In this assignment, you will be creating a PowerPoint presentation based on the application of the functional health assessment of a movie character. To complete this assignment, choose a movie from the following list and identify a character from the movie on whom you would like to do a health assessment. If you wish to use a character from a movie not included on the following list, get the approval of your instructor.

Films:

Away From Her

Lorenzo’s Oil

Mask

My Sister’s Keeper

Philadelphia

Rain Man

Steel Magnolias

Stepmom

The Elephant Man

The Mighty

The Tic Code

Directions:

Create a PowerPoint presentation of 10-12 slides using the template “Movie Character Presentation.”

Provide an introduction and background overview of the movie character (client).

Assess the client using the “Functional Health Pattern Assessment.”

Based on your “observations” and thoughts, document your assessment, providing examples from the movie.

Describe any observed or potential cultural, geographic, religious, ethnic, or spiritual considerations of this client.

Describe two normal health patterns of the client as well as two abnormal health patterns that you observe, and provide examples.

Develop an appropriate nursing diagnosis for the client based on your assessment.

Identify and describe three interventions for the client: health promotion, health prevention, and maintenance.

Identify at least two possible resources or community services to which you would refer this client and provide rationale for your choices.

In addition to submitting the presentation to the instructor, post your assignment to the Movie Character Health Assessment Presentation Main Forum as directed by instructor. Respond to other students’ posts in a manner that initiates or contributes to discussion. Each person should make at least three substantive comments.

While APA format is not required for the body of this assignment, solid academic writing is expected and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

Analysis of variance, ANOVA, is a statistical technique used to analyze the variation between two or more groups so as to discover the disparity among the group means. Analysis of variance is used to examine the general variation instead of a specific variation between means.

The assumptions that involve the use of ANOVA are:

• The population is normally distributed
• The population is mutually exclusive
• All population should have equal variance
• The measurement of the dependent variable is at
  the internal/ratio level
• Each observation of the samples are independent

ANOVA consists of two types of measurements: first, one-way ANOVA and second, two-way ANOVA. The one-way ANOVA is measuring variations among different
groups, comparing two groups or more. The one-way ANOVA is the preferred statistical test when examining two or more groups. An example of using one-way
ANOVA  is the analysis of a particular sport but on different education levels like sophomore, junior, or senior. The two-way ANOVA is used when the variations analysis is comparing a much more complicated pair of groupings. An example of two-way ANOVA could be analyzing the grades of an American senior student to the grades of a student who is studying in America on the exchange student program.

comment2

Analysis of variance refers to the differences between two, three, or more groups. The textbook says two or more groups, while the visual learner says three or more groups (Grove & Cipher, 2017, p. 179); (The Visual Learner, 2018). There are different versions of the analysis of variance (ANOVA) tests but the most basic form, is a one-way ANOVA. The one-way ANOVA has only one dependent variable and one independent variable. The variable is dependent if it is being tested and measured. The independent variable is the variable that is changed to see how it affects the dependent variable. The outcome of the ANOVA provides an F-ratio that is an average of the differences between the groups. There will also be a F-critical value. If the F-critical value is not more than the F-ratio, the null hypothesis would be rejected at the given alpha level.

The test must meet certain guidelines. The distributions of the populations should be very near normal. The variance of the population should be the same. The samples must be quantitative and taken from simple random samples and the samples must not be dependent on one another (The Visual Learner, 2018).

The repeated-measures analysis of variance can be used to measure changes in the dependent variable over extended periods of time.

Post hoc analysis can then be used to find the location of the variance. These tests include the Dunnett test, Newman-Keuls test, the Scheffe test and the Tukey Honestly Significant Difference (HSD) test (Grove & Cipher, 2017).