI). Multinomial logistic regression models were fit to examine the factors that may influence the likelihood of diet quality misperception. Results Between 2005 and 2014, there was an increasing trend in HEI in cancer survivors, with a small but significant increase of 0.7 per year. Non-Hispanic white survivors had a consistent higher total HEI score compared to other race/ethnic groups during this period. There were 11.66%, 29.67% and 38.02% cancer survivors who rated their overall diet quality as excellent, very good, or good, while 16.96% and 3.69% perceived their overall diet as fair and poor respectively. Kappa statistic indicated a low agreement between the self-perceived diet quality and the actual diet quality measured by HEI among cancer survivors (0.06, 95% CI: 0.02, 0.09). with adjustment of age, gender, race/ethnicity, and SES status, over-rate misperception was associated with a 5.39 lower total HEI score P < 0.0001), 1.00 lower HEI score of empty calorie intake (P = 0.0028), 0.15 lower score of vegetable intake (P = 0.108) and 0.29 lower score of fruit intake. On the other hand, under-rate misperception was associated with a 7.12 higher total HEI score P < 0.0001), 2.57 higher HEI score of empty calorie intake (P < 0.0001), 0.02 higher score of vegetable intake (P = 0.904) and 0.84 higher score of fruit intake (P = 0.001). Multinomial logistic regression suggested that higher income was also associated with higher odds of being an over-rater. Individuals with college education or above were more likely to over-rate their diet quality compared to those with high school or under education (OR: 1.32, 95% CI: 1.005 1.732). Moreover, Hispanics were more likely than Non-Hispanic Whites to over-rate their diet quality ( OR: 1.792, 95% CI: 1.062, 3.024). Conclusions The divergence between self-assessed eating health and the HEI measured diet quality was an important factor that may have influenced cancer survivors’ diet behavior and diet quality. Funding Sources NA.

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Pengembangan Indeks Mutu Pelayanan Kesehatan Puskesmas

Media Penelitian dan Pengembangan Kesehatan ◽

10.22435/mpk.v29i3.1156 ◽

2019 ◽

Vol 29 (3) ◽

Author(s):

Hadjar Siswantoro ◽

Hadi Siswoyo ◽

Nurhayati Nurhayati ◽

Delima Tie ◽

Annisa Rizky Afrilia ◽

...

Keyword(s):

Logistic Regression ◽

Health Services ◽

Community Health ◽

Health Center ◽

Structural Equation ◽

Quality Index ◽

Multinomial Logistic Regression ◽

Community Health Center ◽

Convenience Sampling

Abstract Community health center (Puskesmas) as the front line in health services must improved their quality continuously. Therefore, Puskesmas need strong tools to measure their quality. The tool must be used both by the Puskesmas itself and by the health agency. This study aims to develop a reliable quality measurement tool in the form of Health Service Quality Index (HSQI). This study is a cross-sectional and observational. Data collection was conducted in June–October 2017 in. 200 community centers selected by convenience sampling, by assessing the completeness of regulations and documents; observations, simulations, and interviews. The questionnaire consisted of 344 scoring elements (SE) derived from the results of the content vaidity test and the feasibility of answers to questions 776 of the SE accreditation instruments. Data analysis in this study used Structural Equation Modelling (SEM) and multinomial logistic regression analysis. The results of validity and reliability test for construct variables based on Malcolm Baldrige concept of 344 SE showed 179 valid SE with alpha cronbach > 0.8 and r > 0.75. Next to the 179 SE, an SEM is conducted to obtain the first alternative Health Services Quality Index (HSQI) consisting of 88 SE. For these 88 SE the content validity and suitability of the references tests were conducted to obtain a second alternative of HSQI consisting of 18 SE. Finally, multinomial logistic regression was carried out which resulted in 85.4% conformity for the first alternative (88 SE) and 76.7% for the second alternative (18 SE) on the results of the accreditation assessment (basic, intermediate, primary, and plenary). The HSQI can describe the quality of services with a predictive power of over 76% on the result of Puskesmas accreditation, so that the index can be used by community health center to assess the quality of their services more quickly and more easily. Abstrak Pusat Kesehatan Masyarakat (Puskesmas) sebagai barisan terdepan dalam pelayanan kesehatan harus meningkatkan mutunya terus menerus. Oleh karena itu, puskesmas membutuhkan alat yang kuat untuk mengukur kualitasnya. Alat tersebut harus dapat digunakan baik oleh puskesmas sendiri maupun oleh Dinas Kesehatan. Studi ini bertujuan untuk mengembangkan alat ukur mutu yang reliabel dalam bentuk Indeks Mutu Pelayanan Kesehatan (IMPK). Penelitian ini merupakan penelitian observasional secara potong lintang. Pengumpulan data dilakukan pada bulan Juni–Oktober 2017 pada 200 puskesmas penelitian yang dipilih secara convenience sampling, dengan cara menilai kelengkapan regulasi, kelengkapan dokumen, pengamatan, simulasi, dan wawancara. Kuesioner terdiri atas 344 elemen penilaian (EP) yang berasal dari hasil uji validitas isi dan visibilitas jawaban dari pertanyaan 776 EP instrumen akreditasi. Analisis data penelitian ini menggunakan Structural Equation Modeling (SEM) dan analisis regresi secara multinomial logistik. Hasil dari uji validitas dan reliabilitas terhadap variabel konstruk berdasarkan konsep Malcolm Baldrige terhadap 344 EP, menunjukkan 179 EP yang valid dengan alpha cronbach > 0,8 dan r > 0,75. Selanjutnya terhadap 179 EP ini dilakukan analisis SEM sehingga didapatkan IMPK alternatif pertama terdiri dari 88 EP. Terhadap 88 EP ini dilakukan uji validitas isi dan kesesuaiannya dengan referensi sehingga didapatkan IMPK alternatif kedua terdiri dari 18 EP. Akhirnya, dilakukan analisis regresi multinomial logistik yang menghasilkan kesesuaian 85,4% untuk alternatif pertama (88 EP) dan 76,7% untuk alternatif kedua (18 EP) terhadap hasil penilaian akreditasi (dasar, madya, utama, dan paripurna). IMPK ini dapat menggambarkan mutu layanan dengan kekuatan prediksi di atas 76% terhadap hasil akreditasi puskesmas, sehingga indeks tersebut bisa digunakan oleh puskesmas untuk menilai mutu layanannya dengan lebih cepat dan lebih mudah.

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Company's Decision on Virtual Exhibition During Covid-19 Pandemic

International Journal of Scientific Research in Science and Technology ◽

10.32628/ijsrst218433 ◽

2021 ◽

pp. 207-215

Author(s):

Pesta Elrida Lumbantoruan ◽

Wahyudi David

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Data Analysis ◽

Multinomial Logistic Regression ◽

Analysis Method ◽

Multinomial Logistic Regression Analysis ◽

Time Representation ◽

Direct Sales ◽

Online Platforms

The exhibition is one of the promotional tools that increase company branding, product brand as well as awareness of direct sales. Exhibitions are considered investment activities carried out by companies. During pandemic Covid-19, offline exhibitions are impossible to be hosted. As alternative to hosted exhibitions by using virtual or online platforms. However, there is still a need to study to evaluate which factors have a stronger influence and relationship on the exhibition decision. The data analysis method used is multinomial logistic regression analysis. The results showed that the quality of the exhibition, popularity, time, representation, and price determine the company's decision to join an exhibition. It concludes that the company's decision is influenced by these factors 65% and three factors are having a significant influence for joining the exhibition.

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The impact of reproductive choices on the quality of life for men and women in the 1980's

PsycEXTRA Dataset ◽

10.1037/e569832012-008 ◽

1981 ◽

Author(s):

Susan Bram

Keyword(s):

Quality Of Life ◽

Men And Women ◽

Reproductive Choices ◽

The Impact

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Assessing damage severity of plant hopper and leaf folder in rice using hyperspectral remote sensing and multinomial logistic regression models

10.1603/ice.2016.93420 ◽

2016 ◽

Author(s):

Mathyam Prabhakar

Keyword(s):

Remote Sensing ◽

Logistic Regression ◽

Regression Models ◽

Multinomial Logistic Regression ◽

Hyperspectral Remote Sensing ◽

Logistic Regression Models

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Public knowledge, perception and communication behavior surrounding COVID-19 in Malaysia

10.31124/advance.12102816 ◽

2020 ◽

Author(s):

Khayriyyah Mohd Hanafiah ◽

Chang Da Wan

Keyword(s):

Logistic Regression ◽

Employment Status ◽

Multinomial Logistic Regression ◽

Movement Control ◽

Education Level ◽

Public Knowledge ◽

Communication Behavior ◽

Positive Communication ◽

The Face ◽

Control Order

The COVID-19 pandemic is the first to occur in an age of hyperconnectivity. This paper presents results from an online anonymous survey conducted in Malay, English, and Chinese, during the first week of the Movement Control Order in Malaysia (n=1075), which aimed to examine public knowledge, perception and communication behavior in the Malaysian society in the face of a sudden outbreak and social distancing measures. Although the level of public knowledge, risk perception and positive communication behavior surrounding COVID-19 was high, a majority of respondents reported receiving a lot of questionable information. Multinomial logistic regression further identified that responses to different items varied significantly across respondent survey language, gender, age, education level and employment status.

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