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Troyanec [42]
3 years ago
12

One of the ways that structural-level perspectives explain the consequences of poverty is by focusing on patterns of basic livin

g standards within populations. By contrast, individual level perspectives tend to examine the symbolic meanings and daily interactions associated with the experience of being poor. These different approaches can paint quite varied pictures of poverty's impact. Which of the following examples represents a consequence of poverty at the broader structural level? Higher rates of infant and childhood mortality in impoverished communities. O The stigma and shame related to being poor in society. O The lack of discipline resulting in familes making unhealthy nutritional choices. Public assistance policies based on the attribution of poverty to individual laziness.
Social Studies
1 answer:
Svet_ta [14]3 years ago
4 0

The correct answer is Higher rates of infant and childhood mortality in impoverished communities

Explanation: Poverty is one of the biggest problems in the world today, which, paradoxically, along with an incessant wave of innovations, forgets the less fortunate and abandoned, postponing them in time. One of the consequences of capitalism that does not forgive those who cannot follow or simply because they did not have conditions and opportunities to adapt.

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write an article for publication in your school magazine giving three reasons why standard of learning is falling in your school
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Thomas malthus had a positive view of inequality. he defended disease, slavery, and child murder. why?
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What is the difference between the two types of experimental research design?​
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Answer: The types of experimental research design are determined by the way the researcher assigns subjects to different conditions and groups. They are of 3 types, namely; pre-experimental, quasi-experimental, and true experimental research.

Pre-experimental Research Design

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Although very practical, experimental research is lacking in several areas of the true-experimental criteria. The pre-experimental research design is further divided into three types

One-shot Case Study Research Design

In this type of experimental study, only one dependent group or variable is considered. The study is carried out after some treatment which was presumed to cause change, making it a posttest study.

One-group Pretest-posttest Research Design:  

This research design combines both posttest and pretest study by carrying out a test on a single group before the treatment is administered and after the treatment is administered. With the former being administered at the beginning of treatment and later at the end.

Static-group Comparison:  

In a static-group comparison study, 2 or more groups are placed under observation, where only one of the groups is subjected to some treatment while the other groups are held static. All the groups are post-tested, and the observed differences between the groups are assumed to be a result of the treatment.

Quasi-experimental Research Design

The word "quasi" means partial, half, or pseudo. Therefore, the quasi-experimental research bearing a resemblance to the true experimental research, but not the same.  In quasi-experiments, the participants are not randomly assigned, and as such, they are used in settings where randomization is difficult or impossible.

This is very common in educational research, where administrators are unwilling to allow the random selection of students for experimental samples.

Some examples of quasi-experimental research design include; the time series, no equivalent control group design, and the counterbalanced design.

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