Data on the Effectiveness of Malaysian Government Assistance Program on Urban B40 Households during COVID-19 Pandemic
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This data article presents the data on the effectiveness of the Malaysian government assistance program on urban B40 households during the COVID-19 pandemic. Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Data were collected based on six regional locations namely northern, central, eastern, and southern parts of Peninsular Malaysia and East Malaysia. The survey was conducted in six Malaysian states selected based on regional location covering the Peninsular and West part of Malaysia viz. Johor, Pahang, Selangor, Pulau Pinang, Sabah and Sarawak. The Department of Statistics Malaysia (DOSM) utilized a simple random sampling method to identify the eligible participants from each state based on the sampling frame identified. Data were collected by a team of enumerators from October 2020 until May 2021. The datasets contain reliable data on the socio-economic profile and government assistance programs during the COVID-19 pandemic on urban B40 households as the data sampling is representative of the population in Malaysia. The data provides important information on the different types of government assistance programs received by the urban B40 Households in Malaysia. The findings could be useful to evaluate the effectiveness of the financial aid received during a crisis.
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Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Stratified random sampling was used to obtain a sample population that best represents the entire population being studied. The B40 households were first identified based on the National Household Sampling Frame (NHSF) list obtained from the Department of Statistics Malaysia (DOSM) based on regional locations. The second stratification was based on the growth center in each region and further stratified into local municipalities based on weighted multistage random sampling. . A semi-structured questionnaire was used to collect primary data. The questionnaire contains three sections. The first section collects demographic information (the coding were showed in Table 14), followed by Section two on socioeconomic factors. Section three covers respondents' perceptions on the adequacy and effectiveness of government assistance programs from the aspects of cost of living, health, Income, social and education. Respondents were asked to rate their degree of agreement with each of these items on a 4-point Likert-type scale such as 1 = strongly disagree, 1 = Strongly agree, 2 = disagree, 3 = agree, and 4 = strongly agree for effectiveness of government assistance program. Nevertheless, to be consistent with the connotation of the cost-of-living aspect which portrays negative consequence to household wellbeing, we converted the 4-point Likert-type scale to be 1 = Strongly agree, 2 = agree, 3 = disagree, and 4 = strongly disagree in the data. The software of IBM Statistical Package for Social Sciences (SPSS) was used to analyze the data. The data collected were screened for missing values and outliers were checked before pursuing the data analysis. Normality tests, descriptive data analysis, reliability, and factor loadings analysis were carried out.