Judging the Scientific Quality of Applied Lighting Research

References

• [AERA APA and NCME] American Educational Research Association, the American Psychological Association and the National Council on Measurement in Education. 2014. Standards for educational and psychological testing. Washington (DC): AERA.
   Google Scholar
• Adamsson M, Laike T, Morita T. 2018. Comparison of static and ambulatory measurements of illuminance and spectral composition that can be used for assessing light exposure in real working environments. Leukos:1–14. Online before print. doi:10.1080/15502724.2017.1391101.
   Web of Science ®Google Scholar
• Appelbaum M, Cooper H, Kline RB, Mayo-Wilson E, Nezu AM, Rao SM. 2018. Journal article reporting standards for quantitative research in psychology: the APA publications and Communications Board task force report. Am Psychol. 73(1):3–25.
   PubMed Web of Science ®Google Scholar
• Aston SM, Bellchambers HE. 1969. Illumination, colour rendering and visual clarity. Light Res Technol. 1(4):259–61.
   Google Scholar
• Boyce PR. 1977. Investigations of the subjective balance between illuminance and lamp colour properties. Light Res Technol. 9:11–24.
   Google Scholar
• Boyce PR, Cuttle C. 1990. Effect of correlated colour temperature on the perception of interiors and colour discrimination. Light Res Technol. 22(1):19–36.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 1995. Method of measuring and specifying colour rendering properties of light sources, 3rd ed. Vienna (Austria): CIE. Publication No: CIE 13.3-1995.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage.. 2004a. Colorimetry. Vienna (Austria): CIE. Publication No: CIE 15:2004.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2004b. Photometry - The CIE system of physical photometry. Vienna (Austria): CIE. Publication No: CIE S 010/E:2004/ISO 23539:2005(E).
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2014a. Guidance towards best practice in psychophysical procedures used when measuring relative spatial brightness. Vienna (Austria): CIE. Publication No: CIE 212:2014.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2014b. Guide to protocols for describing lighting. Vienna (Austria): CIE. Publication No: CIE 213:2014.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2016. ILV: International lighting vocabulary, 2nd edition. Vienna (Austria): CIE. Publication No: CIE DIS 017/E:2016.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2017a. CIE 2017 Colour fidelity index for accurate scientific use. Vienna (Austria): CIE. Publication No: CIE 224:2017.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2017b. Final report CIE stakeholder workshop for temporal light modulation standards for lighting systems. Vienna (Austria): CIE. Publication No: CIE TN008:2017.
   Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2018. CIE system for metrology of optical radiation for ipRGC-influenced responses to light. Vienna(Austria): CIE. Publication No: CIE ED/IS 026/E:2018.
   Google Scholar
• Boyce PR, Veitch JA, Newsham GR, Jones CC, Heerwagen JH, Myer M, Hunter CM. 2006. Lighting quality and office work: two field simulation experiments. Light Res Technol. 38(3):191–223.
   Web of Science ®Google Scholar
• Carrier J, Monk TH. 2000. Circadian rhythms of performance: new trends. Chronobiol Int. 17(6):719–32.
   PubMed Web of Science ®Google Scholar
• Committee on Publication Ethics. 2017. Core practices. https://publicationethics.org/core-practices.
   Google Scholar
• Cook TD, Campbell DT. 1979. Quasi-experimentation: design and analysis for field settings. Boston (MA): Houghton Mifflin.
   Google Scholar
• Cooper H, Ed. 2012. APA Handbook of Research Methods in Psychology. Washington (DC): American Psychological Association.
   Google Scholar
• David A, Fini PT, Houser KW, Ohno Y, Royer MP, Smet KA, Wei M, Whitehead L. 2015. Development of the IES method for evaluating the color rendition of light sources. Opt Express. 23(12):15888–906.
   PubMed Web of Science ®Google Scholar
• David A, Krames MR, Houser KW. 2013. Whiteness metric for light sources of arbitrary color temperatures: proposal and application to light-emitting-diodes. Opt Express. 21(14):16702–15.
   PubMed Web of Science ®Google Scholar
• Davis RG, Ginthner DN. 1990. Correlated color temperature, illuminance level and the Kruithof curve. J Illum Eng Soc. 19:27–38.
   Web of Science ®Google Scholar
• de Kort YAW. 2018. Theoretical and methodological considerations when planning research on human factors in lighting. Leukos. This issue. doi:10.1080/15502724.2018.1558065
   Web of Science ®Google Scholar
• Dikel EE, Burns GJ, Veitch JA, Mancini S, Newsham GR. 2014. Preferred chromaticity of color-tunable LED lighting. Leukos. 10(2):101–15.
   Web of Science ®Google Scholar
• Esposito T, Houser KW. 2017. A new measure of color discrimination for LEDs and other sources. Light Res Technol:147715351772920. Online before print. doi:10.1177/1477153517729200.
   Web of Science ®Google Scholar
• Esposito T, Houser KW. 2018. Models of colour quality over a wide range of spectral power distributions. Light Res Technol:147715351876595. Online before print. doi:10.1177/1477153518765953.
   Web of Science ®Google Scholar
• Fairchild MD, Reniff L. 1995. Time course of chromatic adaptation for color-appearance judgments. J Opt Soc Am A. 12(5):824–33.
   Google Scholar
• Fotios S, Atli D. 2012. Comparing judgements of visual clarity and spatial brightness through an analysis of studies using the category rating procedure. Leukos. 8(4):261–81.
   Web of Science ®Google Scholar
• Fotios S, Atli D, Cheal C, Houser K, Logadóttir A. 2015. Lamp spectrum and spatial brightness at photopic levels: A basis for developing a metric. Light Res Technol. 47(1):80–102.
   Web of Science ®Google Scholar
• Fotios SA. 2001. An error in brightness matching associated with the application of dimming. Light Res Technol. 33(4):223–31.
   Google Scholar
• Fotios SA. 2017. A revised Kruithof graph based on empirical data. Leukos. 13(1):3–17.
   Web of Science ®Google Scholar
• Fotios SA. 2018. Using category rating to evaluate the lit environment: is a meaningful opinion captured?. Leukos. This issue. doi:10.1080/15502724.2018.1500181.
   Web of Science ®Google Scholar
• Fotios SA, Cheal C. 2010. Stimulus range bias explains the outcome of preferred-illuminance adjustments. Light Res Technol. 42(4):433–47.
   Web of Science ®Google Scholar
• Fotios SA, Houser KW. 2009. Research methods to avoid bias in categorical ratings of brightness. Leukos. 5(3):167–81.
   Web of Science ®Google Scholar
• Fotios SA, Houser KW. 2013. Using forced choice discrimination to measure the perceptual response to light of different characteristics. Leukos. 9(4):245–49.
   Web of Science ®Google Scholar
• Fotios SA, Houser KW, Cheal C. 2008. Counterbalancing needed to avoid bias in side-by-side brightness matching tasks. Leukos. 4(4):207–23.
   Web of Science ®Google Scholar
• Ghiselli EE, Campbell JP, Zedeck S. 1981. Measurement theory for the behavioral sciences. San Francisco (CA): W. H. Freeman.
   Google Scholar
• Government of Canada. 2018. Panel on research ethics: navigating the ethics of human research [ accessed 2018 Feb 27]. http://www.pre.ethics.gc.ca/eng/index/.
   Google Scholar
• Han S, Boyce PR 2003. Illuminance, CCT, décor and the Kruithof curve. 25th Session of the CIE, San Diego, 25 June–2 July 2003. 1(2); D3 282-285 (see also Han S. Effect of illuminance, CCT and décor on the perception of lighting. MS in Lighting thesis.
   Google Scholar
• Houser KW, Fotios SA, Royer MP. 2009. A test of the S/P ratio as a correlate for brightness perception using rapid-sequential and side-by-side experimental protocols. Leukos. 6(2):119–38.
   Web of Science ®Google Scholar
• Houser KW, Hu X. 2004. Visually matching daylight fluorescent lamplight with two primary sets. Col Res Appl. 29(6):428–37.
   Web of Science ®Google Scholar
• Houser KW, Tiller DK. 2003. Measuring the subjective response to interior lighting: paired comparisons and semantic differential scaling. Light Res Technol. 35(3):183–98.
   Google Scholar
• Houser KW, Tiller DK, Bernecker CA, Mistrick RG. 2002. The subjective response to linear fluorescent direct/indirect lighting systems. Light Res Technol. 34(3):243–64.
   Google Scholar
• Houser KW, Tiller DK, Hu X. 2004. Tuning the fluorescent spectrum for the trichromatic visual response: A pilot study. Leukos. 1(1):7–22.
   Web of Science ®Google Scholar
• [IUPSyS and IAAP] International Union of Psychological Science, International Association of Applied Psychology. 2008. Universal declaration of ethical principles for psychologists. http://www.iupsys.net/about/governance/universal-declaration-of-ethical-principles-for-psychologists.html.
   Google Scholar
• [IES] Illuminating Engineering Society. 2018. IES-TM-30-18 Method for evaluating light source color rendition. New York (NY): The Illuminating Engineering Society; 26 p.
   Google Scholar
• Houser KW, Wei M, David A, Krames M. 2014. Whiteness Perception under LED Illumination. Leukos. 10(3):165–80.
   Web of Science ®Google Scholar
• Kerlinger FN, Lee HB. 2000. Foundations of behavioral research. Fort Worth (TX): Harcourt College.
   Google Scholar
• Kruithof AA. 1941. Tubular luminescence lamps for general illumination. Philips Tech Rev. 6(3):65–73.
   Google Scholar
• Levitt HM, Bamberg M, Creswell JW, Frost DM, Josselson R, Suárez-Orozco C. 2018. Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: the APA publications and communications board task force report. Am Psychol. 73(1):26–46.
   PubMed Web of Science ®Google Scholar
• MacAdam DL. 1942. Visual sensitivities to color differences in daylight. J Opt Soc Am. 32(5):247–74.
   Google Scholar
• Meyers JL, Well AD. 1991. Research design and statistical analysis. New York (NY): HarperCollins.
   Google Scholar
• Newsham GR, Veitch JA. 2001. Lighting quality recommendations for VDT offices: A new method of derivation. Light Res Technol. 33:97–116.
   Google Scholar
• Ohno Y. 2014. Practical use and calculation of CCT and Duv. Leukos. 10(1):47–55.
   Web of Science ®Google Scholar
• Peng CYJ, Chen LT, Chiang HM, Chiang YC. 2013. The impact of APA and AERA guidelines on effect size reporting. Ed Psych Rev. 25(2):157–209.
   Web of Science ®Google Scholar
• Platt JR. 1964. Strong inference. Science. 146(3642):347–53.
   PubMed Web of Science ®Google Scholar
• Poulton EC. 1977. Quantitative subjective assessments are almost always biased, sometimes completely misleading. Br J Psychol. 68:409–25.
   Web of Science ®Google Scholar
• Rea M, Figueiro M, Bierman A, Bullough J. 2010. Circadian light. J Circadian Rhythms. 8(1):2.
   PubMedGoogle Scholar
• Royer MP, Houser KW, David A. 2017. Chroma shift and gamut shape: Going beyond average color fidelity and gamut area. Leukos. 14(3):149–65. doi:10.1080/15502724.2017.1372203.
   Web of Science ®Google Scholar
• Royer MP, Wei M. 2017. The role of presented objects in deriving color preference criteria from psychophysical studies. Leukos. 13(3):143–57.
   Web of Science ®Google Scholar
• Royer MP, Wilkerson A, Wei M, Houser KW, Davis RG. 2016. Human judgements of color rendition vary with average fidelity, average gamut, and gamut shape. Light Res Technol. 49(8):966–91. doi:10.1177/1477153516663615.
   Web of Science ®Google Scholar
• Shadish WR, Cook TD, Campbell DT. 2002. Experimental and quasi-experimental designs for generalized causal inference. Boston (MA): Houghton Mifflin.
   Google Scholar
• Teunissen C, van der Heijden F, Poort SHM, de Beer E. 2016. Characterising user preference for white LED light sources with CIE colour rendering index combined with a relative gamut area index. Light Res Technol. 49(4):461–80.
   Web of Science ®Google Scholar
• U.S. Department of Health and Human Services. 2018. Office for human research protections: federal policy for the protection of human subjects (‘common rule’) [ Accessed 2018 Feb 27]. https://www.hhs.gov/ohrp/regulations-and-policy/regulations/common-rule/index.html.
   Google Scholar
• Uttley J. 2018. Power analysis, sample size and assessment of statistical assumptions - improving the evidential value of lighting research. Leukos. This issue. doi:10.1080/15502724.2018.1533851.
   Web of Science ®Google Scholar
• Vacha-Haase T, Nilsson JE, Reetz DR, Lance TS, Thompson B. 2000. Reporting practices and APA editorial policies regarding statistical significance and effect size. Theory Psychol. 10(3):413–25.
   Web of Science ®Google Scholar
• Veitch JA, Newsham GR, Mancini S, Arsenault CD. 2010. Lighting and office renovation effects on employee and organizational well-being (NRC-IRC RR-306. Ottawa (ON): NRC Institute for Research in Construction.
   Google Scholar
• Vienot F, Durand M-L, Mahler E. 2009. Kruithof’s rule revisited using LED illumination. J Mod Opt. 56(13):1433–46.
   Web of Science ®Google Scholar
• Wei M, Houser KW. 2017. Systematic changes in gamut size affects color preference. Leukos. 13(1):23–32.
   Web of Science ®Google Scholar
• Wei M, Houser KW, Allen G, Beers W. 2014. Color preference under LEDs with diminished yellow emission. Leukos. 10(3):119–31.
   Web of Science ®Google Scholar
• Wei M, Houser KW, David A, Krames M. 2016. Colour gamut size and shape influence colour preference. Light Res Technol. 49(8):992–1014. doi:10.1177/1477153516651472.
   PubMed Web of Science ®Google Scholar
• Wilkinson L; Task Force on Statistical Inference, American Psychological Association. 1999. Statistical methods in psychology journals: guidelines and explanations. Am Psychol. 54:594–604.
   Web of Science ®Google Scholar
• Williams EJ. 1949. Experimental designs balanced for the estimation of residual effectos of treatments. Aus J Sci Res Ser A, Phys Sci. 2:149–68.
   Google Scholar
• Wyszecki G, Stiles WS. 1982. Color science: concepts and methods, quantitative data and formulae. 2nd ed. New York (NY): John Wiley and Sons; p. 102–05.
   Google Scholar