File:Factors in college life (1919) (14772685762).jpg

Identifier: factorsincollege00harw (find matches)
Title: Factors in college life
Year: 1919 (1910s)
Authors: Harwood, Hazel May
Subjects: Women college students Women college students Academic achievement Theses
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Contributing Library: University of Illinois Urbana-Champaign
Digitizing Sponsor: University of Illinois Urbana-Champaign

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resentation of the results recorded in Table 6.Rank orders, 1-20, are represented vertically; individuals from J to G are listedhorizontally in final rank (R) order. (From Table 7, column 11) Thus J* who ranks1, is placed in first position; T ^-second and so on to G, rank 20, who is giventhe last place. The four activitiesiAre graphed in colored inks, black forscholarship, purple for mental tests, green for student activities and red forsocial life. Reading vertically from the chart, any students record on the fourfactors may be found. For example student R (fourth in final rank) ranks 1 instudent activities, 2 in scholarship, 9 in native ability and 13 in social life.Reading across the chart shows which students attain any particular rank. Thusrank 2 is attained by T on social life, by S on 3tudent activities, by R onscholarship and by F on native ability. 1. Notice that students J and T, whose final ranks are 1 and 2, do not rank 1 inany single factor, nor does J even rank 2 in any.
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U. OF 1. S. S. FOIM 3 22 What is the significance of these values? What, more especially, is therelationship between the four factors? Table 8 shows these relationships orthe values found by computing the correlations between Bj, R2, R3 and H4. TABLE 8CorrelationsFrom rank-orders found in Table 7 1. Rx to R2 Scholarship to Native Ability r r .61 2. to R3 Scholarship to Student Activities r = .06 3. Rj to R4 Scholarship to Social Life r =-.19 4. R2 to R3 Native Ability to Student Activities r - .29 5. Rg to R4 Native Ability to Social Life r =.07 6. R3 to R^ Student Activities to Social Life r * .35P.E = .09 Correlations; All correlations throughout this study are computed by Spearmans Foot-Rule or R method. R r 1 — . These values are then reduced to Pearsons coefficient r by the use of a reduction formula or table.* The Probable Error for all of these correlations is found by the formula P.E.a * —Since there is only one variable in the formula and it remainsn constant, throughout

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