Theory construction and data analysis

Theory and Psychology

Volumn 27, Issue 1, 2017, Pages 126-134

  Tryon, Warren W ^a   Patelis, Thanos ^b   Chajewski, Michael ^c   Lewis, Charles ^a  

^a FORDHAM UNIVERSITY   (United States)

^b National Center for the Improvement of Educational Assessment Inc   (United States)

^c Advanced Placement Curriculum and Content Development   (United States)

Author keywords

falsifiability; null hypothesis statistical testing; publication bias; replicability; theory construction; web of causation

Indexed keywords

EID: 85011950303     PISSN: 09593543     EISSN: 14617447     Source Type: Journal    
DOI: 10.1177/0959354316684043     Document Type: Article

References (20)

1. Bakan D., (1966). The test of significance in psychological research. Psychological Bulletin, 66, 423–437. doi: 10.1037/h0020412
2. Branch M., (2014). Malignant side effects of null-hypothesis significance testing. Theory & Psychology, 24, 256–277. doi: 10.1177/0959354314525282
3. Cohen J., (1994). The world is round (p <.05). American Psychologist, 49, 997–1003. doi: 10.1037/0003–066X.49.12.997
4. Cooper H., Hedges L. V., (Eds.). (1994). The handbook of research synthesis. New York, NY: Russell Sage Foundation.
5. Driessen E., Hollon S. D., Bockting C. L. H., Cuijpers P., Turner E. H., (2015). Does publication bias inflate the apparent efficacy of psychological treatment for major depressive disorder? A systematic review and meta-analysis of US National Institutes of Health-funded trials. PLoS ONE, 10(9), e0137864. doi: 10.1371/journal.pone.0137864
6. Ferguson C. J., Heene M., (2012). A vast graveyard of undead theories publication bias and psychological science’s aversion to the null. Perspectives on Psychological Science, 7(6), 555–561. doi: 10.1177/1745691612459059
7. Ioannidis J. P. A., Munafo M. R., Fusar-Poli P., Nosek B. A., David S. P., (2014). Publication and other reporting biases in cognitive sciences: Detection, prevalence, and prevention. Trends in Cognitive Sciences, 18(5), 235–241. doi: 10.1016.j.tics.2014.02.010
8. Jones L. V., Tukey J. W., (2000). A sensible formulation of the significance test. Psychological Methods, 5, 411–414. doi: 10.1037//1082–989X.5.4.411
9. Kühberger A., Scherndl T., Fritz A., (2013). On the correlation between effect size and sample size: A reply. Theory & Psychology, 23, 801–804. doi: 10.1177/0959354313500863
10. Lambdin C., (2012). Significance tests as sorcery: Science is empirical—significance tests are not. Theory & Psychology, 22, 67–90. doi: 10.1177/0959354311429854
11. Lilienfeld S. O., (2012). Public skepticism of psychology: Why many people perceive the study of human behavior as unscientific. American Psychologist, 67, 111–129. doi: 10.1037/a0023963
12. MacMahon B., Pugh T., Ipsen J., (1960). Epidemiologic methods. Boston, MA: Little Brown.
13. Maxwell S. E., Lau M. Y., Howard G. S., (2015). Is psychology suffering from a replication crisis? What does “failure to replicate” really mean? American Psychologist, 26, 487–498. doi: 10.1037/a0039400
14. Meehl P. E., (1990a). Appraising and amending theories: The strategy of Lakatosian defense and two principles that warrant it. Psychological Inquiry, 1, 108–141. doi: 10.1207/s15327965pli0102_1
15. Meehl P. E., (1990b). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66, 195–224. doi: 10.2466/pr0.1990.66.1.195
16. Open Science Collaboration. (2015, August 28). Estimating the reproducibility of psychological science. Science, 349(6251). doi: 10.1126/science.aac4716
17. Rosenthal R., (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86, 638–641. doi: 10.1037/0033–2909.86.3.638
18. Rosenthal R., Rubin D. B., (1982). A simple general purpose display of magnitude and experimental effect. Journal of Educational Psychology, 74, 166–169. doi: 10.1037/0022–0663.74.2.166
19. Rothman K. J., Greenland S., (2002). Causation and causal inference. In Detels R., McEwen J., Beaglehole R., Tanaka H., (Eds.), Oxford textbook of public health (4th ed., pp. 641–653). Oxford, UK: Oxford University Press.
20. Rutter M., (2007). Proceeding from observed correlation to causal inference: The use of natural experiments. Perspectives on Psychological Science, 2, 377–395. doi: 10.1111/j.1745–6916.2007.00050.x