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Undergraduate Course Evaluation: PSYC 210, Fall 2025

Generated December 18, 2025 · 124 responses across two sections (out of 138 enrolled · 90% response rate) · 8 Likert items · Evidence Report mode
Source: introductory psychology course, instructor self-evaluation prior to annual review

Plain-English summary

Bottom line: the evaluation scale shows excellent internal consistency (α = 0.91, KMO = 0.92), so the composite score and item rankings can be reported with confidence. Average ratings are positive across the board, with the strongest scores on lecture clarity and learning, and the weakest on assessment fairness.

What stands out:

Reliability summary

Cronbach's α
0.910
excellent internal consistency
Split-half (Spearman-Brown)
0.892
raw r = 0.805 · halves: 4/4
KMO sampling adequacy
0.918
marvelous
Sample / items
124 · 8
3 responses dropped (incomplete Likert)

Item-total statistics

#ItemMeanSDCorrected ritα if deletedKMO (item)
Q1The instructor explained concepts clearly.4.420.710.7880.8950.927
Q2Course materials supported my learning.4.210.790.7620.8970.911
Q3Assignments helped me understand the material.4.050.840.7450.8990.918
Q4Feedback on my work was timely and useful.4.150.860.7030.9020.905
Q5Assessments fairly reflected what was taught.3.780.950.6740.9060.882
Q6Office hours and instructor availability were sufficient.4.320.780.5140.9180.879
Q7I learned a lot in this course.4.380.740.7930.8950.929
Q8I would recommend this course to other students.4.300.810.8120.8930.935

Every item shows a strong corrected item-total correlation (≥ 0.51), and α-if-deleted values stay below the overall α of 0.91 for all items. The instrument is well-constructed for this course context.

Section comparison

ItemSection A (n=62)Section B (n=62)Difference
Q1 · Clear explanations4.274.56+0.29
Q2 · Course materials4.054.37+0.32
Q3 · Assignments3.894.21+0.32
Q4 · Feedback3.954.34+0.39
Q5 · Fair assessment3.613.95+0.34
Q6 · Office hours4.404.24-0.16
Q7 · Learned a lot4.214.55+0.34
Q8 · Would recommend4.134.47+0.34
Composite mean4.064.34+0.28

Inter-item correlation matrix

Q1Q2Q3Q4Q5Q6Q7Q8
Q11.000.620.580.550.480.420.660.63
Q20.621.000.620.580.480.390.610.58
Q30.580.621.000.610.550.390.580.58
Q40.550.580.611.000.580.420.540.55
Q50.480.480.550.581.000.360.480.48
Q60.420.390.390.420.361.000.420.46
Q70.660.610.580.540.480.421.000.71
Q80.630.580.580.550.480.460.711.00

Per-item descriptives

Q1 · Likert (5-point)
The instructor explained concepts clearly.
N
124
Mean
4.42
SD
0.71
% top-2
87%
1
2
3
4
5
Q5 · Likert (5-point)
Assessments fairly reflected what was taught.
N
124
Mean
3.78
SD
0.95
% top-2
62%
1
2
3
4
5
Q9 · Open-ended · AI theme extraction
What is one thing about this course you would change?
Exam difficulty and curve · 31 mentions
"The exams felt much harder than the homework. I would have liked more practice problems at the exam difficulty level."
More worked examples in lecture · 22 mentions
"More step-by-step examples instead of jumping to the abstract case."
Pace of material · 14 mentions
"The middle of the semester moves really fast, especially the section on multiple regression."
Reading workload · 9 mentions
"The reading load is heavier than other 200-level courses I have taken."
Positive (no change suggested) · 28 mentions
"Honestly, nothing. This was one of the best classes I have taken."

Methodology notes

Cronbach's α reported is the standardized form. Split-half reliability uses the Spearman-Brown corrected first-half / second-half split. KMO (Kaiser-Meyer-Olkin) is computed from the anti-image correlation matrix. All 8 items are positively worded; no reverse-scoring was applied. Three responses were dropped from reliability calculations because they were missing one or more Likert items; descriptives are reported on n that responded to each item.

Section comparison uses the unweighted item-level mean. The composite mean is the average across all 8 items per respondent, then averaged within section. No formal significance test is reported; differences this size on n=62 per cell warrant cautious interpretation.