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I need this in 24 hours. Minimum of 6 pages excluding title and reference pa  Assignment Instructions Examine the literature in your topic area and identify five articles published within the past five years that investigate mediating, moderating, or independent variables in an attempt to contribute to theory in the topic area. Write a paper in which for each article, you: 1. Describes the theory the researchers explore. What are the key constructs in the theory? How are they related? Identify which ones are cause, effect, mediating, or moderating constructs. How are the constructs operationalized? 2. Briefly describe the study, including the number of participants and research methods. 3. Briefly describe the statistical analyses used 4. Briefly described the findings and how the researchers interpreted them and their contribution to theory. Using some or all of the five articles, argue for a gap in the knowledge in the topic area and briefly describe a study involving mediator and or moderator variables that can contribute to theory.  Support your paper with a minimum of 5 resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included. Length: 5-7 pages not including title and reference pages References: Minimum of 5 scholarly resources. Your paper should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your paper should reflect scholarly writing and current APA standards. Review APA Form and Style. Course Learning Outcomes associated with this assignment: 9.0. Investigate how exploring mediator, moderator, and independent variables can contribute to theory. Homework Help Websites

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As you know from reading the PhD Dissertation Handbook Research Methods, dissertation research must contribute to theory in a topic area:  A dissertation research problem is a GAP in recent research (usually in the past five years) in a topic area that can be addressed by a study that will contribute to knowledge and theory in the area.   The ways that quantitative research can make a theory contribution are limited only by imagination and knowledge of design, statistics, and literature in a topic area. One very effective strategy for contributing to theory in a quantitative study is to identify variables that the literature on a topic suggests may cause an outcome or mediate or moderate a known relationship between a cause and an effect. A research problem for a quantitative study will usually be a statement describing something we do not know about the relationships among constructs in a topic area.

Here is a fictitious example:  Say your review of the literature shows that we know that smiling causes happiness. It also shows that there is disagreement among researchers and theorists in these areas: a. on how smiling causes happiness; b. under what conditions and for what type of people smiling causes happiness; and, c. what else causes happiness Your research can contribute to theory on the relationship between smiling and happiness by addressing a) or b). Addressing c) is a completely different matter. c) involves identifying constructs that also cause happiness. You would be unlikely to choose this option, because it is not directly related to the smiling/happiness relationship. It involves you in the huge project of developing a general theory of happiness, which is too ambitious for a dissertation study. If, however, your literature review uncovers a theory of happiness that predicts that smiling causes happiness but no one has done a controlled study to see if it in fact does, then you could conduct a study to see if smiling causes happiness that would contribute to theory. It is important to understand that a study that looks to see if one variable causes an effect on another does not necessarily contribute to theory. For example, simply looking to see if a treatment works (causes an effect, an improvement, is more effective than a placebo) does not contribute to theory, unless you are specifically testing an untested cause and effect relationship claim made in a theory, as in the happiness theory example. For example, if a theory claims that based on what is known about how Y develops in childhood, treatment or intervention X should produce more Y, you are testing a theory and so contributing to it by providing empirical evidence for or against a theory claim. Without the context of a theory that gives a reason why X causes Y, you are conducting an applied study.  Back to studying the smiling/happiness relationship. Here is how your study could add to our understanding of the relationship.

Your study could:

1. Address phenomena that mediate the smiling/happiness relationship. Our knowledge of human biology tells us smiling cannot directly cause happiness. Smiling must be the beginning of a causal chain of events ending with happiness. Your literature review would identify plausible links, and your study would examine if they are in fact present when people smile and report feeling happy. Your study would contribute to theory on how smiling causes happiness.

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2. Address constructs that moderate the smiling/happiness relationship. Your literature review would show you that smiling only leads to happiness under certain conditions (e.g., when people are in a calm mood and not severely depressed). Your review of the literature would suggest plausible candidates for the conditions under which the relationship holds. Your study would contribute to theory on how smiling causes happiness by telling us something about the conditions under which the smiling/happiness relationship holds.

As you may gather from the readings for this activity, scientists view the world as a vast interconnected network of mediated and moderated cause and effect relationships. These relationships can be extremely complex. A only mediates X and Y under condition P. Under condition Q, B mediates X and Y. B is a moderator in some contexts, a mediator in others. Etc. No one ever said life was simple!

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