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Hybrid Work Engagement

Generated May 12, 2026 · 50 responses · 7 Likert items + 1 exploratory item · Evidence Report mode
Source: 50-person engineering and design team after a hybrid policy change

Survey Strength Index

86/ 100

Strength Index

★ Strong

This survey is statistically strong and ready for interpretation, with one item recommended for review. Reliability, sampling adequacy, and response quality all sit in the green; the exploratory morning-preference item is dragging the item-quality domain by a few points and should be reported separately from the engagement scale.

Reliability
21 / 25
Factor
17 / 20
Item quality
17 / 20
Response
14 / 15
Open-ended
8 / 10
Actionability
9 / 10

Score breakdown

Reliability strength21 / 2525%
Factor structure17 / 2020%
Item quality17 / 2020%
Response quality14 / 1515%
Open-ended alignment8 / 1010%
Actionability9 / 1010%
Total Survey Strength Index86 / 100100%

Can I use these results?

Verdict Yes, with cautions
Yes, share these findings internally with a note about sample size before generalizing.
The reliability and factor evidence support reading the engagement score and item-level patterns as real signal in this team. The small sample (n = 50) makes external generalization risky; replicate with n ≥ 100 before publishing externally or testing invariance across teams.
Safe to use for Reporting team-level engagement to leadership; identifying workload and recognition as the two top intervention candidates; comparing means across tenure buckets.
Use caution for Generalizing beyond the 50 respondents; reporting an exact factor structure as the engagement model; making causal claims about the hybrid policy change.
Not recommended for Cross-group invariance testing; longitudinal change without a follow-up wave; high-stakes promotion or compensation decisions.

Data quality check

Response quality Clean
Response set is clean. Use the data as collected.
Three automated checks scanned the 50 respondents for low-effort response patterns. None of the flags crossed our action threshold; the lone short open-ended answer is a single-word response on Q12 ("More.") that we did not exclude.
0 / 50
Straight-lining (same Likert answer on every item)
0 / 50
Duplicate response vectors
1 / 47
Open-ended answers under 3 characters

Plain-English summary

Bottom line: the engagement scale shows strong internal consistency in this team (Cronbach's α = 0.82, McDonald's ω = 0.84, KMO = 0.88), so the overall score and item-level patterns are trustworthy. Average engagement sits in the moderate range, with manager support and meaningful work scoring highest, and workload pressure scoring lowest.

What stands out:

Reliability summary

Reliability Narrator . researcher voice

Internal consistency on the seven engagement items is strong. Cronbach's alpha was 0.82 and McDonald's omega total was 0.84, both above the conventional 0.70 cutoff and comfortably above 0.80, suggesting the items measure a coherent construct rather than a set of loosely related opinions. The close alignment between alpha and omega suggests roughly equal item contributions to the underlying factor, which means alpha is not understating reliability here. Split-half reliability (Spearman-Brown corrected) was 0.82, consistent with the alpha estimate. The KMO sampling adequacy of 0.88 is meritorious; the inter-item correlation matrix is well-suited to factor extraction.

Cronbach's α
0.821
good internal consistency
McDonald's ω total
0.836
1-factor congeneric model
Split-half (Spearman-Brown)
0.824
raw r = 0.701 · halves: 4/4
KMO sampling adequacy
0.881
meritorious
Sample / items
50 · 7
0 responses dropped (incomplete Likert)
Sample size of 50 is small for factor-analytic interpretation. Reliability estimates here are usable; KMO and component structure should be confirmed in a larger sample (n ≥ 100 preferred).

Item-total statistics

#ItemMeanSDCorrected ritα if deletedKMO (item)
Q1I feel motivated by my work.3.400.970.7580.7690.872
Q2I find my work meaningful and worthwhile.3.521.030.6230.7880.884
Q3I feel disconnected from my teammates. (reverse-scored)3.380.970.6010.7920.921
Q4I receive useful feedback from my manager.3.300.890.7710.7710.871
Q5My workload is unmanageable most days. (reverse-scored)3.421.030.8370.7550.857
Q6I have the tools I need to do my job well.3.380.950.7360.7730.945
Q7I am recognized when I do good work.3.221.040.6500.7860.875
Q8I prefer working in the morning over the afternoon.2.781.17-0.0540.840 ▲0.701

▲ indicates α improves if this item is deleted. Q8 is included as an exploratory item; its negative item-total correlation suggests it does not measure the engagement construct and should be reported separately.

Inter-item correlation matrix

Q1Q2Q3Q4Q5Q6Q7
Q11.000.550.420.610.580.550.48
Q20.551.000.360.460.420.420.36
Q30.420.361.000.410.420.390.38
Q40.610.460.411.000.580.540.46
Q50.580.420.420.581.000.620.59
Q60.550.420.390.540.621.000.48
Q70.480.360.380.460.590.481.00

Pearson r between each pair of Likert items after reverse-scoring is applied. All inter-item correlations sit comfortably in the 0.36 to 0.62 range, suggesting items measure related but non-redundant facets of engagement.

Factor structure

Validity Narrator . researcher voice

Principal Axis Factoring with Varimax rotation on the seven engagement items returned a single factor (eigenvalue 3.81, 54.4% of variance explained). Item loadings range from 0.55 to 0.81 with no cross-loadings above 0.30, supporting a unidimensional reading of the scale. The morning-preference item (Q8) was excluded from the factor model because its corrected item-total correlation was below 0.20 in the reliability step; reporting it separately is the conservative call. Bartlett's test of sphericity was significant (chi-square 132.4, df 21, p < .001), so the correlation matrix is not an identity. Sample size of 50 is below the conventional n ≥ 100 minimum for confirmatory factor analysis; treat the structure here as exploratory and replicate before reporting it as a confirmed model.

Factors retained
1
Kaiser criterion: eigenvalue > 1
Variance explained
54.4%
eigenvalue 3.81 of 7
Bartlett's sphericity
p < .001
chi-square 132.4, df 21
Method
PAF · Varimax
7 items, Q8 excluded

Loading matrix

ItemStatementFactor 1 loadingCommunality
Q5Workload is manageable (reverse-scored)0.810.66
Q4I receive useful feedback from my manager0.780.61
Q1I feel motivated by my work0.760.58
Q6I have the tools I need to do my job well0.740.55
Q7I am recognized when I do good work0.660.44
Q2I find my work meaningful and worthwhile0.620.38
Q3I feel connected to my teammates (reverse-scored)0.550.30

Loadings are the Varimax-rotated standardized regression weights of each item on the retained factor. Cells highlighted in green clear the 0.40 salient-loading threshold (Hair et al., 2010). Q8 is excluded from the loading matrix; its loading on this factor would have been 0.07.

Per-item descriptives

Q1 · Likert (5-point)
I feel motivated by my work.
N
50
Mean
3.40
SD
0.97
Skew / Kurt
-0.21 / -0.12
1
2
3
4
5
Q5 · Likert (5-point) · reverse-scored
My workload is unmanageable most days.
N
50
Mean (raw)
2.58
SD
1.03
% agree (4-5)
28%
1
2
3
4
5
Q9 · Single choice
How long have you been in your current role?
OptionN%
Less than 1 year1224%
1 to 3 years1530%
3 to 5 years1122%
More than 5 years1224%
Q12 · Open-ended · AI theme extraction
What would you change to improve your experience?
Workload and staffing · 14 mentions
"Workload is genuinely unsustainable. I work most weekends."
Manager and recognition · 9 mentions
"Recognize the people doing the actual work, not just the people who self-promote."
Meetings and process · 8 mentions
"Reduce the number of meetings, half of them could be emails."
Career and compensation · 6 mentions
"More transparency around compensation and progression."
Hybrid logistics · 5 mentions
"Designated team days so we are actually in the office together."

Draft report paragraph

Draft Report Writer . researcher voice

The Hybrid Work Engagement survey was administered to 50 members of an engineering and design team following a hybrid policy change. Seven Likert items measuring engagement, plus one exploratory item, were retained for analysis. Internal consistency was strong, with Cronbach's alpha of 0.82 and McDonald's omega total of 0.84. Split-half reliability (Spearman-Brown corrected) was 0.82. Item-total correlations ranged from 0.60 to 0.84 on the seven engagement items; the exploratory morning-preference item (Q8) had an item-total correlation of -0.05 and was excluded from the scale.

Exploratory factor analysis using Principal Axis Factoring with Varimax rotation returned a single factor explaining 54.4 percent of the variance (eigenvalue 3.81). Bartlett's test of sphericity was significant (chi-square = 132.4, df = 21, p < .001) and the Kaiser-Meyer-Olkin measure of sampling adequacy was 0.88, both supporting the use of the correlation matrix for factor extraction. All seven retained items showed salient loadings above 0.55 on the single factor with no cross-loadings above 0.30, supporting a unidimensional engagement scale in this sample. The Survey Strength Index for this dataset was 86 out of 100 (Strong), with all six weighted domains scoring in the green except open-ended alignment, which fell to the warn band on volume rather than coherence. Replication with n ≥ 100 is recommended before reporting the factor structure as confirmed or testing measurement invariance across subgroups.

Voice: Researcher. Other voices available on the Strength Index tab: HR / leadership summary and Teacher / department coordinator.

Methodology notes

Cronbach's alpha reported is the standardized form. McDonald's omega total is computed from a one-factor congeneric model using a Principal Axis Factoring extraction; values are reported alongside alpha because omega does not assume tau-equivalence and is more accurate when items contribute unequally to the underlying factor. 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. Bartlett's test of sphericity is reported on the inter-item correlation matrix. Reverse-scored items (Q3 and Q5) were reverse-coded before all calculations. The morning-preference item (Q8) was retained in descriptives but excluded from the reliability scale and factor model because its corrected item-total correlation is below the conventional 0.20 threshold.

The Survey Strength Index is a 0 to 100 composite of six weighted domains (Reliability Strength 25, Factor Structure 20, Item Quality 20, Response Quality 15, Open-Ended Alignment 10, Actionability 10). The "Can I use these results?" verdict and the Data Quality check are produced by ReliCheck's AI advisors from the same numbers shown elsewhere on this page; they do not introduce new statistics.

Open-text themes were generated by ReliCheck's AI theme extraction on Q11 and Q12 responses. Themes are illustrative groupings of respondent language, not formal coding.