Using the ‘8 Famous Research Steps’ and the attached Dataset, answer the following questions, ensuring the include the following information in your response.
Identify the appropriate statistical test based on the research design and data type.
Conduct the statistical test using SPSS software and record the test statistic and associated p-value. In addition, provide a screenshot of the SPSS output.
Interpret the results, considering the null hypothesis and the obtained p-value.
Calculate and report the effect size, if applicable, to quantify the practical significance of the findings.
Provide a clear and concise conclusion based on the analysis of the data.
Using the ‘8 Famous Research Steps’, answer the following questions, ensuring to include the following information in your response.
1. Identify the appropriate statistical test based on the research design and data type. (1 pt.)
2. Conduct the statistical test using SPSS software and record the test statistic and associated p-value. In addition, provide a screenshot of the SPSS output (MUST identify the test statistic and p-value, DO NOT just paste the output). (5 pts.)
3. Interpret the results, considering the null hypothesis and the obtained p-value (i.e., do you reject or fail to reject the null). (2 pts.)
4. Calculate and report the effect size, if applicable, to quantify the practical significance of the findings. (2 pts.)
5. Provide a clear and concise conclusion based on the analysis of the data (like you would see in the literature). (5 pts.)
Module 11 Quiz Total Points: 60 points
1. A student implemented an evidence-based stress reduction intervention using the Sleep and Associated Sensations Summative Scale (SASS) and collected data for all of the patients who received the intervention (n=66). She has selected to measure pre (SASS_pre) and post (SASS_post) scores on the SASS stress scale as an outcome measure. Did the patients have lower SASS scores after the intervention compared to before the intervention?
2. She is also working with a PhD prepared research nurse who works at the hospital. The research nurse has hypothesized that sleep quality, measured by the Epworth Sleepiness Scale (EpworthScale), will be different in patients based on how much they work (unemployed, 1-10hrs/wk, 11-20hrs/wk, & 21-40hrs/wk). Were the EpworthScale scores different for individuals in different groups based on how much they work?
3. She also hypothesizes that sleep quality (EpworthScale) will be different for men compared to women (Sex). Epworth Sleepiness Scale scores can range from 0-24, with 0 indicating less daytime sleepiness and 24 indicating the most daytime sleepiness. The SASS stress scale can range from 0-50 with lower scores indicating less stress. Were Epworth Sleepiness Scale scores different for women compared to men?
4. Furthermore, she wanted to determine if there is a relationship between Life satisfaction (LifeSat) and biological sex at birth (Gender), both categorical variables. Life satisfaction(satisfied, dissatisfied) and gender (female, male) are both measured dichotomously.
