1,720,970 research outputs found
Empirical best linear unbiased prediction method for small areas with restricted maximum likelihood and bootstrap procedure to estimate the average of household expenditure per capita in Banjar Regency
No full textPENDEKATAN MODEL MULTILEVEL UNTUK DATA REPEATED MEASURES
No full textData yang diperoleh dari pengukuran berulang (repeated measures) memiliki struktur data longitudinal. Umumnya data dari pengukuran berulang dianalisis menggunakan ANOVA. Data pengukuran berulang dapat dipandang sebagai data hirarki dua level. Waktu pengukuran didefinisikan sebagai Level 1 dan individu didefinisikan sebagai Level 2. Kemudian model multilevel dapat digunakan untuk data ini. Kelebihan model multilevel untuk data longitudinal adalah model multilevel tetap dapat digunakan pada struktur data yang tidak seimbang (unbalance). Studi simulasi digunakan untuk menunjukkan berbagai keuntungan penggunaan model multilevel pada data pengukuran berulang.
Kata kunci: repeated measures, model multileve
Pelanggaran Asumsi Normalitas Model Multilevel Pada Galat Level yang Lebih Tinggi
No full textSecara umum model multilevel digunakan pada populasi yang memiliki struktur hierarki. Dalam data berstruktur hierarki pengamatan-pengamatan diperoleh melalui sampling multistage akibatnya pengamatan-pengamatan tersebut tidaklah benar-benar saling bebas. Analisis multilevel dapat menanggulangi masalah ini dengan menyertakan level yang lebih tinggi ke dalam model. Salah satu asumsi yang digunakan dalam model regresi multilevel, sebut saja 2 level, yaitu galat level 2 berdistribusi normal. Dalam makalah ini dijelaskan secara numerik bagaimana penaksir dari parameter tetap maupun parameter acak dalam model multilevel apabila asumsi normalitas galat level 2 tidak terpenuhi.
Kata-kata kunci: Model Regresi Multilevel, intersep acak, metoda kemungkinan maksimum
PROSEDUR PENAKSIRAN PARAMETER MODEL MULTILEVEL MENGGUNAKAN TWO STAGE LEAST SQUARE DAN ITERATIVE GENERALIZED LEAST SQUARE
No full textDalam pemodelan untuk data hirarki salah satu model yang digunakan yaitu model intersep acak atau biasa disebut juga model efek acak. Penaksiran untuk model intersep acak tidak dapat menggunakan metode kuadrat terkecil biasa. Metode kuadrat terkecil dua tahap (Two Stage Least Square) dapat digunakan untuk mengatsi masalah tersebut (Ringdal 1992). Pendekatan lain yang dapat digunakan adalah metode Generalized Least Square yang memerlukan prosedur iteratif dalam penaksirannya sehingga disebut Iterative Generalized Least Square. Suatu simulasi digunakan untuk membandingkan kedua metode tersebut untuk mencari metode yang terbaik.
Kata kunci: Model Regresi Multilevel, Two Stage Least Square, RIGL
Multilevel poisson regression modelling for determining factors of dengue fever cases in bandung
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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