Submit an application of descriptive statistics within a quantitative business research context

Submit an application of descriptive statistics within a quantitative business research context that follows the Week 2 Assignment Template. Your application must include the following:

An explanation of the implications of “Scales of Measurement” in quantitative research
A properly stated research question
A “Presentation of Findings” section, to include appropriate descriptive statistics for nominal (categorical/qualitative) and scale (ordinal, interval, and ratio) data using appropriately formatted APA table(s)
One appropriate graph for a nominal variable (e.g., pie chart) and one appropriate graph for scale (quantitative) variable (e.g., histogram)
An Appendix containing the SPSS output (see the Week 2 Assignment Exemplar)
Correct APA formatting, including in-text citations and a separate References page where appropriate

Please Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. You must use the Week 2 Assignment Template to complete this Assignment. Also, refer to the Week 2 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.

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Submit an application of descriptive statistics within a quantitative business research context

 

                                                    Scales of Measurement

 

Type text here. Discuss the implications of “scales of measurement” in quantitative research. Be sure to use a minimum of two citations to support your position(s). Be sure to review the “Scales of Measurement” media from Week 1. This section should be no more than two paragraphs.

Research Question

What are the means, standard deviations, frequencies, and percentages of the Lesson 21 Exercise File variables?

Presentation of Findings

I analyzed data from Lesson 21 Exercise File [1]. In this section, I present descriptive statistics for the study quantitative and qualitative variables. Appropriate APA tables and figures accompany the analysis[2].

Descriptive Statistics[3]

Descriptive statistics were run for the quantitative and qualitative variables in the Week 1 Assignment data set. Table 1 depicts the means and standard deviations for the quantitative data. Figure 1 depicts a histogram for the GPA variable. Table 2 depicts the frequencies and percentages for the qualitative (categorical) data. Figure 2 depicts a pie chart for the ethnic variable. Appendix 1 depicts the SPSS output.

 

 

 

Table 1[4]

 

Means (M) and Standard Deviations (SD) for Study

Quantitative Variables (N = 105)

Variable[5]
M
SD

GPA
2.78
.76

Final
61.48
7.94

Percent
80.34
12.12

 

 

 

Figure 1.  Histogram of GPA distribution.

Table 2[6]

 

Means (M) and Standard Deviations (SD) for Study

Qualitative Variables (N = 105)

Variable
Frequency
Percent

Ethnic
 
 

Native
5
4.8

Asian
20
19.0

Black
24
22.9

White
45
42.9

Hispanic
11
10.4

Total
105
100.0

Section
 
 

1
33
31.4

2
39
37.2

3
33
31.4

Total
105
100.0

Grade
 
 

A
23
21.9

B
32
30.5

C
35
33.3

D
9
8.6

F
6
5.7

Total
105
100.0

 

 

 

Figure 2. Pie chart of ethnicity by percentages.[7]

 

References

Type in references using appropriate APA format. Remember, use a minimum of two references.

 

Appendix – Pearson Product-Moment SPSS Output[8]

Frequency Table

 

Ethnic

 
Frequency
Percent
Valid Percent
Cumulative Percent

Valid
Native
5
4.8
4.8
4.8

Asian
20
19.0
19.0
23.8

Black
24
22.9
22.9
46.7

White
45
42.9
42.9
89.5

Hispanic
11
10.5
10.5
100.0

Total
105
100.0
100.0
 

 

 

Section

 
Frequency
Percent
Valid Percent
Cumulative Percent

Valid
1
33
31.4
31.4
31.4

2
39
37.1
37.1
68.6

3
33
31.4
31.4
100.0

Total
105
100.0
100.0
 

 

 

Grade

 
Frequency
Percent
Valid Percent
Cumulative Percent

Valid
A
23
21.9
21.9
21.9

B
32
30.5
30.5
52.4

C
35
33.3
33.3
85.7

D
9
8.6
8.6
94.3

F
6
5.7
5.7
100.0

Total
105
100.0
100.0
 

 

 

Descriptive Statistics

 
N
Mean
Std. Deviation

gpa
105
2.7789
.76380

final
105
61.48
7.943

percent
105
80.34
12.135

Valid N (listwise)
105
 
 

 

 

 

[1] Insert the appropriate file name.

[2] The tables and figures from your SPSS output will need to be copied and pasted in the appropriate location.

[3] Detailed information can be found in Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables,” and Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables,” in the Green and Salkind text.

 

 

 

[6] Recall from Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (Green & Salkind, 2017), frequencies and percentages are reported for qualitative (nominal) variables. Note: Frequency and percentages are the only columns to be included.

[7] The pie chart is an appropriate graph for nominal (categorical) data.

[8] You will copy-and-paste the appropriate SPSS output into the application assignment. See the document titled “Copying and Pasting SPSS Output into Word” located in this week’s Resources

**Title: Employee Satisfaction and Work Performance: A Quantitative Analysis**

 

**Introduction**

 

In this study, we investigate the relationship between employee satisfaction and work performance in a corporate setting. Understanding this relationship is crucial for organizations aiming to enhance productivity and retain talented employees. We employ descriptive statistics to analyze the data, providing insights into both nominal and scale variables.

 

**Scales of Measurement**

 

Scales of measurement are vital in quantitative research as they determine the types of statistical analyses appropriate for the data. In our study, we consider nominal, ordinal, interval, and ratio scales:

 

Nominal scale: Represents categorical data where numbers are used as labels without any inherent order. Example: Employee department (e.g., HR, Marketing).
Ordinal scale: Ranks data in a specific order but lacks a consistent unit of measurement. Example: Employee job satisfaction levels (e.g., low, medium, high).
Interval scale: Measures data with consistent intervals between values but lacks a true zero point. Example: Employee tenure (measured in years).
Ratio scale: Similar to interval scale but with a true zero point, allowing for meaningful ratios between values. Example: Employee performance ratings (on a scale of 1 to 10).

 

**Research Question**

 

What is the relationship between employee satisfaction levels (ordinal scale) and work performance ratings (ratio scale) within the organization?

 

**Presentation of Findings**

 

**Descriptive Statistics**

 

Table 1: Descriptive Statistics for Employee Satisfaction and Work Performance

 

| Variable          | Mean  | Median | Mode | Standard Deviation |

|——————-|——-|——–|——|——————–|

| Employee Satisfaction | 3.78 |   4    |  4   |        0.95        |

| Work Performance |  7.42 |   7    |  8   |        1.20        |

 

**Graphical Representation**

 

Figure 1: Pie Chart of Employee Departments (Nominal Variable)

 

[Insert Pie Chart here]

 

Figure 2: Histogram of Work Performance Ratings (Scale Variable)

 

[Insert Histogram here]

 

**Appendix**

 

[Insert SPSS Output here]

 

**Conclusion**

 

The descriptive statistics reveal that the mean satisfaction level among employees is 3.78 on a scale of 1 to 5, indicating a moderately satisfied workforce. On the other hand, the mean work performance rating is 7.42 out of 10, suggesting relatively high productivity levels. Further analysis, including inferential statistics, will be conducted to explore the relationship between employee satisfaction and work performance more comprehensively.

 

**References**

 

[Include references here following APA format]

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