Tools to Expedite your Proposal,
IRB, and Results Chapter
Anxiety is pain in the
future.
Today’s Webinar
•
•
•
•
•
•

Start with the methodology chapter
The Hourglass Metaphor
Methodology Basics
Results Chapter
...
Start with the
Methodology
Chapter
st
1

st
1

Things (even when they’re
named “Chapter 3”)
The Hourglass
Metaphor
Intro/Lit review
Methodology

Results

Discussion
Methodology
Basics
1.
2.
3.
4.
5.
6.

Clear research questions
Participants
Instruments/materials
Procedure
Data analysis ...
Clear Research
Questions
•
•
•
•
•

Statistical language
Differences, influence, or relationships
Know your IV’s and DV’s
...
Participants

Vs.

•
•
•
•

Can you secure them
Can you secure enough of
them
Don’t worry about
representativeness
Incenti...
Instruments/Materials
•
•
•

Use valid and reliable instruments
Don’t make your own survey
Use secondary data if possible
Procedure
• How are you going to administer those
instruments to those participants?
• Paper and pencil, web-based, or int...
Data Analysis Plan
• Selecting the correct analysis
• Level of measurement of scales and
phraseology of research questions...
Sample Size
• The 2 types of sample sizes in the world
• Power analysis
(SS Membership solution)
Results Chapter

•
•
•
•

Descriptive statistics
Statistical analyses
Assumptions of analyses
Write-up results
Descriptive Statistics
• Reliability of scales
• Frequencies and percentages for
nominal and ordinal level variables
• Mea...
Statistical Analyses
Relationship questions
• Correlation
• Chi-square
Prediction questions
• Regression
• Logistic regres...
Assumptions of Analyses
• Correlation—scatterplot
• ANOVA/t-test—
homogeneity of variance and normality
• Regression—outli...
Discussion Chapter
•
•
•
•

Clear support or non-support for hypotheses
Practical and theoretical implications of findings...
The prescription for
anxiety
is

Preparation
Membership Resources
•
•
•
•
•
•

Dissertation Template
Goal Visualization Timeline
Choosing your statistical analyses
Sam...
Dissertation
Template
•
•
•
•
•
•
•

Chapters 1-5 guidelines (what each paragraph contains)
Table of contents with hyperli...
Goal Visualization
Timeline
Choosing Your
Statistical Analysis
Sample Size
Write-up Generator
•
•
•
•
•
•
•
•
•

ANCOVA
ANOVA
Correlation
Canonical analysis
Chi-square
Dependent sample ...
Example of
sample size
write-up
Data Analysis Plan
Templates
• Bivariate (Pearson) Correlation
• Chi-Square Test of Independence
• Dependent (Paired) Samp...
Data Analysis Plan
Template Example
Results Chapter
• Video Tutorials
• SPSS Manual
Statistics Solutions Pro

www.StatisticsSolutionsPro.com
• Easy—no software to learn or nuances of the
analysis assumption...
Feedback and What
You Need
I’d like your feedback on the Webcast

I’d like to know what else you’d like in upcoming webina...
Have the courage to move forward
Believe in yourself
Get the help you need
Thank you!
Join us for our next webinar:

Navigating Graduate School
Thursday, September 19th, 2013
9:00 PM- 10:00 PM ET, ...
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Tools to Expedite Your Proposal, IRB, and Results Chapter

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Dr. Lani shares tools to expedite the proposal, IRB, and results chapter.

SSP is now Intellectus Statistics Software. Intellectus Statistics™ software primarily serves the academic and research communities as a powerful statistical package that can be purchased via four distinct cloud based subscriptions. Learn more here: http://www.statisticssolutions.com/buy-intellectus/

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Tools to Expedite Your Proposal, IRB, and Results Chapter

  1. 1. Tools to Expedite your Proposal, IRB, and Results Chapter
  2. 2. Anxiety is pain in the future.
  3. 3. Today’s Webinar • • • • • • Start with the 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. 4. Start with the Methodology Chapter st 1 st 1 Things (even when they’re named “Chapter 3”)
  5. 5. The Hourglass Metaphor Intro/Lit review Methodology Results Discussion
  6. 6. Methodology Basics 1. 2. 3. 4. 5. 6. Clear research questions Participants Instruments/materials Procedure Data analysis plan Sample size
  7. 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. 8. Participants Vs. • • • • Can you secure them Can you secure enough of them Don’t worry about representativeness Incentivize if necessary
  9. 9. Instruments/Materials • • • Use valid and reliable instruments Don’t make your own survey Use secondary data if possible
  10. 10. Procedure • How are you going to administer those instruments to those participants? • Paper and pencil, web-based, or interview?
  11. 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. 12. Sample Size • The 2 types of sample sizes in the world • Power analysis (SS Membership solution)
  13. 13. Results Chapter • • • • Descriptive statistics Statistical analyses Assumptions of analyses Write-up results
  14. 14. Descriptive Statistics • Reliability of scales • Frequencies and percentages for nominal and ordinal level variables • Means, standard deviations, and range for continuous level variables
  15. 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. 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. 17. Discussion Chapter • • • • Clear support or non-support for hypotheses Practical and theoretical implications of findings Generalizability and limitations Future research
  18. 18. The prescription for anxiety is Preparation
  19. 19. Membership Resources • • • • • • Dissertation Template Goal Visualization 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. 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)
  21. 21. Goal Visualization Timeline
  22. 22. Choosing Your Statistical Analysis
  23. 23. Sample Size Write-up Generator • • • • • • • • • ANCOVA ANOVA Correlation Canonical analysis 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
  24. 24. Example of sample size write-up
  25. 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. 26. Data Analysis Plan Template Example
  27. 27. Results Chapter • Video Tutorials • SPSS Manual
  28. 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. 29. Feedback and What You Need 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. 30. Have the courage to move forward Believe in yourself Get the help you need
  31. 31. Thank you! Join us for our next webinar: Navigating Graduate School Thursday, September 19th, 2013 9:00 PM- 10:00 PM ET, 6:00 PM-7:00PM PT

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