¶ … scientific studies involve the use of quantitative research designs whose experiments are sometimes described as true science. In this case, the research designs employ the use of conventional mathematical and statistical procedures for measurement of conclusive results. Experimental designs used in quantitative research methods involves examining various aspects that are important in a study including F-ratio, analysis of variance, significant effects, and determining probabilistic equivalence. Generally, experimental designs in quantitative research utilize a standard format in order to generate a hypothesis that can be proved or rejected.
What is an F-ratio?
An F-ratio is a beneficial test statistic that is most commonly associated with ANOVA analysis. In this case, the F-ratio is utilized to test the hypothesis whose effects are regarded as real i.e. they are significantly different from each another. In an ANOVA analysis, the sampling distribution of the F-ratio must be discussed prior to presentation of the details of the hypothesis testing. Generally, F-ratio is used to test hypotheses regarding the impact of an independent variable on a dependent variable ("Variance and the Design of Experiments," 2007). One of the technical terms in an F-ratio is numerator, which refers to the treatment variance. Secondly, denominator is another technical term in F-ratio, which refers to an error variance.
Error Variance and Its Calculation
According to Gabrenya (2003), analysis of variance is a term used to represent what the analysis is about instead of t-test since the focus of the statistical procedure is examining variances. Actually, Analysis of Variance, which is commonly known as ANOVA, is a general-purpose statistical process employed to examine a series of research designs and analyze many complex problems. When conducting variance analysis, a ratio is created between the variances in the mean of the groups and the error variance...
T-tests in Quantitative Doctoral Business Research Quantitative research is one of the methodologies that is commonly used in doctoral business research. The use of this approach is attributable to the availability of more data that requires analysis to help generate competitive advantage in the business field. The use of quantitative research entails conducting statistical analysis, which involves the use of different methods such as t-tests and ANOVA. T-test is used in
grades of students' team taught and student not team taught in the MAE504 course at taking Trident University. In the quantitative research, carrying out a statistical analysis to answer the research question can be challenging for many students. The study discusses different statistical tools that can be used to analyze the data to compare the variable team taught students and variable non-team students. The discussion will assist students in
Additionally, participating teachers will be drawn from public schools in the same state to mitigate the possibility that geographic factors will intervene to too great a degree. That said, consideration will be made to distinguish the specific school districts, socioeconomic conditions and racial factors present in different schools. Without making any preemptive deductions, these preliminary details may be used to help yield evidence of connections which might be used
Unlike primary data that are time-consuming, the secondary data is less time consuming, and a research could collect secondary data to answer the research questions as well as achieving research objectives. Boslaug (2007) argues that the economy is the major advantage of secondary data. Since data have already been collected by another researcher, a researcher does not need to devote his/her resources to collect the data. More importantly, the
Implicit attitude formation though classical conditioning" (Oslon, & Fazio, 2001 p 413). The research purpose is to demons rate that "attitudes can develop through implicit covariation detection in a new classical conditioning paradigm." (Oslon, & Fazio, 2001 p 413). The study uses female undergraduate participants who view hundreds of images and words to investigate their USs (unconditioned stimuli) with novel CSs (conditioned stimuli) for the experiment. Oslon, & Fazio,
ANOVA Test The focus of this proposal is to use the analysis of variance (ANOVA) to test whether the video games influence behavior. There has been a general public concern on the risk factor of video games on the youth's behavior especially children under 18 years of age. Science Daily (2013) shows that video games are the risk factors to aggression and criminal behavior. Despite this assertion, there still a paucity
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now