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DB8008 Capella University Principles of Validity and Reliability Essay

DB8008 Capella University Principles of Validity and Reliability Essay

DB8008 Capella University Principles of Validity and Reliability Essay

Principles of Validity and Reliability in Quantitative Research Design

In your post, address the following:

  • What are the principles of validity and reliability in quantitative research design?
  • Why is validity and reliability important?
  • What are some of the ways a quantitative researcher ensures validity and reliability?

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Response Guidelines

Respond to at least two learners. Your responses should be substantive and do at least one of the following:

  • Ask a probing question.
  • Offer a suggestion.
  • Elaborate on a particular point.
  • Provide an alternative opinion.

In your responses, reference the assigned readings and other theoretical, empirical, or professional literature as needed to support your views and writing.

Review the following:

Use the Internet to read or view the following:

  • Running time: 3:00.

Use the Companion Web site of your Doing Research in a Business World text to view the following:

  • Running time: 00:42.

Use the Capella library to read the following:

Response to Classmate (Starr Craft)

U02d1-Starr Craft Unit 2 Discussion

Principles of Validity and Reliability in Quantitative Research Design

Introduction

The purpose of this discussion is to analyze the principles, importance of validity and reliability in quantitative research. Lastly analysis what Grey (2017) presented how researchers confirms validity and reliability quantitative research. The key elements of this discussion to address principles of validity and reliability in quantitative research design. Also, define the elements of a variable.

Principles of validity and reliability in quantitative research design

According to the article presented by Basu (2019) the elements of a variable is an event, idea, value or object. The two factors of a variable are dependent and independent. Dependent variables can vary by factors, however independent variable is one framework that is dependent variable in another.

The point of view presented by Grey (2017) examined the principles of validity and reliability research. The first principle of validity quantitative research is internal validity. Internal validity is the change of the dependent variable which accredited to independent variable. The second principle is External validity, simplify the quantitative data to a larger population or setting. The third principle Criterion validity, how people have responded to a new measure concept. Last principle Construct validity, measurement of intangible ideas such as traits, ability, anxiety, attitude and knowledge.

The first principle of reliability quantitative research is two distinct instruments. The second reliability principle are two parts of a questionnaire. Third principle states the identical instrument applied on at least two occasions. The last reliability principle, two different individuals conduct the same instrument.

Importance and elements to ensure validity and reliability research

The importance of validity and reliability research is to answer questions. Also, the validity and reliability research can provide quantitative data. The research process involves eight key elements, which are valuable to the process.

In summary, Intangible measurements, control, independent and dependent variables are a few ways quantitative researchers ensure validity and reliability Grey (2017). Research essential need to be reliability which ensures a constant measurement. Validity confirms what the intent of the scope of the measurement. Research in the business world is dependent upon validity and reliability quantitative data research design.

Reference

Basu, C. (n.d.). Examples of independent variables in business. Retrieved from http://smallbusiness.chron.com/examples-independen…

Grey, D. E. (2017). Doing research in the business world. Thousand Oaks, CA: Sage.

Newman, A., Thanacoody, R., & Hui, W. (2011). The impact of employee perceptions of training on organizational commitment and turnover intentions: A study of multinationals in the Chinese service sector. The International Journal of Human Resource Management, 22(8), 1765–1787.

 

Response to Classmate (Jeanine Newcomb)

Introduction

For business researchers, the design of the research instrument is critical to producing results that are determined to be valid and reliable. Validity means that the instrument is measuring what it is intended to measure while reliability means that measurements obtained are consistent (Gray, 2017). This discussion post will go into further detail on validity and reliability and provides a couple of examples from a study conducted by Newman and Hui in 2011. DB8008 Capella University Principles of Validity and Reliability Essay

Quantitative Research: Validity and Reliability

Validity means that the instrument is measuring what it is intended to measure (Gray, 2017). Gray (2017) describes eight types of validity including:

Face: the research instrument appears to measure what it is designed to measure,

Internal: determines correlation and the extent to which causal considerations can be made, in other words do changes in the independent variable cause a change in the dependent variable;

External: determines if generalizations can be made to a larger population;

Criterion: compares answers to new measure to current widely accepted measures;

Construct: determines whether indicators from the measurement of abstract concepts captures the expected relationships between concepts;

Content: determines the validity of the content of the research instrument, test, or experiment;

Predictive: determines how well the results forecast the future; and,

Statistical: determines the appropriateness of the statistical models used.

Reliability means that measurements obtained are consistent (Gray, 2017). Gray (2017) presents five measures of reliability including:

Stability: compares measurements obtained from the same people on same test at administered at different times;

Equivalence: compares measurements obtained from same people on different test;

Internal: determines if all items on a test are measuring the same concept;

Inter-judge: determines consistency of observations between multiple judges; and,

Inter-judge: determines consistency of observations over time.

Newman and Hui (2011) randomly selected full-time employees, working at a managerial or administrative level, from human resource records of several Chinese companies to complete a survey regarding training. The external validity of this study indicates that generalizations from the measurements obtained are limited to similar populations in China (Newman & Hui, 2011). More committed employees are more likely to respond to a self-completion survey regarding training and, thus, the predictive validity test limits the forecasting future results (Newman & Hui, 2011).

Conclusion

In conclusion, the design of the research instrument is essential to gathering quality data from which inferences can be made. The instrument needs to be valid by measuring what it is intended to measure and be reliable and reliable by obtaining consistent results. Several different categories of validity and reliability exist and should be looked at to determine the quality of the research instrument.

References

Gray, D. E. (2017) Doing Research in the Business World. [Capella]. Retrieved from https://capella.vitalsource.com/#/books/9781526408…

Newman, A., Thanacoody, R., & Hui, W. (2011). The impact of employee perceptions of training on organizational commitment and turnover intentions: a study of multinationals in the Chinese service sector. International Journal of Human Resource Management, 22(8), 1765–1787. https://doi-org.library.capella.edu/10.1080/095851…