| Literature DB >> 31828186 |
Abstract
This data article describes a survey dataset on administrative corruption and its main determinants (culture, organizational culture, political instability, and institutional weakness) in addition to social class. Prior research was consulted to determine indicators of the constructs of administrative corruption. Each construct has four reflective indicators while social class has formative variables. All items are measured using a seven-point Likert scale and semantic differential scale types. Through Google Form, I collected 677 responses that reflect the perspective of the general public in Basra, Iraq. The paper shows how to build observed indicators for administrative corruption and its main causes, and a summary of the raw data. The dataset can be reused by other researchers and easily downloaded from the Mendeley Data repository (https://doi.org/10.17632/xh22fsmvmc.2). While the dataset is prepared for building and testing a model using a structural equation modeling approach, it sheds light on the debate regarding an increasingly important topic internationally, and especially in Middle Eastern countries, such as Iraq, that experience high rates of corruption and political instability.Entities:
Keywords: Administrative corruption; Culture; Institutional weakness; Organizational culture; Political instability; Social class
Year: 2019 PMID: 31828186 PMCID: PMC6889175 DOI: 10.1016/j.dib.2019.104820
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Measurable variables of administrative corruption.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| CO1 | Bribery has become one of the manifestations of everyday work in public organizations. | From 1: strongly disagree to 7: strongly agree | 5.65 | 1.71 |
| CO2 | Embezzlement is a widespread phenomenon among public employees. | From 1: strongly disagree to 7: strongly agree | 5.37 | 1.70 |
| CO3 | There is collusion between government departments and construction companies executing government projects. | From 1: strongly disagree to 7: strongly agree | 5.79 | 1.55 |
| CO4 | There is a widespread phenomenon of nepotism in the administrative work of public organizations. | From 1: strongly disagree to 7: strongly agree | 5.72 | 1.66 |
Measurable variables of a corrupt culture.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| C1 | People's reactions to corruption are weak. | From 1: strongly disagree to 7: strongly agree | 5.33 | 2.24 |
| C2 | Many people break laws; for instance, traffic and municipal laws. | From 1: strongly disagree to 7: strongly agree | 5.40 | 2.10 |
| C3 | Religious deterrence is no longer an effective factor in preventing state officials from practicing administrative corruption. | From 1: strongly disagree to 7: strongly agree | 5.61 | 1.83 |
| C4 | Corrupt people are characterized by greed. | From 1: strongly disagree to 7: strongly agree | 6.23 | 1.55 |
Measurable variables of a weak organizational culture.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| A1 | The culture of public organizations has become corrupt. | From 1: very clean to 7: very corrupt | 6.01 | 1.42 |
| A2 | The failure of public employees to comply with a code of conduct is a cause of administrative corruption. | From 1: strongly disagree to 7: strongly agree | 5.69 | 1.64 |
| A3 | The feeling of dissatisfaction among public employees makes them accept administrative corruption. | From 1: strongly disagree to 7: strongly agree | 4.70 | 2.05 |
| A4 | How satisfied are you with the services of public organizations? | From 1: very satisfied to 7: not at all satisfied | 5.82 | 1.78 |
Measurable variables of political instability.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| P1 | Parliament is weak when it comes to investigating the problems of administrative corruption. | From 1: very strong to 7: very weak | 6.31 | 1.51 |
| P2 | There is no real political will to fight administrative corruption. | From 1: strongly disagree to 7: strongly agree | 6.03 | 1.63 |
| P3 | Conflict between parties and sectarian groups has weakened the campaign against administrative corruption. | From 1: strongly disagree to 7: strongly agree | 6.09 | 1.60 |
| P4 | How acceptable is the performance of the local and federal governments? | From 1: very acceptable to 7: not at all acceptable | 5.58 | 1.74 |
Measurable variables of institutional weakness.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| W1 | The administrative work of public organizations is characterized by bureaucracy and complexity of procedures. | From 1: very flexible to 7: very bureaucratic | 5.79 | 1.64 |
| W2 | Appointments in public organizations depend more on nepotism than on qualifications. | From 1: strongly disagree to 7: strongly agree | 6.16 | 1.56 |
| W3 | There is no accountability of employees for misuse of state funds. | From 1: strongly disagree to 7: strongly agree | 5.74 | 1.66 |
| W4 | The use of computers and the Internet in the administrative work of state departments reduces administrative corruption. | From 1: strongly disagree to 7: strongly agree | 4.98 | 1.90 |
Measurable variables of social class.
| Codes | Items | Scale | Mean | SD |
|---|---|---|---|---|
| S1 | What is your highest educational level? | From 1: less than elementary school certificate to 7: PhD | 4.57 | 1.42 |
| S2 | What is your monthly household income? | From 1: less than US$400 to 7: more than US$1400 | 3.81 | 2.04 |
| S3 | How big is your house? | From 1: rent a one-room house to 7: own a five-room house or bigger | 4.50 | 1.86 |
| S4 | If we divide society into seven social strata, to which class do you belong? | From 1: lowest to 7: highest | 4.19 | 1.38 |
Fig. 1What is your highest educational level? (%).
Fig. 2What is your monthly household income? (%).
Fig. 3How big is your house? (%).
Fig. 4If we divide society into seven social strata, to which class do you belong? (%).
Specifications Table
| Subject | Economics |
| Specific subject area | Economic Development, Public Economics |
| Type of data | Tables |
| How data were acquired | Based on prior research, four observed indicators are derived for each construct (administrative corruption, culture, organizational culture, political instability, institutional weakness, and social class). All variables are reflective except for social class which is formative. Google Forms was used to administer an e-survey to collect information about these indicators. 677 responses were collected that reflect the perspective of the general public in Basra, Iraq. The questionnaire was translated into Arabic since Iraqis are Arabic native speakers and English is not common there. Check the Arabic version in the link: |
| Data format | Raw Excel sheet |
| Parameters for data collection | All items are measured using a seven-point Likert scale and semantic differential scale types. The format of the Likert scale is 1: strongly disagree; 2: disagree; 3: somewhat disagree; 4: neither agree nor disagree; 5: somewhat agree; 6: agree; and 7: strongly agree. The semantic differential scale follows the same pattern. |
| Description of data collection | The measured items under consideration were translated into Arabic and inserted into Google Forms as an e-survey. Students, employees, and academics from the University of Basra, Iraq, were contacted first. Social media was then used to reach members of the public who were well versed in digital communication in Basra, Iraq. I aimed to reach 1,000 people from different social classes; however, I collected responses from only 715 participants. Of these, 38 responses were deleted because the respondents had not taken the survey seriously and the standard deviation (SD) for answering all questions was close to zero. The final sample thus comprised 677 responses. The process of collecting the data took three months, from August to October 2017. |
| Data source location | University of Basrah |
| Data accessibility | Researchers can easily download the full raw dataset of the survey due to the details here. |
| Related research article | S. A. Al-Jundi, A. Shuhaiber, S. S. Al-Emara, The effect of culture and organizational culture on administrative corruption, Int. J. Econ. Bus. Res. 18(4) (2019) 436–451. |
The dataset which shows the attitude of the public is useful to researchers around the world, and specifically in countries experiencing high levels of corruption. Additionally, the data can be used by policy makers in developing countries. The dataset provides novel and rich data on observed indicators of corruption and its main determinants. The data, along with its codes, are ready to be analyzed using a partial least squares/structural equation modeling approach. The dataset can be easily downloaded. Researchers can use the same measurement items to collect data for other countries and compare with the current experience of people in Iraq. |