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Tools to Expedite Your Proposal, IRB, and Results Chapter
The document outlines a webinar designed to alleviate anxiety associated with proposal, IRB, and results chapters in graduate studies. It emphasizes the importance of a clear methodology, proper tools for data analysis, and offers resources like templates and video tutorials for various statistical analyses. Additionally, it encourages participants to engage and provide feedback for future webinars.
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Tools to Expedite Your Proposal, IRB, and Results Chapter
- 1. Tools to Expediteyour Proposal, IRB, and Results Chapter
- 2. Anxiety is painin the future.
- 3. Today’s Webinar • • • • • • Start withthe methodology chapter The Hourglass Metaphor Methodology Basics Results Chapter Discussion Chapter Graduate Student Toolkit Please feel free to ask questions throughout the webinar in the chat pane to your right
- 4. Start with the Methodology Chapter st 1 st 1 Things(even when they’re named “Chapter 3”)
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- 7. Clear Research Questions • • • • • Statistical language Differences,influence, or relationships Know your IV’s and DV’s Keep your terms consistent Match the number of research questions and hypotheses • Make it understandable to lay readers (or waste a month of your life)
- 8. Participants Vs. • • • • Can you securethem Can you secure enough of them Don’t worry about representativeness Incentivize if necessary
- 9. Instruments/Materials • • • Use valid andreliable instruments Don’t make your own survey Use secondary data if possible
- 10. Procedure • How areyou going to administer those instruments to those participants? • Paper and pencil, web-based, or interview?
- 11. Data Analysis Plan •Selecting the correct analysis • Level of measurement of scales and phraseology of research questions • Assumptions of analyses • Justification of analyses (SS Membership solution)
- 12. Sample Size • The2 types of sample sizes in the world • Power analysis (SS Membership solution)
- 13. Results Chapter • • • • Descriptive statistics Statisticalanalyses Assumptions of analyses Write-up results
- 14. Descriptive Statistics • Reliabilityof scales • Frequencies and percentages for nominal and ordinal level variables • Means, standard deviations, and range for continuous level variables
- 15. Statistical Analyses Relationship questions •Correlation • Chi-square Prediction questions • Regression • Logistic regression Difference questions • ANOVA • ANCOVA • Repeated-measure ANOVA • T-tests • Wilcoxon • Mann-Whitney
- 16. Assumptions of Analyses •Correlation—scatterplot • ANOVA/t-test— homogeneity of variance and normality • Regression—outliers, mulitcollinearity and homoscadacity, homogeneity of regression • AnCova-DV and covariate are related • Chi-square—expected value of 5 within each cell
- 17. Discussion Chapter • • • • Clear supportor non-support for hypotheses Practical and theoretical implications of findings Generalizability and limitations Future research
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- 19. Membership Resources • • • • • • Dissertation Template GoalVisualization Timeline Choosing your statistical analyses Sample size/Power analysis generator Data analysis plan templates Statistical Analysis: A Manual on Dissertation Statistics in SPSS • Video Tutorials
- 20. Dissertation Template • • • • • • • Chapters 1-5 guidelines(what each paragraph contains) Table of contents with hyperlinks to particular chapters Page numbering (including roman numeral front matter) Reference examples Average word count per section APA 6th Edition formatting Automatic Bookmarks (clickable to section)
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- 23. Sample Size Write-up Generator • • • • • • • • • ANCOVA ANOVA Correlation Canonicalanalysis Chi-square Dependent sample t-test Discriminant analysis Independent t-test Linear regression • • • • • • • • Logistic regression MANCOVA Mann-Whitney U MANOVA One sample t-test Multiple regression Test of independence Wilcoxon signed rank
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- 25. Data Analysis Plan Templates •Bivariate (Pearson) Correlation • Chi-Square Test of Independence • Dependent (Paired) Sample t-test • Factorial ANCOVA • Factorial ANOVA • Independent Sample t Test • Linear Regression • Logistic Regression • Mann-Whitney U Test • Mediation • Moderation • Multinominal Logistic Regression • Multiple Linear Regression • • • • • • • • • • • • One Sample t-test One Way ANOVA One Way MANCOVA One Way ANCOVA Ordinal Regression Partial Correlation Point-Biserial Correlation Repeated Measures ANCOVA Repeated Measures ANOVA Spearman Rank Correlation Wilcoxon Signed Rank Test Z Test of Two Proportions
- 26. Data Analysis Plan TemplateExample
- 27. Results Chapter • VideoTutorials • SPSS Manual
- 28. Statistics Solutions Pro www.StatisticsSolutionsPro.com •Easy—no software to learn or nuances of the analysis assumptions to examine • Convenient—no download necessary
- 29. Feedback and What YouNeed I’d like your feedback on the Webcast I’d like to know what else you’d like in upcoming webinars Send comments to: James@StatisticsSolutions.com
- 30. Have the courageto move forward Believe in yourself Get the help you need
- 31. Thank you! Join usfor our next webinar: Navigating Graduate School Thursday, September 19th, 2013 9:00 PM- 10:00 PM ET, 6:00 PM-7:00PM PT
Editor's Notes
- #3 I am after all, a Ph.D. in Clinical Psychology
- #5 Its taking much longer than we expectedTell my story about comps over the summer, internship an additional year, confrontation with department about this business, and the dissertation topic with Bill.
- #6 Finding people that careTalk about Kari letting me dictate my thesis (could not write any more), Bill—just get out of there.
- #7 Identified needs: librarian for lit review, methodologist for methods, statistician for results chapter, Suicide and homicide were in the mix.
- #8 Bill moving the paragraphs back and forth
- #21 The Dissertation Template is a comprehensive, 24-page outline that you can use for your dissertation. Whether your university has a template or you’ve begun the dissertation without one, this guide will be helpful to you as it includes a detailed descriptions of chapters 1-5 and subsections that help you, the doctoral student, flesh-out each chapter. The template is written to comply with most university requirementsThe Dissertation Template includes:Table of contents with hyperlinks to particular chaptersPage numbering (including roman numeral front matter)Reference examplesAverage word count per sectionChapters 1-5 guidelinesAPA 6th Edition formattingAutomatic Bookmarks (clickable to section)
- #24 The Sample Size/Power Analysis Calculator with Write-up is a tool for anyone struggling with power analysis. Simply identify the test to be conducted and the degrees of freedom where applicable (explained in the document), and the sample size/power analysis calculator will calculate your sample size for a power of .80 of an alpha of .05 for small, medium and large effect sizes. The sample size/power analysis calculator then presents the write-up with references which can easily be integrated in your dissertation document.
- #26 Statistics Solutions provides a data analysis plan template based on your selected analysis. You can use this template to develop the data analysis section of your dissertation or research proposal. If you do not know your analysis, you can figure it out using our select statistical analysis tool.The template includes research questions stated in statistical language, analysis justification and assumptions of the analysis. Simply edit the blue text to reflect your research information and you will have the data analysis plan for your dissertation or research proposal. For an example, see the data analysis template for One Way MANCOVA.
- #28 SPSS Video TutorialsIn these exciting SPSS video tutorials, Dr. James Lani and colleagues will provide step-by-step instruction on describing the statistical analyses, how to assess assumptions and how to interpret those analyses. The video is a great opportunity to pause and run your own analyses in tandem with the presenter.Statistical Analysis: A Guide on Dissertation and Thesis Statistics in SPSSDownloadable manual that outlines the most common statistical tests used for dissertation statistics. In the manual, students are given each analyses described using real-world examples and shown how to conduct each analysis in a step-by-step manner. Also includes examples of the test, example data set used in instruction, syntax to assist with conducting the analysis, interpretation and sample write-up of the results