I want raina to complete this assignmentChecklist – Paper IV: Study Two Methods, Results, and...

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I want raina to complete this assignmentChecklist – Paper IV: Study Two Methods, Results, and Discussion Use the check sheet below to make sure your paper is the best it can be! Make sure you answer “Yes” to all questions before submitting your paper or you will lose points! The first few sections duplicate the checklist from Papers I, II, and III, but the rest is unique to Paper IV.  	General Paper Format (This section is identical to the Papers I, II, and III Checklist) 	Yes 	No 	 	 	 	1. Is everything in your paper (including headers, the main body of your study one literature review, and references) in 12 point Times New Roman font? 	 	 	2. Is everything in your paper double spaced, including references (here I mean the spacing above and below each line, not the spaces following a period)? 	 	 	3. Do you have one inch margins on all sides of the paper (one inch from the top of the page, one inch from the bottom, and one inch from each side) 	 	 	4. Are the first lines of all paragraphs indented roughly ½ inch? 	 	 	5. Are your paragraphs aligned left? (That is, text should be flush left, with lines lining up on the left of the page, but text should NOT line up on the right side of the page – it should look ragged) 	 	 	6. Do you need help figuring out how to configure a word document in APA format (inserting headers, page numbers, indents, etc.)? If YES or NO, I recommend watching this video which walks you through setting up an APA formatted paper! https://www.youtube.com/watch?v=Kt4HdjyvZBs  	 	Title page (This section is identical to the Papers I, II, and III Checklist) 	Yes 	No 	Header 	 	 	1. Is your header title in ALL CAPS, and is it a shorter version of your real title? 	 	 	2. Is your Running head in 12 point Times New Roman font? 	 	 	3. Do you have a page number that is flush right (also in 12 point Times New Roman font)? 	 	 	4. Is your header title 50 characters or less (including spaces and punctuation)? 	 	Title / Name / Institution 	 	 	1. Is your title focused and short, avoiding unnecessary words and abbreviations that serve no purpose (as recommended by the APA)? 	 	 	2. Does your title describe your general paper theme (while avoiding something blank like “Paper Four: Methods Results, and Discussion”)? Note that your header and title can differ! 	 	 	3. Do all title words with three letters or more start with a capital letter?   	 	 	4. Is your title in bold? 	 	 	5. If your title is longer than one line, is it double-spaced (like everything else in your paper)? 	 	 	6. Are your name and institution correct?  	 	 	7. Are your title, name, and institution elements centered and in 12 point Times New Roman font? 	 	 	8. Does your title start three or four lines under the margin at the top of the page? 	 	 	1. Are there two spaces between your paper title and your name? 	 	Methods Section  (This is similar to Paper II, but new elements are in bold purple text) 	Yes 	No 	Title for the methods section 	 	 	1. Is the word “Methods” centered and in bold at the top of your methods page? 	Yes 	No 	Participants 	 	 	1. Do you have the word “Participants” flush left and in bold, right below the word “Methods”?  	 	 	2. Did you list out your demographic characteristics, including gender, age, and ethnicity / race? 	 	 	3. Did you provide the descriptive statistics for (means and standard deviations) for age and italicize the letters M and SD? 	 	 	4. Did you provide frequencies for gender and ethnicity/race and italicize the N? 	 	 	5. Did you refer readers to Table 5 for the full listing of demographic info? 	 	 	6. Did you use the brand new participant set from study two and NOT the set from study one? 	 	Materials and Procedure 	 	 	1. Is the phrase “Materials and Procedure” flush left and in bold? 	 	 	2. Did you mention informed consent? (Most likely a brief statement on Qualtrics for study two) 	 	 	3. Did you discuss any instructions the participant may have read? 	 	 	4. Did you thoroughly describe any stimulus material that might have occurred before your actual independent variables (and photos, descriptions, profiles, questions, puzzles, etc.) that are a part of your study? 	 	 	5. Did you thoroughly describe your two independent variable in enough depth and detail that another researcher could duplicate your materials (though you can refer back to study one if the variable is identical)? 	 	 	6. Did you give your IVs names that matches up with the names you refer to in the results section? 	 	 	7. Did you describe all of your most relevant dependent variables, noting the scales you used (e.g. “Yes / No”, “A scale ranging from 1 (not at all likely) to 9 (very likely))” for EACH of your DVs, especially the new ones?    	 	 	8. Did you fully describe what participants went through in the study, noting the order in which they received study materials (e.g. first informed consent, then IVs, DVs, and debriefing)?  	 	 	9. Did you fully describe your attention check (manipulation check) with enough detail that a reader unfamiliar with your study could recreate it, and did you include the scale for that attention check question? 	 	 	10. Did you use the past tense when describing your methods (seeing how you already collected the data, and therefore do not discuss what participants will do)? 	Results Section (This is similar to Paper II, but new elements are in bold purple text) 	Yes 	No 	Results 	 	 	1. Do you have the word “Results” centered and in bold, immediately following the methods section? 	 	 	2. Was the first dependent variable you looked at your manipulation check question, and did you make sure you analyzed the correct DV? 	 	 	3. Did you analyze at least two different dependent variables with Factorial ANOVAs?  a. Note: You won’t use t-Tests for this study, as you have two different IVs.  	 	 	4. Did you mention all of the IVs and the DV by name when talking about your analysis?  	 	 	5. Did you include means and standard deviations within parentheses for each level of your independent variables?  	 	 	6. If your factorial ANOVA was significant, did you include follow up simple effects tests? (That is, do you have seven total F tests)? 	 	 	7. Did you italicize the letters F, t, p, M, SD, and X2 (where appropriate)? 	 	 	8. Did you round ALL numbers to two decimal places (with the exception of the p value, which can go as low as p

Amar Kumar · Accepted Answer

Methods, Results, and Discussion
Participants:
Initially, in this sample, 155 respondents were included. There were few outliers or wrongly coded observations, so I have removed those observations from our sample. Now the total number of observations is 136 in our instance. Now the proposed sample size for this research will be 136. To examine the relationship according to 50 participants for correlation or regression with the increasing number of large numbers of independent variables. For proper analysis of the data collected from the survey process, SPSS, abbreviated for Statistical Package for the Social Sciences, has been introduced. SPSS has been the most widely used statistical software that meets the purpose of statistical analysis in terms of social science and market analysis. The usage of SPSS 20 software has been highly beneficial during the analysis process. This software tool is exceedingly powerful for appropriate manipulation and deciphering data from the survey process. 
In case of missing values, IBM SPSS 22 software has the default feature of listwise deletion. In IBM SPSS, we have two methods of deleting the missing values listwise and pairwise. List-wise deletion is only appropriate in the case when we have lost data distributed. This study was conducted by gathering only primary data through a questionnaire—the questionnaire design was based on the study's objective. There were four parts to our questionnaire: demographics, Fear of missing out (FOMO), and others. There were no missing values in our dataset. We have no missing values in our dataset. As per the available literature, missing values should be less than 5 percent.
Our first task in the quantitative analysis will be descriptive analysis, so we have conducted descriptive analysis on respondents’ demographic information. The quantitative research approach is an appropriate one while examining the relationship or association between variables.
Methods
Validity Analysis
The accuracy with which we assess a concept known as validity. Dillon, Madden, and Firtle (Dillon, Madden, & Firtle, 1994). To examine construct validity in our research, we employed discriminant and convergent validity (Hair, Black, Babin, & Anderson, 2010). Discriminant validity was measured by assessing the degree to which conceptually comparable sub-dimensions are different. It was used to examine the propensity for measurement of a component to be associated. All our structures are one-dimensional. Each build component was pointing in the same direction. The same scale was used to measure all the build pieces. The summated scale of the five sub-dimensions revealed that the five sub-dimensions were connected yet distinct from each other for the second-degree notion (i.e., five sub-dimensions of fear of missing out (FOMO)).
Reliability Analysis:
An important measure is accuracy of a research instrument, also known as reliability. How accurately is measure in regenerated with repetitions in measurement. (Dillon, Madden, & Firtle, 1994). The reliability was measured using Cronbach coefficient alpha. All the construct has reliability greater then traditionally suggested of 0.70 (Nunnally, 1978). Construct fear of missing out (FOMO) has Cronbach alpha value of 0.730.
	Construct
	Number of items
	Cronbach’s Alpha
	Fear of missing out (FOMO)
	5
	0.730
Correlation coefficient
Correlation coefficients are used to assess the strength of a link between two continuous variables. Pearson, Spearman, and Kendall are the three techniques for calculating correlation coefficients. In most cases, Pearson correlation is used in linear regression. The coefficients of correlation range from -1 to 1. A negative correlation coefficient (value between -1 and 0) shows the inverse association between variables. Positive correlation coefficients (coefficient values ranging from 0 to 1) imply a direct association between variables.
Dependent variable:
Independent factors influence the change in the dependent variable. Suppose we look at the age and height of youngsters. The dependent variable will be height, and the independent variable will be age. When we all know, as a youngster gets older, their size tends to rise. The age of a child is independent of all other factors. We used FOMO Combined as our dependent variable in our study.

Checklist – Paper IV: Study Two Methods, Results, and Discussion Use the check sheet below to make sure your paper is the best it can be! Make sure you answer “Yes” to all questions before submitting...

Answer To: Checklist – Paper IV: Study Two Methods, Results, and Discussion Use the check sheet below to make...

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