Assignment 2: LASA: Research Proposal Project

Running head: ANNOTATED BIBLIOGRAPHY 1

ANNOTATED BIBLIOGRAPHY 5

Annotated Bibliography

Student’s Name

Course

Date of Submission

Methods Section

The problem being addressed by the research study conducted by Skiba, Simmons, Ritter, Gibb, Rausch, Cuadrado, & Chung, (2008) was the practices and context in the literature about higher education practitioners and researchers since passing the American with disabilities. The students with incapacities who wish to accomplish individual and financial independence ought to have the capacity to get to advanced education and conquer educational boundaries. Proper progress administrations, access to qualified advisors, facilities and pedagogic remediation may have a little effect regardless of whether they achieve advanced education from and the way they get treated affects them. It looks into how students with disabilities are represented in the top four tiers.

The refined question of the paper is in which way has the representation transformed from 1990 to 2014? And what is absent from the conversation in journals about students with disabilities and what is required for them to attain higher education successfully when there are a lot of undefined variables? (Skiba et al., 2008).

A variable is something you're attempting to measure. It will, in general, be basically anything, for instance, objects, proportions of time, feelings, events, or considerations. In this research, there is analyzing of how people feel about different students with disabilities, how the students feel about themselves and conclusions. There is an evaluation of how exceptional sorts of students impact the education sector and how they are affected. Variables can be independent or dependent (Coolican, 2017). The independent variable is the variable whose change isn't affected by some other variables in the examination. Either the researcher needs to change the free factor or it changes separately; nothing else in the investigation impacts or changes it. Two occurrences of typical free factors are age and time. There's nothing you or whatever else can do to quicken or back off time or addition or decrease age. They're self-sufficient of everything else. On the hand, the dependent variable is what is being considered and assessed in the preliminary. It's what changes as a result of the movements to the free factor. An instance of a dependent variable is the methods by which the students with disabilities are prone to be are at different ages. These variables (stature) depend upon the independent variable (age) (Skiba et al., 2008).

Skiba et al., (2008) also included college students with disabilities and teacher educators will in the sample as inclusion characters while the outside education practitioners are exclusion characters. They are the ones responsible for engaging in all program evaluations concerning the students with disabilities. The number of participants in the sample collected is 70 percent of the students with disabilities from two peers reviewed journals i.e The Journal of higher education and The Review of higher education. The recruitment of the sample is done through qualitative and quantitative research after telephone surveys and interviews. Qualitative research targets the characters of the students with disabilities while quantitative look into the number of affected students and the tendency of the impact due to disabilities. All the students interviewed after acceptance for services based on mental or medical health documentation of disability assisted in collecting of the required data and information.

The type of measurement instruments used to collect raw numeric data to be statistically analyzed were interviews that helped source desired data from the target students for research, pathwise observations, and surveys that gave numerous details about decision-making practices among the students with disabilities. Accuracy was assured by use of voice recorders when talking to the interviewees. Moreover, the issues covered on the informed consent are to bring out the real first-hand information about the challenges the disabled students face. The best ways to mitigate these problems and the role to be played by all the concerned practitioners in and out of education are also unleashed in favor of the affected lot. Though informed, some people tend to treat the disabled with ignorance but through this research, the preeminent ways of giving care and concern to such students are evaluated.

There arise potential risks and harm during the research. The safety of all participants is ensured by proving to them that their confidentiality and personal security or stigmas that could have otherwise been availed in questionnaires are keenly observed. Not indicating real names of the participants on written corresponding materials for display and making sure the recorded audios are not in wrong hands is helpful to ensure the safety of whoever takes part in the survey and research. According to Rhodes et al., (2018), the inferential statistical processes are used during the research to make the right predictions and conclusions about the participants. There are two fundamental sorts of inferential measurements, namely; parametric and nonparametric. Parametric insights are scientific methods for theory testing, which accept that the set of scores of the factors being assessed have certain attributes. Mean and the standard deviation is used under parametric statistics to give assumptions about the students. Nonparametric are also used as when making the interviews to sign up and agree to take part in the research. The importance of these statistical tests helps in making generalized sure assumptions during the analysis of data collected.

In computer descriptive statistics the use of mean, mode and median is essential. Furthermore, there is a need to avoid failing to accept the stated null hypothesis in the alpha level also known as the significance level. They are of two types i.e. type I error and type II error. Type I error level signifies support for alternating true null hypothesis while type II error level does not support the true alternating hypothesis apart from the given hypothesis after research has been conducted (Eysenck, 2017). To avoid confusion and making of wrong decisions there is a choice to consider level 0.5 that implies very lower probability of rejecting the null hypothesis.

References

Coolican, H. (2017). Research methods and statistics in psychology. Psychology Press.

Eysenck, H. (2017). The biological basis of personality. Routledge.

Rhodes, S., Cowan, N., Parra, M. A., & Logie, R. H. (2018). Interaction effects on common measures of sensitivity: Choice of measure, type i error, and power. Behavior research methods, 1-19.

Skiba, R. J., Simmons, A. B., Ritter, S., Gibb, A. C., Rausch, M. K., Cuadrado, J., & Chung, C. G. (2008). Achieving equity in special education: History, status, and current challenges. Exceptional Children, 74(3), 264-288.