Research Design and Statistics Concept Worksheet

Research Design and Statistics Concept Worksheet

Name

University of Phoenix

Research Design and Statistics Concepts Worksheet

There are three major criteria for evaluating a measurement tool: validity, reliability, and practicality.

• Validity refers to the extent to which a test measures what we actually wish to measure.

• Reliability has to do with the accuracy and precision of a measurement procedure.

• Practicality is concerned with a wide range of factors of economy, convenience, and interpretability.15

During the executive board meeting, Bea Hansen asked questions regarding the sample size, periods in which the data was collected, how the data was collected. By evaluating the criteria in measuring the data, the statistics can represent the population in general. If sound measurements are not used then the information is useless. Bea Hansen asked the questions to verify the statistical data being provided, because understanding the sources will provide the validity, reliability and practicality of the data. (Cooper & Schindler, 2003, p 231)

Stratified Random Sampling

When a population can be clearly divided into groups based on some characteristic,

then stratified random sampling can be used to guarantee that each group is represented in the sample.

Jim Wilson and his team used focus groups of small business owners to identify an opportunity and a need analysis of small business clients in the use of a credit card with a reward program.. (Lind, Marchal & Wathen, 2004, p 254)

Predictive study

If we can provide a plausible explanation for an event after it has occurred, it is desirable to be able to predict when and in what situations the event will occur. USA World Bank is required to continue researching consumer spending habits in order to introduce new products that will attract clients. Predictive studies require continuous efforts, such as the banking relationship surveys the organization provides to clients. (Cooper & Schindler, 2003, p 12)

Coefficient Of Variation:

Karl Pearson (1857–1936), …, who contributed significantly to the science of

statistics, developed a relative measure called the coefficient of variation (CV). It is a very useful measure when:

1. The data are in different units (such as dollars and days absent).