Assessing the importance of social media and social networks to rural college students seeking employment

Assessing the importance of social media and social networks to rural college students seeking employment Professors: Bill Godair, Ed DansereauStudent Researchers: Janelle Cahee, Cassandra Fyles, Chris Shattuck, Jacob Stafford

SPECIFIC AIMS This research assesses the importance of social media, social networks, and organizations employment/job portal to rural college students looking for employment. Specifically:

a)Determine the importance of social media, social network, and organizations employment/job portals to rural college students seeking employment.b)Determine the use of social media, social networks, and organizations employment/job portal by rural college students seeking employment.c)Determine the effectiveness of social media, social networks, and organizations employment/job portal use by rural college students in obtaining employment.d)Determine the importance to rural college students of their social presence in their search for employment.

a) Determine the importance of social media, social network, and organizations employment/job portals to rural college students seeking employmentq6

b) Determine the use of social media, social networks, and organizations employment/job portal by rural college students seeking employment.Q10

b)Determine the use of social media, social networks, and organizations employment/job portal by rural college students seeking employment.Q 11

c) Determine the effectiveness of social media, social networks, and organizations employment/job portal use by rural college students in obtaining employment.

Q 14

c) Determine the effectiveness of social media, social networks, and organizations employment/job portal use by rural college students in obtaining employment.

Q 13

c) Determine the effectiveness of social media, social networks, and organizations employment/job portal use by rural college students in obtaining employment.

Q 13

d) Determine the importance to rural college students of their social presence in their search for employmentQ16 & 17

H1: Is there a statistically significance between gender on their perception of the importance of social media, social network, and organizations employment/job portals to rural college students seeking employment.Chi-Square TestsValuedfAsymp. Sig. (2-sided)Pearson Chi-Square (a)4.7278 .786Likelihood Ratio5.3458 .720Linear-by-Linear Association .3341 .563N of Valid Cases 207(a) 8 cells (53.3%) have expected count less than 5. The minimum expected count is .06.

H2: Gender difference does not have a statistically significant effect on utilization of social media and social network by rural college students seeking employment Q2 x Q11What is your gender? * Past employment searches CrosstabulationWhat is your gender? * Future employment searches CrosstabulationChi-Square TestsAsymp. Sig. Valuedf(2-sided)Pearson Chi-Square19.457a14.148Likelihood Ratio15.75514.329Linear-by-Linear Association.7161.397N of Valid Cases 199a 10 cells (41.7%) have expected count less than 5. The minimum expected count is .05.

Symmetric MeasuresValueApprox. Sig.Nominal by NominalPhi.313.148Cramer's V.221.148N of Valid Cases 199

Chi-Square TestsAsymp. ValuedfSig. (2-sided)Pearson Chi-Square13.321a14.501Likelihood Ratio10.76814.704Linear-by-Linear Association.3531.553N of Valid Cases 197a 10 cells (41.7%) have expected count less than 5. The minimum expected count is .03.

Symmetric MeasuresValueApprox. Sig.Nominal by NominalPhi.260.501Cramer's V.184.501N of Valid Cases 197

H2: Gender difference does not have a statistically significant effect on utilization of social media and social network by rural college students seeking employment Q2 x Q11What is your gender? * Past employment searches CrosstabulationWhat is your gender? * Future employment searches CrosstabulationChi-Square TestsAsymp. Sig. Valuedf(2-sided)Pearson Chi-Square19.457a14.148Chi-Square TestsAsymp. ValuedfSig. (2-sided)Pearson Chi-Square13.321a14.501

Testing the null hypothesis of no significant difference between observed and expected frequencies at the .01 level of significance, the critical value would be 29.141. Therefore, if the chi-square statistic for this goodness-of-fit test were equal to or greater than the critical value of 29.141, the null hypothesis of no difference would be rejected at the .01 level of significance, and the alternative hypothesis that a difference exist would be supported.

CV = 29.14119.45713.321We fail to reject the null hypothesis of no difference since the Observed Value is less than the Critical Value.

H2: Statistical significance between past and future use of social media and social networkQ2 x Q11Past employment searches * Future employment searches CrosstabulationChi-Square TestsAsymp. Sig. Valuedf(2-sided)Pearson Chi-Square273.110a49.000Likelihood Ratio186.84949.000Linear-by-Linear Association67.9001.000N of Valid Cases 203a 50 cells (78.1%) have expected count less than 5. The minimum expected count is .25.Symmetric MeasuresValueApprox. Sig.Nominal by NominalPhi1.160.000Cramer's V.438.000N of Valid Cases 203

Testing the null hypothesis of no significant difference between observed and expected frequencies at the .01 level of significance, the critical value would be 74.92. Therefore, if the chi-square statistic for this goodness-of-fit test were equal to or greater than the critical value of 74.92, the null hypothesis of no difference would be rejected at the .01 level of significance, and the alternative hypothesis that a difference exist would be supported.

CV = 74.92

OV = 273.110We fail to accept the null hypothesis of no difference since the Observed Value is Greater Than the Critical Value.

H3: Statistical significance between past and future use of social media and social networkQ2 x Q11Critical Chi-square (2) value: 66.33864886

If the researcher were testing the null hypothesis of no significant difference between observed and expected frequencies at the .10 level of significance, the critical value would be 12.017. Therefore, if the researcher's chi-square statistic for this goodness-of-fit test were equal to or greater than the critical value of 12.017, the null hypothesis of no difference would be rejected at the .10 level of significance, and the alternative hypothesis would be supported.http://flylib.com/books/en/2.890.1.319/1/

http://www.danielsoper.com/statcalc/calculator.aspx?id=12

ANALYSISH2: Gender difference does not statistically significant effect rural college students perception on the importance of their social presence on social network/social media during their search for employment http://homepage.stat.uiowa.edu/~mbognar/applets/chisq.html

http://www.distributome.org/js/sim/ChiSquareSimulation.html

ANALYSISH4: Class level does not statistically significant effect rural college students use of social network/social media during their search for employment.

ANALYSIS

DemographicsGenderQ2

DemographicsAgeQ - 3

DemographicsClass StatusQ - 4

DemographicsQ - 5

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Q19To what extent do you agree or disagree with the following statements.

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ANALYSIS