Quantitative analysis Research Paper Example | Topics and Well Written Essays - 1000 words

Quantitative analysis - Research Paper ExampleHistory confound defines slips that occur during the data collection put to work to influence the dependent variable without effects from self-sufficing variable. The events whitethorn increase effects of the independent variable or reduce them and therefore compromises validity of data. growth confound however defines transitions in research participants cognitive or visible properties towards different rationale by the same person. A longitudinal study may involve change in age that associates with improved rationale and physical characteristics that may change an individuals perception. Other factors such as education, stress, and physical strain may also influence a persons rationale into different perspectives during a study. Test confound is another challenge to numerical research and defines differences in results because of a research participants previous experience with the test instrument and the experience influences re sults from values that would be observed on first encounter with the same test. Interactive effect is another threat to quantitative research and defines association between two or more confounds in a study. Interaction between treatment and history is an example results in different values from actual effects of a studys independent variables (LoBiondo & Haber, 2013). Challenges of quantitative research are evident and offer a basis for differentiating between quantitative and qualitative research. Their understanding are therefore important, not solitary(prenominal) for development and implementation of qualitative research initiatives, but also for understanding differences between the two research methods in order to ensure development of a suitable research methodology for a study (Allwood, 2012). History confound is a significant threat to quantitative research because of its potential to alter results in a study. History can occur in a studys internal or external environment and this defines the extent to which it may be significant to a study. In a study to investigate effects of lecturers appearance on effectiveness of reading process, an independent forum on learning skills that averts students attention from a lecturers appearance is an external historic factor to the study. A seminar to lecturers on how to improve their lecturers is however, an external historic factor and both offer significant potential to shifting the relationship between lectures appearance and effectiveness of lecturers. The extent of such an equal on results further depends on effectiveness of the history factor. The challenge is based on factors beyond rationale of research participants and therefore defines independence from bias, unless the history event is selective to influence a proportion of research participants and their associated data. In the absence of bias, history has uniform impacts on phenomenon of study and therefore ensures reliability of collected data b ecause of a possible uniform shift in relationships. Consistency in measures will therefore be attained in a historically lost(p) study but validity will be compromised because of lost accuracy on the effects of independent variables on the subject dependent variable. Possible initiation of reliability but not validity in a data