#help with spss assignment

[cicadasrcool]

This is probably a long shot, but I'm taking a quantitative methods seminar, and I'm struggling to understand which tests I should run (I tend to be a more rhetorical and qual researcher...). Any SPSS heads out there who want to help me out with this rough draft flow chart I'm trying to make?

[fagm77]

I don't fucking remember how to do statistical analyses.........

[dorthy14206]

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[writehw]

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[statisticshelpdesk2024]

SPSS Factor Analysis for Beginners - This article provides a guide for beginners in the techniques of exploratory and confirmatory factor analysis by the SPSS program which helps to achieve data reduction and construct validation. Visit us:

👉https://www.statisticshelpdesk.com/SPSS-Assignment-Homework-Help.php

[spssassignmenthelpuk]

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When Drag Queens Were King

With the conflicts about LGBTQIA+, it is fascinating to look back at the history of gays in American history. Once, not only accepted but widely celebrated, drag was a prominent face in the entertainment industry.

During the Shakespearean period, in the late 16th century and early 17th century, women were not permitted to perform on the stage. Men played the female roles. While this wasn’t exactly “drag”, it’s possible gay men took advantage of the opportunity to express their feminine sides.

Originally, drag was not only applied to men performing while dressed as women but, any performer dressed in costumes other than their own gender. In fact, the first recorded drag contest and “ball” in America took place in 1867! Men and women performed in Harlem, New York. There were drag queens and drag kings. Notable during the 1880’s and 1890’s was William Dorsey Swann. Known as the Queen of Drag, Dorsey was more than just a drag queen. An African American, born into slavery, was known for holding secret drag balls. The “Queen of Drag”, Swann, is believed to be the first person in the United States to lead a gay resistance. He held secret drag balls in Washington, DC. One part of the drag balls included a competition known as a “cakewalk”, originally held on plantations by slaves. Couples would dance in precise steps and formation. It is believed to have been a way to subtly make fun of the formal white dances pre and post emancipation. As dance contests, the winners were awarded with cakes!

The Jazz Age (from 1920 - early 1930’s) in large cities like New York, Chicago, and San Francisco saw the popularity of drag performers rise. Minstrel shows, vaudeville, and burlesque provided drag entertainment. Unlike many drag performers, Jean (Gene) Malin was not trying to impersonate a woman. During Prohibition, the days of the “pansy craze”, Malin was openly gay and proud of it. Described as flamboyant and effeminate, he entertained audiences with a wonderful sense of humor. At six feet tall and two hundred pounds, Malin had a lisp that delighted his fans. He was capable of defending himself when needed. He performed in high end nightclubs and was featured in films and on Broadway.

In 1920 Drag Balls and contests were so popular they were even represented in film. Men were referred to as “pansies” or “sissies” and were often portrayed as clothing designers or tailors, hairdressers, or choreographers and dancers. Flamboyant and effeminate, they added humor to films. Women were portrayed as more masculine and dressed in male fashions.

There were actors and actresses who were known to be homosexual, if not to the general public, usually within their professional circles. In 1930’s, Marlene Dietrich, who made no secret of her bisexuality, had the first passionate same sex kiss in a film. However, that wasn’t the first same sex kiss in film. In 1922, Cecil B. DeMille directed a silent movie l, “Manslaughter”, that included an orgy. Although the first same sex kiss has been attributed to the later film, “Wings” in 1927, it was the earlier silent movie that broke the mold.

Drag has once again become popular in America with shows like RuPaul’s Drag Race. On the other hand, the country is in turmoil. The Lesbian, Gay, Bisexual, Transgender, Queer/Questioning, Intersex, Asexual+ (LGBTQIA+) community is already beginning to feel the change in the air, from the White House to every house, apartment, mobile home, hotel, or tent. The president has already signed several executive orders that will negatively impact LGBTQIA+ communities across the country. We can’t allow America to return to days of the Hays Code. We’ve too far to allow it to slip away.

Source: When Drag Queens Were King

[5-htagonist]

i feel like an alien i just emailed all the professors i need to cause ive missed like the past week of classes/assignments before i fucked myself irreparably... usually i just let things get so bad i cant even open the website for my classes... character development...

[faiessays]

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[victoriajohnson2556]

Unraveling Data Mysteries: A Beginner's Guide to SPSS Exploration and Analysis

Statistics plays a pivotal role as the bedrock of empirical research, offering priceless insights into the intricate relationships that exist among variables. Within the realm of graduate-level statistical analysis, we navigate the labyrinth of data using the robust Statistical Package for the Social Sciences (SPSS). Our primary objective is to unearth patterns and relationships among variables, amplifying our comprehension of the underlying data structures. Join us as we embark on an illuminating journey through two intricate numerical questions that not only challenge but also showcase the potential of SPSS in untangling the multifaceted complexities of statistical analysis. If you are seeking assistance or struggling with your SPSS assignment, rest assured that this exploration might provide the help with SPSS assignment you need.

Question 1:

You are conducting a research study to analyze the relationship between students' hours of study and their final exam scores. You collect data from a sample of 100 graduate students using SPSS. The dataset includes two variables: "Hours_of_Study" and "Final_Exam_Score." After importing the data into SPSS, perform the following tasks:

a) Calculate the mean, median, and mode of the "Hours_of_Study" variable.

b) Determine the range of the "Final_Exam_Score" variable.

c) Generate a histogram for the "Hours_of_Study" variable with appropriate bins.

d) Conduct a descriptive analysis of the correlation between "Hours_of_Study" and "Final_Exam_Score" variables.

Answer 1:

a) The mean of the "Hours_of_Study" variable is 15.2 hours, the median is 14.5 hours, and the mode is 12 hours.

b) The range of the "Final_Exam_Score" variable is 40 points.

c) The histogram for the "Hours_of_Study" variable is attached, indicating the distribution of study hours among the graduate students.

d) The correlation analysis shows a Pearson correlation coefficient of 0.75 between "Hours_of_Study" and "Final_Exam_Score," suggesting a strong positive correlation between the two variables.

Question 2:

You are conducting a multivariate analysis using SPSS to examine the impact of three independent variables (Variable1, Variable2, Variable3) on a dependent variable (Dependent_Variable). The dataset includes 150 observations. Perform the following tasks:

a) Provide the descriptive statistics for each independent variable (mean, standard deviation, minimum, maximum).

b) Conduct a one-way ANOVA to determine if there are significant differences in the mean scores of the Dependent_Variable based on the levels of Variable1.

c) Perform a regression analysis to assess the combined effect of Variable2 and Variable3 on Dependent_Variable.

Answer 2:

a) Descriptive statistics for each independent variable are as follows:

Variable1: Mean = 25.3, SD = 3.6, Min = 20, Max = 30

Variable2: Mean = 45.8, SD = 5.2, Min = 40, Max = 50

Variable3: Mean = 60.4, SD = 7.1, Min = 55, Max = 70

b) The one-way ANOVA results indicate a significant difference in the mean scores of Dependent_Variable based on the levels of Variable1 (F(2, 147) = 4.62, p < 0.05).

c) The regression analysis reveals that Variable2 and Variable3 together account for 65% of the variance in Dependent_Variable (R² = 0.65, p < 0.001), suggesting a substantial combined effect of these variables on the dependent variable.

Conclusion:

SPSS serves as a powerful tool for unraveling the intricacies of statistical relationships. From exploring correlations between study hours and exam scores to conducting multivariate analyses, our journey through these graduate-level questions demonstrates the versatility and depth that SPSS brings to statistical exploration. As we navigate the depths of data analysis, we gain valuable insights that contribute to the ever-evolving landscape of statistical research.

[assignmentworkhelpau]

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[slacademichelp]

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[spssmarketingduky]

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[economicshelpdesk2024]

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