Benefit from professional statistical analysis with SPSS and other programs for your project. Our expert team of over 80 statisticians is well versed in the use of data analysis methods of all kinds and can provide you with competent help in evaluating your statistics.
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for your statistical analysis.
Analyzing statistics is wonderfully versatile. It can make production more efficient, yield scientific insights, or even help us better understand a group of people. For this to succeed, a research question must be examined using the right methods. However, data analysis isn’t quite that simple. That’s because the range of available methods is vast—and each one can yield completely different results.
We are happy to support you in all common variants of statistical analysis. We use state-of-the-art procedures and methods for every analysis.
Descriptive statistics describe the data from your questionnaire, for example, through means, percentages, measures of distribution, or graphical representations of distributions. Through tables showing means, categorizations, and visualizations, meaningful insights can still be derived from an unstructured dataset.
Exploratory analyses search for patterns and anomalies in data without underlying assumptions and with an open-ended approach, often with the goal of developing hypotheses. Such research is intended to fill gaps in theory or address shortcomings in previously formulated hypotheses.
Inferential statistics test hypotheses using specific tests, measure relationships (correlations), and compare groups with one another. In this way, assumptions about relationships in the data are verified through a transparent test and evaluated for statistical significance. In addition, graphs depicting standard deviations and variances are generated, along with tables summarizing these inferential statistical values.
Forecasts use data analysis to make predictions about the future, draw analogies for similar cases, or generalize from a sample of data to the population. This is, for example, an essential requirement for students writing their bachelor’s or master’s theses.
Statistical analysis at a glance
Statistical analysis is divided into descriptive methods and methods for testing further assumptions.
Descriptive Methods
Inferential Methods
Testimonials and case studies show how customers experience NOVUSTAT’s statistical analyses. For more than ten years, our services have been backed by expert knowledge and proven in practice.
Senior statistician
A statistical study or analysis typically combines several of these evaluation methods and tests. In other words, every survey analysis includes a descriptive component designed to characterize the data within the sample using statistics such as the mean.
Please feel free to reach out to us for support, whether you need help with the entire analysis of your survey data or just part of the data analysis (such as interpreting the results). If you need help with statistical analysis or would like your interpretation of the results reviewed, our statisticians will be happy to assist you.
NOVUSTAT guides you from your initial inquiry through to the start of the project with clear and transparent processes. After reviewing your inquiry and the available data, you will receive a no-obligation quote and be matched with the right statistics expert for your statistical analysis.
Please briefly describe your project, your research question, and the type of support you are seeking. You are welcome to include a sample of your data or initial documents.
We will then provide you with a transparent, no-obligation quote for the statistical analysis you desire and the scope of services required.
Once you accept the proposal, you will receive the invoice. At the same time, we will assign you the right statistics expert for your specific question and data set.
After a brief orientation, the statistician will schedule an initial consultation with you. The professional analysis of your data will then begin.
NOVUSTAT provides you with personalized and professional support for your statistical analysis—from defining the research question to providing a clear interpretation of the results.
Novustat is happy to help you refine your research question and analyze the data from your questionnaire using the appropriate statistical methods. You can choose to use our statistical consulting services to conduct your own analysis or leave the entire analysis to us.
Whether it’s a research project at your company or an academic endeavor—such as a bachelor’s or master’s thesis —we focus on the details. We don’t stop at descriptive aspects like the mean; instead, we delve deeply into your analysis to identify interesting metrics such as correlations and influencing factors.
Incorrectly analyzed data can in no way cause more harm than good. Everyone should be aware of this. For example, NOVUSTAT's processing offers the following advantages:
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NOVUSTAT GmbH
Specialized tools support the diverse and sometimes complex analyses. The selection of the appropriate statistical tool depends on the method to be used and the amount of data, since not every tool supports every statistical method or data volume. For example, we are proficient in the following analyses:
For projects focused on R, Novustat can also handle the entire R analysis, including data preparation, modeling, and interpretation.
Data analysis is carried out in several steps. Each step requires its own statistical methods.
It must be determined, for example, how completely a questionnaire must be filled out in order to contain sufficient information for a subsequent analysis that is intended to have a certain degree of validity. Incomplete data records are removed first. A plausibility check must also be performed to identify joke responses or inconsistent data records. Data cleaning ensures the efficiency of the experiment and the quality of the data collected.
Descriptive statistics provide an initial overview of the data, such as the mean, standard deviation, and smoothed curves. Even if the core of your work involves more sophisticated analyses, descriptive statistics are a must.
Very few studies are content with a purely descriptive analysis. Depending on the research question (and the type of data), the statistician then selects the appropriate statistical method: For example, should two samples be compared? Is it hypothesized that one variable correlates with another? Is the trend in a data series being determined?
Most statistical analysis methods assume certain properties of the data, such as data type, a Gaussian distribution (normal distribution), or that two samples have the same variance. Statisticians first check these assumptions, which in turn requires specific statistical methods and procedures. If this assumption check is neglected, the statistical analysis will yield invalid results, the invalidity of which may not necessarily be detected even by a significance test.
Only after the prerequisites have been checked should further analyses be conducted. The primary goal of statistical analysis is to answer the research questions. This involves identifying similarities and differences between various samples, as well as correlations between variables or trends in data series.
However, the statistical analysis of the data is not yet complete. The differences, correlations, and trends identified may be more or less significant. In the worst case, they may have arisen purely by chance—for example, because the values are widely scattered to begin with. The actual reliability of a statistical conclusion can also be determined statistically. There are specific methods for this that measure the percentage of certainty with which a conclusion can be considered reliable. Especially in scientific work, specifying statistical significance is an absolute must.
To ensure you can reliably analyze your data, we’ll develop a comprehensive analysis plan you can count on. For each dataset and research question, we’ll select the optimal statistical method and the appropriate tool, verify the method’s prerequisites, and assess the significance of the results. You can count on us.
If you need assistance with various statistical methods, our statisticians will be happy to help you.
