Describe the result along with the relevant statistics

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Reference no: EM131283303

Please write a 8 page lab report follow the instructions in the attactment.

Please use at least three sources in the report.

In APA format.

Research Question: Does mood and sleeping quality has an impact on academic performance

Hypothesis: mood has a positive correlation with academic performance.

sleeping quality has an impact on academic performance.

Method: students participated in self-report survey, one is PANAS positive/negative survey, the other is sleeping quality survey.

Results:

MOOD:
self-report survey, 114 students participated in the PANAS positive/negative survey
PANAS POSITIVE: r=.013 p=.888
PANAS NEGATIVE: r=-.062 p=.513

SLEEP QUALITY
self-report survey, 113 students participated in the survey
r=-.082 p= .390

Instructions:

Introduction
• Overview of Issue

Place the study in the broad context of psychology. Where does it fit in? Why is the topic an important one? Why should we care?

• Theoretical Overview

Is there a single unifying theory that might explain why your constructs will be related? If so, describe it. If not, describe your constructs and any relevant theories separately. Then, based on your discussion, make a reasonable argument about how you think these constructs might be related.

• Empirical Overview

Describe background information and empirical article(s) making it clear how the relevant constructs relate to the topic and each other. Either way, be sure that you appropriately describe your constructs in the context of other studies in order to draw connections between them (e.g., describe the methods, results, and interpretation of each study in the context of what it tells you about the relationship between your constructs).

• Motivation/Statement of Research Questions

What are your specific research questions? Why are they important in the context of the literature you've outlined? How does it relate to previous work? What is your prediction? What is the basis for this prediction?

• Overview of Study

Briefly explain how the study that we'll run will answer your research questions. This will require a very brief overview of what we'll do (but remember that you'll outline most of the details in the Method).

Method

• Participants?
Who participated / will participate in the study? Projected age, gender, number, general background? What was their motivation for participating?

• Materials

What materials / surveys did we use? Briefly describe each survey including what it is measuring and what it's been used for in the past. You should include representative items from each survey. You need only go into detail about the studies that will address your constructs, but you should mention the other surveys presented and that they were given as a large questionnaire.

• Design

What were your variables of interest? How were they measured? What analysis will you use them for? ?• Procedure?What did participants do? Was there a special set-up or location where they participated? What instructions were they given? Describe the experience a participant would have by undertaking your study moving from item to item and survey to survey. It's fine if you repeat some information from previous sections here. How long did it take to complete the entire survey?
Results

• Scoring

How did we take the raw responses to your tasks or surveys of interest and distill them down to analyzable scores? You don't have to be as detailed as the original scoring guide, but you should give an overview of how this was done (i.e., how did we go from individual responses by participants to a single average and how was that used across participants?)

• Analyses

1. State the research questions and relevant predictions to remind your reader what you hypothesized now that you're about to run the statistics.

2. Describe the analysis in terms of relevant variables. What test did we run? Example:"...a Pearson correlation was used to examine the relation between SES and Academic Performance. Results show..."

3. Describe the result along with the relevant statistics (r values and p values). Briefly state the result in words, then back it up with your stats. Say what the effect was. Example (repeat as necessary for ALL relevant analyses): "When we considered SES, the Pearson correlation showed a positive relationship between SES and Academic Performance (r = x, p = y). This suggests..."

4. Tie results back to research question/hypothesis (i.e., did the results support the theory?)

5. Include (and refer to) figs or tables showing the relationship between your variables of interest. You MUST include a figure for each correlation. Fig/table titles, headings, axis labels, etc. must be formatted correctly. Tables can also be helpful but are not necessary. Use them as appropriate, but if you do include a table, be sure to reference it in the text.

Discussion

• Overview of Results and RQ

In words, briefly reiterate your findings. Do NOT use statistics in this section. Instead, you should talk about the general patterns in the data that are supported by the statistical tests that you've just presented. Based on those patterns, were your initial research questions supported or not? If not, in what way were they different?

• Relate to Past Empirical Work

How do these findings relate to the past work you've found on your variables? Do the results support past findings or do they contradict them. If the former, what has this study added to those past findings. If the latter, why might that be? Compare / contrast the findings and methodologies to build a case for what's happening.

• Relate to the Theory

What do your findings say more broadly about the relationship between these constructs (e.g., the relationship between SES and interpersonal interaction)? Start with the assumption that your results are real, and then take a step back and consider their theoretical importance. How might it shift the way we think about the relationship between said constructs? Would this require a revision of previous theory?

• Limitations / Future Questions

Especially if you failed to find the result you originally predicted, why might this be? Was there some aspect of the experiment that you can point to as potentially masking your effect? If so, what would happen if you fixed it or did it again (i.e., don't just give a laundry list; play it out). If you did find the result you originally predicted, it's fine to talk about limitations in the sense of what your study is not able to address (i.e., generalizability issues), but don't throw your results under the bus by assuming that they're not real. Were there any obvious next-step questions that were raised by this work? Entertain the idea of what a follow-up study might look like and test.

• Big Picture

Finally, what are the broader, real-world implications of this work? Why should someone who is not a psychologist care about everything you've just written? What does it tell you about human behavior and mental processes?

Reference no: EM131283303

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