In The Final Section Of Study Reports, There Is A Section On Implications And Recommendations. Describe The Difference Between These Terms. Provide Examples From One Of The Studies That You Critiqued.

In the final section of study reports, there is a section on implications and recommendations. Describe the difference between these terms. Provide examples from one of the studies that you critiqued.


Quantitative Analysis

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Quantitative Analysis

There is no point in collecting data and leaving it in the form in which it is collected. Data has to be analyzed so that meaning is generated from the data while at the same time a pattern is established with regards to the same. Data interpretation and analysis is a very critical concept in quantitative data as it involves the evaluation of the data that have been collected with the overall goal of ensuring that there has been the establishment of facts as well as figures represented by any given research (Zhang & Sternberg, 2009). An experimental method plan as envisaged by the author basically follows the approach where there is an analysis of the basic facts as well as data that have been presented in a given research context. In analysis of the components of the experimental method plan, the researcher needs to identify the experimental design that they intend to apply. With the pre-experimental designs, the researcher will study a single group and as such provide an intervention in the event that there is need during the experiment (Zhang & Sternberg, 2009). The designs does not in any way have a control group to compare with the group that is being used for the experiment.

Looking at an experimental approach plan, there is need for the researcher to define the participants in their studies. In the event that the researcher has not clearly defined their participants, they will not be in an effective position of providing effective explanation during the interpretation as well as analysis of the data. In analysis of the participants, the researcher should define the scope that they are to use for validation of their research while at the same time provide a framework upon which the facilitation of the research is to take place (Creswell, 2014).

The researcher additionally should evaluate whether they are going to use random sampling or non-random sampling. This is very crucial as there are various mathematical models that are likely to help the researcher in reaching various conclusions based on the variables that they are researching.

Another critical components of an experimental plan is the instruments as well as the materials that the researcher intends to use for facilitation of the researcher. With this the researcher will get to understand the various protocols that they are supposed to use in ensuring that their research is appropriate and gets to meet some of the basic objectives upon which the research has been established.

Variables is another crucial component of an experimental method plan. The researcher should identify the independent variables as well as the dependent ones and thereafter establish the relationship that subsists between these variables. This is likely to help the researcher in the event that he wants to establish the kind of relationship that exists between these two variables. The dependent variables usually provides response to variables that are presumed to be caused or influenced by an independent treatment (Zhang & Sternberg, 2009).

There are various threats to internal validity which shall be identified as follows by the researcher

History refers to the specific events that occur between the first and the second measurement. Another threat to validity is maturation. This is the process within various subjects that act as the function of passage of time. For instance in the event that a project lasts for two years, the participants in the project could improve their performance regardless of their treatment (Creswell, 2014). Testing is another threat to internal validity. This involves the effect of taking tests on the outcomes of taking the second test. Statistical regression is one of the factors that are seen to be affecting the validity. This is the regression to a given mean. This threat is usually caused based on a selection of various subjects based on the extreme scores or given characteristics.

Quite a number of nuances are involved in the interpretation of results from a given empirical study. The last 50% of this century has seen a disintegration in the apparent authenticity of science as a fair-minded methods for discovering truth. Numerous exploration themes are the subject of exceptionally politicized debate; in reality, the objectivity of the whole train of brain science has been raised doubt about. This article analyzes endeavors to utilize science to think about science: particularly, predisposition in the understanding and utilization of observational research discoveries. I look at hypothesis and research on a scope of intellectual and motivational instruments for inclination (Zhang & Sternberg, 2009). Curiously, not all inclinations are normatively banished; one-sided translations are solid under a few conditions, inasmuch as those conditions are made unequivocal. I think about an assortment of possibly restorative instruments, assess prospects for aggregate levelheadedness, and look at inquisitorial and ill-disposed models of science (Sycara-Cyranski, et al., 1990). The very choice to think about specific subjects is adequate to provoke a few spectators to derive that the agent is one-sided. Not rarely, government authorities have criticized or endeavored to boycott whole points of research (Creswell, 2014). An infamous case includes government endeavors to ruin early examinations archiving that some analyzed heavy drinkers can take part in maintained “controlled drinking”— drinking at lessened and less dangerous levels.


The objective of any given research especially one involving instrumentation of data is always to find the truth about something. A researcher should therefore be objective enough to ensure that they can handle objectively any given research topic.


Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, California: SAGE Publications.

Sycara-Cyranski, K., United States., & Workshop on Innovative Approaches to Planning, Scheduling, and Control. (1990). Innovative approaches to planning, scheduling, and control: Proceedings of a workshop held at San Diego, California, November 5-8, 1990. San Mateo, CA: Morgan Kaufmann Publishers.

Zhang, D. L.-F., & Sternberg, D. R. (2009). Perspectives on the Nature of Intellectual Styles. New York: Springer Publishing Company.