The data used to analyze the household’s characteristics and perception of corruption are taken from 2015/2016 National Corruption Perception Survey for Anti-corruption commission Namibia. The survey covered both rural and urban populations. The survey collected information relating to households demographic characteristics and households socioeconomic characteristics. A household was defined as a person or a group of people related or unrelated to each other who live together in the same dwelling unit and share a common source of food.
This study analyzed secondary data of 2015/2016 ACC’s National Corruption Perception Survey. According to ACC 2016 full report, the sample of this survey was designed to be a nationally representative sample of 1855 households and 1200 (65%) interviews were successfully completed. The country was divided into 14 strata, representing the 14 regions, and each stratum further divided into Urban and Rural. Then the simple random sample was used to select number of households that were included in the sample. The survey covered both rural and urban populations.
This is a quantitative study, which has adopted the National Corruption Perception Survey 2015/16, research design that was conducted by Anti-Corruption Commission of Namibia. The survey asked the respondents their opinions on a great variety of issues, including, demographic information, and perception on challenges facing Namibia, perception on corruption, experience with corruption, reporting corruption and information on corruption. This study used the mean scores of the perception on corruption as a dependent variable.
This study used quantitative research model to establish the relationship between dependent and independent variables. In this study, we tries to determine if any significant association exists between the household’s characteristics of an individual and his/her perceptions on the corruption in Namibia.
The data adopted from ACC was recoded and edited to avoid some errors in the data collection. A computer software known as Statistical Package for Social Sciences (SPSS) was used for analysis. The new variable (mean score) was created from the ten issues that create or add up to corruption, by taking the mean scores for each individual. Before further analyses were carried out, the general characteristics of data were tested. This was followed by an analysis of the relationship of variables. For the data analysis, quantitative method was used. An apt inferential statistical independent t-test, analysis of variance (one way ANOVA) and Multiple Regression Analysis were used for data analysis.
The assumptions associated with the use of each of the analysis were checked by using the appropriate design procedures. Alpha value 0.05 was used for all significant test carried out in this study. Finally based on the findings, discussions, and conclusions were made and recommendations forwarded