T4 DQ2

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School

Grand Canyon University *

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Course

832

Subject

Management

Date

Nov 24, 2024

Type

docx

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1

Uploaded by BauerKingston2025

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Assume you wish to study the influence of high school principals’ leadership styles and academic achievement in their schools in your state. How would you sample 12-15 potential participants for a single case study using convenience sampling and purposeful sampling? What factors would make you choose one approach over the other? Why? What logistic difficulties could you expect in drawing the sample? For this study, both convenience sampling and purposeful sampling are recommended. Convenience sampling involves selecting participants based upon their availability, as accessibility is the only true criterion used for this type of sampling because the researcher does not have the luxury of imposing additional criteria, such as age range, job title, institutional affiliation, familiarity with the topic, and so forth (Greenberger & Steffes, 2022). Purposeful sampling is a nonprobability method of selecting a research study sample based on who the researcher believes will be the most useful to the study or the most representative of the population being studied (Greenberger & Steffes, 2022). Using purposeful sampling could prove to be more beneficial, as one can gain more information about the leadership styles and academic achievement. This approach fulfills most of the sampling requirements and obtaining the information from past students would also attribute to the leadership styles and academic achievements. In contrast, convenience sampling cannot be generalized, lacks transferability, and may introduce bias, or subjectiveness, into a study (Sykes et al, 2018). Difficulties that can happen in drawing the sample could be difficulties in finding former students who can provide the richest information as well as finding their current contact information. REFERENCES: Greenberger, S & Steffes, D (2022). Qualitative sampling plans. GCU doctoral research introduction to sampling, data collection, and data analysis. Grand Canyon University. Sykes, B. L., Verma, A., & Hancock, B. H. (2018). Aligning sampling and case selection in quantitative and qualitative research designs: Establishing generalizability limits in mixed- method studies. Ethnography , 19(2), 227–253.
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