AckermanP. L., & HeggestadE. D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 219–245.
2.
AllportG. W. (1937). Personality: A psychological interpretation. New York: Holt.
3.
AlmlundM., DuckworthA., HeckmanJ., & KautzT. (2011). Personality psychology and economics. In: HanushekE. A., MachinS., & WoessmannL. (Eds), Handbook of the economics of education. Amsterdam: Elsevier.
4.
AntonakisJ., BendahanS., JacquartP., & LaliveR. (2010). On making causal claims: A review and recommendations. The Leadership Quarterly, 21(6), 1086–1120. DOI: 10.1016/j.leaqua.2010.10.010
5.
BaronR., & KennyD. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
6.
BinghamR. D., HeywoodJ. S., & WhiteS. B. (1991). Evaluating schools and teachers based on student performance: Testing an alternative methodology. Evaluation Review, 15, 191–218.
7.
BlowsM. W. (2007). A tale of two matrices: Multivariate approaches in evolutionary biology (with discussion). Journal of Evolutionary Biology, 20, 1–44.
8.
BodmerW. (2003). R. A. Fisher, statistician and geneticist extraordinary: a personal view. International Journal of Epidemiology, 32, 938–942.
9.
BollenK. A., & PearlJ. (in press). Eight myths about causality and structural equation models. In MorganS. (Ed.), Handbook of Causal Analysis for Social Research. New York: Springer.
10.
BoxJ. F. (2010). Commentary: On R. A. Fisher's Bateson lecture on statistical methods in genetics. International Journal of Epidemiology, 39, 335–339
11.
CampbellD., & StanleyJ. (1963). Experimental and quasi–experimental designs for research. Chicago: Wadsworth Publishing.
12.
CarmelliD., & PageW. F. (1996). Twenty–four year mortality in World War II US male veteran twins discordant for cigarette smoking. International Journal of Epidemiology, 25, 554–559.
13.
CohenD., SpearS., ScribnerR., KissingerP., MasonK., & WildgenJ. (2000). ‘Broken windows’ and the risk of gonorrhea. American Journal of Public Health, 90, 230–236.
14.
CostaP. T., & McCraeR. R. (1992). Revised NEO Personality Inventory (NEO–PI–R) and NEO Five–Factor Inventory (NEO–FFI) Professional Manual. Odessa, FL: Psychological Assessment Resources.
15.
CronbachL. J. (1957). The two disciplines of scientific psychology. American Psychologist, 12(11), 671–684.
16.
CronbachL. J., & MeehlP. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.
17.
DahlhausR., & EichlerM. (2003). Causality and graphical models for time series. In: GreenP., HjortN., & RichardsonS. (Eds), Highly structured stochastic systems (pp. 115–137). Oxford: University Press.
18.
Davey SmithG. (2006). Capitalising on Mendelian randomization to assess the effects of treatments. James Lind Library Bulletin: Commentaries on the history of treatment evaluation. (www.jameslindlibrary.org).
19.
Davey SmithG. (2010). Mendelian randomization for strengthening causal inference in observational studies: Application to gene by environment interaction. Perspectives on Psychological Science, 5, 527–545.
20.
Davey SmithG. (2011a). Epidemiology, epigenetics and the ‘gloomy prospect’: Embracing randomness in population health research and practice. International Journal of Epidemiology, 40, 537–562.
21.
Davey SmithG. (2011b). Random allocation in observational data: How small but robust effects could facilitate hypothesis–free causal inference. Epidemiology, 22, 460–463.
22.
Davey SmithG., & EbrahimS. (2002). Data dredging, bias, or confounding (editorial). British Medical Journal, 325, 1437–1438.
23.
Davey SmithG., & EbrahimS. (2003). ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?International Journal of Epidemiology, 32, 1–22.
24.
Davey SmithG., LawlorD. A., HarbordR., TimpsonN. J., DayI., & EbrahimS. (2008). Clustered environments and randomized genes: A fundamental distinction between conventional and genetic epidemiology. PLoS Medicine, 4, 1985–1992.
25.
DawidA. P. (2008). Beware of the DAG. Journal of Machine Learning Research: Workshop and Conference Proceedings, 6, 59–86.
26.
DawkinsR. (1976). The selfish gene. New York: Oxford University Press.
27.
DeYoungC. G., QuiltyL. C., & PetersonJ. B. (2007). Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 93(5), 880–896.
28.
DraganskiB., GaserC., BuschV., SchuiererG., BogdahnU., & MayA. (2004). Neuroplasticity: Changes in gray matter induced by training. Nature, 427, 311–312.
29.
EichlerM. (2007). Granger–causality and path diagrams for multivariate time series. Journal of Econometrics, 137, 334–353.
30.
EllisJ. L., & JunkerB. W. (1997). Tail–measurability in monotone latent variable models. Psychometrika, 62: 495–523.
31.
FigueredoA. J., HetheringtonJ., & SechrestL. (1992). Water under the bridge: A response to Bingham, Heywood, and White. Evaluation Review, 16, 40–62.
32.
FisherR. A. (1918). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh, 52, 399–433.
33.
FisherR. A. (1941). Average excess and average effect of a gene substitution. Annals of Eugenics, 11, 53–63.
34.
FisherR. A. (1952). Statistical methods in genetics. Heredity, 6, 1–12. Reprinted in International Journal of Epidemiology, 39, 329–335.
35.
FisherR. A. (1999). The genetical theory of natural selection: A completevariorum edn. Oxford, UK: Oxford University Press.
36.
FosterE. M. (2010). Causal influence and developmental psychology. Developmental Psychology, 46, 1454–1480.
37.
FreathyR., KazeemG., MorrisR., JohnsonP., PaternosterL., EbrahimS., … MunafòM. (2011). Genetic variation at CHRNA5–CHRNA3–CHRNB4 interacts with smoking status to influence BMI. International Journal of Epidemiology, 40, 1617–1628.
38.
GelmanA., & HillJ. (2007). Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press.
39.
GenslerH. J. (2002). Introduction to logic. London: Routledge.
40.
GoddardM. E. (2009). Genomic selection: Prediction of accuracy and maximisation of long–term response. Genetica, 136, 245–257.
41.
GödelK. (1962). On formally undecidable propositions of principia mathematica and related systems (First English edn). Edinburgh, UK: Oliver and Boyd.
42.
GoldbergerA. S. (1973). Structural equation models: An overview. In GoldbergerA. S., & DuncanO. D. (Eds), Structural equation models in the social sciences, (pp. 1–18). New York, NY: Seminar Press.
43.
GreenR. E., KrauseJ., BriggsA. W., MaricicT., StenzelU., KircherM., … PääboS. (2010). A draft sequence of the Neandertal genome. Science, 5979, 710–722.
44.
HamakerE. L., NesselroadeJ. R., & MolenaarP. C. M. (2007). The integrated trait–state model. Journal of Research in Personality, 41, 295–315.
45.
HardinG. (1963). The cybernetics of competition: A biologist's view of society. Perspectives in Biology and Medicine, 7, 58–84.
46.
HeckmanJ. J. (2005). The scientific model of causality. Sociological Methodology, (35), 1–98.
47.
HindorffL. A., MacArthurJ., WiseA., JunkinsH. A., HallP. N., KlemmA. K., & ManolioTA. (2012). A catalog of published genome–wide association studies. Available at: www.genome.gov/gwastudies, retrieved 10 April 2012.
48.
HollandP. (1986). Statistics and causal inference. Journal of the American Statistical Association81, 945–970.
49.
JacksonJ. J., ThoemmesF., JonkmannK., LüdtkeO., & TrautwienU. (2012). Military training and personality trait development: Does the military make the man or does the man make the military?Psychological Science, 23, 270–277.
50.
JohnsonW. (2007). Genetic and environmental influences on behavior: Capturing all the interplay. Psychological Review, 114(2), 423–440.
51.
JohnsonW., PenkeL., & SpinathF. M. (2011). Heritability in the era of molecular genetics: Some thoughts for understanding genetic influences on behavior. European Journal of Personality Special Issue Target Article, 25, 255–266.
52.
KaprioJ., & KoskenvuoM. (1989). Twins, smoking and mortality: A 12–year prospective study of smoking–discordant twin pairs. Social Science and Medicine, 29, 1083–1089.
53.
KellerF., GraefenA., BallM., MatzasM., BoisguerinV., MainxerF., … ZinkA. (2012). New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole–genome sequencing. Nature Communications, 3, 698.
54.
KendlerK. S., GardnerC. O. (2010). Dependent stressful life events and prior depressive episodes in the prediction of major depression. Archives of General Psychiatry67, 1120–1127.
55.
KennedyP. (1985). A guide to econometrics (2nd edn). Oxford: Basil Blackwell.
56.
KerlingerF. N. (1964). Foundations of behavioral research. New York, NY: Holt, Rinehart and Winston, Inc.
57.
KlenkeA. (2008). Probability theory—A comprehensive course. London: Springer.
58.
LauritzenS. L. (1996). Graphical models. Oxford: Oxford University Press.
59.
LeeS. H., DeCandiaT. R., RipkeS., YangJ., Schizophrenia Psychiatric Genome–Wide Association Study Consortium, International Schizophrenia Consortium, … WrayN. (2012). Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genetics, 44, 247–250.
60.
LewisG. J., & BatesT. C. (2011). From left to right: How the personality system allows basic traits to influence politics via characteristic moral adaptations. British Journal of Psychology, 102, 546–558.
61.
LiptonP. (2004). Inference to the best explanation, 2nd edn. Abingdon, UK: Routledge, 2004.
62.
MacKinnonD. (2008). An introduction to statistical mediation analysis. New York: Lawrence Erlbaum Associates.
63.
MarkusK. A., & BorsboomD. (2011). Reflective measurement models, behavior domains, and common causes. New Ideas in Psychology. DOI: 10.1016/j.newideapsych.2011.02.008.
64.
MayerA., ThömmesF., RoseN.SteyerR., & WestS. G. (2012). Theory and analysis of total, direct and indirect causal effects. Manuscript submitted.
65.
McCraeR. R. (1996). Integrating the levels of personality. Psychological Inquiry, 7, 353–356.
66.
McDonaldR. P. (2003). Behavior domains in theory and in practice. Alberta Journal of Educational Research, 49, 212–230.
67.
MeehlP. E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806–834.
68.
MeehlP. E. (1992). A funny thing happened to us on the way to the latent entities. In MegargeeE. I., & SpielbergerC. D. (Eds.), Personality assessment in America: A retrospective on the occasion of the fiftieth anniversary of the Society for Personality Assessment (pp. 113–125). Hillsdale, NJ: Lawrence Erlbaum Associates.
69.
MessickS. (1989). Validity. In LinnR. L. (Ed.), Educational measurement (pp. 13–103). New York: Macmillan.
70.
MolenaarP. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement: Interdisciplinary Research and Perspectives, 2, 201–218.
71.
MolenaarP.C.M., & CampbellC.G. (2009). The new person–specific paradigm in psychology. Current Directions in Psychology, 18, 112–117.
72.
Motti–StefanidiF., AsendorpfJ. B., & MastenA. S. (2012). The adaptation and well–being of adolescent immigrants in Greek schools: A multilevel, longitudinal study of risks and resources. Development and Psychopathology, 24, 451–473.
73.
MunafoM. R., TimofeevaM. N., MorrisR. W., Prieto–MerinoD., SattarN., BrennanP., … Davey SmithG. (2012). Association between genetic variants on chromosome 15q25 locus and objective measures of tobacco exposure. Journal of the National Cancer Institute. DOI: 10.1093/jnci/djs191.
74.
MusunuruK., StrongA., Frank–KamenetskyM., LeeN. E., AhfeldtT., SachsK. V., … RaderD. J. (2010). From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus. Nature, 466, 714–719.
75.
PearlJ. (2000). Causality: Models, reasoning, and inference. Cambridge, England: Cambridge University Press.
76.
PearlJ. (2001). Direct and indirect effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (pp. 411–420). San Francisco, CA: Morgan Kaufmann, San Francisco.
77.
PearlJ. (2009). Causality: Models, reasoning, and inference. 2nd edn. New York: Cambridge University Press.
78.
PearlJ. (2010). The foundations of causal inference. Sociological Methodology, 40, 75–149.
79.
PearlJ., & BareinboimE. (2011). Transportability across studies: A formal approach. Proceedings of the 25th AAAI Conference on Artificial Intelligence, (pp. 247–254). Menlo Park, CA: AAAI Press.
80.
PearlJ. (2012a). The causal foundations of structural equation modeling. In HoyleR. H. (Ed.), Handbook of structural equation modeling (68–91). New York: Guilford Press.
81.
PearlJ. (2012b). The causal mediation formula—A guide to the assessment of pathways and mechanisms. Online, Prevention Science, DOI: 10.1007/s11121–011–0270–1, March 2012.
82.
PenkeL., BorsboomD., JohnsonW., KievitR. A., PloegerA., & WichertsJ. M. (2011). Evolutionary psychology and intelligence research cannot be integrated the way Kanazawa (2010) suggests. American Psychologist, 66, 916–917.
83.
PomerantzM. M., AhmadiyehN., JiaL., HermanP., VerziM. P., DoddapaneniH., … FreedmanM. (2009). The 8q24 cancer risk variant rs6983267 shows long–range interaction with MYC in colorectal cancer. Nature Genetics, 41, 882–884.
84.
ProvineW. B. (1986). Sewall Wright and evolutionary biology. Chicago: University of Chicago Press Books.
85.
RasmussenM., LiY., LindgreenS., PedersenJ. S., AlbrechtsenA., MoltkeI., … WillerslevE. (2010). Ancient human genome sequence of an extinct Palaeo–Eskimo. Nature, 463, 709–840.
86.
ReichD., GreenR. E., KircherM., KrauseJ., PattersonN., DurandE. Y., … PääboS. (2010). Genetic history of an archaic hominin group from Denisova Cave in Siberia. Nature, 468, 1053–1060.
87.
RobertsB. W., KuncelN. R., ShinerR., CaspiA., & GoldbergL. R. (2007). The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspectives on Psychological Science, 2(4), 313.
88.
RubinD. B. (2005). Causal inference using potential outcomes: Design, modeling, decisions. Journal of the American Statistical Association, 100, 322–331.
89.
RutterM. (2007). Proceeding from observed correlation to causal inference. Perspectives on Psychological Science, 2, 377–395.
90.
SavageL. J. (1976). On rereading R. A. Fisher (with discussion). Annals of Statistics, 4, 441–500.
91.
SheehanN. A., DidelezV., BurtonP. R., & TobinM. D. (2008). Mendelian Randomisation and causal inference in observational epidemiology. PLoS Medicine, 5, e177.
92.
ShipleyB. (2000). Cause and correlation in biology: A user's guide to path analysis, structural equations, and causal inference. Cambridge, UK: Cambridge University Press.
93.
SmilieL. D., CooperA., WiltJ., & RevelleW. (in press). Do extraverts get more bang for the buck? Refining the affective–reactivity hypothesis of extraversion. Journal of Personality and Social Psychology.
94.
SpirtesP., GlymourC., & ScheinesR. (2000). Causation, prediction, and search. Cambridge, MA: MIT Press.
95.
SteyerR. (1984). Causal linear stochastic dependencies: The formal theory. In DegreefE., & van BuggenhautJ. (Eds.), Trends in Mathematical Psychology (pp. 317–346). Amsterdam: Elsevier.
SteyerR., FiegeC., & MayerA. (in press–a). Causal inference. In: MichalosA. C. (Ed.), Encyclopedia of quality of life research. Heidelberg: Springer.
98.
SteyerR., MayerA., & FiegeC. (in press–b). Total, direct and indirect effects. In: MichalosA. C. (Ed.), Encyclopedia of quality of life research. Heidelberg: Springer.
99.
ThoemmesF., & KimE. (2011). A systematic review of propensity score methods in the social sciences. Multivariate Behavioral Research, 46, 90–118. DOI: 10.1080/00273171.2011.540475
100.
TimpsonN. J., WadeK. H., & Davey SmithG. (2012). Mendelian randomization: Application to cardiovascular disease. Current Hypertension Reports, 14, 29–37.
101.
van der MaasH. L. J., DolanC. V., GrasmanR. P. P. P., WichertsJ. M., HuizengaH. M., & RaijmakersM. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113, 842–861.
VisserM., KayserM., & PalstraR.–J. (2012). HERC2 rs12913832 modulates human pigmentation by attenuating chromatin–loop formation between a long–range enhancer and the OCA2 promoter. Genome Research, 22, 446–455.
104.
WagnerG. P. (2001). The character concept in evolutionary biology. San Diego, CA: Academic Press.
105.
WangY., BroderickP., MatakidouA., EisenT., & HoulstonR. S. (2011). Chromosome 15q25 (CHRNA3–CHRNA5) variation impacts indirectly on lung cancer risk. PLoS ONE, 6, e19085.
106.
Wellcome Trust Case Control Consortium. (2007). Genome–wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature447, 661–78.
107.
WeismannA. (1893). The all–sufficiency of natural selection: A reply to Herbert Spencer. Contemporary Review, 64, 309–338.
108.
WhiteJ.A. (1990). Ideas about causation in philosophy and psychology. Psychological Bulletin, 108, 3–18.
109.
WoldH. O. A. (1954). Causality and econometrics. Econometrica, 22, 162–177.
110.
WrightS. (1917). On the probable error of Mendelian class frequencies. The American Naturalist, 51, 373–375.
111.
WrightS. (1920). The relative importance of heredity and environment in determining the piebald pattern of guinea pigs. Proceedings of the National Academy of Sciences, 6, 320–32.
112.
WrightS. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557–585.
113.
YangJ., LeeS. H., GoddardM. E., & VisscherP. M. (2011). GCTA: A tool for genome–wide complex trait analysis. American Journal of Human Genetics, 88, 76–82.
114.
ZhuJ., WienerM. C., ZhangC., FridmanA., MinchE., LumP. Y., … SchadtE. E. (2007). Increasing the power to detect causal associations by combining genotypic and expression data. PLoS Computational Biology, 3, e69.