Sample Survey Designs in Education—Focus on Administrative Utilization.
The article focuses on the importance of sample survey designs in the administrative utilization. Sampling theory and techniques have numbers of distinct advantages over a census survey such as: (a) it permits the school executive to cut the cost of doing the survey (b) it can reduce the total manpo...
| Published in: | Review of Educational Research Vol. 36; no. 5; pp. 552 - 566 |
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| Format: | Article |
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Sage Publications Inc.
Dec1966
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=19707460&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 19707460 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00346543 RER jtl: Review of Educational Research issn: 00346543 maglogo: Y pubinfo: dt: Dec1966 vid: 36 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 19707460 10.2307/1169481 ppf: 552 ppct: 14 formats: tig: atl: Sample Survey Designs in Education—Focus on Administrative Utilization. aug: au: Furno, Orlando F. su: Sampling (Process) Surveys Census School administrators Labor supply Schools Statistics Educational finance sug: subj: Sampling (Process) Surveys Census School administrators Labor supply Schools Statistics Educational finance ab: The article focuses on the importance of sample survey designs in the administrative utilization. Sampling theory and techniques have numbers of distinct advantages over a census survey such as: (a) it permits the school executive to cut the cost of doing the survey (b) it can reduce the total manpower requirements to do the survey (c) it permits vital school statistics to be amassed more quickly. It is suggested not to use sampling techniques to estimate total school withdrawals in the preparation of monthly school revenue and expenditure. ST has disadvantages: (1) the actual sampling error cannot always be predicted accurately (2) when the sample is improperly designed wrong conclusions can be made (3) high variability can lead to uninformative results. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1966 holdings: @attributes: islocal: N |
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