Editors at PSM Author Services specialize in the application of statistical methods for the advanced analysis of all kinds of data.
Statistical analysis can be a particularly complex, technical, and time-consuming task and demands in-depth knowledge of different software packages.
We provide quite affordable services to authors, including statistical analysis of their results. Get expert help with statistical design and inferences to avoid the common problems that lead to journal rejection.
Statistical Data Analysis
The purpose of statistical analysis is to determine data trends. There are two statistical methods: descriptive and inferential statistics.
Descriptive statistics: A statistic is a number that is obtained from data, for example, an average or a standard deviation. It can be very helpful when examining data to get a suitable group of relevant descriptive statistics. Especially, it can be very interesting to study statistics obtained from different (but related) columns, or between levels of a factor. This gives an idea of the similarities or differences between the data.
Inferential statistics: After data exploration, with the help of visualization and description techniques, one will need to determine what formal statistical analysis technique is required to investigate the data further and to come to general conclusions. A large number of statistical techniques have been developed to deal with many different types of data and create relationships between them.
A subject specialist will ensure a robust study design.
Sample size
Understand the pre-defined method to standardize the research.
Randomization
Ensure a varied sample to arrive at an unbiased conclusion.
Statistical modeling
Use appropriate tools and scientific instruments to accomplish neutral results.
P-value hacking
Identify and establish the problem to be solved.
Interpretations
Determine the starting point of an investigation, a basis for reasoning.
Conclusions
Outline variables that will play a key role in the research.
