Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation
The authors present a condensed use of select probability and non-probability sampling methods in different sampling levels showing the utility of mixed methods (MM) in finite/infinite and heterogeneous/ homogeneous populations. This is based on a Zimbabwe entry points' survey sampling prototyp...
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Inderscience
2022
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| Online Access: | https://www.inderscience.com/info/inarticle.php?artid=102625 http://hdl.handle.net/11408/4629 |
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| author | Zimano, Felistas R. Chilunjika, Alouis |
| author_facet | Zimano, Felistas R. Chilunjika, Alouis |
| author_sort | Zimano, Felistas R. |
| collection | DSpace |
| description | The authors present a condensed use of select probability and non-probability sampling methods in different sampling levels showing the utility of mixed methods (MM) in finite/infinite and heterogeneous/ homogeneous populations. This is based on a Zimbabwe entry points' survey sampling prototype. Findings uphold the efficacy of both MM and multi-level sampling. The researchers uphold the marriage of methodologies in the MM configuration as permitting effective population coverage giving a sample that equitably captures the uniqueness of the population overcoming any disproportionateness that may be occurring in the sampling frame. The methodology consequently eliminates biases imminent in the coverage of a study area. Recommendations include the idea that researchers can utilise this method to ensure that all the various characteristics in a population are captured in their uniqueness. In the quest to promote innovativeness in education, educators can utilise this initiative as a teaching aid to expose learners to a variety of sampling paradigms ingeniously condensed in one place. |
| format | Article |
| id | ir-11408-4629 |
| institution | My University |
| language | English |
| publishDate | 2022 |
| publisher | Inderscience |
| record_format | dspace |
| spelling | ir-11408-46292022-06-27T13:49:06Z Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation Zimano, Felistas R. Chilunjika, Alouis Mixed methods Multi-level sampling Probability sampling Heterogeneous populations The authors present a condensed use of select probability and non-probability sampling methods in different sampling levels showing the utility of mixed methods (MM) in finite/infinite and heterogeneous/ homogeneous populations. This is based on a Zimbabwe entry points' survey sampling prototype. Findings uphold the efficacy of both MM and multi-level sampling. The researchers uphold the marriage of methodologies in the MM configuration as permitting effective population coverage giving a sample that equitably captures the uniqueness of the population overcoming any disproportionateness that may be occurring in the sampling frame. The methodology consequently eliminates biases imminent in the coverage of a study area. Recommendations include the idea that researchers can utilise this method to ensure that all the various characteristics in a population are captured in their uniqueness. In the quest to promote innovativeness in education, educators can utilise this initiative as a teaching aid to expose learners to a variety of sampling paradigms ingeniously condensed in one place. 2022-01-06T14:09:45Z 2022-01-06T14:09:45Z 2019 Article 1755-151X 1755-1528 https://www.inderscience.com/info/inarticle.php?artid=102625 10.1504/IJIIE.2019.102625 http://hdl.handle.net/11408/4629 en International Journal of Innovation in Education;Vol. 5; No. 4: p. 323-339 open Inderscience |
| spellingShingle | Mixed methods Multi-level sampling Probability sampling Heterogeneous populations Zimano, Felistas R. Chilunjika, Alouis Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title | Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title_full | Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title_fullStr | Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title_full_unstemmed | Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title_short | Mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| title_sort | mixed methods in multi-level sampling: a research paradigms teaching and learning case to spur downstream innovation |
| topic | Mixed methods Multi-level sampling Probability sampling Heterogeneous populations |
| url | https://www.inderscience.com/info/inarticle.php?artid=102625 http://hdl.handle.net/11408/4629 |
| work_keys_str_mv | AT zimanofelistasr mixedmethodsinmultilevelsamplingaresearchparadigmsteachingandlearningcasetospurdownstreaminnovation AT chilunjikaalouis mixedmethodsinmultilevelsamplingaresearchparadigmsteachingandlearningcasetospurdownstreaminnovation |