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For this assignment, you will submit an initial draft of your Methods and Results sections. Now that you have completed your data collection, it is important to revise your methods section so that it accurately reflects the methods that were actually used in your study.
In your Results section, you should first describe how you reduced your data for analysis (e.g., how your questionnaires were summed or averaged to get a composite score to analyze). Your Results section should also include a table of the relevant descriptive statistics. Last, you will need to describe the statistical test that you chose to run and provide the key results for the test as well as a brief explanation of the results. It is essential that you follow APA style when writing this section. Please refer to Chapters 2 and 5 of your APA manual for further instructions on how best to write a Methods and Results section.
attached below are the rubrics scoring guide that needs to be followed in order to create the draft and a summary of the draft that needs to be created
Proficient
Needs Improvement
Not Evident
Value
Methods: Participants
Outlines the participants in the study and how they were recruited
(
10
0%)
Outlines the participants in the study, but does not explain how they were recruited
(70%)
Does not outline the participants in the study
(0%)
1
5
Methods: Materials
Meets “Proficient” criteria and describes materials that are especially well aligned to the research question
(
100%
)
Describes the materials created for the study and how they specifically address the research question and audience
(90%)
Describes the materials created for the study, but does not describe how they specifically address the research question or audience, or description has gaps in accuracy or detail
(70%)
Does not describe the materials created for the study and how they specifically address the research question and audience (0%)
15
Methods: Methodological Procedures
Meets “Proficient” criteria and describes procedures that are especially well aligned to the research question
(100%)
Describes the methodological procedures used to collect data and how the materials were used in collecting
(90%)
Describes the methodological procedures used to collect data, but not how the materials were used in collecting, or description has gaps in accuracy or detail (70%)
Does not describe the methodological procedures used to collect data and how the materials were used in collecting (0%)
15
Results: Raw Data
Meets “Proficient” criteria and is exceptionally clear, contextualized, and aligned to the research question
(100%)
Describes how the raw data was reduced for statistical analysis, clearly detailing each step of the process
(90%)
Describes how the raw data was reduced for statistical analysis, but does not clearly detail each step of the process, or steps are inappropriate
(70%)
Does not describe how the raw data was reduced for statistical analysis
(0%)
10
Results: Descriptive
Creates a table outlining the
Creates a table outlining the
Does not create a table outlining
10
Statistics
descriptive statistics for the key variables
(100%)
descriptive statistics for the key variables, with gaps in accuracy or detail
(70%)
the descriptive statistics for the key variables
(0%)
Results: Statistical Test
Meets “Proficient” criteria and demonstrates a nuanced understanding the alignment between appropriate statistical tests and data
(100%)
Describes the statistical test selected and explains why the test is the most appropriate for analyzing the data
(90%)
Describes the statistical test selected, but does not explain why the test is the most appropriate for analyzing the data, or explanation lacks detail or accuracy
(70%)
Does not describe the statistical test selected
(0%)
15
Results: Manuscript Standards
Meets “Proficient” criteria, and manuscript is of the quality that would be found in an American Psychological Association article (100%)
Manuscript is of professional quality, as outlined by the American Psychological Association’s standards (90%)
Manuscript is aligned with the American Psychological Association’s standards, but not of professional quality
(70%)
Manuscript is not aligned with the American Psychological Association’s standards
(0%)
15
Articulation of Response
Submission is free of errors related to citations, grammar, spelling, syntax, and organization and is presented in a professional and easy-to-read format
(100%)
Submission has no major errors related to citations, grammar, spelling, syntax, or organization (90%)
Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas
(70%)
Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas
(0%)
5
Earned Total
100%
Method
Participants
The participants were 13 graduate students from the Southern New Hampshire University. The students consisted of those enrolled in the Psy-510 and PSY-520 classes of the psychology graduate program. These students participated on a completely volunteer basis during a period of one week. They were recruited by posting a link to the survey on the PSY-510/520 Lounge news feed asking for voluntary participants. The participants were mostly female, with only 2 of the 13 being male. Their ages ranged from 18 to 64 years old with majority ,5/13 or 38%, ranging from 25-34 years old. The mean age of the participants ranging from 25-44. All of the participants were of Caucasian ethnicity. They are from all over the united states, living in rural and suburban areas. Majority of the participants lived in suburban areas. All participants had achieved at least a bachelor’s degree, with one also having completed a master’s degree.
Materials
For this study the materials used were a computer with internet access and the Qualtrics website, in which the survey was created with and also used by the participants to complete the survey. Qualtrics is a company that helps anyone create and conduct research surveys for any topic. The website allows for easy survey making and also makes it easy for the participants to take your survey. These materials are appropriate for this study because it is based on a survey which each participant will take. The website was needed to create the survey as well as for the participants to compete the survey and then for the researcher to collect the data. A computer with internet access is important for this study because without this the participants would not have access to the survey. Also, the SPSS program will also be utilized to analyze all the data retrieved from the surveys.
Procedures
The procedure used to collect the data needed is the survey. The survey consisted of a series of questions that helped determine the personality traits and music preferences of each of the participants. Each participant answered the questions based on their personal beliefs and preferences. The surveys were conducted through the Qualtrics website. This site was also used to collect the data given by the participants. The survey was split into three sections, music preference, personality traits and then demographic questions. The questions on music preference consisted of a question where the participant rated how much they liked a certain type of music using a 1-5 Likert scale with one referring to “like a great deal” and five referring to “dislike a great deal.” The music types were split into these different categories; Country, punk, rock, pop, and oldies. The questions for personality traits were also answered using a Likert scale. This scale was a 1-5 scale where 1 was “describes you extremely well” and 5 was “does not describe you at all.” The personality traits were based off of the big 5 personality traits, openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. These procedures addressed the research study because they got the information I needed from each participant to attempt and prove my hypothesis.
Ethical Considerations
I did not come across any ethical considerations while conducting this research study. No one was physically or emotionally harmed while taking the survey.
Data Analysis Plan
Prepare Raw Data
In order to analyze the data, I took the data collected from the survey and turned it into data that could be used to make an analysis of the results. I utilized SPSS to input all of the data retrieved from the survey completed by the participants. I used multiple variables. There was one variable for each personality trait and also one variable for each type of music. I compared the results of the personality trait questions with those of the music preference questions to see if there were any notable similarities between the participants’ preferences.
Analytic Procedures
After gathering all of the information into SPSS, I calculated the correlation coefficients to see if there were any correlations between the data to prove that music preference is related to personality. This helped to obtain valid and reliable results because it compared the data and calculated the similarities between different factors. I also made use of scatterplots to visually show how the data is correlated. Another procedure I used is the t-test to compare the variables to one another. I wanted to see if any of the test results show a significance.
Descriptive Statistics
Since I was comparing the results of each student, I didn’t use any of the standard descriptive statistics. I was not interested in the mean, median or mode of the results from the questions about music preference and personality. I was interested in the actual results given by each participant and if they were correlated. Descriptive statistics were utilized to find the average age, gender, location and marital status. Majority of the sample (38.5%) were between 35 and 44 years old. Only 2 of the 13 (15.38%) participants were male. The participants were split pretty evenly between being married and single, each with six participants each (46.2%), and there was 1 of the 13 (7.7%) that was divorced. Most of the participants (69.2%) lived in suburban areas, while the rest (30.8%) lived in rural areas.
Gender
Frequency Percent Valid Percent Cumulative Percent
Valid Male 2 15.4 15.4 15.4
Female 11 84.6 84.6 100.0
Total 13 100.0 100.0
Age
Frequency Percent Valid Percent Cumulative Percent
Valid 18-24 2 15.4 15.4 15.4
25-34 4 30.8 30.8 46.2
35-44 5 38.5 38.5 84.6
45-54 1 7.7 7.7 92.3
55-64 1 7.7 7.7 100.0
Total 13 100.0 100.0
Marital Status
Frequency Percent Valid Percent Cumulative Percent
Valid Single, Never Married 6 46.2 46.2 46.2
Married, Domestic Partnership 6 46.2 46.2 92.3
Divorced 1 7.7 7.7 100.0
Total 13 100.0 100.0
Type of area lived in
Frequency Percent Valid Percent Cumulative Percent
Valid Suburban 9 69.2 69.2 69.2
Rural 4 30.8 30.8 100.0
Total 13 100.0 100.0
Principles and Standards
The proposed data analysis methods were ethical, as outlined by the APA. Each participant gave their consent when they volunteered to take part in the research study. No personal information was or will be shared. The data retrieved was only used for informational purposes. Each participant’s personality was evaluated based off of the answers they gave in the survey. Only then was an opinion formed about their personality traits, in order to compare them to their music preference.
Results
This results of this survey did not prove that my hypothesis, that a person’s music preference can describe their personality, is correct. When I conducted correlation tests between the type of music preferred and each of the five personality test I did not find any significance between any of them. For the characteristic extraversion, I found a significance of p = .77. For agreeableness p = .422, for conscientiousness p = .174, for neuroticism p = .647, and for openness p = .75. All of these p values are greater than .05, which means that there was no significance, and therefore there was no correlation between the participants’ music preferences and their personality types.
