PSYC 421 Week 2 SPSS Assignment Part 1 Example

Reviewed by Allison Pemberton, PhD · Liberty University · Updated

Raw demographic data become a description of a norm group in this PSYC 421 Week 2 example, SPSS Assignment Part 1 of Liberty University PSYC 421, a 50-point BS in Psychology task tied to Cohen and Swerdlik's chapters on statistics and norms. Because the course supplies its own data file, this sample uses a composite normative sample of 250 undergraduates who took a fictional campus stress inventory. It chooses statistics by level of measurement, reporting frequencies and percentages for gender, ethnicity and class standing, and the median alongside the mean for an age distribution skewed by older students, whose mean of 24.6 sits above a median of 22. The report describes a histogram and a bar chart in APA figure style and closes with a summary of whom the norms represent and whom they may not, the question that matters when a score is compared with a norm group.

CoursePSYC 421 Psychological Measurement (PSYC421)
Module/Week2
AssignmentSPSS Assignment Part 1
Paper typeStatistical report in APA style
Lengthabout 685 words, 2 double-spaced pages plus title page and references. Course guide: per the course guide, a table of the most appropriate descriptive statistics for the normative sample's demographic variables, graphs generated in SPSS and a descriptive summary, completed from the course's raw data file
FormatAPA 7 student paper
Points50
SchoolLiberty University Online
ProgramBS in Psychology
Where it sitsModule/Week 2 in Liberty's published PSYC 421 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for PSYC 421 Week 2

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SPSS Assignment Part 1: Describing the Demographic Characteristics of a Normative Sample With Tables, Graphs and a Summary

 

[Student Name]

School of Behavioral Sciences, Liberty University

PSYC 421: Psychological Measurement

SPSS Assignment Part 1

[Instructor Name]

[Date]

 

The data set, the test and the sample are composites standing in for the course's own SPSS file; the textbook and statistics references are real; the requirements follow Liberty's public course guide for PSYC 421.

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SPSS Assignment Part 1: Describing the Demographic Characteristics of a Normative Sample With Tables, Graphs and a Summary

Purpose

Why this part earns its pointsThe opening sentence names why norm groups are described, which gives every number in the report a purpose.
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A test score has meaning only in relation to something, and for norm-referenced tests that something is the performance of a normative sample. Cohen and Swerdlik (2018) explain that norms are only as useful as the match between the norm group and the people being tested. This report describes the demographic characteristics of the normative sample for the Campus Stress Inventory, a composite 40-item self-report measure of academic and personal stress, so that test users can judge for whom the norms are appropriate.

Method

The data file contained responses from 250 undergraduate students at four universities who completed the inventory during the fall semester. Five demographic variables were analyzed in SPSS. Gender, ethnicity and class standing are nominal variables, although class standing also has an order, so frequencies and percentages were computed for each. Age and weekly hours of paid employment are ratio variables, so the mean, standard deviation, median, minimum and maximum were computed, along with skewness to check whether the mean was a fair summary. Three participants left the employment question blank, so that variable is based on 247 cases; no other values were missing. Before running the analyses, each variable was given a descriptive label and each numeric code a value label, so that 1 for gender appears as Female in the output rather than as a bare number. The Frequencies procedure produced the counts and percentages, and the Descriptives and Explore procedures produced the continuous statistics, the skewness values and the histogram. Field (2018) recommends checking the shape of a distribution before choosing a summary statistic, and Explore makes that check easy by displaying the histogram, a boxplot and the skewness value together.

Results

Table 1 presents the descriptive statistics.

Why this part earns its pointsPlacing categorical and continuous variables in one table, each with its own statistics, shows the level-of-measurement decision at a glance.
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VariableCategory or statisticValue
Gender, n (%)Female142 (56.8)
Male104 (41.6)
Prefer not to say4 (1.6)
Ethnicity, n (%)White131 (52.4)
Black or African American46 (18.4)
Hispanic or Latino38 (15.2)
Asian21 (8.4)
Multiracial or another group14 (5.6)
Class standing, n (%)First year68 (27.2)
Second year61 (24.4)
Third year59 (23.6)
Fourth year62 (24.8)
Age in years (N = 250)M (SD)24.6 (6.8)
Mdn; range22; 18 to 58
Skewness1.92
Weekly work hours (n = 247)M (SD)14.2 (11.5)
Mdn; range15; 0 to 40
Skewness0.31

Figures

Figure 1, formatted as the American Psychological Association (2020) manual directs, is a histogram of age with a normal curve overlaid. It shows a strong right skew. Most participants were between 18 and 23, with a long tail of older students extending to 58. Because of that skew, the median of 22 describes the typical participant better than the mean of 24.6, which is pulled upward by the smaller group of students over 30.

Figure 2, a bar chart of class standing, shows four bars of nearly equal height, from 59 third-year students to 68 first-year students. A bar chart was chosen because class standing is categorical; a histogram would wrongly imply a continuous scale.

Descriptive Summary

Why this part earns its pointsThe summary restates the table in sentences, which is what a reader of a test manual actually needs.
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The normative sample is a fairly balanced group of traditional-age undergraduates, spread evenly across the four years of study, with somewhat more women than men and a majority of White students. Just over half of the sample identified as female, and about two in five identified as male. Roughly half identified as White, with Black or African American and Hispanic or Latino students forming the next largest groups. The median age of 22 and the strong right skew indicate that most participants were in the usual college age range, though a meaningful minority were older students. Participants worked an average of about 14 hours a week, with a nearly symmetric spread from no paid work to full-time employment. In practical terms, the typical member of the norm group is a 22-year-old student with a part-time job, and a test user comparing a new respondent with these norms is comparing that person with students much like this.

Implications for Test Use

These characteristics suggest that the Campus Stress Inventory norms are most appropriate for undergraduates at four-year institutions between about 18 and 25. Cohen and Swerdlik (2018) caution that norms may not generalize to groups that are poorly represented in the normative sample. Because only a small share of participants were over 30, comparisons for older adult learners, such as many online students, should be made cautiously, and the same caution applies to Asian students and to students who did not report a gender, whose small numbers limit the stability of any subgroup norms. Users should also note that all participants attended four universities in one semester, so stress levels may reflect that term's circumstances. Part 2 of the assignment will examine whether the inventory's scores are reliable and valid in this sample.

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References

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

Cohen, R. J., & Swerdlik, M. E. (2018). Psychological testing and assessment: An introduction to tests and measurement (9th ed.). McGraw-Hill Education.

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

What the PSYC 421 Week 2 instructions ask

Module/Week 2 of PSYC 421 brings the 50-point SPSS Assignment Part 1, together with the 25-question Quiz 2, after chapters 3 and 4 of Cohen and Swerdlik and a presentation, using the SPSS documents posted in the module. The guide describes the task as moving from raw data in SPSS to a description of the demographic characteristics of a normative sample. Students build a table of the most appropriate descriptive statistics for each demographic variable, generate graphs and write a descriptive summary. Part 2 in the following module continues with the same data, turning to reliability and validity, so careful variable labels and coding now save time later, and errors left in the file now will follow students into the reliability analyses.

How this PSYC 421 Week 2 example is built

The report opens with a sentence on the purpose of describing a norm group. A short method section lists each demographic variable with its level of measurement, which determines the statistics chosen. Table 1 presents frequencies and percentages for the categorical variables and the mean, standard deviation, median and range for the continuous ones. Two figures are described in APA style: a histogram showing the right-skewed age distribution and a bar chart of class standing. The descriptive summary then explains what the numbers say about the sample and whom it represents, and a final paragraph notes limits that a test user should keep in mind, especially for older and smaller subgroups.

PSYC 421 Week 2 grading rubric: where the points go

The SPSS assignment is graded on whether the statistics chosen fit each variable's level of measurement, whether the table and graphs are accurate and formatted in APA style and whether the summary describes the sample clearly. Faculty expect frequencies and percentages for nominal variables, measures of central tendency and variability for interval or ratio variables and attention to skew when choosing between the mean and the median. Graphs should match the type of variable, with bar charts for categories and histograms for continuous data, each with a numbered APA caption. A strong summary connects the description to the purpose of norms, explaining for whom comparisons with this sample would be appropriate.

PSYC 421 Week 2 help: mistakes that cost points

Students sometimes report a mean for a variable like gender or ethnicity, which has no meaningful average. Decide each variable's level of measurement first, then choose statistics to match. Check the shape of continuous variables before reporting only a mean; a few older participants can pull an age mean upward, so the median may describe the typical participant better. Label SPSS variables and values clearly before running analyses, since Part 2 uses the same file. In the summary, write in sentences rather than repeating the table, and say what the sample's makeup implies for who can be fairly compared with these norms.

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What is PSYC 421 SPSS Assignment Part 1?

A 50-point task from the second module where each student uses SPSS to turn raw data into a table of descriptive statistics, graphs and a written summary of a normative sample's demographic characteristics.

Where can I find a free PSYC 421 Week 2 sample paper?

A complete PSYC 421 Week 2 SPSS report describing a composite normative sample of 250 students, with a statistics table, two figures and a descriptive summary, is on this page.

Which statistics should be used for demographic variables?

Frequencies and percentages for nominal variables such as gender and ethnicity, and the mean, standard deviation, median and range for continuous variables such as age, with the median preferred when data are skewed.

Why does a normative sample need to be described?

Test scores are interpreted by comparing them with a norm group, so users must know who was in that group to judge whether a test taker can fairly be compared with it.

What comes after the PSYC 421 SPSS Assignment Part 1?

SPSS Assignment Part 2 in Module/Week 3, worth 100 points, which uses the same data to assess and interpret the reliability and validity of a test.

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