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Title. Firstname lastname [email protected] American University School of International Service. Power Point Presentation. Place – the lab Run the PPT rp.ppt file from your website Duration – 4-5 minutes Number of slides – 6 - 10 Slide 1 – Title Slide 2 – Your Research Question

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Presentation Transcript
title

Title

Firstname lastname

[email protected]

American University

School of International Service

power point presentation
Power Point Presentation
  • Place – the lab
  • Run the PPT rp.ppt file from your website
  • Duration – 4-5 minutes
  • Number of slides – 6 - 10

Slide 1 – Title

Slide 2 – Your Research Question

Slide 3 – Background Info\Lit Review

Slide 3 - Data

Slide 4 – Descriptive Statistics or/and Graphics

Slide 5 – Regression Analysis /Contingency Table

Slide 6 – Conclusions/Policy Suggestions

  • Paper Discussion – 1 -2 minutes
research question research hypothesis
Research Question & Research hypothesis
  • Research Question/s
  • Research hypothesis
background info or lit review
Background Info or Lit. Review
  • Theory and Findings form paper #1
    • Theory:
    • Findings :
  • Theory and Findings form paper #1
    • Theory:
    • Findings :
slide5
Data
  • Unit of analysis/study : country or individual
  • Source of the data
  • Reliability of the data
  • Dependent variable/s
    • Y is ….
    • Unit of measurement and LOM of Y variable
  • Independent Variable
    • X1 is … Units and LOM of Y variable
    • X2 is.. Units and LOM of Y variable
    • X3 is.. Units and LOM of Y variable
descriptive statistics table or and graphics
Descriptive Statistics Table or/and Graphics
  • What is the central tendency of your dependent/independent variable/s? Provide meaningful explanation of the mean/median (for I-R LOM dependent variable) or the mode (for Nominal or Ordinal LOM variables)
  • Is the distribution of your dependent variable normal uni-modal or is it bi-modal?
  • How credible is the central tendency?
  • What is range of your dependent variables?
  • Do you have missing data?
bivariate analysis i r lom dependent variable
Bivariate analysis - I-R LOM dependent variable
  • Report Correlation table - for I-R LOM dependent variable.
  • Interpretation of reported statistics in these tables:
    • i)Does the association/correlation exists, i.e. is your measure of association/correlation statistically significant?
    • ii) If the association/correlation exists how strong it is? Check the value of the Pearson’s r, gamma or lambda statistic;
    • iii) What is the direction of the association/correlation? Remember that this is for gamma and Pearson’s r statistic, for I_R and ordinal LOM variables only.
bivariate analysis categorical lom dependent variable
Bivariate analysis - Categorical LOM dependent variable.
  • Report Table with Gama/Lambda/Chi square statistic for association of ordinal/nominal data.
  • Report Table with T test/F test statistic for association of ordinal/nominal dependent variable and I-R variables.
  • Interpretation of reported statistics in these tables:
    • i)Does the association/ exists, i.e. is your measure of association/correlation statistically significant?
    • ii) If the association/correlation exists how strong it is? Check the value of the gamma or lambda statistic;
    • iii) What is the direction of the association? Remember that this is for gamma statistic, for I_R and ordinal LOM variables only.
  • Remember that chi square and lambda/gamma statistics may show ambiguous results, i.e. On of the measures suggest associations and the other suggests no association.
regression analysis contingency table 2 the dependent variable is
Regression Analysis /Contingency Table 2– The Dependent Variable is ….
  • Interpretations:
  • i)Does the association, i.e. is your coefficient statistically significant? Look this value. Is it <.05?
  • ii) If the association/correlation exists (sig <.05), what is the direction of the association/correlation, i.e. . What is the sign of the coefficient?
  • iii) interpret the value of each and every statistically significant coefficient. For example, if the dependent and independent variables are not in log-level, and if b1=0.11, we can interpret this coefficients in the following way “one unit change in the independent variable X1 leads to 0.11 units changes in the dependent variables Y.” You can not interpret values of coefficients that are not significant since they are statistical zeros.
  • iv) Make sure you interpret adj. R square statistics.
findings policy implications of the research
Findings & Policy Implications of the research
  • Findings: Did you accept your research hypothesis?
  • What are the policy implications of your findings?
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