1,720,971 research outputs found
Impact of Organization Internal Factors on Ethical Intensity of Accountants in Afghanistan
This study aims to investigate the correlation and consistency of the internal factors to organization that affect the ethical intensity of accountants at workplace in Afghanistan. To investigate this, an ethical scenario based questionnaire was developed and distributed to 250 professional and non-professional accountants who work in auditing and accounting firms in Afghanistan. For statistical analysis, ∂ Cronbach’s model is initially applied and it is further tested by KMO, Bartlett’s test and factor analysis to assure an accurate result. The statistical analysis reflects a highly reliable ∂ ≥ 0.9 of the data and indicates a strong correlation of the internal factors by + ≥ 0.68 (F1 through F10) that affect the ethical intensity of the accountants. The constructed null hypothesis is tested and on the basis of the statistical analysis and the result of study, it is therefore refuted
Modelling the Clustering Volatility of India's Wholesales Price Index and the Factors Affecting it
This paper proposes to examine the clustering volatility of India’s Wholesale Price Index throughout the period 1960 to 2014 by applying the ARCH(1) and GARCH(1) model. The pre-conditional requirement for the computation of ARCH (1,1) required us to perform several other tests i.e. Dickey Fuller, Ordinary Least Squared Regression and post OLS tests for investigating the ARCH effect in the first difference of WPI. The statistical analysis reveals a p-value of the GARCH mean model by 0.569 which is not significant at α 0.05 to explain that the previous period’s volatility can influence the WPI and the coefficient of WPI at first difference exhibits a value of less than 1 which is nice in magnitude with a p-value of ARCH by 0.005 at ∂ 0.05 which is significant to explain the volatility of WPI. The diagnostic test of autocorrelation in the residuals reveals that the residuals are white noise by exhibiting a corresponding probability value of 0.3757. Since, the overarching objective of this paper is to examine the clustering volatility of the aforementioned variable with regards to internal shocks, there might have been other factors of external shocks on WPI that are deliberately overlooked in this paper
An economic growth model: Evaluating the interaction of market consumption with GDP growth rate in Afghanistan
In this paper, we argue that the market consumption is one of the major and significant elements of Gross Domestic Product driver in Afghanistan for which the competeting null hypothesis that consumption drives the GDP growth is tested. The statistical analysis based on Semi-long regression economic growth model shows a significant corresponding probability value of 0.000 which shows that consumption drives GDP growth while the coefficient exhibits 0.1534 or 15.34% growth of GDP driven by consumption throughout the period 2001 to 2014. Further statistical analysis obtained from the Breusch-Godfrey and Breusch – Pegan-Godfrey LM tests for investigating the existence of any serial correlation within the series support us to reject the null hypothesis that there is no serial correlation within the series. On the other hand, the Jarque-Bera test of normality shows a p-value of 0.3099 which is significant and further documents that the residuals are random and normally distributed within the series
Is CPI generated from stationary process? An investigation on unit root hypothesis of India’s CPI
In this paper, the Consumer Price Index (CPI) of India is tested on whether it is generated from a stationary process for the purpose of which, a set of time series data on CPI with 4,420 observation arranged on daily basis from November 10, 2003 to December 16, 2015 is retrieved from the official website of National Bureau of Economic Research. The testing procedure includes fitted OLS regression on which the Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) unit root test are computed. The statistical analysis of both ADF and PP exhibit a smaller test statistic value for CPI than the critical value at 0.05 which means that CPI is not generated from a stationary process and it follows unit root at level, though, it does not follow unit root and it is stationary at its first difference. Therefore, we reject the null hypothesis in favor of the alternative
Annotating Sales to Price Panel: An Economic Theory of Volume to Value Relation with Technology Assisted Education in Afghanistan
Computer Assisted Education skills have opened a new era in the system of education around the globe and one of the building blocks in its adaptation in Afghanistan is the economic aspect of its acquisition and utilization which has weakened the process. In this paper, we test the significance of value to volume of the laptops being sold to and utilized by the students and lecturers at school and university levels throughout the period 2002 to 2014 paneling in five laptop retailing companies in Afghanistan. Using Pooled OLS Regression and Fixed Effect Models to test the impact of the panel data, the result shows a significant impact of the sales value on the sale volume of the laptops during the stated period of time. It is also found that the drop in price had increased the sale volume in the stated entities, while cash discount did not reflect a significant value to affect the sales volume overtime
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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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