Statistical Data Analysis Services

Data Analysis should change what you do, not just how you do it. - MatinMovassate If you are to choose the right data analysis plan for your study, it is first pertinent to collect qualitative data.   Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. For conducting Data Analysis for any research, it is also important to have the right methodology. If the data and methods of data analysis plan are right, it will have numerous benefits, including making the right decisions. But before that, there are certain fundamental details to know before choosing the right data analysis plan, which includes: What is qualitative data analysis? QDA is based on interpretative policy to examine the symbolic and meaningful content of data.   In other words, it is interpreting the qualitative data by many processes and procedures to transform them into great insights for taking dynamic decisions. W...

At Statswork, our experts help you to identify right sampling technique for your research work. Sampling: Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete   D ata Collection work. Samples are extracting from the population. Hence, the sample has the features of the population. Samples are reduced based on time and cost. Based on the theorem, it is noted that the ‘Sample mean is an unbiased estimate of the population mean’. Our Statswork experts are well aware of the sampling techniques prevalently used and we suggest you the best sampling method for your study. Several types of sampling techniques are available as follows: Random Sampling: This is the easiest form of probability technique. In this method, each and every respondent will get equal chances. However, if the target population is high then it is very difficult to define the exact sample size (Saunders et al.,...

Quantitative Analysis: Quantitative Data Analysis can be defined as an economic tool for the management and investors to analyze financial events and make investment and business decisions. It uses complex financial and statistical models to quantify objective business data for determining the after-effects of a decision on the business operations.   The worthiness of investments is found using it to identify the correlation between the variables.   Applications of quantitative analysis: ·          Performance evaluation ·          Measurement ·          Evaluating a financial instrument ·          Helps in predicting world events like changes in the price of a share Transform raw data to quantifiable data: Raw information is converted to quantitative data by quantitative analysis. The obtained...

1. Ascertain resources for the project before start. 2. Work on organized data for Clarity. 3. Jot noted continually. 4. Questions and seek answers 5. Begin with available secondary data then work to the rest 6. Refer to relevant literature through analysis 7. Observe patterns and themes during analysis 8. Compare findings of relevant studies to see connections 9. Seek another opinion from a expert Use quality software to get relevant findings from data. Read More: http://statswork.com/blog/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

Characteristics of Qualitative Data Analysis: Rooted in phenomenology, symbolic interaction Field work, ethnography, naturalistic, Open Questions, Small Samples (open Ended and Tess Structured) Tools: Interactive Interviews Flexible and Evolving Emergent Focus Natural Settings Flexible Research design Settings are natural and familiar Subjective in nature Mode: Inductive by researcher Focus is quality (nature, essence) Steps of Qualitative Data Analysis: Prepare and organize data Explore data thru coding Use codes to develop description and themes Represent findings thru narratives and visuals Interpret findings Validate accuracy of findings Read More:   http://statswork.com/blog/what-is-data-analytics/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

End-To-End Dissertation Statistical Services 1. Research Planning & Methodology 2. Transcription 3. Data Collection & Data Mining 4. Meta-Analysis 5. Power Sample Size Calculation 6. Peer Reviewing of Statistical 7. Report Generation Read More: http://statswork.com/blog/approaching-data-analysis-how-to-interpret-data-beginners-guide/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

Characteristics & Steps of Quantitative Data Analysis Select The Research Design Identify the population Select the sample Conduct a Pilot Study Collect The data Organize The Data Analyse the Data Read More:   http://statswork.com/blog/what-is-data-analytics/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

Tips for doing Data Analysis: 1. Form clear, specific and concise hypothesis. 2. Automate repetitive analysis with syntax. 3. Note that there is no such thing as bad results. 4. Select your analysis carefully. 5. Check assumptions before you analyze. 6. Accept that you may not find significance. 7. Base your hypothesis in theory. 8. Never perform analysis on the master copy of your data. 9. Prune Data before #analysis, making is easier to focus on analysis. Read More:  http://statswork.com/blog/simple-data-analysis-techniques-top-5/ United Kingdom: +44-1143520021 India:  + 91 9176966556 Email: info@statswork.com Visit:   http://www.statswork.com/