Data collection is the process of gathering and measuring information on variables of interest in an established system, which allows one to answer stated research questions, test hypotheses, and evaluate outcomes. Two main types of data that can be collected are quantitative data and qualitative data. Quantitative data collection methods can include experiments, clinical trials, gathering data in information systems, and surveys with closed-ended questions. Qualitative data collection methods can include interviews, focus groups, and observation.
Additional resources for data collection and management:
Data analysis is "a systematic method for examining data gathered for a research investigation to support interpretations and conclusions about the data and inferences about the population" (Credo Reference). Data analysis is more often associated with quantitative research than qualitative research.
One main statistical method is descriptive statistics, which are analyses that summarize, describe, and allow for the presentation of data in ways that make them easier to understand. Summaries of descriptive statistics typically involve quantitative data and visuals. The most common types of descriptive statistics are the measures of central tendency (mean, median, and mode).
Another primary statistical method is inferential statistics, which applies conclusions to something wider than the observation at hand. Inferential statistics allow an individual to make an inference with some degree of certainty that the inference applies to a wider group.
Additional resources for statistical analysis: