Collecting your own data-Primary research | Data Collection Services — Startwork

Primary Data:

Primary Data Collection Services

Examples of Primary Data Collection:

  1. In many psychological experiments, they often collect primary data through lab experiments, questionnaires, etc, to understand the relationship between the variables under study.

Primary Data Collection Methods:

  1. Questionnaires and Surveys — In this case, the researcher frame a set of questions to be asked to the respondents and collect the data by circulating them. Mostly, a pilot study should be conducted when we make use of this data collection method. These data can be collected either offline mode (direct survey like a census) or on-line mode (google forum, email, etc).
  2. Data collection through observation — This type of data collection is often used in behavioral science. The researcher uses a tool to collect the data.
  3. Data through Experiments — This type of data collection is often carried out in the medical field. Suppose a researcher wants to identify the performance of a new drug and he/she conduct an experiment by taking a sample subject.
Statistical support service Once the collected the data then proceed with the next phase as statistical analysis. The statistical analysis is used to describe the data structure, classify the data, correlate or identify the relationship, validating the data, predicting the future outcomes in the study. Data analysis service offers several tests available in the literature for analyzing primary data. For example, if the sample size is small, then one may use the t-distribution test and if the sample is large enough then one may use a z-test, etc. In addition, there are a few situations that the data may be non-numeric in nature, then one can use the classification and clustering technique for analyzing the primary data (De Vaus, 1986).
Primary Data Collection Methods
The primary data collection method is often accurate and gives real-time conclusions. Primary research can be either qualitative or quantitative or a combination of both types in nature. On the basis of the data type, you can execute either qualitative or quantitative analysis to make conclusions.

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