| Course | PSYC 421 Psychological Measurement (PSYC421) |
|---|---|
| Module/Week | 2 |
| Assignment | SPSS Assignment Part 1 |
| Paper type | Statistical report in APA style |
| Length | about 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 |
| Format | APA 7 student paper |
| Points | 50 |
| School | Liberty University Online |
| Program | BS in Psychology |
| Where it sits | Module/Week 2 in Liberty's published PSYC 421 course guide; current sections can differ |
| Updated | October 2026 |
Free sample paper for PSYC 421 Week 2
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.
SPSS Assignment Part 1: Describing the Demographic Characteristics of a Normative Sample With Tables, Graphs and a Summary
Purpose
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.
| Variable | Category or statistic | Value |
|---|---|---|
| Gender, n (%) | Female | 142 (56.8) |
| Male | 104 (41.6) | |
| Prefer not to say | 4 (1.6) | |
| Ethnicity, n (%) | White | 131 (52.4) |
| Black or African American | 46 (18.4) | |
| Hispanic or Latino | 38 (15.2) | |
| Asian | 21 (8.4) | |
| Multiracial or another group | 14 (5.6) | |
| Class standing, n (%) | First year | 68 (27.2) |
| Second year | 61 (24.4) | |
| Third year | 59 (23.6) | |
| Fourth year | 62 (24.8) | |
| Age in years (N = 250) | M (SD) | 24.6 (6.8) |
| Mdn; range | 22; 18 to 58 | |
| Skewness | 1.92 | |
| Weekly work hours (n = 247) | M (SD) | 14.2 (11.5) |
| Mdn; range | 15; 0 to 40 | |
| Skewness | 0.31 |
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
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.
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.
Related PSYC 421 sample papers
Other PSYC 421 weeks
- PSYC 421 Week 1: Forum 1: How Valid Are Psych Tests
- PSYC 421 Week 3: SPSS Part 2: Reliability, Validity
- PSYC 421 Week 4: Item Analysis Worksheet: Five Items
- PSYC 421 Week 5: Forum 2: Flynn Effect and Old Norms
- PSYC 421 Week 6: Test Evaluation: Short Grit Scale
- PSYC 421 Week 7: Tech Presentation: The Barnum Effect
- PSYC 421 Week 8: Intake Report: A Practice Interview
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PSYC 421 Week 2 questions, answered
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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