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Summative assessment

Advantages

The study elucidates how the quantitative research method can be utilised to develop interpersonal skills when undertaking quantitative research. Specifically, the use of socio-demographics in the context of examining the prevalence rate of mental health among Chinese prenatal as well as postpartum women due to the implementation of the two-child policy reveals the advantages of using quantitative research design in this study (Lu et al., 2020).  Note that using socio-demographics assist in data sampling which in turn contribute to effective data analysis. For example, using a sample of 3113 questionnaires enhances accurate analysation of mental health issues affecting both prenatal and postpartum Chinese women (Lu et al., 2020). Essentially, utilising a larger sample size provides greater credibility to the outcome of the study. Furthermore, a larger sample size eliminates errors experienced in the interpretation and presentation of research results. For instance, due to the application of the regression method, while using a larger sample size in the study, there is a minimum error in interpretation and presentation of study results. However, the use larger sample size from the same region in this study affected the accuracy and effectiveness of study results.

Moreover, the use of descriptive statistics facilitates a deep understanding of important variables used in the study. The categorisation of data into specific socio-demographics helps to understand how the implementation of the two-child policy in China affects prenatal and postpartum women. For example, by expressing dependent variable which is pregnancy status, and independent variables which are age, educational level, ethnic group, yearly family income, residence place having the physical disorder, housing status, and whether mother was the only child using mean (M), percentage(%), and standard deviation (SD) help to determine the consequences of having the second birth. However, the use of descriptive statistical analysis in the study fails to establish the relationship between fertility preference and family income (Lu et al., 2020). Therefore, assessing the impact of having a second child and mental health outcomes among the Chinese women using descriptive statistics may fail to give accurate results due to inappropriate data from the respondents.

Again, using survey methods to distribute the questionnaires among the study participants helps to understand the how data collection method was executed. Basically, the use of the survey method allows researchers to have data from several sources. For instance, the study uses data from multiple age groups that respond to various questions in the questionnaire. Consequently, using the survey method in the study help in the generalisation of symptoms that contribute to poor health outcome among pregnant and postpartum women. More importantly, using the survey method helps to assess the impact of the second child policy on Chinese women’s mental health status. However, the use of the survey method to categorise the groups that should fill the questionnaires could have been inaccurate. Mainly there are variations in how individuals understand the questionnaires, therefore using the survey method to categorise participants in the study may have affected the study’s accuracy. Moreover, using the survey method excluded individuals who had the potential of answering the questionnaires more appropriately, thus leading to poor data gathering. For instance, the data sample used in the study was gathered from three local community centers alongside the Town Hospital which caused the data sample to lack broad representation (Lu et al., 2020).

Disadvantages

Due to the use of human participants in this quantitative study, ethics procedures could have been more complicated. Unfortunately, individuals are reluctant to provide researchers with their data personally identifiable data because it can be exposed to the public. However, in this study, the participants had to sign the informed consent in order to avoid the complicating of data and loss of trust from the study participants. More importantly, the individuals who failed to sign the informed consent in regards to sharing their data were excluded from the study. Contrary, to the aim of the study of examining the impact of the two-child policy on the mental health of Chinese women who bears second child, the exclusion of the participants who fail to sign the informed consent could have affected the efficiency and effectiveness of the study (Lu et al., 2020). Besides, the excluded individuals may have had more accurate information with could be significant to the study. Therefore, relying on human participants in the quantitative study hinders the process of obtaining accurate data because of the provision of inappropriate data by participants and limited resources to access some specific participants required in the study.

On the other hand, the use of descriptive statistics in the study means that the study depends mostly on the data analysis rather than the exact phenomenon of the two-child policy that affects women’s mental health. Relying on the descriptive data to conclude about the effect of the two-child policy on the mental health of pregnant and postpartum Chinese women can provide a wrong representation of the exact reality in society. Generally, the analysis of the descriptive data contains errors due to the use of complicated software systems. Therefore, the conclusion made differs from the real phenomenon experienced by the participants of the study. Further, the use of the descriptive method in the study requires individuals who have experience in handling complicated statistics data to analyse the data as well as understand the results. For example, the use of SPSS 20.0 in the study requires that to have a deep understanding of the techniques which are required to handle complicated statistical analysis (Lu et al., 2020).

Consequently, using the survey method to determine the data sample to conduct the questionnaires in the study can create respondent bias. For instance, this study used respondents from one region which represents the likelihood of participants influencing others in how to answer the questionnaires. Furthermore, the use of surveys influences different participants to participate in the study due to the content being asked in the questionnaires. For instance, since the study questionnaires mainly focus on Chinese women’s mental health after the implementation of the two-child policy, the women were willing to participate in the study because the content of the questionnaires was addressing their issues (Lu et al., 2020). However, the disadvantage experienced when using the survey in the study was avoided by the utilisation of direct questions in the questionnaires. Thus, the conclusion made depended on the data collected from the sample survey.

 

 

 

References

Lu, L., Duan, Z., Wang, Y., Wilson, A., Yang, Y., Zhu, L., & Chen, R. (2020). Mental health outcomes among Chinese prenatal and postpartum women after the implementation of the universal two-child policy. Journal of affective disorders, 264, 187-192.

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