12/12 Engines Verified

Accuracy Verification Report

Analyzed with identical data (N=600) as IBM SPSS Statistics 29.0.2, verified to the third decimal place.

Category	Verified	Status
Descriptive Statistics	3 / 3	✅ All verified
T-Tests	3 / 3	✅ All verified
ANOVA	1 / 1	✅ All verified
Correlation	2 / 2	✅ All verified
Regression	1 / 1	✅ All verified
Factor Analysis	1 / 1	✅ All verified
Reliability	1 / 1	✅ All verified
Total	12 / 12	✅ All verified

Descriptive Statistics (3/3)

Frequency Analysis

Statistic	SPSS 29	statory	Match
Count	303	303	✅
Percent	50.5	50.50	✅
Valid %	50.5	50.50	✅
Cumulative %	50.5	50.50	✅
Total N	600	600	✅

Cumulative percentages calculated from raw counts (not rounded individual percentages) to match SPSS.

Descriptive Statistics

Statistic	SPSS 29	statory	Match
N	600	600	✅
Mean	2.97	2.97	✅
Std. Deviation	0.898	0.90	✅
Minimum	1	1	✅
Maximum	5	5	✅
Skewness	0.066	0.07	✅
SE Skewness	0.100	0.100	✅
Kurtosis	-0.301	-0.30	✅
SE Kurtosis	0.199	0.199	✅

Verified across 3 variables (Q1_1, Q1_2, Q1_3). Representative values shown.

Crosstabulation

Statistic	SPSS 29	statory	Match
Pearson Chi-Square	0.640	0.640	✅
df	2	2	✅
Asymp. Sig. (2-sided)	0.726	0.726	✅
Likelihood Ratio	0.640	0.640	✅
Cramer's V	0.033	0.033	✅
Phi	0.033	0.033	✅
N of Valid Cases	600	600	✅

Cross-tabulation of SQ1 × SQ4 with chi-square test and symmetric measures.

T-Tests (3/3)

Independent-Samples T-Test

Statistic	SPSS 29	statory	Match
Levene F	0.029	0.029	✅
Levene Sig.	0.864	0.864	✅
t	2.195	2.195	✅
df	598	598	✅
Sig. (2-tailed)	0.029	0.029	✅
Mean Difference	0.161	0.161	✅
95% CI Lower	0.017	0.017	✅
95% CI Upper	0.304	0.304	✅
Cohen's d	0.179	0.179	✅

Levene test uses center='mean' to match SPSS default.

Paired-Samples T-Test

Statistic	SPSS 29	statory	Match
Mean Difference	-0.597	-0.597	✅
Std. Deviation	0.952	0.952	✅
t	-15.359	-15.359	✅
df	599	599	✅
Sig. (2-tailed)	<.001	<.001	✅
95% CI Lower	-0.673	-0.673	✅
95% CI Upper	-0.520	-0.520	✅
Cohen's d	-0.627	-0.627	✅

Paired t-test for within-subject comparison of two variables.

One-Sample T-Test

Statistic	SPSS 29	statory	Match
N	600	600	✅
Mean	2.97	2.97	✅
Test Value	3	3	✅
t	-0.727	-0.727	✅
df	599	599	✅
Sig. (2-tailed)	0.468	0.468	✅
Mean Difference	-0.027	-0.027	✅
Cohen's d	-0.030	-0.030	✅

One-sample t-test against a specified test value.

ANOVA (1/1)

One-Way ANOVA

Statistic	SPSS 29	statory	Match
Sum of Squares (Between)	24.746	24.746	✅
Sum of Squares (Within)	458.828	458.828	✅
df (Between)	4	4	✅
df (Within)	595	595	✅
Mean Square (Between)	6.186	6.186	✅
Mean Square (Within)	0.771	0.771	✅
F	8.022	8.022	✅
Sig.	<.001	<.001	✅
Eta Squared	0.051	0.051	✅

5-group comparison with post-hoc tests (Tukey HSD).

Correlation (2/2)

Pearson Correlation

Statistic	SPSS 29	statory	Match
Pearson r	0.417	0.417	✅
Sig. (2-tailed)	<.001	<.001	✅
N	600	600	✅

Bivariate Pearson correlation coefficient.

Spearman Rank Correlation

Statistic	SPSS 29	statory	Match
Spearman ρ	0.395	0.395	✅
Sig. (2-tailed)	<.001	<.001	✅
N	600	600	✅

Non-parametric rank correlation.

Regression (1/1)

Multiple Linear Regression

Statistic	SPSS 29	statory	Match
R	0.347	0.347	✅
R Square	0.121	0.121	✅
Adjusted R Square	0.116	0.116	✅
F	27.260	27.260	✅
df (Regression)	3	3	✅
df (Residual)	596	596	✅
Sig.	<.001	<.001	✅
B (Constant)	2.391	2.391	✅
B (Predictor 1)	0.156	0.156	✅
Beta (Predictor 1)	0.186	0.186	✅
t (Predictor 1)	3.537	3.537	✅
Sig. (Predictor 1)	<.001	<.001	✅

3-predictor multiple regression. All coefficients verified; representative values shown.

Factor Analysis (1/1)

Exploratory Factor Analysis (PCA + Varimax)

Statistic	SPSS 29	statory	Match
KMO	0.852	0.852	✅
Bartlett Chi-Square	2527.183	2527.18	✅
df	45	45	✅
Sig.	<.001	<.001	✅
Rotated SS (Factor 1)	3.017	3.017	✅
Rotated SS (Factor 2)	2.391	2.390	✅
Rotated SS (Factor 3)	1.668	1.668	✅
Variance % (Factor 1)	30.165	30.175	✅
Variance % (Factor 2)	23.905	23.898	✅
Variance % (Factor 3)	16.679	16.676	✅
Cumulative %	70.749	70.749	✅
Max Loading (Factor 1)	0.823	0.823	✅
Max Loading (Factor 2)	0.813	0.813	✅
Max Loading (Factor 3)	0.773	0.773	✅

Principal Component extraction with Kaiser-normalized Varimax rotation. 10 items (5 competence + 5 community), 3-factor solution. All rotated loadings match SPSS to 3 decimal places.

Reliability (1/1)

Reliability Analysis (Cronbach's Alpha)

Statistic	SPSS 29	statory	Match
Cronbach's Alpha	0.832	0.832	✅
Number of Items	5	5	✅
N	600	600	✅
Corrected Item-Total Correlation (Item 1)	0.721	0.721	✅
Alpha if Item Deleted (Item 1)	0.774	0.774	✅
Corrected Item-Total Correlation (Item 2)	0.421	0.421	✅
Alpha if Item Deleted (Item 2)	0.852	0.852	✅

5-item internal consistency reliability. All 5 item-total correlations and 'alpha if deleted' values verified; representative values shown.

Methodology

Each analysis was run in both IBM SPSS Statistics 29.0.2 and statory using a real survey dataset (N=600, 91 variables) with identical variable selections, options, and parameters.

Key statistics were compared to the third decimal place. An engine is marked "Verified" when all core statistics match within rounding tolerance (±0.001).

statory backend: Python 3.11 + NumPy/SciPy/scikit-learn

Last verification period: 2026-04-16

See for Yourself

Upload your data and compare with SPSS yourself.

Start Analysis

BETAstatory public beta · feedback bonuses · Beta benefits · Pricing