scholarly journals Conjugate Bayesian unit‐level modelling of count data under informative sampling designs

Stat ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Paul A. Parker ◽  
Scott H. Holan ◽  
Ryan Janicki
Keyword(s):  
Count Data ◽  
Unit Level ◽  
Informative Sampling

Regression Analysis of Count Data

1998 ◽  
Author(s):  
A. Colin Cameron ◽  
Pravin K. Trivedi
Keyword(s):  
Regression Analysis ◽  
Count Data

Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

2020 ◽  
Vol 36 (5) ◽  
pp. 852-863 ◽  
Author(s):  
George Gunnesch-Luca ◽  
Klaus Moser
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Helping Behavior ◽  
Citizenship Behavior ◽  
German Language ◽  
Individual Level ◽  
Unit Level ◽  
Confirmatory Factor ◽  
Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.

2020 ◽  
Author(s):  
James L. Peugh ◽  
Sarah J. Beal ◽  
Meghan E. McGrady ◽  
Michael D. Toland ◽  
Constance Mara
Keyword(s):  
Count Data ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Longitudinal Count Data

Sae: A Stata Package For Unit Level Small Area Estimation

2018 ◽  
Author(s):  
Minh Cong Nguyen ◽  
Paul Corral ◽  
Joao Pedro Azevedo ◽  
Qinghua Zhao
Keyword(s):  
Small Area ◽  
Small Area Estimation ◽  
Area Estimation ◽  
Unit Level

Administrasi Kurikulum

2019 ◽  
Author(s):  
Fadia Kalma Lailani
Keyword(s):  
Curriculum Development ◽  
Teaching And Learning ◽  
School Management ◽  
Educational Goals ◽  
Curriculum Management ◽  
Level Of Education ◽  
Unit Level ◽  
Entire Process ◽  
School Committees ◽  
Quality School

abstrak— The purpose of making this article is to help prepare quality school management, especially with regard to curriculum management which will be implemented at the level of the education unit at the school, both done by teachers, school committees, principals, and parties related to curriculum development at the unit level of education. Hopefully this article can provide information in order to create quality school management which of course must be based on quality curriculum management as well. curriculum administration is the entire process of activities planned deliberately to the situation of teaching and learning effectively and efficiently in order to help the achievement of educational goals that have been set.

Exploring Attendance at a Traditional Cultural Event: The Case of a Holy Week Celebration

2020 ◽  
Vol 24 (1) ◽  
pp. 153-168
Author(s):  
Víctor Lafuente ◽  
José Ángel Sanz ◽  
María Devesa
Keyword(s):  
Cultural Capital ◽  
Cultural Heritage ◽  
Count Data ◽  
Data Model ◽  
Social Aspects ◽  
Social Nature ◽  
The World ◽  
Local Residents ◽  
The City ◽  
Complex Expression

Holy Week is one of the most important traditions in many parts of the world and a complex expression of cultural heritage. The main goal of this article is to explore which factors determine participation in Holy Week celebrations in the city of Palencia (Spain), measured through the number of processions attended. For this purpose, an econometric count data model is used. Variables included in the model not only reflect participants' sociodemographic features but other factors reflecting cultural capital, accumulated experience, and social aspects of the event. A distinction is drawn between three types of participants: brotherhood members, local residents, and visitors, among whom a survey was conducted to collect the information required. A total of 248 surveys were carried out among brotherhood members, 209 among local residents, and 259 among visitors. The results confirm the religious and social nature of this event, especially in the case of local participants. However, in the case of visitors, participation also depends on aspects reflecting the celebration's cultural and tourist dimension—such as visiting other religious and cultural attractions—suggesting the existence of specific tourism linked to the event. All of this suggests the need to manage the event, ensuring a balance is struck between the various stakeholders' interests and developing a tourist strategy that prioritizes public-private cooperation.

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