scholarly journals Representasi Sosial tentang Tragedi Semanggi pada Mahasiswa Unika Atma Jaya

MANASA ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 36-46
Author(s):  
Ferdinand Prawiro ◽  
Sarah Andruina Rahma
Keyword(s):  
Content Analysis ◽  
Goodness Of Fit ◽  
Word Association ◽  
Central Core ◽  
Chi Square ◽  
Expected Frequency

Peristiwa Tragedi Semanggi terjadi pada tanggal 13 November 1998. Hampir setiap tahun terdapat kelompok mahasiswa Unika Atma Jaya melakukan aksi memperingati Tragedi Semanggi walaupun mereka tidak mengalami langsung peristiwa tersebut. Namun sebagian besar mahasiswa tidak ikut memperingati Tragedi Semanggi. Penelitian ini bertujuan memahami perbedaan keterlibatan dalam aksi peringatan Tragedi Semanggi melalui konsep representasi sosial, dengan pendekatan struktural. Pendekatan ini memandang bahwa isi representasi sosial suatu kelompok mencakup dua sistem, yaitu central core dan peripheral. Metode penelitian ini berjenis kuantitatif dan melalui dua tahap. Tahap pertama bertujuan mengidentifikasi atribut representasi sosial tentang Tragedi Semanggi, dan tahap kedua bertujuan mengidentifikasi atribut mana yang berada di central core dan peripheral. Penelitian ini melibatkan 230 partisipan pada tahap pertama dan 206 partisipan pada tahap kedua, yang diperoleh melalui accidental sampling. Data penelitian diperoleh dengan kuesioner online dengan teknik word association pada tahap pertama dan teknik calling-into-question pada tahap kedua. Analisis data tahap pertama menggunakan content analysis, sedangkan pada tahap kedua menggunakan chi-square goodness of fit dengan ⅔ expected frequency. Hasil penelitian menemukan 18 atribut representasi sosial tentang Tragedi Semanggi, yaitu: “korban”, “mahasiswa”, “situasi yang kacau”, “demonstrasi”, “aparat negara”, “perilaku kekerasan”, “perlawanan”, “pelanggaran hukum dan HAM”, “Atma Jaya”, “perasaan takut”, “masa lalu”, “pemerintah”, “reformasi”, “ketidakadilan”, “politik”, “belum selesai”, “orde baru”, “perasaan sedih”. Perbedaan antara kelompok partisipan aksi dan kelompok nonpartisipan aksi terletak pada atribut “belum selesai” dan “reformasi”.

Content Analysis of Athletic Policies from Selected Interscholastic Athletic Handbooks

1991 ◽  
Vol 5 (2) ◽  
pp. 144-152
Author(s):  
James H. Conn
Keyword(s):  
High School ◽  
Content Analysis ◽  
Public Relations ◽  
Goodness Of Fit ◽  
Student Athletes ◽  
Chi Square ◽  
Fiscal Management ◽  
Policy Statements ◽  
Policy Content ◽  
The U.S

The present study investigated the extent of coverage and distribution of policy content within selected interscholastic athletic handbooks. A total of 400 high schools in the U.S., each state represented by 8 schools, were systematically selected to participate in the study. Each high school was asked to submit its athletic handbook to be examined for content. The content was tabulated in the categories of personnel, student athletes and cheerleaders, medical treatment and safety, organization and governance, public relations, management of events, facilities/equipment/suppiies, fiscal management, and transportation. To determine the uniformity of distribution between major categories and within subcategories, chi square tests of goodness-of-fit were used. Some 40% of the policy statements were found in the categories of personnel (22.9%) and student athletes and cheerleaders (18.0%). Less than 10% of the total were found in fiscal management (4.7%) and transportation (3.6%).

Prediction of Haemoglobin Level by Some Probability Distribution

2020 ◽  
Vol 9 (1) ◽  
pp. 84-88
Author(s):  
Govinda Prasad Dhungana ◽  
Laxmi Prasad Sapkota
Keyword(s):  
Probability Distribution ◽  
Normal Distribution ◽  
Goodness Of Fit ◽  
Continuous Variable ◽  
Hemoglobin Level ◽  
Chi Square ◽  
Chi Square Test ◽  
Log Normal ◽  
Two Parameters ◽  
Best Fit

 Hemoglobin level is a continuous variable. So, it follows some theoretical probability distribution Normal, Log-normal, Gamma and Weibull distribution having two parameters. There is low variation in observed and expected frequency of Normal distribution in bar diagram. Similarly, calculated value of chi-square test (goodness of fit) is observed which is lower in Normal distribution. Furthermore, plot of PDFof Normal distribution covers larger area of histogram than all of other distribution. Hence Normal distribution is the best fit to predict the hemoglobin level in future.

The ffs Allele Conditions Flower Stem Fasciation in Red Beet

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 527f-528
Author(s):  
I.L. Goldman
Keyword(s):  
Genetic Control ◽  
Inbred Line ◽  
Goodness Of Fit ◽  
Female Parent ◽  
Inbred Lines ◽  
Chi Square ◽  
Recessive Character ◽  
Variable Expression ◽  
Red Beet ◽  
Flower Stem

A fasciated flower stem character arose spontaneously during development of the red beet (Beta vulgaris L.) inbred line W411. The fasciated character is manifest by a flattened flower stem with petioles coalesced into a twisted, ribbonlike appearance. No fasciation is present in the vegetative stem or petioles. An inheritance study was conducted to determine the genetic control of flower stem fasciation. The inbred line W411 was used both as a male and female parent in crosses with four red beet inbred lines. Segregating progenies in both the BC1 and F2 generations were developed and scored for the fasciated flower stem character. Variable expression of the fasciated flower stem phenotype was observed in these progenies; however, the presence of flattened flower stems at the stem/hypocotyl junction was unequivocal. Chi-square goodness-of-fit tests in both the BC1 and F2 generations did not deviate significantly from expected ratios for a monogenic recessive character for each genetic background. No reciprocal differences were detected for any cross in this group of four inbred lines, which suggests the lack of maternal effect for the fasciated character. The symbol ffs is proposed to describe the genetic control of the fasciated flower stem phenotype.

scholarly journals Using Benford’s law to assess the quality of COVID-19 register data in Brazil

2020 ◽  
Author(s):  
Lucas Silva ◽  
Dalson Figueiredo Filho
Keyword(s):  
Goodness Of Fit ◽  
Epidemiological Surveillance ◽  
Evidence Based ◽  
Mean Absolute Deviation ◽  
Chi Square ◽  
Absolute Deviation ◽  
Distortion Factor ◽  
Benford Law ◽  
Official Data

Abstract We employ Newcomb–Benford law (NBL) to evaluate the reliability of COVID-19 figures in Brazil. Using official data from February 25 to September 15, we apply a first digit test for a national aggregate dataset of total cases and cumulative deaths. We find strong evidence that Brazilian reports do not conform to the NBL theoretical expectations. These results are robust to different goodness of fit (chi-square, mean absolute deviation and distortion factor) and data sources (John Hopkins University and Our World in Data). Despite the growing appreciation for evidence-based-policymaking, which requires valid and reliable data, we show that the Brazilian epidemiological surveillance system fails to provide trustful data under the NBL assumption on the COVID-19 epidemic.

Towards a well-informed rental housing policy in Ghana: differentiating between critics and non-critics of the rent advance system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Richmond Juvenile Ehwi ◽  
Lewis Abedi Asante ◽  
Emmanuel Kofi Gavu
Keyword(s):  
Housing Policy ◽  
Goodness Of Fit ◽  
Rental Housing ◽  
Chi Square ◽  
Content Type ◽  
Housing Characteristics ◽  
Employment Sector ◽  
General Elections ◽  
The One ◽  
Formal And Informal Sectors

Purpose In Ghana, the practice of landlords demanding that renters pay rent advance (RA) of between six months and five years is well noted. Surprisingly, renters appear divided into the benefits and drawbacks of the rent advance payment. Ahead of the 2020 general elections, the two leading political parties in Ghana promised to establish a rent assistance scheme to help renters working in the formal and informal sectors and earning regular incomes to pay their RA. This paper aims to scrutinize the differences in the demographic, employment and housing characteristics between the critics and non-critics of the RA payment in Ghana and the factors that predict the likelihood of being a critic of the RA system. Design/methodology/approach The study is exploratory and draws empirical data from surveys administered to 327 graduate renters from 13 regions in Ghana. It uses non-parametric and parametric tests, namely, Chi-square goodness-of-fit and T-test to explore these differences between both critics and non-critics of the RA. Findings There are statistically significant differences between critics and non-critics in terms of the association between their educational attainment on the one hand and their marital status, employment status and employment sector on the other hand. The research also reveals that monthly expenditures, number of bedrooms and RA period significantly predict the likelihood of being a critic of the RA payment or otherwise. Practical implications The study provides evidence which policymakers can draw upon to inform housing policy. Originality/value The study is the first to study the housing characteristics of graduate renters and to quantitatively distinguish between critics and non-critics of RA payment in Ghana.

ANALISIS PENGARUH PENYELESAIAN KONFLIK ANTAR KARYAWAN TERHADAP STRES KERJA DAN KINERJA KARYAWAN PADA PT. PERUSAHAAN GAS NEGARA, Tbk SURABAYA

2018 ◽  
Vol 2 (6) ◽  
pp. 665-679
Author(s):  
Rohmah Kurniawati ◽  
Waloyo Waloyo ◽  
Priyo Utomo
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Chi Square ◽  
Equation Modelling ◽  
Fit Index

Konflik, perselisihan, dan pertentangan dapat terjadi dimana saja, kapan saja, antar siapa saja dan menyangkut hal apa saja, sehingga konflik pun dapat terjadi ditempat kerja. Dalam lingkungan kerja, konflik antar karyawan yang terjadi sebaiknya diselesaikan dengan baik karena konflik yang dapat diselesaikan akan menurunkan tingkat stres dan meningkatkan kinerja karyawan. Dari latar belakang tersebut maka penelitian ini bertujuan untuk mengetahui pengaruh penyelesaian konflik antar karyawan terhadap stres kerja dan kinerja karyawan pada PT. Perusahaan Gas Negara, Tbk Surabaya. Untuk mencapai tujuan penelitian maka teknik analisis yang digunakan adalah Structural Equation Modelling (SEM) dengan program AMOS 4.01. Variabel pada penelitian ini adalah penyelesaian konflik antar karyawan yang terdiri dari : variabel kerjasama, variabel bersaing, variabel menghindar, variabel akomodasi dan variabel kompromi, sedangkan variabel terikat yang digunakan adalah variabel stres kerja dan variabel kinerja karyawan. Data yang digunakan didasarkan pada hasil kuesioner yang dibagikan kepada responden, responden pada penelitian ini adalah karyawan PT. Perusahaan Gas Negara, Tbk Surabaya. Analisis hasil pengujian Goodness-Of Fit Index, menunjukkan data mempunyai kecocokan yang baik dengan model penelitian dengan hasil Chi Square = 154,229 dan koefisien determinan ( R2 ) dalam model SEM ditunjukkan oleh nilai AGFI = 0,792 yang masih berada di bawah Cut Off Value, namun sudah dapat dikatakan bahwa model sudah Fit dalam uji model SEM. Model menunjukkan terdapat pengaruh langsung antara variabel kerjasama, bersaing, menghindar, akomodasi dan kompromi terhadap stres kerja dan kinerja karyawan. Karyawan PT. Perusahaan Gas Negara, Tbk Surabaya lebih menyukai penyelesaian konflik dengan cara Kompromi hal ini didasarkan pada perhitungan dari data yang diolah bahwa penyelesaian konflik antar karyawan dengan cara ini memberikan kontribusi terbesar dalam menurunkan stres kerja, sedangkan penyelesaian konflik antar karyawan dengan cara bersaing memberikan kontribusi terbesar terhadap kinerja karyawan. Karyawan menganggap bahwa kedua cara ini dianggap sebagai cara yang efektif dalam menciptakan hubungan kerja dan terciptanya keharmonisan dalam berorganisasi.

DISTRIBUTIONAL ANALYSIS OF RELATED SYNSETS IN WordNet FOR A WORD SENSE DISAMBIGUATION TASK

2005 ◽  
Vol 14 (06) ◽  
pp. 919-934 ◽  
Author(s):  
KOSTAS FRAGOS ◽  
YANIS MAISTROS
Keyword(s):  
Target Word ◽  
Goodness Of Fit ◽  
Hypothesis Test ◽  
Word Sense Disambiguation ◽  
The Other ◽  
Reasonable Assumption ◽  
P Value ◽  
Word Sense ◽  
Chi Square ◽  
Sense Disambiguation

This work presents a new method for an unsupervised word sense disambiguation task using WordNet semantic relations. In this method we expand the context of a word being disambiguated with related synsets from the available WordNet relations and study within this set the distribution of the related synset that correspond to each sense of the target word. A single sample Pearson-Chi-Square goodness-of-fit hypothesis test is used to determine whether the null hypothesis of a composite normality PDF is a reasonable assumption for a set of related synsets corresponding to a sense. The calculated p-value from this test is a critical value for deciding the correct sense. The target word is assigned the sense, the related synsets of which are distributed more "abnormally" relative to the other sets of the other senses. Our algorithm is evaluated on English lexical sample data from the Senseval-2 word sense disambiguation competition. Three WordNet relations, antonymy, hyponymy and hypernymy give a distributional set of related synsets for the context that was proved quite a good word sense discriminator, achieving comparable results with the system obtained the better results among the other competing participants.

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