Question

please help me with this assignment. thank you.

In this assignment you will conduct a one-way and factorial ANVOA and interpret the results.

You will be presented with 2 studies:

In the first you will (1) state populations and hypotheses; (2) conduct a One-way ANOVA using SPSS; (3) report the results using proper APA format; (4) if there was a significant result, conduct post-hoc tests; (5) describe the results to this study; (6) describe the implications of this study; (7) determine the strengths and weaknesses of the ANOVA.

In the second you will (1) state populations and hypotheses; (2) conduct a Factorial ANOVA in SPSS; (3) report all results using proper APA format; (4) indicate if there was an interaction or not using proper APA format; (5) if there was a significant result, conduct post-hoc tests; (6) describe the results to this study; (7) describe the implications of this study; describe any strengths and weaknesses of this ANOVA. Finally, be sure to include any SPSS outputs as well.

A social psychologist is interested in if the type of music a college student is listening to has any effect on the number of hours per week the student studies. A group of college students identified to one of four types of music: rock and roll, jazz, country, and showtunes. Ten students were selected for each group. In addition to this the psychologist wondered if gender would have an impact on the hours studying as well so each of the 4 groups were separated into 10 male and 10 female (80 students total), and each of these student's hours studying were then recorded for a one-week period. The data is shown in the following table. Rock & Roll 6 5 6 7 6 5 5 6 7 Jazz 8 8 8 7 6 5 6 7 Country 8 8 6 7 6 7 8 5 6 7 9 8 4 5 4 female female female female female female female female female female male male male male male male male male male male 9 Showtunes 2 3 2 5 2 6 4 5 3 4 3 3 3 5 6 4 3 4 5 4 6 4 5 4 3 4 3 3 4 5 4 5 4 3 4 5 2 6 2 4 6 8 5

Answer 1

The SPSS output is:

Univariate Analysis of Variance N 20 Between-Subjects Factors Value Label Typeofmusic 1.00 Rock & Roll 2.00 Jazz 3.00 Country 4.00 Showtunes Gender 1.00 Female 20 20 20 40 2.00 Male 40 F Sig. 9.263 .000 Tests of Between-Subjects Effects Dependent Variable: Data Type III Sum Source of Squares df Mean Square Corrected Model 121.400 7 17.343 Intercept 2121.800 2121.800 Typeofmusic 64.200 3 21.400 Gender 33.800 33.800 Typeofmusic * Gender 23.400 3 7.800 Error 134.800 72 1.872 1 1133.306 .000 11.430 .000 1 18.053 .000 4.166 .009 Total 2378.000 80 Corrected Total 256.200 79 a. R Squared = .474 (Adjusted R Squared = .423)

Post Hoc Tests Typeofmusic Multiple Comparisons Dependent Variable: Data Tukey HSD 95% Confidence Interval Sig. Lower Bound Upper Bound .169 -2.0380 2380 .035 -2.3380 -.0620 .062 - 0380 2.2380 .169 -2380 2.0380 .899 -1.4380 .8380 .000 .8620 3.1380 Mean Difference (L- (1) Typeofmusic (J) Typeofmusic Std. Error Rock & Roll Jazz -.9000 .43269 Country -1.2000 .43269 Showtunes 1.1000 .43269 Jazz Rock & Roll 9000 .43269 Country - 3000 .43269 Showtunes 2.0000 .43269 Country Rock & Roll 1.2000 43269 Jazz .3000 .43269 Showtunes 2.3000 .43269 Showtunes Rock & Roll -1.1000 .43269 Jazz -2.0000* 43269 Country -2.3000 43269 Based on observed means. The error term is Mean Square (Error) = 1.872. *. The mean difference is significant at the 0.05 level. .035 .0620 2.3380 .899 -.8380 1.4380 .000 1.1620 3.4380 .062 -2.2380 .0380 .000 -3.1380 -.8620 .000 -3.4380 -1.1620

There is a significant main effect of the type of music. (F = 11.430, p = 0.000 < 0.05)

There is a significant main effect of gender. (F = 18.053, p = 0.000 < 0.05)

There is a significant interaction effect. (F = 4.166, p = 0.009 < 0.05)

There is a significant difference between Rock & Roll and Country music.

There is a significant difference between Jazz and Showtunes.

There is a significant difference between Country and Showtunes.

The advantages of using a two-variable design via Two-Way ANOVA:

• Decrease in cost
• The ability to analyze the interaction of two independent variables
• Increased statistical power due to smaller variance