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Quantitative Research Design, Analysis, And Results

697 words - 3 pages

Haan & Duckworth (2012) present a unique way of studying executive-coaching outcomes through the analysis of existing quantitative studies. An investigation of the quantitative research design, analysis, and results will allow one to gain a better understanding of the quantitative research process. The foundation of the entire study starts with the strength and thought placed into how the research is designed.
Quantitative Research
Quantitative research typically involves methods that are expressed in the form of variables with the collection of data that involves numbers, closed-ended questions, graphs, and charts (Research Methodology, 2014). Haas & Duckworth (2012) research design differs from the conventional quantitative research study since it involves the review of numerous quantitative research study articles and provides a detailed overview of their findings. The main thrust of this research design is to draw a comparison from the extremely vast amount of meticulously documented studies of large effective size that psychotherapy is beneficial, thus drawing parallels to executive-coaching’s similar benefits (Hass & Duckworth, 2012). This correlational research design included boundary conditions of approximate proper design with desirable effectiveness ratings, exclusion of influence of the client or coaches, a control group, and an N value large enough to provide statically qualifying data (Hass & Duckworth, 2012). These aspects together allow the collection of data that can then be analyzed.
In their review of quantitative studies Haas & Duckworth (2012) provide detailed assessments of the statistical data that was presented in the studies that met the design criteria they outlined in the research design. In inferential statistics N represents the number of completed data sets that are included in the analysis of the research (Ouyang, 2014). A study with a large N value was used in each topic area by Haas and Duckworth (2012) with several additional studies with much smaller N values that further support the hypothesis. Quantitative research using inferential statistical analysis will commonly test a null hypothesis with a stated probability level that a result will occur by chance under certain conditions (Key, 1997). The probability level used throughout this study has been set at 5% or less, thus ensuring...

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