- Data, Data Quality, and Descriptive Statistics

2015 ◽  
pp. 28-45
Keyword(s):  
Data Quality ◽  
Descriptive Statistics

scholarly journals Faktor-Faktor yang Mempengaruhi Kinerja Manajer Proyek pada Proyek Konstruksi

2015 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Amri Gunasti
Keyword(s):  
Job Satisfaction ◽  
Data Analysis ◽  
Data Quality ◽  
Work Environment ◽  
Significant Influence ◽  
Construction Projects ◽  
Construction Project ◽  
Project Manager ◽  
Descriptive Statistics ◽  
Construction Work

Faktor-Faktor yang Mempengaruhi Kinerja Manajer Proyek pada Proyek KonstruksiThe Factors That Affecting Performance of Project Manager In Project ContructionAmri GunastiJurusan Teknik Sipil-Fakultas Teknik Universitas Muhammadiyah JemberAlamat korespondensi Jl. Karimata No. 49 JemberEmail : [email protected] achieve the goal of the project owners, consultants and contractors on construction projects will greatly depend project manager’s performance. To maximize the performance of the project manager, steakholder have to know anything what is mempenguruhi performance .. So far very few references about the factors that affect the performance of the project manager on construction work. Given the construction project is a very unique job then identify the factors that affect the performance of the project manager is a necessity. To get the data, both primary and secondary research conducted in Jember district. Data analysis was performed with descriptive statistics, such as test data quality, classic assumption test, and hypothesis testing. Based on the analysis of data turns out there is a positive and significant influence between Compensation, Motivation, Competence, Work Environment and Job Satisfaction with Performance Construction Project Manager in Jember that produces t value amounted to sequentially each for Compensation 10.341, 9.231 for motivation, 8.621 to competence, to 7.421 and 7.451 for the Work Environment Job Satisfaction.Keywords: Performance, Manager, Project Construction.AbstrakUntuk mencapai tujuan pemilik proyek, konsultan serta kontraktor pada proyek konstruksi sangat tergantung akan kinerja manajer proyek. Untuk memaksimalkan kinerja manajer proyek, steakholder harus mengetahui apasaja yang mempenguruhi kinerjanya.. Selama ini sangat sedikit referensi tentang faktor-faktor yang mempengaruhi kinerja manajer proyek pada pekerjaan konstruksi. Mengingat proyek konstruksi merupakan pekerjaan yang sangat unik maka identifikasi faktor-faktor yang mempengaruhi kinerja manajer proyek merupakan sebuah keniscayaan. Untuk mendapatkan data, baik primer maupun skunder dilakukan penelitian di kabupaten Jember. Analisis data dilakukan dengan statistik deskriptif, berupa uji kualitas data, uji asumsi klasik, serta uji hipotesis. Berdasarkan hasil analisis data ternyata terdapat pengaruh yang positif dan signifikan antara Kompensasi, Motivasi, Kompetensi, Lingkungan Kerja, serta Kepuasan Kerja dengan Kinerja Manajer Proyek Konstruksi yang ada di Kabupaten Jember yang menghasilkan nilai t hitung sebesar secara berurutan masing-masing 10,341 untuk Kompensasi, 9,231 untuk motivasi, 8,621 untuk Kompetensi, untuk 7,421 Lingkungan Kerja serta 7,451 untuk Kepuasan Kerja.Kata kunci : Kinerja, Manajer, Proyek, Konstruksi.

PENGARUH TEKANAN KETAATAN, GENDER, KOMPLEKSITAS TUGAS, INDEPENDENSI, DAN PENGALAMAN AUDITOR TERHADAP AUDIT JUDGMENT

2019 ◽  
Vol 27 (1) ◽  
pp. 63-74
Author(s):  
Irfan Priyoga ◽  
Sri Ayem
Keyword(s):  
Data Quality ◽  
Task Complexity ◽  
Descriptive Statistics ◽  
Financial Supervision ◽  
Primary Data ◽  
Analysis Tool ◽  
Significant Positive Effect ◽  
Audit Judgment ◽  
Pressure Variable ◽  
Positive Effect

This study analyzes the influence of pressure obedience, gender, task complexity, independence, and auditor experience on audit judgment. The population in this study were auditors who worked in the financial supervision agency and the construction of representatives of special regions of Yogyakarta. The type of data carried out in this study is primary data. The data in this study which will be analyzed using an analysis tool consisting of data quality test, descriptive statistics, classical assumption test, and hypothesis testing with the help of SPSS version 16.0 program. the results of this study partially (t test), namely the pressure variable obedience, gender, and independence does not affect audit judgment. While task complexity variables and auditor experience have a significant positive effect on audit judgment. For simultaneous results (f test) together affect audit judgment.

scholarly journals PENGARUH TEKANAN KETAATAN, GENDER, KOMPLEKSITAS TUGAS, INDEPENDENSI, DAN PENGALAMAN AUDITOR TERHADAP AUDIT JUDGMENT

2019 ◽  
Vol 27 (1) ◽  
pp. 61-72
Author(s):  
Irfan Priyoga ◽  
Sri Ayem
Keyword(s):  
Data Quality ◽  
Task Complexity ◽  
Descriptive Statistics ◽  
Financial Supervision ◽  
Primary Data ◽  
Analysis Tool ◽  
Significant Positive Effect ◽  
Audit Judgment ◽  
Pressure Variable ◽  
Positive Effect

This study analyzes the influence of pressure obedience, gender, task complexity, independence, and auditor experience on audit judgment. The population in this study were auditors who worked in the financial supervision agency and the construction of representatives of special regions of Yogyakarta. The type of data carried out in this study is primary data. The data in this study which will be analyzed using an analysis tool consisting of data quality test, descriptive statistics, classical assumption test, and hypothesis testing with the help of SPSS version 16.0 program. the results of this study partially (t test), namely the pressure variable obedience, gender, and independence does not affect audit judgment. While task complexity variables and auditor experience have a significant positive effect on audit judgment. For simultaneous results (f test) together affect audit judgment.

scholarly journals A thematic analysis of the prevention of future deaths reports in healthcare from HM coroners in England and Wales 2016–2019

2021 ◽  
Vol 26 (1) ◽  
pp. 14-21
Author(s):  
Alison Leary ◽  
David Bushe ◽  
Crystal Oldman ◽  
Jessica Lawler ◽  
Geoffrey Punshon
Keyword(s):  
Patient Safety ◽  
Data Quality ◽  
Workforce Development ◽  
Thematic Analysis ◽  
Descriptive Statistics ◽  
Valuable Insight ◽  
Cultural Issues ◽  
England And Wales ◽  
Statutory Duty ◽  
Informed Patient

Background The Coroners and Justice Act allows coroners in England or Wales to issue reports after inquest, if they believe that action should be taken to prevent a future death. Coroners are under a statutory duty to issue a Prevention of Future Death (PFD) report to persons or organisations that they believe have the power to act. Cumulatively, these reports may contain useful intelligence for patient safety. The aim of this study was to examine the feasibility of extracting data from these reports and to evaluate if learning was possible from any common themes. Methods Reports were extracted from 2016 to 2019 for deaths in hospitals, care homes and the community in England and Wales. These were subjected to descriptive statistics and thematic analysis of coroner’s concerns. Application of data mining techniques was not possible due to data quality. Results 710 reports were examined, with 3469 concerns being raised (mean 4.88, range 1–33). 36 reports expressed concern about having to issue repeat PFDs to the same organisation for the same or similar concerns. Thematic analysis reliability was high ( κ 0.89 unweighted) with five emerging primary themes: deficit in skill or knowledge, missed, delayed or uncoordinated care, communication and cultural issues, systems issues and lack of resources. A codebook of 53 subthemes were identified. Conclusions PFD reports offer valuable insight. Aggregation and continued analysis of these reports could offer more informed patient safety, workforce development and organisational policy. Improved data quality would allow for possible automation of analysis and faster feedback into practice.

scholarly journals EFEKTIVITAS PROGRAM KELUARGA HARAPAN TERHADAP PEMBERDAYAAN MASYARAKAT DI DESA KANIE KECAMATAN MARITENGNGAE KABUPATEN SIDENRENG RAPPANG

2021 ◽  
Vol 9 (2) ◽  
pp. 78-83
Author(s):  
HASTIRANI HASTIRANI ◽  
KAMARUDDIN SELLANG ◽  
LUKMAN LUKMAN
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Data Quality ◽  
Sampling Technique ◽  
Community Empowerment ◽  
Descriptive Statistics ◽  
Factors Influencing ◽  
Analysis Technique ◽  
The Family

This study aims to determine the Effectiveness of the Family Hope Program on Community Empowerment in Kanie Village, Maritengngae District, Sidenreng Rappang Regency and to determine the Factors Influencing the Effectiveness of the Family Hope Program in Kanie Village, Maritengngae District, Sidenreng Rappang Regency. The population in this study were 91 Beneficiary Families of the Family Hope Program in Kanie Village where the sampling used a saturated sampling technique with the Arikunto formula, namely taking all subjects if less than 100 people, so that the sample amounted to 91 people. Data collection techniques used in this study were observation, literature review, and questionnaires. The data analysis technique used is descriptive statistics with Likert scale and frequency tables, data quality test with SPSS. The results of this study indicate that the effectiveness of the Family Hope Program on Community Empowerment in Kanie Village with a percentage value of 82% is categorized as "Very Good". The factors that influence the effectiveness of the Family Hope Program include: Target (89.6%), Coordination (89.4), Socialization (91.4%), and Amount of assistance (77.4%).

Individual Differences in Students' Preferences for Lecturers' Personalities

2005 ◽  
Vol 26 (4) ◽  
pp. 176-184 ◽  
Author(s):  
Adrian Furnham ◽  
Tomas Chamorro-Premuzic
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Big Five ◽  
Student Ratings ◽  
Descriptive Statistics ◽  
Personality Profile ◽  
Similarity Effect ◽  
Intelligence Scores ◽  
The Relationship

Abstract. This study examines the relationship between students' personality and intelligence scores with their preferences for the personality profile of their lecturers. Student ratings (N = 136) of 30 lecturer trait characteristics were coded into an internally reliable Big Five taxonomy ( Costa & McCrae, 1992 ). Descriptive statistics showed that, overall, students tended to prefer conscientious, open, and stable lecturers, though correlations revealed that these preferences were largely a function of students' own personality traits. Thus, open students preferred open lecturers, while agreeable students preferred agreeable lecturers. There was evidence of a similarity effect for both Agreeableness and Openness. In addition, less intelligent students were more likely to prefer agreeable lecturers than their more intelligent counterparts were. A series of regressions showed that individual differences are particularly good predictors of preferences for agreeable lecturers, and modest, albeit significant, predictors of preferences for open and neurotic lecturers. Educational and vocational implications are considered.

A Review of Failure Handling Mechanisms for Data Quality Measures

2012 ◽  
Author(s):  
Nurul A. Emran ◽  
Noraswaliza Abdullah ◽  
Nuzaimah Mustafa
Keyword(s):  
Data Quality ◽  
Quality Measures ◽  
Failure Handling

The Role of Technological Change in the Long-run Global Economy Forecasting

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin
Keyword(s):  
Technological Change ◽  
Data Quality ◽  
Long Range ◽  
Global Economy ◽  
World Economy ◽  
Qualitative Approaches ◽  
Long Run ◽  
The World ◽  
National Economies

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.

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