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Sample study · survey design

Survey Instrument Validation: Reliability of a Student Engagement Scale

Research information
Statement of the problem

This study evaluates whether an eight-item student engagement questionnaire is internally consistent enough to be used in research.

Objectives
  • To assess the reliability of the items participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, and prepares_before_class.
  • To describe the responses to participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, and prepares_before_class.
Dataset
engagement_scale.csv200 rows × 9 cols
ColumnKindMissingDistinct
sexcategorical02
participates_in_classnumeric05
completes_readingsnumeric05
asks_questionsnumeric05
joins_group_worknumeric05
seeks_feedbacknumeric05
attends_consultationsnumeric05
submits_on_timenumeric05
prepares_before_classnumeric05
Feasibility & estimateFree
✓ Feasibledesign: survey · via heuristic

Detected a survey design with 9 analyzable variable(s) and 2 analytical question(s). Recommended 4 statistical test(s). Estimated cost: 41 credits.

Recommended analysis
To assess the reliability of the items participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, and prepares_before_class.
Cronbach's Alpha(participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
McDonald's Omega(participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
To describe the responses to participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, and prepares_before_class.
Frequency & Percentage Distribution(participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
Weighted Mean with Verbal Interpretation(participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
Dataset Complexity14
Statistical Tests12
AI Interpretation6
Visualizations4
Report Generation5
Total to run41 credits
Estimated runtime: ~50-100 seconds
ResultsComputed
4 tests41 credits
Cronbach's Alpha (participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
α0.876N200

Internal consistency is good (alpha = 0.876).

McDonald's Omega (participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
N200
itemloading
participates_in_class0.666
completes_readings0.667
asks_questions0.713
joins_group_work0.647
seeks_feedback0.734
attends_consultations0.647
submits_on_time0.760
prepares_before_class0.653

Internal consistency (McDonald's omega) is good (omega = 0.877).

Frequency & Percentage Distribution (participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
countvaluepercentvariable
55327.500participates_in_class
51425.500participates_in_class
45522.500participates_in_class
34217participates_in_class
1517.500participates_in_class
65332.500completes_readings
48424completes_readings
47223.500completes_readings
28514.000completes_readings
1216completes_readings
54327asks_questions
51425.500asks_questions
42521asks_questions
37218.500asks_questions
1618asks_questions
55227.500joins_group_work
43321.500joins_group_work
42421joins_group_work
34117joins_group_work
26513joins_group_work
67433.500seeks_feedback
56328.000seeks_feedback
30515seeks_feedback
27213.500seeks_feedback
20110seeks_feedback
63431.500attends_consultations
49324.500attends_consultations
39219.500attends_consultations
35517.500attends_consultations
1417.000attends_consultations
54327submits_on_time
51425.500submits_on_time
38219submits_on_time
35117.500submits_on_time
22511submits_on_time
61330.500prepares_before_class
51425.500prepares_before_class
35517.500prepares_before_class
29214.500prepares_before_class
24112prepares_before_class
Weighted Mean with Verbal Interpretation (participates_in_class, completes_readings, asks_questions, joins_group_work, seeks_feedback, attends_consultations, submits_on_time, prepares_before_class)
N200
nsditemrankmedianweighted meaninterpretation
2001.218participates_in_class133.385Neutral
2001.120completes_readings633.165Neutral
2001.224asks_questions233.330Neutral
2001.293joins_group_work832.855Neutral
2001.178seeks_feedback433.300Neutral
2001.178attends_consultations333.330Neutral
2001.260submits_on_time732.935Neutral
2001.241prepares_before_class533.220Neutral

Overall weighted mean = 3.19, interpreted as “Neutral”.

The interpretation bands assume a 1-5 scale. State the instrument's scale if it differs. · Weighted means treat the rating scale as equal-interval, which is the standard convention for summarising Likert items but is a descriptive summary, not a statistical test. The median is reported beside each mean as the measure that does not require that assumption.
Report

Publication-ready report

Tests used · Results · Discussion — generated from the computed statistics.

Every claim checked · 10 numbers verified · prose: llm:gemini
Reproducible code

Download the exact Jupyter notebook or Python script that reproduces these results with widely-used libraries (scipy, statsmodels, lifelines).

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