Reproducible teaching studies
Samples and prepared projects
Each dataset has a defined research question, realistic scale, deterministic generation receipt, method mapping, and SHA-256 checksum.
320–600 observations
Brand-choice PLS bootstrap studybrand-choice-bootstrap.csv · 1 mapped method420 observations
Research use
- Which structural and measurement-model estimates have stable bootstrap inference?
Mapped tutorials
Dataset checksum
610738af895e09c9cfcf677163e55800e104a3818d67db7f2e64acafec6da878
- Variables
- 19
- Generator seed
- 262519
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
6287405015a3b55b7a69c7214f184645be3b636162c1d4c94447c62e2c35bcf6
Observed-variable business outcomes studybusiness-outcomes-observed.csv · 5 mapped methods500 observations
Research use
- Which business characteristics predict customer churn?
- Does analytics capability influence business performance through organizational agility, conditional on market turbulence?
- Are the indirect and conditional effects in the agility mediation model stable under case resampling?
- How do digital investment, analytics capability, agility, and market turbulence explain business performance?
- How stable are the OLS and logistic coefficient estimates under case resampling?
Mapped tutorials
Binary logistic regression, PROCESS/path analysis, PROCESS bootstrapping, OLS regression, Regression bootstrapping
Dataset checksum
96c53bf731e47d1db13416ed064e5aece6aa5336cc652bfdb6a623570c927c69
- Variables
- 9
- Generator seed
- 262513
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Competing customer-loyalty models studycompeting-loyalty-models.csv · 0 mapped methods450 observations
Research use
Mapped tutorials
Dataset checksum
73f4742892716193d4e73de8d3f3aa63f7688e46a7295dbd4b259c30947f63f0
- Variables
- 16
- Generator seed
- 262518
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Corporate reputation mixed-measurement PLS-SEM studycorporate-reputation.csv · 1 mapped method344 observations
Research use
- Does attractiveness have a curved relationship with competence after accounting for the wider corporate-reputation model?
Mapped tutorials
Dataset checksum
10b9261d3f4435c7db8bdb088f0b11fa3047333b8950cf751722e902b2c67737
- Variables
- 31
- Generator seed
- Packaged source data
- Source
- assets/samples/corporate-reputation.csv
- Data dictionary
- Open documented roles
2dba20a5e18fdff7e3c57e5b05589a53fa2b25610a8c61f6fa24cb6695184a6e
Customer experience and loyalty PLS-SEM studycustomer-experience-pls.csv · 10 mapped methods400 observations
Research use
- How do perceived quality, value, and trust shape satisfaction and customer loyalty?
- What power is expected for a Quality → Loyalty path of 0.30 at planned sample sizes of 80 and 120?
- How do the customer-experience relationships look after consistent-PLS correction of reflective constructs?
- Are the consistently corrected reflective-model estimates stable under resampling?
- Does the model show predictive relevance for Trust, Satisfaction, and Loyalty?
- How closely does the composite model reproduce the observed indicator correlations?
- Are the five customer-experience constructs empirically distinct?
- What is the legacy descriptive global GoF summary for this reflective PLS model?
- What descriptive model-fit diagnostics accompany the customer-experience PLS estimate?
- Which antecedents of Loyalty combine high importance with comparatively low performance?
Mapped tutorials
PLS-SEM Algorithm, PLS power analysis, Consistent PLS, PLSc Consistent Bootstrapping, Blindfolding, Confirmatory Composite Analysis, HTMT / HTMT+, Global GoF, PLS Model Fit, IPMA
Dataset checksum
60b43e4a2d5ff5a1063daca04beb1236123de17809a6a818d3c6766258dbabc3
- Variables
- 21
- Generator seed
- 262501
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
61cdfbdfea4c4fc7db7f50f191f46212565d03a9e29d461e2968d4ebb7e8f4c5
b7dbb9e53de1a1b5e0952eaeb915d8fe6c46fee328f9cc1fde94304bc6057a10
006bffb854caac5c8000895e1406dddc7a7214722dd2725edb54fe18228c2d04
dae9eb7faa72b5cf68680a51da20b556b42f64c21a5acfd13c57a3087d09e800
0a0533ba6f6f19819d1d2c89a23b02d9a7fb096a2238253897fb65d099eac1cd
Nonlinear digital adoption studydigital-adoption-nonlinear.csv · 0 mapped methods450 observations
Research use
Mapped tutorials
Dataset checksum
fe0520a68b733f2798877e932a539e4351406e07ca6024a343593c9db5ad7fa6
- Variables
- 16
- Generator seed
- 262508
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Digital training transfer mediation studydigital-training-mediation.csv · 1 mapped method420 observations
Research use
- How much of training quality's association with job performance operates through self-efficacy and training transfer?
Mapped tutorials
Dataset checksum
9d4b066e776c4a2f680d0e3bb4a52bf0ef3345a3c685c3716e667d5689040f5c
- Variables
- 18
- Generator seed
- 262506
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
f7739c9b294bc79a6fad73d9ce038c79caf6ffc66a941e7527eb58aaace3abfd
Digital capability necessity studyinnovation-necessity.csv · 1 mapped method360 observations
Research use
- Is digital capability necessary, though not necessarily sufficient, for high innovation performance?
Mapped tutorials
Dataset checksum
2a50c471385313de5fb1f8f34ed17a81f15e51b9996834f51156bdca88c333d5
- Variables
- 5
- Generator seed
- 262515
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Innovation capability formative measurement studyinnovation-tetrad.csv · 1 mapped method320 observations
Research use
- Does the four-item Innovation Capability block show the tetrad pattern expected for its measurement specification?
Mapped tutorials
Dataset checksum
41d393dc51a64d9fc011290660c453733cc9e15378ce6fc953ceef5fc9f12d02
- Variables
- 12
- Generator seed
- 262504
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
ec24c7f9ea52a1f939a779d0c82af20c858793f385bfc9cc0ca94376b651009b
Leadership program multigroup studyleadership-multigroup.csv · 3 mapped methods480 observations
Research use
- Do consistently corrected path estimates differ between on-site and hybrid employees?
- Is the organizational-identification measurement model invariant across the two recorded gender groups?
- Do consistently corrected leadership effects differ between the two work modes?
Mapped tutorials
PLSc Consistent Permutation, MICOM, PLSc-MGA
Dataset checksum
a8e83d58267d13a0be688841237793b69974cf1c1d1b1e0de09d4fffae9b638b
- Variables
- 17
- Generator seed
- 262503
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
d1d919da07c9adfcdcb3478dc7b7e7cb7eb1e4afba986673661357f44dba5ee2
Customer loyalty prediction studyloyalty-prediction.csv · 2 mapped methods420 observations
Research use
- Does the loyalty model predict better than its comparison benchmark across held-out folds?
- How accurately does the model predict Loyalty indicators in held-out data?
Mapped tutorials
Dataset checksum
bd2897e586680dae8b77583f2eab6ba676844d6c5d25eaa6038d775d3ab83599
- Variables
- 18
- Generator seed
- 262505
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
9b908d2f9d0de008e552ff07287073f3aa248be9d563662743ab38bd4258d588
organizational identification model comparisonorganizational-identification-model-comparison.csv · 7 mapped methods305 observations
Research use
- Is the Leadership → Commitment path stronger than expected under structural-path randomization?
- Does adding a direct Organizational Prestige → Affective Commitment (Joy) path improve prediction over the established mediated model?
- Which of three organizational-identification models should be retained when equation-level predictive evidence is the primary criterion?
- Does the Organizational Identification → Affective Commitment (Joy) relationship differ between the two recorded gender groups?
- Can prediction-oriented segmentation identify a stable two-segment structure in the organizational-identification model?
- Does Organizational Prestige change how Organizational Identification relates to Affective Commitment (Joy) and Affective Commitment (Love)?
- Can the joy and love dimensions form a reflective-reflective Affective Commitment construct, and how do organizational prestige and identification predict it?
Mapped tutorials
Permutation / Structural Path Randomization, PLS Model Comparison, Prediction-Oriented Model Selection, PLS-MGA, PLS-POS, Moderation, Higher-order models
Dataset checksum
3e4b9864e6ed561e0434fe47178a380dabbf5906129ac04356e28058d959ccd7
- Variables
- 0
- Generator seed
- Packaged source data
- Source
- documented teaching source
- Data dictionary
- Open documented roles
9e823e0e709fdd3b866ad340325a6f4317d342274d70252ae00576301c10fb87
036f9e74d53ac0679865f64418db890c61dc1c3e6813f5b2025a664da6b6781a
e6b1a2c146675034106e136438fe21392ae6e80a3b7cfb8c96b0af1b2d569d62
a87f73b26a39e58bb823f66b7d741d6b4ec976ec3e9f9e0407bf48d3834d0163
db99079a51ed4faeb95cd740856833b2bd2d50aa2bef60250c5f13276c3aa874
Academic engagement scale-development studyscale-development-pca.csv · 1 mapped method360 observations
Research use
- How many empirical components summarize the twelve academic-engagement items?
Mapped tutorials
Dataset checksum
dd10c3f312491be087e124de053945366c094ac84ac702bf7550d6d12ed5ee28
- Variables
- 13
- Generator seed
- 262514
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Higher-order service quality studyservice-quality-higher-order.csv · 0 mapped methods480 observations
Research use
Mapped tutorials
Dataset checksum
ecc8d82bc9295f4b9e73e8cc0514abf607a43ba283f1a6d36eeb91c887ac2b30
- Variables
- 20
- Generator seed
- 262509
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Service recovery recursive CB-SEM studyservice-recovery-cbsem.csv · 2 mapped methods500 observations
Research use
- Does the recursive common-factor service-recovery model reproduce the covariance structure adequately?
- How stable are the recursive CB-SEM parameters under exact case bootstrapping?
Mapped tutorials
Dataset checksum
f5604eba318346666dc54b3c729957f8d3b56c62cc8da8db29cd2ccca8f5af79
- Variables
- 17
- Generator seed
- 262517
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Student wellbeing confirmatory factor studystudent-wellbeing-cfa.csv · 2 mapped methods500 observations
Research use
- Does the proposed four-factor student-wellbeing measurement model fit the observed covariance structure?
- What exploratory component pattern appears before fitting the confirmatory wellbeing model?
Mapped tutorials
CFA, PCA for CB-SEM preparation
Dataset checksum
12ceeca2ad9eae467e4ea100b30de2c8692529053dd44912105413285f20fc8c
- Variables
- 17
- Generator seed
- 262516
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
Subscription customer heterogeneity studysubscription-segmentation.csv · 1 mapped method600 observations
Research use
- Does finite-mixture PLS reveal latent customer classes with distinct renewal behavior?
Mapped tutorials
Dataset checksum
b5130c92f182c76406e1ded77b04edbc622fb0fcfd0b0ae1c17597c429c86647
- Variables
- 17
- Generator seed
- 262511
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
2434c8d35269733856bcfe54f58c67aba9602115b02d729dca7c0137868c60ba
Supply-chain resilience component modelsupply-chain-component-model.csv · 1 mapped method360 observations
Research use
- How do supply-chain capabilities combine into resilience and performance in a component model?
Mapped tutorials
Dataset checksum
e4d8361d6f074b11f3d5794e7be05b00e533065e08e48e3b67b19b24795fcb16
- Variables
- 17
- Generator seed
- 262512
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
fcf3b323f89aee427d90e7ae639edc5a2b21b66256283b252e2cb73edadf38c0
Trust and renewal endogeneity diagnostic studytrust-endogeneity.csv · 1 mapped method420 observations
Research use
- Is the Trust → Renewal effect sensitive to potential endogeneity detected with a Gaussian copula?
Mapped tutorials
Dataset checksum
4d0838d9ce94ffc45813d269af9c759e011ec56d0560bdcef549aa2de3d1c3cd
- Variables
- 16
- Generator seed
- 262510
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
b6fca5172a7c86d73036d5290d4d1b98fb671b64bd52341b073863e65c143ff0
Weighted customer-retention surveyweighted-customer-retention.csv · 1 mapped method360 observations
Research use
- Do service, fairness, and satisfaction predict retention after applying case weights?
Mapped tutorials
Dataset checksum
290bbf1189ad42dc98d42a30a55f2af4b4784acb79699d45a6638d0cf3c0cb20
- Variables
- 16
- Generator seed
- 262502
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles
816ce38c70f7da63597ab0492e4d18844a23a15b0df2a0cefbc49876b2bdbf1b
Work design moderation and conditional-process studywork-design-moderation.csv · 0 mapped methods450 observations
Research use
Mapped tutorials
Dataset checksum
12ffc1261757befbdf2f13de03228a5922797e7df1ada1018dcc88f820e75c66
- Variables
- 19
- Generator seed
- 262507
- Source
- deterministic synthetic tutorial generator
- Data dictionary
- Open documented roles