Die Untersuchung landwirtschaftlich und gewerblich wichtiger Stoffe

Procedures in employment psychology

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Monograph

Identifikator:: 883823179

URN:: urn:nbn:de:zbw-retromon-4396

Document type:: Monograph

Author:: König, Joseph http://d-nb.info/gnd/119182084

Title:: Die Untersuchung landwirtschaftlich und gewerblich wichtiger Stoffe

Edition:: Dritte, neubearbeitete Auflage

Place of publication:: Berlin

Publisher:: Verlagsbuchhandlung Paul Parey

Year of publication:: 1906

Scope:: 1 Online-Ressource (XXIII, 1083 Seiten)

Digitisation:: 2017

Collection:: Economics Books

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Document type:: Monograph

Structure type:: Chapter

Title:: Beschädigungen der Vegetation durch Rauch und Staub

Collection:: Economics Books

I EMPLOYMENT PSYGHOLOGY between the mean of a sub-group and the mean of the total of which it is a part is given by Pearson (Biom., Vol. V, p. 182) as 22 gt 2n n(M—m)? 4 NS Hol Sy where = is the standard deviation of the total and NV the number of cases in the total, ¢ the standard deviation of the sub-group and # the number of cases in the sub-group, M the mean of the total and » the mean of the sub-group (51, p- 114). Differentiation of groups by questionnaire items may be computed in a similar way. A comparison is made of the proportions of each of the two groups (vocational successes and failures) giving certain answers to certain questions. The formula for the standard error of the difference in pro- portions is as follows: (10) 6; = p7 ot 2 where p, is the proportion of one group indicating the an- swer, g, the proportion of the same group not indicating the answer, p. the proportion of the second group indicating the particular answer, gq, the proportion of the second group not indicating the answer, and #z, and 7. the numbers of indi- viduals in each of the two groups. A difference in propor- tions may be considered significant if it is two or more times as great as its standard error. A brief example of the use of this formula in measuring the significance of group differ- ences in answering a questionnaire item, is given below. The method is more fully explained in reference 57. EXAMPLE: Question: Can you do good work while people are looking on? Total Number Proportion Proportion Number Ans. Yes Ans. Yes Not Ans. Yes Successful salesmen 40 (nn) 32 .80 (p) .20(q,) Unsuccessful salesmen 46 (n,) 23 .50 (p) .50(q.) 92

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