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validity is whether the results are valid so the data has no mistakes of as such in it whereas reliability is the dependability; when the results you have are accurate and are of enough quality.
No
Data that does not fit with the rest of a data set is known as an outlier. Outliers can skew statistical analyses and distort the interpretation of data. They can be caused by errors in data collection, measurement variability, or may represent true but rare occurrences in the data set. Identifying and handling outliers appropriately is crucial in ensuring the accuracy and reliability of data analysis results.
Advantages to the secondary data collection method are - 1) it saves time that would otherwise be spent collecting data, 2) provides a larger database (usually) than what would be possible to collect on ones own However there are disadvantages to the fact that the researcher cannot personally check the data so it's reliability may be questioned. See: http://en.wikipedia.org/wiki/Secondary_data The link above is primarily on the use of secondary data for purposes of calculating statistics. In this electronic age, secondary data is disseminated very rapidly, such as credit card or employment history. You may want to browse the internet about problems when personal secondary data is widely available.