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Inclusion of Students with Disabilities within the Learning Environment Using Positive Behavior Interventions and Support

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Inclusion of Students with Disabilities within the Learning Environment Using Positive Behavior Interventions and Support

Section 1

Definition of Terms

Target Population. The entire group of items or people that a researcher intends to study or make conclusions about (Willie, 2024).

Source Population. A larger group from which the target population is drawn (Willie, 2022).

Study Population. A subset of the target population that is included in the research (Willie, 2024).

Sampling Frame. A database or list that includes all elements of the target population from which a sample can be drawn (Hanif et al., 2017).

Inclusion/exclusion Criteria. The inclusion criterion is the specific characteristics that research participants must have to be eligible for inclusion in a study (Patino & Ferreira, 2018). The exclusion criterion is the characteristics that disqualify potential participants from being part of the study (Opuda, 2022).

Representative Sampling. A sampling method that ensures the sample accurately reflects the attributes of the target population.

Sampling Method/Technique. The process used to select people from a sampling frame to create a study sample (Hanif et al., 2017).

Random and Non-probability Sampling. Three types of probability sampling include simple, stratified, and cluster sampling, and three types of non-probability sampling include purposive, convenience, and quota sampling.

Section 2

Target, Source, and Study Populations

The target population is educators with experience applying positive behavior interventions and support (PBIS) to improve the behavior of students with disabilities. The source population includes educators in learning institutions within the United States. The study population is 20 educators who are currently applying or have applied PBIS in the past to shape the behavior of students with disabilities.

The Sampling Frame and Inclusion/Exclusion Criteria

This research on the inclusion of students with disabilities within the learning environment using positive behavior interventions and support will use the mixed method research approach, which includes qualitative and quantitative approaches. The sampling frame in the quantitative approach will include schools implementing PBIS and all educators teaching students with disabilities enrolled in the schools. The descriptive research design will be used to systematically acquire information to describe the study phenomenon. The inclusion criteria will be educators teaching students with disabilities and educators implementing PBIS. Conversely, the exclusion criteria will be educators teaching in schools that do not implement PBIS. The sampling frame for the qualitative approach will be a smaller, more targeted group of participants from different schools who can provide detailed insights into their experiences with PBIS. The inclusion criteria will be educators who have implemented PBIS and are willing to share personal experiences. On the other hand, the exclusion criteria will be participants unwilling to engage in discussions about their experiences.

Sampling Method/Techniques for Quantitative and Qualitative Designs

Regarding the quantitative study on the inclusion of students with disabilities within the learning environment using positive behavior interventions and support, the appropriate sampling technique is stratified random sampling, which is a probability sampling method. On the other hand, the appropriate sampling method for the qualitative study on the inclusion of students with disabilities within the learning environment using positive behavior interventions and support is purposive sampling, a non-probability sampling method.

Section 3

Impact of Population and Sampling Choices on the Study’s Feasibility

Decisions about the study population and sampling in both quantitative and qualitative studies are crucial since they affect the feasibility of the research. In the quantitative study concerning the use of PBIS for students with disabilities, stratified random sampling will be used to ensure that a representative sample yields generalizable results. However, this approach requires access to an extensive sampling frame, which may be difficult to compile due to privacy. If the population becomes too narrow or hard to reach, it may affect subject recruitment and impact the overall timeline for the study. The qualitative study will use purposive sampling to gather insights from participants with relevant experiences, thus creating a possibility of narrowing the collected perspectives, which will affect the wealth of data and results.

How the Sample Size May Affect Feasibility

Quantitative studies usually require larger samples so that statistical significance can be valid and yield reliable results. On the other hand, recruiting a large number of participants can be extremely resource and time-consuming. While small sample sizes are acceptable in qualitative studies, few participants result in inadequate data since the focus is on depth rather than breadth. The balance between achieving a sufficient sample size and maintaining feasibility is critical in both types of studies.

The Design, Study Population, and Sampling Choices and Their Effect on the Study’s Feasibility

Each research design has a direct impact on the feasibility of the study through its relation to the population under study and the choice of sampling. The quantitative design relies on statistical analysis. Therefore, there should be a well-defined population with a robust sampling frame to generalize findings across similar contexts. Biased results can fail to represent the actual effectiveness of PBIS interventions if the sampling method does not capture the diversity within the target population. On the contrary, a qualitative design emphasizes individual experiences, and thus, great caution should be taken when selecting participants to ensure diversity in viewpoints. However, if purposive sampling does not capture the wide variation in experiences, the applicability of this study and its valuable insights into the impact of PBIS may be limited. Therefore, design alignment with the appropriate population and sampling strategies is key in enhancing feasibility and yielding useful outcomes for both studies.

References

Hanif, M., Shahbaz, M. Q., & Ahmad, S. M. (2017). Sampling techniques: Methods and applications.

Opuda, E. (2022). Finding inclusion and exclusion criteria in datasets.

Patino, C. M., & Ferreira, J. C. (2018). Inclusion and exclusion criteria in research studies: Definitions and why they matter. Jornal Brasileiro de Pneumologia, 44(2), 84-84. https://doi.org/10.1590/s1806-37562018000000088

Willie, M. M. (2022). Differentiating between population and target population in research studies. International Journal of Medical Science and Clinical Research Studies, 02(06). https://doi.org/10.47191/ijmscrs/v2-i6-14

Willie, M. M. (2024). Population and target population in research methodology. Golden Ratio of Social Science and Education, 4(1), 75-79. https://doi.org/10.52970/grsse.v4i1.405

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Question 

edr 8300 week 8 edit part 1

Week 8 Part 1
APA format
This assignment will be submitted to Turnitin™.
 
Instructions 
Consider the research focus you originally proposed in EDR-8200 and have been developing throughout this course to consider project feasibility in light of what you have learned in this course about research methodologies.
In your final assignment, you will continue to improve your problem statement based on your professor’s feedback, depict components of the nature of your study, and develop the strategies you will use to select and ethically treat your study participants. All of the work you have completed will culminate in this Signature Assignment for the course.

For this assignment, you are improving your problem, purpose, and rationale for your methodology, design, and research methods according to the previous feedback received each week from your professor. Provide a complete rationale for how and why the methodology and design you chose were the best choices for your study and how they align with your problem and purpose sentence. Support the data collection procedure and measurement strategies you chose.

  • EDR_8300_Week_5 Straite NCU .docx – Google Docs revise this assignment (58025) (Feedback below)
  • EDR 8300 Week6 RStraite NCU.docx – Google Docs use this to revise (58166)

Ensure you define and operationalize variables if you are considering a quantitative study or define and delineate constructs if you are considering a qualitative study. Discuss how the variables (quantitative) or constructs (qualitative) will be measured and how they will be evaluated to ensure validity/reliability (quantitative) or trustworthiness (qualitative) as well as how they contribute to the internal alignment of the overall research design.

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Inclusion of Students with Disabilities within the Learning Environment Using Positive Behavior Interventions and Support

Inclusion of Students with Disabilities within the Learning Environment Using Positive Behavior Interventions and Support

References
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