Research Methods in Psychology - Data review
The purpose of this assignment is to assess your ability to understand and interpret flaws in design, methodology, results and drawing conclusions from a poorly designed experiment. You are an academic who has read and reviewed and article by Dr Technophobe. In this article you have noted several errors in hypotheses, design, method, analysis and interpretation. You have been provided with the manuscript, the data set and the introduction to your letter to the editor. Using what you’ve learned in this course so far review the article noting and explaining any errors you find and recommending any changes that you can think of. There will be many.
Word Length: 1500 words
Discipline of Psychology, School of Health & Biomedical Sciences Research Methods 2021 – Assessment 3 Aim: The purpose of this assignment is to assess your ability to understand and interpret flaws in design, methodology, results and drawing conclusions from a poorly designed experiment. Instructions: You are an academic who has read and reviewed and article by Dr Techphobe. In this article you have noted several errors in hypotheses, design, method, analysis and interpretation. You have been provided with the manuscript, the data set and the introduction to your letter to the editor. Using what you’ve learned in this course so far review the article noting and explaining any errors you find and recommending any changes that you can think of. There will be many. The following criteria will be used to assess your responses Identification and Explanation of Errors: / 40 Correction of Errors: / 40 Presentation, writing style and expression: /20 Total Mark /100 Word Length: 1500 words Due Date : 11.59pm Sunday 30 May, 2021 Structure: There are several ways to structure this assignment. One is to have a subsection for each of design, methodology, analysis and interpretation. Under each subsection make a statement identifying the error “On page XX line YY the author claims …” explain the error, then make a recommendation or correction “A more appropriate claim/analysis/interpretation would be….”. For any change in analysis include RELEVANT output from SPSS. Tips: • Note that the correction of the errors is worth as much as the identification and explanation of the errors. So be thorough in your corrections. • Don’t bother looking up the references in the manuscript, they are not real. If there are any fallacious claims made by the author that you want to correct, find a peer reviewed source to substantiate your correction and include the reference in APA format. • If you are having trouble with procrastination set a timer for 30mins and see if you can race it. Then give yourself a reward at the end. If you feel like it do it again. Discipline of Psychology, School of Health & Biomedical Sciences Research Methods 2021 – Assessment 3 Marking Rubric CRITERIA NN to PA PA to CR D to HD Finding Error (40%) Identification and Explanation of Errors - Does not identify key errors -Provides little to no explanation of errors - Identifies irrelevant and/or minor errors only - Does not identify all key errors -Provides some explanation of errors, but may be incomplete or incorrect - Identifies irrelevant and/or minor errors where the space could be better directed at explanation of the key errors - Identifies most or all key errors -Provides appropriate explanation of errors - Does not overly devote space to minor errors/issues Correction (40%) Correction of errors - Correction of key errors is absent/brief or incorrect - Correction of errors is only stated and not actually redone and presented in the paper and/or appendix -Redone analyses not included in appendix - Correction of key errors is present but in some instances absent/brief or incorrect - Correction of errors is too brief and not adequately explained and/or presented in the paper and/or appendix. -Redone analyses not always included in appendix -All key errors identified have adequately presented corrections, with appropriate explanations, presented in the paper or appendices. -All analyses redone are included in appendix in full or truncated form with relevant output information included only. Presentation (20%) Presentation, Writing Style and Expression -Inadequate use of formal academic English style or inconsistencies of style - Frequent use of informal English expressions and/or use of subjective and/or personal language inappropriate to academic purpose -Incorrect use of grammar (verb tenses, subject-verb agreement, pronouns etc.) -Vocabulary limited and frequently inappropriate; sentence structure often incorrect/does not convey meaning -Inadequate punctuation and/or spelling -Language fails to communicate meaning -Generally uses formal academic English style (some lapses) -Objective and impersonal language generally appropriate to academic purpose of the task -Generally uses correct grammar (verb tenses, subject-verb agreement, pronouns etc.) -Generally uses appropriate vocabulary and sentence structure; some lapses causing lack of clarity -Generally correct punctuation and spelling; some lapses -Generally communicates clearly; some instances of incorrect use of language -Consistent and sophisticated use of formal academic English style -Appropriate use of objective and impersonal language suitable for academic purpose of the task -Consistently uses correct grammar (verb tenses, subject-verb agreement, pronouns etc.)\n- - Consistent use of appropriate vocabulary and sentence structure enabling unambiguous grasp of the meaning -Correct punctuation and spelling -Communicates meaning through use of clear and unambiguous language The following criteria will be used to assess your responses Total Mark /100 Psychology 1A Discipline of Psychology School of Health & Biomedical Sciences Professor Gates Editor, Journal of Microsoft Silicon Valley San Francisco Bay Northern California USA April 2021 Dear Prof Gates, Thank you for the opportunity to review this manuscript titled The Causal Relationships Between Sex, Tablet Use, Depression and Obesity in Young Adolescents, which was submitted by Dr Techphobe to the Journal of Microsoft. After carefully reviewing the manuscript, I’m afraid I cannot recommend it for publication. Further, given the serious faults inherent in the manuscript I am recommending that the article be rejected outright and that the author not be given the opportunity to re-submit an amended version of the manuscript. To be blunt, this is one of worst papers that I have ever reviewed. The manuscript is riddled with numerous errors in design, method, analysis and interpretation, which I have itemised in the following pages. I can only hope that for the sake of psychological science, this article is not accepted by a journal of lesser standing. Please see attached further documented detail regarding these points. Sincerely, (Insert Your Name) Discipline of Psychology School of Health & Biomedical Sciences RMIT University Microsoft Word - Research Methods 2010 - Mock Research Paper for Lab Report.doc Sex Differences in the Relationship 1 Running head: TABLET USE AND DEPRESSION IN ADOLESCENTS The Causal Relationships Between Sex, Tablet Use, Depression and Obesity in Young Adolescents Dr Techphobe RMIT University Melbourne, Australia Sex Differences in the Relationship 2 The issue of adolescent obesity has been identified as one of the most important public health issues facing Western societies. The most reliable survey data provides convincing evidence that the proportion of adolescents who can be classified as obese (i.e., exhibiting a body mass index [BMI] > 30) has increased significantly over the last three decades. In 1980, Pitt and Jolie found that only 6% of young American adolescents in the 12 – 14 age range met the criteria for being obese. By contrast, Schwarzenegger (2010) reported that 15% of his sample of 1,500 young American adolescents exhibited a BMI > 30. Similar trends have been reported in Australia (Gibson & Jackman, 2009) and the UK (Winslet & Grant, 2011). A range of causal agents have been proposed in an attempt to explain this trend, including: the increased availability and affordability of energy-rich foods (McDonald, 2008), the reduced presence of physical education in the primary and secondary school curricula (Sanders, 2014), and the increase in passive forms of entertainment, such as gaming and virtual reality (Luckey, 2017). Tablet usage, which is a popular form of entertainment for young adolescents, for both tablet and social media use, has also been targeted as a causal agent in adolescent obesity for a number of reasons. First, it is passive, gamers engage in perceptions of activity in their gameplay, although they remain seated (Bestimit, 2018). Also, there is evidence that the amount of time that adolescents spend on social media has doubled over the last 10 years (Zuckerberg, 2017). Somewhat surprisingly, the relationship between tablet use and obesity in young adolescents has not been the subject of large-scale empirical investigations. There is limited anecdotal evidence and considerable comment in the popular media regarding the relationship between tablet use hours and obesity (see, for example, Jobs, 2012), but very little reliable quantitative data exploring the association between these variables. Certainly, there is no data exploring these relationships in Australian adolescents, and given Sex Differences in the Relationship 3 that there is cross-cultural evidence demonstrating notable differences in obesity levels and other activities between Australian and American adolescents (Crowe, 2016), such an investigation seems warranted. Further, there is some evidence for sex differences in both obesity levels (Gaga, 2008) and tablet use (Cruise, 2012); hence, a valid secondary question concerns whether sex moderates the relationship between obesity and the amount of time using tablet devices. Therefore, the aim of the present study was to explore the causal relationship between tablet use and overweight in a sample of young Australian adolescents. Based on previous related research, the following hypothesis was tested: Will high levels of tablet use directly cause an increase in weight? Further, based on the consistent findings of the research reviewed above, a secondary hypothesis was tested: Will there be a causal relationship between sex and the relationship between tablet use and overweight? Will a stronger relationship be evident for girls over boys? Method Participants A total