The study will aim at understanding how school counselors use various intervention techniques to promote academic achievement, specifically among the ELL students. In order to better evaluate the intervention techniques, the research will employ hypotheses testing, to determine…
The study will employ a cross-sectional study where the data will be collected using a well-structured questionnaire administered randomly to both the participating and non-participating ELL students in a bid to compare the academic achievements among both groups. An in-depth interview will be conducted with the school counsellors in a bid to get a deeper understanding of the various interventions techniques implemented.
According to Clark and Creswell (2010) one cannot analyze their data with statistics unless the data have been recorded in a numeric form. The first step therefore will be to assign scores to the different quantitative responses, followed by data entry done using the relevant statistical software or Excel.
The research will examine both the single item scores and the summed scores (Clark & Creswell, 2010) as part of its detailed analysis to address the research question, the descriptive statistics obtained will be summarized in tables. Various outputs from the statistical analysis tools will be included as part of the findings. As per Clark and Creswell (2010) the models will be accompanied by the ANOVA and T-test tables in order to provide detailed statistics relevant in testing the differences between the observed grouped in regards to the academic performance.
The descriptive statistics will be employed due to their convenience in providing informative comparison using the means of each attribute as indicator, the research findings will either be expressed as a percentage or as a mean. The descriptive table will contain the relevant standard deviation for the purposes of showing the extent of variability (Clark & Creswell, 2010). An example of a descriptive table is as shown in the table below: Where it summarizes the mean academic score of ELL students participating in the Interventions and those that don’t.
ANOVA table is key for ...
Cite this document
(“Descriptive statistics Assignment Example | Topics and Well Written Essays - 750 words”, n.d.)
Retrieved from https://studentshare.net/education/608333-descriptive-statistics
(Descriptive Statistics Assignment Example | Topics and Well Written Essays - 750 Words)
“Descriptive Statistics Assignment Example | Topics and Well Written Essays - 750 Words”, n.d. https://studentshare.net/education/608333-descriptive-statistics.
Statistics is an interesting field of study that refers to the study of collection, organization, analysis, interpretation and presentation of data. There are different fields of statistics and in this essay the researcher presents a deep analysis of how they assist managers in operating their business ventures.
The study chosen was the Williams et. al. (1998) study wherein the researchers attempted to evaluate the extent to which patient literacy was related to their knowledge of asthma and effective use of the
In the line of my job, I make use of several statistical methods in preparation of reports, training and analysis of human resource issues. During my stint as the head of recruitment, I undertook several recruitment drives as well as teaching staff on the prudent means of undertaking their duties
These descriptive statistics help in understanding the most common and the most distinctive traits of the data collected, as well as helping in the use of other statistical techniques that can help in making estimates about the population
In deed, my grasp of the content taught fascinated me.
Overall, the course was very interesting. I found it motivating using the statistics disc to analyze data. My favorites were the MSL assignments, hypothesis testing, descriptive
In the pilot study, the researcher created four subscales in research self-efficacy and monitored their performance under various conditions.
By using Research Publication on the nurses, the researcher resolves whether the experience of education may influence
The mode, for example, is suitable for describing data on a nominal scale while for ordinal data; either the mode or the median should be used. The mean is however more suitable for variables on a ratio or interval scale (Hanna and