What is the formula for determining the sample size needed in a quasi-experiment?5 answersThe formula for determining the sample size needed in a quasi-experiment involves considering hierarchical data structures and statistical power requirements. Researchers often face the challenge of estimating the required sample size to ensure adequate statistical power and precision in quasi-experimental studies. By utilizing closed-form formulas derived from previous research, researchers can calculate the sample size needed for testing effects in experimental research with hierarchical data, particularly in multisite-randomized trials (MRTs) and cluster-randomized trials (CRTs). Additionally, the estimation of power in quasi-experiments is crucial for researchers to understand the reliability of their study results. These calculations are essential for ensuring the validity and robustness of findings in quasi-experimental interventions.
What are the key characteristics of quasi-experimental research?4 answersQuasi-experimental research has several key characteristics. It involves the use of designs such as one-group pretest-posttest designs, non-equivalent group designs, regression discontinuity designs, and interrupted time-series designs. These designs are used to estimate the effects of treatment interventions when randomized experiments are not feasible or practical. Quasi-experiments aim to establish reliable data and search for evidence to replace research hypotheses. They are often used in pedagogy to determine the causality of educational phenomena and evaluate research quality. Quasi-experimental studies can provide empirical evidence for the effectiveness of classroom practices and teaching approaches. Ethical considerations, data collection, and statistical analysis are important principles in conducting quasi-experimental research. Quasi-experimental research is particularly suitable for studying problem-solving abilities in mathematics education. It is a popular choice for social researchers due to the challenges and conditions of true experimentation.
What is the effect of size on the electrical conductivity of a material?4 answersThe electrical conductivity of a material is influenced by its size. In general, it has been observed that the conductivity increases with the size of the material at the nanoscale. This size effect has been demonstrated in various materials, including diamond, solid oxide fuel cell electrolytes, and topological insulator films. For example, in the case of Bi2O3-based electrolytes, the conductivity decreases with an increase in the amount of Er2O3 dopant. The size effect on conductivity is attributed to factors such as the spatial distribution of conductance and the random movement of electrons in conductors. The size dependency of electrical conductivity is an important consideration in optimizing the design of nanoscale electrical devices. Understanding the size effect on electrical conductivity can contribute to the development of nanomaterials with enhanced electrical properties.
What is quasi experimental research design?5 answersQuasi-experimental research design refers to a type of research design that is used when randomized experiments are not feasible or ethical. It involves the use of specific designs such as one-group pretest-posttest designs, non-equivalent group designs, regression discontinuity designs, and interrupted time-series designs. These designs aim to estimate the effects of treatment interventions by comparing groups or individuals who have been exposed to different conditions or treatments. Quasi-experimental designs have their own strengths and weaknesses compared to randomized experiments, and researchers need to understand these differences in order to choose the appropriate design for their study.
What is quasi experiment used for?5 answersQuasi-experiments are used to estimate the effects of treatment interventions when randomized experiments are not feasible or ethical. They are particularly useful in educational research, where they can establish reliable data and determine the causality of educational phenomena. Quasi-experiments can also be applied in other fields, such as psychology, to compare outcomes between intervention groups when randomization is not possible. These designs allow researchers to examine the causal relationship between an action and an outcome in the absence of experimental variation. Multivariable regression is often used to analyze the data in quasi-experiments, as it allows for the adjustment of confounding variables and a better understanding of the unique effect of the grouping variable. However, it is important to use quasi-experimental designs sparingly and only when no other options are available to answer important research questions.
What are the experiments have been taken about the size of the okazaki fragment?5 answersExperiments have been conducted to investigate the size of Okazaki fragments. One study used a circular replication substrate with a low priming site frequency to examine the size distribution and formation pattern of Okazaki fragments. Another study utilized machine-learning algorithms to analyze protein-DNA binding microarrays and identify the essential elements on DNA needed for the binding of bacteriophage T7 primase, which is involved in Okazaki fragment synthesis. Rolling circle replication from M13 DNA circles was reconstituted in vitro to analyze the lengths of sequential Okazaki fragments on individual replicating molecules. Additionally, the role of the priming apparatus at the replication fork in determining Okazaki fragment size was investigated using in vitro rolling-circle DNA replication. These experiments provided insights into the size distribution and factors influencing the length of Okazaki fragments.