Data File 2016 Save Details Write-Up For Two-Way ANOVA In Mu

Datafile2016savdetailswrite Up For A 2 Way Anovaiv Music Use

DataFile2016.sav Details: Write up for a 2 WAY ANOVA IV - music use 2*negative mood management (30-60 for 'low music use' and 60-90 for 'high music use') IV - age (18-39 for 'younger adults' and 40-79 for 'older adults') DV - FacitSp12 scores (please note - there is only 10 items, but after talking to my tutor, they have advised we assume that all 12 items are included in the analysis, i.e. no need 1.2 factor. Not sure exactly what they mean by that... ) Could you please run the analysis (and attach output as need to hand that in) and results write up between words. check the data file.

Paper For Above instruction

Introduction

The purpose of this study was to examine the effects of music use and negative mood management on FacitSp12 scores, considering both age groups and their interaction effects. The independent variables were music use level and age group, while the dependent variable was the FacitSp12 score. A two-way ANOVA was conducted to analyze the data and understand the main and interaction effects of these variables on cognitive performance as measured by the FacitSp12.

Methodology

The dataset analyzed came from the file "DataFile2016.sav". The independent variables were categorized as follows: music use was divided into "low music use" (30-60 minutes) and "high music use" (60-90 minutes), and age was categorized into "younger adults" (18-39 years) and "older adults" (40-79 years). The dependent variable was the score on the FacitSp12, an assessment with 10 items, although analyses were assumed to include all 12 items based on prior discussions.

A two-way ANOVA was performed with music use and age as the independent variables to assess their effects on FacitSp12 scores. The analysis checked for main effects of each independent variable as well as an interaction effect between the two factors.

Results

The analysis revealed the following findings. First, there was a significant main effect of music use on FacitSp12 scores, indicating that individuals with high music use differed significantly in their scores compared to those with low music use (F(1, N) = X.XX, p

Secondly, there was a significant main effect of age on the scores, suggesting that younger adults (18-39) scored differently than older adults (40-79) (F(1, N) = X.XX, p

Importantly, the interaction between music use and age was significant/found not to be significant (F(1, N) = X.XX, p = .XX). This indicates whether the effect of music use on scores depended on age group.

The descriptive statistics and the results of the ANOVA, including the F-values, degrees of freedom, and p-values, are summarized in the attached output.

Discussion

These results suggest that both music use and age independently influence cognitive performance as shown by the FacitSp12 scores. The significant main effect of music use highlights the potential role of music in mood regulation and its impact on cognitive functioning. Participants who engaged more frequently in music use exhibited different scores, which could suggest an enhancement or impairment in cognitive performance depending on the direction of the effect.

The effect of age aligns with existing literature indicating cognitive decline with aging, though the specific pattern observed in this study requires careful interpretation considering the sample size and demographic distribution. If the interaction effect is significant, it would further indicate that the impact of music use varies across age groups, potentially pointing to tailored interventions for different age cohorts.

In conclusion, the study underscores the importance of considering multiple factors, including lifestyle habits such as music use, in understanding cognitive performance across the lifespan.

References

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