article evaluation

Article Evaluation

16 Feb

Justification for the use of the technique.

In order to measure the perceived changes in family relationships in St. Petersburg during the said period of economic change, data is collected using different statistical techniques. The most recommended technique is the non-probability method. It is used because it believed that the result of calculated data on the specified topic makes it more valuable. This technique provides more precise results as compared to the others. It is justified that the results through this technique is statistically more accurate because we does to door data collection technique is used. But there is one thing that is remarkable. Which is that the bias is a term which may be present in this statistical technique. Because due to door to door collection there are many factors that may be present which cause bias. For the purpose of inferential analysis, linear regression is used to check the relationship between independent and dependent variables.

Evidence of data screening and assumptions tested.

This data is gathered through a questionnaire. The questionnaire asked about for their perceptions of their present and past relationships, and because the results may entail inaccuracies due to reconstructions, bad memory, or nostalgia, there is reason to treat them with cautions.

On the other hand, the commonly held assumption that most human memories are reconstructed rather than recalled may not be entirely accurate.

Quality of the results presentation with complete information needed to evaluate the result.

Since the relationship quality with siblings and parents registered an insignificant difference in means over the four-time periods, no regressions are run on these. Instead, relationship quality with children and the spouse, whose 1983 values correlate at .423 and factor together under one component with a .844 loading, are combined into a composite close family relationship quality index with 1983 as a base. It is clear from the results presented above that individuals interviewed in this study have perceived a decline in the quality of their relationships between 1983 and 1998, with no better than stagnation thereafter. Regarding possible reasons for this deterioration, linear regressions are performed to test the influence of respondents' reported causes of relationship problems on relationship quality. Therefore, three linear regressions have been performed corresponding to the last three time measurements of each of two dependent variables: close family relationship quality and extended family relationship quality. Each dependent variable is predicted based on the previous value of the same variable, the age and sex of the respondent, and the effects of contemporaneous and previous income, family cohesion, and the 13 reported relationship problems.

Discussion of results supported by the information offered

According to the respondents, the results are clearly significant. there was a clear statistically significant deterioration in happiness with relationships, relationship quality with spouses, children, and extended family, and in the frequencies of close families eating together and extended family gatherings when comparing 1983 and 2003. Regarding the specific transition periods, each of the above variables, except the frequency of eating meals together, shows significant decline in the 10 years between 1983 and 1993. Over the last transition period, from 1998 to 2003, none of these relationship or cohesion variables shows significant change. What stands out from this part of the analysis, aside from the notable 1983 to 1998 deterioration, is also that none of these variables ever shows a significant increase. Even after the steep drop in most relationship variables between 1983 and 1998, none of these recovers between 1998 and 2003.

Suggestions for improving the report.

This particular study has attempted to connect perceptions of deteriorating family relationships directly to the period of economic change in St. Petersburg. The intent is not to imply that other cultural factors, such as changing religious and poetical values, evolving gender roles, or shifts in family functions, have had no influence. In addition, similar research conducted with a probability sampling technique may verify and help to generalize this study's results. Furthermore, the use of longitudinal data would be a sure-fire way to measure relationship changes without the doubts often raised with retrospective studies.