References

The reading list behind the methods on this site

The references below are the canonical methods papers for APIM work, plus the two applied works whose data structures the simulated datasets emulate. Each entry has a one-line note on when to read it.

How to use this list

The first 8 entries are methods references on APIM and the R packages used throughout this site. The last 2 are the primary textbook and the applied example whose data structure our simulated data emulate. The remaining entries are auxiliary references for specific extensions.

Foundational APIM papers

Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. Guilford Press.

The primary APIM textbook — the conceptual and analytic basis for the site. Read chapters 1–4 for the foundations, then dip into the chapters on specific analytic approaches as you need them.

Cook, W. L., & Kenny, D. A. (2005). The Actor–Partner Interdependence Model: A model of bidirectional effects in developmental studies. International Journal of Behavioral Development, 29(2), 101–108.

The foundational paper that articulated APIM in psychology.

Kenny, D. A., & Ledermann, T. (2010). Detecting, measuring, and testing dyadic patterns in the Actor–Partner Interdependence Model. Journal of Family Psychology, 24(3), 359–366.

Introduces the k-pattern tests (actor-only, couple, contrast) used to interpret APIM effects.

Handbook chapters and practical introductions

Kashy, D. A., Donnellan, M. B., & Ackerman, R. A. (2017). Dyadic analysis. In A. L. Vangelisti & D. Perlman (Eds.), The Cambridge handbook of personal relationships (2nd ed., pp. 101–115). Cambridge University Press.

Modern, accessible handbook chapter covering dyadic data analysis end-to-end.

Ackerman, R. A., Donnellan, M. B., & Kashy, D. A. (2011). Working with dyadic data: An introduction. In L. M. Horowitz & S. N. Strack (Eds.), Handbook of interpersonal psychology: Theory, research, assessment, and therapeutic interventions (pp. 547–558). Wiley.

Concise, practical introduction with worked examples — a good first methods read.

SEM specification for indistinguishable dyads

Olsen, J. A., & Kenny, D. A. (2006). Structural equation modeling with interchangeable dyads. Psychological Methods, 11(2), 127–141.

SEM specification for indistinguishable dyads — underpins the wide-format lavaan syntax in the SEM wide tutorial.

Worked SEM tutorial (k-pattern tests)

Fitzpatrick, J., Gareau, A., Lafontaine, M.-F., & Gaudreau, P. (2016). How to use the Actor–Partner Interdependence Model to estimate different dyadic patterns in Mplus: A step-by-step tutorial. Tutorials in Quantitative Methods for Psychology, 12(1), 74–86.

Worked SEM tutorial on the k-pattern tests; closely parallels the lavaan scripts in the SEM wide tutorial (despite the Mplus label, the model specification is identical).

R implementation

Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.

The R-side SEM engine used throughout this site.

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.

The R-side multilevel modelling engine used throughout this site.

Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26.

lmerTest provides p-values and profile-likelihood confidence intervals for lme4 models.

Extension: intensive longitudinal / diary designs

Bolger, N., & Laurenceau, J.-P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. Guilford Press.

Methods reference for the diary / ESM extension of APIM (days within persons within dyads).

Applied example (the data structure our scripts emulate)

Hahn, V. C., Binnewies, C., & Dormann, C. (2014). The role of partners and children for employees’ daily recovery. Journal of Vocational Behavior, 85(1), 39–48.

The applied example our scripts emulate — reproduced in the Hahn et al. (2014) replication tutorial.

Local materials

File	Purpose
`scripts/01_simulate_data.R`	Data generation for the tutorial dataset
`scripts/02_indistinguishable_mlm.R`	Indistinguishable dyads, MLM
`scripts/03_indistinguishable_sem.R`	Indistinguishable dyads, SEM (wide format, `lavaan`)
`scripts/04_distinguishable_mlm.R`	Distinguishable dyads, MLM with gender moderation
`scripts/05_distinguishable_sem_moderation.R`	Distinguishable dyads, SEM with gender moderation
`scripts/06_distinguishable_sem_wide.R`	Distinguishable dyads, SEM wide format
`scripts/07_two_intercept_models.R`	Two-intercept (actor–partner) models
`scripts/08_moderated_apim.R`	Moderated APIM, replicating Hahn, Binnewies, & Dormann (2014)
`exercises/`	Student exercises

--- title: "References" subtitle: "The reading list behind the methods on this site" --- The references below are the canonical methods papers for APIM work, plus the two applied works whose data structures the simulated datasets emulate. Each entry has a one-line note on *when* to read it. ::: {.callout-tip} ## How to use this list The first 8 entries are *methods* references on APIM and the R packages used throughout this site. The last 2 are the *primary textbook* and the *applied example* whose data structure our simulated data emulate. The remaining entries are auxiliary references for specific extensions. ::: ## Foundational APIM papers ::: {.ref-item} **Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006).** *Dyadic data analysis.* Guilford Press. The primary APIM textbook — the conceptual and analytic basis for the site. Read chapters 1–4 for the foundations, then dip into the chapters on specific analytic approaches as you need them. ::: ::: {.ref-item} **Cook, W. L., & Kenny, D. A. (2005).** The Actor–Partner Interdependence Model: A model of bidirectional effects in developmental studies. *International Journal of Behavioral Development, 29*(2), 101–108. The foundational paper that articulated APIM in psychology. ::: ::: {.ref-item} **Kenny, D. A., & Ledermann, T. (2010).** Detecting, measuring, and testing dyadic patterns in the Actor–Partner Interdependence Model. *Journal of Family Psychology, 24*(3), 359–366. Introduces the [k-pattern tests](../foundations/kpatterns.html) (actor-only, couple, contrast) used to interpret APIM effects. ::: ## Handbook chapters and practical introductions ::: {.ref-item} **Kashy, D. A., Donnellan, M. B., & Ackerman, R. A. (2017).** Dyadic analysis. In A. L. Vangelisti & D. Perlman (Eds.), *The Cambridge handbook of personal relationships* (2nd ed., pp. 101–115). Cambridge University Press. Modern, accessible handbook chapter covering dyadic data analysis end-to-end. ::: ::: {.ref-item} **Ackerman, R. A., Donnellan, M. B., & Kashy, D. A. (2011).** Working with dyadic data: An introduction. In L. M. Horowitz & S. N. Strack (Eds.), *Handbook of interpersonal psychology: Theory, research, assessment, and therapeutic interventions* (pp. 547–558). Wiley. Concise, practical introduction with worked examples — a good first methods read. ::: ## SEM specification for indistinguishable dyads ::: {.ref-item} **Olsen, J. A., & Kenny, D. A. (2006).** Structural equation modeling with interchangeable dyads. *Psychological Methods, 11*(2), 127–141. SEM specification for *indistinguishable* dyads — underpins the wide-format `lavaan` syntax in the [SEM wide tutorial](../tutorials/indistinguishable/sem.html). ::: ## Worked SEM tutorial (k-pattern tests) ::: {.ref-item} **Fitzpatrick, J., Gareau, A., Lafontaine, M.-F., & Gaudreau, P. (2016).** How to use the Actor–Partner Interdependence Model to estimate different dyadic patterns in Mplus: A step-by-step tutorial. *Tutorials in Quantitative Methods for Psychology, 12*(1), 74–86. Worked SEM tutorial on the k-pattern tests; closely parallels the [`lavaan` scripts in the SEM wide tutorial](../tutorials/distinguishable/sem-wide.html) (despite the Mplus label, the model specification is identical). ::: ## R implementation ::: {.ref-item} **Rosseel, Y. (2012).** lavaan: An R package for structural equation modeling. *Journal of Statistical Software, 48*(2), 1–36. The R-side SEM engine used throughout this site. ::: ::: {.ref-item} **Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015).** Fitting linear mixed-effects models using lme4. *Journal of Statistical Software, 67*(1), 1–48. The R-side multilevel modelling engine used throughout this site. ::: ::: {.ref-item} **Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017).** lmerTest package: Tests in linear mixed effects models. *Journal of Statistical Software, 82*(13), 1–26. `lmerTest` provides p-values and profile-likelihood confidence intervals for `lme4` models. ::: ## Extension: intensive longitudinal / diary designs ::: {.ref-item} **Bolger, N., & Laurenceau, J.-P. (2013).** *Intensive longitudinal methods: An introduction to diary and experience sampling research.* Guilford Press. Methods reference for the diary / ESM extension of APIM (days within persons within dyads). ::: ## Applied example (the data structure our scripts emulate) ::: {.ref-item} **Hahn, V. C., Binnewies, C., & Dormann, C. (2014).** The role of partners and children for employees' daily recovery. *Journal of Vocational Behavior, 85*(1), 39–48. The applied example our scripts emulate — reproduced in the [Hahn et al. (2014) replication tutorial](../tutorials/moderated/hahn2014.html). ::: ## Local materials | File | Purpose | |---|---| | [`scripts/01_simulate_data.R`](https://github.com/michaelides/apim/blob/master/scripts/01_simulate_data.R) | Data generation for the tutorial dataset | | [`scripts/02_indistinguishable_mlm.R`](https://github.com/michaelides/apim/blob/master/scripts/02_indistinguishable_mlm.R) | Indistinguishable dyads, MLM | | [`scripts/03_indistinguishable_sem.R`](https://github.com/michaelides/apim/blob/master/scripts/03_indistinguishable_sem.R) | Indistinguishable dyads, SEM (wide format, `lavaan`) | | [`scripts/04_distinguishable_mlm.R`](https://github.com/michaelides/apim/blob/master/scripts/04_distinguishable_mlm.R) | Distinguishable dyads, MLM with gender moderation | | [`scripts/05_distinguishable_sem_moderation.R`](https://github.com/michaelides/apim/blob/master/scripts/05_distinguishable_sem_moderation.R) | Distinguishable dyads, SEM with gender moderation | | [`scripts/06_distinguishable_sem_wide.R`](https://github.com/michaelides/apim/blob/master/scripts/06_distinguishable_sem_wide.R) | Distinguishable dyads, SEM wide format | | [`scripts/07_two_intercept_models.R`](https://github.com/michaelides/apim/blob/master/scripts/07_two_intercept_models.R) | Two-intercept (actor–partner) models | | [`scripts/08_moderated_apim.R`](https://github.com/michaelides/apim/blob/master/scripts/08_moderated_apim.R) | Moderated APIM, replicating Hahn, Binnewies, & Dormann (2014) | | [`exercises/`](https://github.com/michaelides/apim/blob/master/exercises) | Student exercises |