Triple I

• Data


  Gathered information about anything (people, things, event, circumstances, place, origin, etc.)
• Data presentation


  Section where your gathered data are arranged accordingly for analysis and interpretation
• 3 classifications of data


  • Textual information
  • Graphical presentation
  • Tabular presentation
• Textual information


  Presented through paragraphs or sentences, involves enumerating important characters, emphasizes significant data
• Graphical presentation


  Data are presented using graphs or charts, the variation of result is observed in diagrammatic form or pictorial form
• Tabular presentation


  Data are arranged in columns and rows to present the relationship of numerical facts of the study
• Data analysis


  Breaking-up the whole study or gathered data, analyzing the data according to the SOP, translating numbers into actionable information
• 2 ways of data analysis


  • Inductive reasoning (specific observation to general conclusions)
  • Deductive reasoning (general observation to specific conclusions)
• Descriptive analysis


  Description of data from particular sample, presented with graphs, gathering information from respondents then using it to describe
• Tools for descriptive analysis


  • Measure of central tendency (getting the middle value)
  • Measure of variability (distribution of data)
• Inferential analysis


  Numerical values that enable the researchers to draw conclusions, conclusions from the sample size will apply to the general population
• Tools for inferential analysis


  • t-test (used to compare data)
  • Analysis of variance "ANOVA" (used when comparing more than 3 groups)
  • Chi-square
• Interpretation of data


  Answer the question "do what" (what now that we have gathered the data?)
• Summary of findings


  Summarizing the findings based on the result and interpretation of data
• Summary


  Brief restatement of the main findings (answers WHAT), states the main point
• Conclusions


  Interpretation based on the general findings (what was found, understood, etc. from the findings), developing conclusion for the facts gathered (answers SO WHAT)
• Recommendations


  Recommendations for further research, discussions of the benefits and what problems should be avoided or corrected
• Reference


  Provide information for others who want to access or cite your paper
• Thesis defense anxiety


  If you're not familiar with public speaking it is easy to develop stage fright
• Thesis


  A larger paper based on a topic relating to your field of study
• Thesis defense


  Usually consists of you and the committee, consisting of 2 or more professors working in your program, main purpose is for the committee to make sure you understand your field and focus area
• Preparing for thesis defense

  • Anticipate questions and prepare for them
  • Dress for success
  • Delegate
  • Have a backup plan
  • Deal with your nerves
• Managing thesis defense anxiety


  • If having trouble with eye contact, look at their forehead
  • Breathe in and out to stabilize your speech
  • Positive mindset and do your best
  • Rehearse thesis defense several times before the actual day
• Data


  Gathered information about anything (people, things, event, circumstances, place, origin, etc.)
• Data presentation


  Section where your gathered data are arranged accordingly for analysis and interpretation
• 3 classification of data


  • Textual information
  • Graphical presentation
  • Tabular presentation
• Textual information


  Presented through paragraphs or sentences, involves enumerating important characters, emphasizes significant data
• Graphical presentation


  Data are presented using graphs or charts, the variation of result is observed in diagrammatic form or pictorial form
• Tabular presentation


  Data are arranged in columns and rows to present the relationship of numerical facts of the study
• Data analysis


  Breaking-up the whole study or gathered data, analyzing the data according to the SOP, translating numbers into actionable information
• 2 ways of data analysis


  • Inductive reasoning (specific observation to general conclusions)
  • Deductive reasoning (general observation to specific conclusions)
• Descriptive analysis


  Description of data from particular sample, presented with graphs, gathering information from respondents then using it to describe
• Tools for descriptive analysis


  • Measure of central tendency (getting the middle value)
  • Measure of variability (distribution of data)
• Inferential analysis


  Numerical values that enable the researchers to draw conclusions, conclusions from the sample size will apply to the general population
• Tools for inferential analysis

  • t-test (used to compare data)
  • Analysis of variance "ANOVA" (used when comparing more than 3 groups)
  • Chi-square
• Interpretation of data


  Answer the question "do what" (what now that we have gathered the data?)
• Summary of findings


  Summarizing the findings based on the result and interpretation of data
• Summary


  Brief restatement of the main findings (answers WHAT), states the main point
• Conclusions


  Interpretation based on the general findings (what was found, understood, etc. from the findings), developing conclusion for the facts gathered (answers SO WHAT)
• Recommendation


  Recommendation for further research, discussions of the benefits and what problems should be avoided or corrected