signifiance

  1. H

    Generalisation of 'overlapping confidence intervals'

    I had a question about a common (possibly incorrect) trend in the medical field to look at whether two 95% confidence intervals overlap as a sign of statistical significance at the 95% level. I'm aware this is overly conservative. I've heard that 83% confidence intervals are 'better' but not...
  2. T

    Interpretation of my results (Significance varies a lot)

    Hi, I have a problem with the interpretation of my results from a multiple linear regression. I want to evaluate the impact of a policy change (X) on an economic indicator (Y) and have included various covariates in the regression (6). The policy change occurred in 2015 and I have data from...
  3. P

    Anova test post-hoc error

    Dear All, Please help me with my statistics... I am using 5 different dimensions to interpret the correlation among them. For instance, Burnout is negatively related to engagement. All dimensions have at least 3 Lickert scale data. Now, I would interpret the analysis among them, trying with...
  4. S

    Which Test of Significane to use when comapring two interfaces using likert statements?

    Hello guys, i googled so much but i can't find an answer to my question. I hope you can help me out. I have the following problem: In a user study the same participants had to use two different user interfaces for entering their preferences. Both interfaces were designed from scratch. There...
  5. T

    Hypotheses testing - Interpreting r=" . "

    Hello, I'm interpreting data at the moment from my Pearson Correlation analysis for different groups of respondents. One of my group only consists out of two respondents. As a result for the one Pearson correlation analysis I get p=-1 and for the other p=1 as well as both times (Sig 2tailed)...
  6. F

    Beta significance level in one model the same as the R-squared-change significance

    I am very new to statistics, so apologies in advance if I have not explained this clearly. I have run two types of linear regression: - The first contains 4 independent variables, all entered at the same time. - The second uses "blocks" to enter 3 of the independent variables in the first...