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Data Set Instructions

The grades.sav file is a sample SPSS data set. The fictional data represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).

Last week, you converted grades2.dat to grades.sav. There are 21 variables in grades.sav. Open your grades.sav file and go to the Variable View tab. Make sure you have the following values and scales of measurement assigned.

SPSS variable

Definition

Values

Scale of measurement

id

Student identification number

Nominal

lastname

Student last name

Nominal

firstname

Student first name

Nominal

gender

Student gender

1 = female; 2 = male

Nominal

ethnicity

Student ethnicity

1 = Native; 2 = Asian; 3 = Black;

4 = White; 5 = Hispanic

Nominal

year

Class rank

1 = freshman; 2 = sophomore;

3 = junior; 4 = senior

Scale

lowup

Lower or upper division

1 = lower; 2 = upper

Ordinal

section

Class section

Nominal

gpa

Previous grade point average

Scale

extcr

Did extra credit project?

1 = no; 2 = yes

Nominal

review

Attended review sessions?

1 = no; 2 = yes

Nominal

quiz1

Quiz 1: number of correct answers

Scale

quiz2

Quiz 2: number of correct answers

Scale

quiz3

Quiz 3: number of correct answers

Scale

quiz4

Quiz 4: number of correct answers

Scale

quiz5

Quiz 5: number of correct answers

Scale

final

Final exam: number of correct answers

Scale

total

Total number of points earned

Scale

percent

Final percent

Scale

grade

Final grade

Nominal

passfail

Passed or failed the course?

Nominal

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Running head: DATA ANALYSIS AND APPLICATION TEMPLATE
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Data Analysis & Application Template

Learner Name

Capella University

Data Analysis and Application (DAA) Template

Use this file for all assignments that require the DAA Template. Although the statistical tests will change from week to week, the basic organization and structure of the DAA remains the same.
Update the title of the template. All should be written in narrative form (delete numbered lists).

Data Analysis Plan

1. Name the variables and the scales of measurement.

2. State your research question, null and alternate hypothesis.

Testing Assumptions

1. Paste the SPSS output for the given assumption.

2. Summarize whether or not the assumption is met.

Results & Interpretation

1. Paste the SPSS output for main inferential statistic(s) as discussed in the instructions.

2. Interpret statistical results as discussed in the instructions.

Statistical Conclusions

1. Provide a brief summary of your analysis and the conclusions drawn.

2. Analyze the limitations of the statistical test.

3. Provide any possible alternate explanations for the findings and potential areas for future exploration.

Application

1. Think of your own field of study. Describe how this type of analysis might be used in your field.

2. Analyze what the value and potential implication of such an analysis would be.

References

Provide references in proper APA Style if necessary.