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# Communication Res Design I COM 901

MSU

GPA 3.85

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This 16 page Class Notes was uploaded by Geraldine Johns on Saturday September 19, 2015. The Class Notes belongs to COM 901 at Michigan State University taught by Hee Park in Fall. Since its upload, it has received 19 views. For similar materials see /class/207569/com-901-michigan-state-university in Communication at Michigan State University.

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Date Created: 09/19/15

Q l l a The null hypothesis is H0 There is no relationship between dogs barking frequencies and caregivers affection about dogs The alternative hypothesis is H1 There is an inverse relationship between dogs barking frequencies and caregivers affection about dogs b The critical value when or 05 is i04259 for a two tailed test c Correlation calculation in paper d Dummi s statistical conclusion Since the correlation s value 0467233182 is greater than the critical value 04259 therefore Dummi can reject the null hypothesis Q12 a The null hypothesis is H0 There is no relationship between the number of treats a puppy gets for any given day and the number of the puppy39s good behaviors per day The alternative hypothesis is H1 There is a relationship between the number of treats a puppy gets for any given day to the number of the puppy39s good behaviors per day b The critical value when or 01 is 16223 c Scatterplot in paper d Calculation of rastheproductofzscores is provided in paper e Somi s statistical conclusion Since the correlation s value 0345 is smaller than the critical value therefore we fail to reject the null hypothesis Q21 a H3 Women participants in the treatment 1 condition and men participants in the treatment 1 condition will report different levels of communication competence 2 score 2 score treat behavior 167 115 106 043 151 010 151 095 048 148 106 062 048 010 003 095 003 115 055 148 157 010 048 043 099 095 055 115 003 062 099 SubjectNo b Scatterplot with tted line 5500 c o 5000 8 o o 8 0 0 o 2 4500 O o 8 O 0 8 5 o quot a o o g o 395 4000 8 o g o o o o o 0 U 0 o a 500 o o 0 o R Llnear 0002 3000 cSelecting cases for condition 1 sex GET FILE CUsersAditi PaulDesktopMSU PHDCOM 901Homework FolderHW73 Datasav USE ALL COMPUTE lter7Condition 2 VARIABLE LABEL lteri 39Condition 2 FILTER VALUE LABELS lteri 0 Not Selected 1 39Selected FORMAT lter7 f 10 FILTER BY lter7 EXECUTE Descriptive Statistics Mean Std Deviation sex 151 505 47 Descriptive Statistics Std Mean Deviation N sex 15 1 505 47 Communication 425603 471871 47 competence Correlations Communicati on sex competence sex Pearson Correlation 1 044 Sig 2tai1ed 771 Sum of Squares and 11745 478 Crossproducts Covariance 255 010 N 47 47 Communication Pearson Correlation 044 1 competence Sig 2tai1ed 771 Sum of Squares and 478 10242 Crossproducts Covariance 010 223 N 47 47 d Ttest result Group Statistics Std Std Error sex N Mean DeViation Mean Communication woman 23 427681 517027 107808 competence man 24 423611 434493 088691 Independent Samples Test Levene s Test for Equality of Variances ttest for Equality of Means 95 Con dence Interval of the Difference Sig 2 Mean Std Error F Sig t df tailem Difference Difference Lower Upper Communication Equal 573 453 293 45 771 040700 139079 320820 competence variances 239420 assumed Equal 292 43011 772 040700 139601 322231 variances 240830 not assumed e The degrees of freedom n2 472 45 The observed p value is 771 is the same in both ttest and the pointbiserial correlation The Formula for converting t to r t2t2df 2932293245 08584908584945 0044 This gives us back the absolute value of r We can also implement the formula for converting r to t t rxy n2 1r2xy 044V451 0442 044670820998064 29516089990315 02954 Therefore we see that the absolute value oft from r is the same as observed in the aforementioned table It was hypothesized that women participants in the treatment 1 condition and men participants in the treatment 1 condition would report different levels of communication competence The correlation between communication competence and sex is not significant r 45 004 p 077 There was no relation between communication competence and seX Therefore the data were not consistent with the hypothesis Q22 a The null hypothesis is H0 There is no relationship between communication competence and communication satisfaction after treatment The alternative hypothesis H1 Communication competence is positively related to communication satisfaction after treatment b 7000 0 B o e o o o 8 o o o 6000 00 e 00 o e 8 o o o o o oo o 8 g 0 be 8 c o E 0 o O O 3 5 000 0 o E o o o o o o o 0 o 0 0 83 8 o 8 9 6 0 8 9 g o o 9 o o 0 4000 c 8 o o o 0 2 o 2 Co E o oo o o o 3000 E 8 o o 2000 R2 Linear 0019 0 1000 I I I I I I I 1000 2000 3000 4000 5000 6000 7000 Communication satisfaction with friends after treatment c Descriptive Statistics Std Mean DeViation N Communication 485655 998252 138 competence Statistics Std Mean Deviation with friends treatment Correlations Communicati Communicati on satisfaction on with friends competence after treatment Communication Pearson Correlation 1 137 competence Sig 1tai1ed 055 Sum of Squares and 136521 30405 Crossproducts Covariance 997 222 N 138 13 8 Communication Pearson Correlation 137 1 quot f quot with friends Sig 1tai1ed 055 ft t t t a er rea men Sum of Squares and 30405 361316 Crossproducts Covariance 222 2637 N 13 8 13 8 d Calculation on paper Confldence Intervals for r 013 4 lower r upper lt 0137 lt 0 24323 lt 0157 lt u 27239 lt 013 lt O ZBTSQT lt 013 lt D 394476 Sta tical significance of x 0137 against 0 t 161239 df 136 p 0945657 l p 0054543 multiply p value with g for double sided testing It was hypothesized that communication competence would be positively related to communication satisfaction after treatment The correlation between communication competence and communication satisfaction was not significant r 136 13 p 0055 Therefore the data were not consistent with the hypothesis Q23 a H7 Speed in task completion is related to relative standings in total scores b This statistic is needed because the data being correlated consist of two sets of ranks Such data indicate only the ordinal position of the subjects on each variable They are at the ordinal level of measurement c Scatterplot a how fast one completed tasks a i o 25 o 0 0 00 o o 0 0 o o 0 0 R2 Linear 0841 O o 9 00 0 o I I I I I I o 25 50 75 100 125 Relative position in total scores d Speculation of Relationship Looking at the relationship the correlation coefficient and the tted line we can comment that there is a weak positive linear relationship between relative position in total scores and how fast one completed task e Correlations Relative how fast one position in completed total scores tasks Spearman s rho Relative position in total Correlation 1000 202 scores Coefficient Sig 2tailed 018 N 13 8 138 how fast one completed Correlation tasks Coef cient Sig 2tailed N 202 018 138 1000 138 Correlation is signi cant at the 005 level 2tailed Q24 Fquot It was hypothesized that speed in task completion is related to relative standings in total scores The correlation between speed in task completion and relative standings in total scores is signi cant r 136 20 p lt05 Speed in task completion is positively related to relative standings in total scores The higher the speed is in task completion the greater is the relative standing in total scores Therefore the data were consistent with the hypothesis H6 Women are more likely to be enrolled in an organ donor registry than men This statistic is needed because both of the variables are dichotomous The datat is thus represented in a fourfold table and the correlation is computed directly from the frequencies and marginals 10 0 whether or not people are registered organ donors 02 Rrz Linear 0047 0 O O I I I I I I 1 1 2 1 4 16 1 8 2 Speculation of Relationship For group 1 ie women we see that the line starts from approximately 06 which is closer to group 0 in organ donation category For group 2 ie men the line starts at approximately near 03 which means it is closer to group 0 in organ donation category This shows that there are more women organ donators than men It is a negative linear relationship e SPSS Data Output Valid Total N Percent N Percent N Percent or not people 1 registered organ sex whether or not people are registered organ donors sex Crosstabulation Count sex woman man Total whether or not people no registration 29 45 74 are registered organ yes 39 25 6 4 donors Total 68 70 138 Chi Square Tests Asymp Sig Exact Sig 2 Exact Sig 1 Value df 2sided sided sided Pearson ChiSquare 6494a 1 011 Continuity Correctionb 5 653 1 017 Likelihood Ratio 6 545 1 011 Fisher39s Exact Test 017 009 Linearby Linear 6 447 1 011 A u N of Valid Cases 138 a 0 cells 0 have expected count less than 5 The minimum expected count is 3154 b Computed only for a 2x2 table Symmetric Measures Asymp Std Approx Value Errora Approx Tb Sig Nominal by Phi 217 011 Nominal Cramer s V 217 011 Interval by Interval Pearson39s R 217 083 2592 011C Ordinal by Ordinal Spearman 217 083 2592 011c Correlation N of Valid Cases I 13839 a Not assuming the null hypothesis b Using the asymptotic standard error assuming the null hypothesis c Based on normal approximation Bar Chart 50 wormn In39an Count no registration yes whether or not people are registered organ donors It was hypothesized women are more likely to be enrolled in an organ donor registry than men The correlation between seX and whether or not people are registered organ donators was signi cant r 136 21 p lt05 Women were found to be registered organ donators more than men Therefore the data were consistent with the hypothesis Q 25 a Selecting cases with seXl ie women USE ALL COMPUTE filterisex 1 VARIABLE LABEL f11ter7 seX 1 FILTER VALUE LABELS lter7 0 Not Selected 1 Selected39 FORMAT f11ter7 f10 FILTER BY filter7 EXECUTE Statistics Std Deviation Mean with friends treatment Correlations Communicati on satisfaction Communicati with friends on before competence treatment Communication Pearson Correlation 1 128 competence Sig 2tailed 299 Sum of Squares and 84105 13619 Crossproducts Covariance 1255 203 N 68 68 Communication Pearson Correlation 128 1 quot f quot with friends Sig 2tailed 299 before treatment Sum of Squares and 13619 135224 Crossproducts Covariance 203 2018 N 68 68 7000 O o 8 0 o o o o o 6000 p o 0 0 0 o 8 o o o O 5 o o O o 5000 0 8 o o o o o E o o o o o 8 0 o o O 0 o 4000 0 o e 0 399 o o o o o E 3000 0 o o 2000 R2 Linear 0016 c 1000 I I I I I I I 1000 2000 3000 4000 5000 6000 1000 Commnication satisfaction with friends before treatment b Selecting cases for men 0n1yie seX2 FILTER OFF USE ALL EXECUTE USE ALL COMPUTE lter7sex 2 VARIABLE LABEL lter7 39seX 2 FILTER VALUE LABELS lter7 0 Not Selected 1 Selected39 FORMAT lter7 f 10 FILTER BY lter7 EXECUTE Statistics Std Mean Deviation with friends treatment Correlations Communicati on satisfaction Communicati with friends on before competence treatment Communication Pearson Correlation l 279 competence Sig 2tai1ed 019 Sum of Squares and 52414 26376 Crossproducts Covariance 760 382 N 70 70 Communication Pearson Correlation 279 l quot f quot with friends Sig 2tai1ed 019 b f t t t e ore rea men Sum of Squares and 26376 169922 Crossproducts Covariance 382 2463 N 70 70 Correlation is signi cant at the 005 level 2tailed tion competence Conmuni 7000 6000 5000 4000 O 3000 R2 Linear 0078 O 2000 I I I I I I I 1000 2000 3000 4000 5000 6000 7000 Conmunication satisfaction with friends before treatment

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