Awesome Image

Sampling And Validity

Statistics is a lot like science. While doing the research clients need to draw a sample from a large population of clients, stakeholders and target audiences. These sampling frames need to be clearly articulated. There is a direct relation between sampling strategies and validity. Sampling selections introduce several selections into analysis findings that scale back the external validity of samples. . Sampling is studied in the probability section.

AT SPSS tutor, our consultants assist the purchasers to bridge the constraints like budgetary, temporal, legal, sociopolitical, human capital and therefore facilitate in informing the organization’s higher cognitive process. No matter, you are a newbie with just data in hand or one who already has a sample and research design, our statistical consulting team helps you in providing detailed reports on optimal sampling, design, methodology, and recommendations on the following:-

    1. Sampling frame development
    2. Random sampling
    3. Gap analysis
    4. Weighted samples
    5. Nonprobability sampling
    6. Snowball and convenience sampling
    7. Purposive sampling
    8. Sample validity
    9. Sample reliability
    10. Sampling bias
    11. Non-response bias
    12. Statistical power sample testing
    13. Post hoc power analysis
    14. Experimental research design
    15. Quasi-experimental research design
    16. Pre-experimental research design
    17. Non-experimental research design
    18. Internal validity
    19. External validity
    20. Statistical conclusion validity
    21. Theoretical validity
    22. Measurement validity
    23. Measurement reliability
    24. Convergent validity
    25. Divergent validity
    26. Inter-item validity
    27. Inter-coder reliability

Our team has dedicated experts with the correct PhD-level material experience in fields as well as finance, economic science, political economy, psychology, business, education, law, and public policy. Our SPSS help professionals provide the modelling and measurement critiques that replicate both statistical and intuitive strengths and shortfalls. For a robust result, we work with clients closely and finalise the research design and methodology with broad reliability and validity.

Sample size and Selection validity

We have our dedicated team that assists the client with preventive subsample selection as well as post hoc analysis for companies mediating disputes over subsample validity. At times, it's troublesome for the customers to estimate the required sample size, here we tend to assist you to conduct a priori applied mathematics power analysis to work out the minimum sample size, then arbitrarily choose the sample to fulfil these criteria.

We provide you with tailored support for your current sampling and validity needs. Don’t hesitate to contact us through our contact us page.

For Business Enquiry

You can also send us an email   or call us directly on, (+44) 20 3287 0255 and will get in touch with you shortly

Over 10 years of experience will ensure you always get the best guidance.