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Journal articles on the topic 'Size differences'

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Author: Grafiati
Published: 14 March 2023

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1

Schluter, Dolph. "Brain size differences." Nature 359, no. 6392 (September 1992): 181. http://dx.doi.org/10.1038/359181a0.

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2

Lynn, Richard. "Brain size differences." Nature 359, no. 6392 (September 1992): 181. http://dx.doi.org/10.1038/359181b0.

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3

Tsai, F. C. S. "Brain size differences." Nature 359, no. 6392 (September 1992): 181–82. http://dx.doi.org/10.1038/359181c0.

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4

Blest, A. David. "Brain size differences." Nature 359, no. 6392 (September 1992): 182. http://dx.doi.org/10.1038/359182a0.

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5

Rushton, J. Philippe. "Brain size differences." Contemporary Psychology: A Journal of Reviews 38, no. 4 (April 1993): 434. http://dx.doi.org/10.1037/033288.

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6

Becker, Brent A. "Differences in brain size." Nature 358, no. 6387 (August 1992): 532. http://dx.doi.org/10.1038/358532a0.

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7

Rushton, J. Philippe. "Differences in brain size." Nature 358, no. 6387 (August 1992): 532. http://dx.doi.org/10.1038/358532b0.

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8

Ankney, C. Davison. "Differences in brain size." Nature 358, no. 6387 (August 1992): 532. http://dx.doi.org/10.1038/358532c0.

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9

Knight, Barry. "Differences in brain size." Nature 358, no. 6387 (August 1992): 532. http://dx.doi.org/10.1038/358532d0.

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10

Peters, Michael. "Race differences in brain size." American Psychologist 50, no. 11 (November 1995): 947–48. http://dx.doi.org/10.1037/0003-066x.50.11.947.

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11

Rushton, J. Philippe. "Race differences in brain size." American Psychologist 51, no. 5 (May 1996): 556. http://dx.doi.org/10.1037/0003-066x.51.5.556.a.

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12

Wiesemüller, B., and H. Rothe. "The Size of Differences as a Quality Criterion for Characters in Phylogenetics." Zeitschrift für Morphologie und Anthropologie 83, no. 1 (March 1, 2001): 1–4. http://dx.doi.org/10.1127/zma/83/2001/1.

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13

Wang, J., P. J. Chen, G. J. Wang, and L. Keller. "Chromosome Size Differences May Affect Meiosis and Genome Size." Science 329, no. 5989 (July 15, 2010): 293. http://dx.doi.org/10.1126/science.1190130.

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14

Gonzalez, Adam, Carol T. Miller, Sondra E. Solomon, Janice Yanushka Bunn, and Daniel G. Cassidy. "Size Matters: Community Size, HIV Stigma, & Gender Differences." AIDS and Behavior 13, no. 6 (September 25, 2008): 1205–12. http://dx.doi.org/10.1007/s10461-008-9465-2.

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15

Peters, Michael. "Sex differences in human brain size and the general meaning of differences in brain size." Canadian Journal of Psychology/Revue canadienne de psychologie 45, no. 4 (1991): 507–22. http://dx.doi.org/10.1037/h0084307.

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16

HARIMAYA, Toshio, Hiroki KODAMA, and Ken-ichiro MURAMOTO. "Regional Differences in Snowflake Size Distributions." Journal of the Meteorological Society of Japan 82, no. 3 (2004): 895–903. http://dx.doi.org/10.2151/jmsj.2004.895.

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17

Crickmore, M. A. "The Molecular Basis of Size Differences." Science 326, no. 5958 (December 3, 2009): 1360–61. http://dx.doi.org/10.1126/science.1184444.

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18

Saulton, Aurelie, Heinrich H. Bülthoff, Stephan de la Rosa, and Trevor J. Dodds. "Cultural differences in room size perception." PLOS ONE 12, no. 4 (April 20, 2017): e0176115. http://dx.doi.org/10.1371/journal.pone.0176115.

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19

Hamilton, R. T., and Lucy Lawrence. "Explaining Size Differences in Smaller Firms." International Small Business Journal: Researching Entrepreneurship 19, no. 2 (January 2001): 49–60. http://dx.doi.org/10.1177/0266242601192003.

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20

Winter, Edward M. "Scaling: Partitioning out Differences in Size." Pediatric Exercise Science 4, no. 4 (November 1992): 296–301. http://dx.doi.org/10.1123/pes.4.4.296.

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In his “Editor’s Notes,” Rowland (15) raised an issue that is fundamentally important but frequently appears to be misunderstood. The issue is scaling, that is, the means of partitioning out differences in size. Because physiological variables are often dependent on size, an adjustment has to be made to “normalize” for body dimensions and assess more precisely a particular characteristic. These adjustments have four main applications: (a) to an individual who is compared against standards for the purposes of assessment; (b) in comparisons between groups; (c) in longitudinal studies, especially with children, in which for instance the effects of training have to be disentangled from the effects of growth and development; and (d) in studies that explore the relationship between physiological variables and performance. The purpose of this review is to assess the most appropriate means of scaling and demonstrate how well-intentioned, but nevertheless incorrect, scaling techniques have probably produced misleading results and retarded progress in our understanding of the physiology of exercise.
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21

Kuehni, Rolf G. "How does the size of the difference affect perceived larger color differences?" Color Research & Application 25, no. 5 (2000): 381. http://dx.doi.org/10.1002/1520-6378(200010)25:5<381::aid-col10>3.0.co;2-z.

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22

Foitzik, Susanne, and Jürgen Heinze. "Non-random Size Differences between Sympatric Species of the Ant Genus Leptothorax (Hymenoptera: Formicidae)." Entomologia Generalis 24, no. 2 (September 16, 1999): 65–74. http://dx.doi.org/10.1127/entom.gen/24/1999/65.

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23

Rita, Patrícia, Kenneth De Baets, and Martina Schlott. "Rostrum size differences between Toarcian belemnite battlefields." Fossil Record 21, no. 1 (June 7, 2018): 171–82. http://dx.doi.org/10.5194/fr-21-171-2018.

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Abstract. Body size changes have been reported across crisis intervals. Belemnites – now considered extinct stem-decabrachians – have rarely been investigated for this purpose, and the few studies have resulted in ambiguous outcomes. Here we investigate two Toarcian belemnite accumulations in southern Germany from a morphometric point of view with the support of computed tomography data. The aim of this study is to test whether a difference in size can be observed between the rostra of the two studied samples, from individual lineage to community, and which proxy is more reliable. A significant decrease in median size from the Early Toarcian (Dactylioceras tenuicostatum Zone) to the Middle Toarcian (Haugia variabilis Zone) is recognized. This is observed at the community level of organization, considering the whole assemblage, but also within Passaloteuthis–Acrocoelites lineage, at the genus level. It is also demonstrated that diameter-based measurements or maximum preserved length are not reliable proxies for size, and therefore apical length or three-dimensional approximations, such as the geometric mean or the post-phragmocone volume, are more advisable. This is especially important when comparing specimens with markedly different rostrum shapes. Further studies are, however, still necessary to disentangle the mechanisms behind the reduction in rostrum size within the Toarcian and their putative environmental causes.
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24

Jefferies, Lisa N., Leon Gmeindl, and Steven Yantis. "Attending to illusory differences in object size." Attention, Perception, & Psychophysics 76, no. 5 (April 3, 2014): 1393–402. http://dx.doi.org/10.3758/s13414-014-0666-7.

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25

Diamond, Jared M. "Ethnic differences: Variation in human testis Size." Nature 320, no. 6062 (April 1986): 488–89. http://dx.doi.org/10.1038/320488a0.

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26

Anbarci, Nejat, and Mehmet A. Ulubaşoğlu. "Intersectoral size differences and migration: Kuznets revisited." Journal of International Trade & Economic Development 20, no. 2 (February 18, 2011): 251–92. http://dx.doi.org/10.1080/09638199.2011.538232.

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27

Vergilino, Roland, Kaven Dionne, Christian Nozais, France Dufresne, and Claude Belzile. "Genome size differences in Hyalella cryptic species." Genome 55, no. 2 (February 2012): 134–39. http://dx.doi.org/10.1139/g11-085.

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The Hyalella azteca (Saussure) complex includes numerous amphipod cryptic species in freshwater habitats in America as revealed by DNA barcoding surveys. Two ecomorphs (small and large) have evolved numerous times in this complex. Few phenotypic criteria have been found to differentiate between the numerous species of this complex. The present study aims to explore genome size differences between some species of the H. azteca complex co-occurring in a Canadian boreal lake using flow cytometry. Nuclear DNA content was estimated for 50 individuals belonging to six COI haplotypes corresponding to four provisional species of the H. azteca complex. Species from the large ecomorph had C-values significantly larger than species from the small ecomorph, whereas slight differences were found among species of the small ecomorph. These differences in genome sizes might be linked to ecological and physiological differences among species of the H. azteca complex.
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28

Rushton, J. Philippe, and Elizabeth W. Rushton. "Brain size, IQ, and racial-group differences." Intelligence 31, no. 2 (March 2003): 139–55. http://dx.doi.org/10.1016/s0160-2896(02)00137-x.

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29

Hammerschmidt, Dale E. "Can albumin size differences be exploited therapeutically?" Journal of Laboratory and Clinical Medicine 143, no. 2 (February 2004): 73. http://dx.doi.org/10.1016/j.lab.2003.12.009.

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30

Bond, W. J., and J. Midgley. "Allometry and Sexual Differences in Leaf Size." American Naturalist 131, no. 6 (June 1988): 901–10. http://dx.doi.org/10.1086/284830.

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31

Gignac, Gilles E., and Eva T. Szodorai. "Effect size guidelines for individual differences researchers." Personality and Individual Differences 102 (November 2016): 74–78. http://dx.doi.org/10.1016/j.paid.2016.06.069.

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32

Dalgleish, D. G., D. S. Horne, and A. J. R. Law. "Size-related differences in bovine casein micelles." Biochimica et Biophysica Acta (BBA) - General Subjects 991, no. 3 (June 1989): 383–87. http://dx.doi.org/10.1016/0304-4165(89)90061-5.

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33

Ebert, Udo. "Income inequality and differences in household size." Mathematical Social Sciences 30, no. 1 (August 1995): 37–55. http://dx.doi.org/10.1016/0165-4896(94)00779-8.

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34

Ebert, U. "Income inequality and differences in household size." Mathematical Social Sciences 31, no. 1 (February 1996): 57–58. http://dx.doi.org/10.1016/0165-4896(96)88682-3.

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35

Massutí, Enric, John D. M. Gordon, Joan Morata, Sarah C. Swan, Constantí Stefanescu, and Nigel R. Merrett. "Mediterranean and Atlantic deep-sea fish assemblages: differences in biomass composition and size-related structure." Scientia Marina 68, S3 (December 30, 2004): 101–15. http://dx.doi.org/10.3989/scimar.2004.68s3101.

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36

Tutkuviene, Janina. "Sex and gender differences in secular trend of body size and frame indices of Lithuanians." Anthropologischer Anzeiger 63, no. 1 (March 11, 2005): 29–44. http://dx.doi.org/10.1127/anthranz/63/2005/29.

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37

Krannitz, Pam G., and C. Ken Carey. "Among-site differences in seedling size, growth, and survivorship in Solidago flexicaulis." Canadian Journal of Botany 66, no. 8 (August 1, 1988): 1632–38. http://dx.doi.org/10.1139/b88-222.

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Seedling and juvenile size, growth, and survivorship in Solidago flexicaulis L. were compared among three sites in southern Ontario in an attempt to evaluate environmental versus population effects on phenotype. In 1983, seedlings at the Eden Mills site were the largest in size, while survivorship was the lowest at the Guelph site ("Dairy Bush Hill"). When seedlings from Eden Mills were transplanted into the other two sites in 1984, among-site differences in growth and survivorship were predominantly due to environmental differences between sites rather than population differences between seedlings from Eden Mills and the seedlings resident at the site. However, at Dairy Bush Hill, seedlings transplanted within the site grew proportionally more than did the seedlings transplanted from Eden Mills, suggesting that the resident population was better adapted to the conditions. Mortality was again greatest at this site in 1984. Size-dependent mortality was not a factor at the Belfountain site, but was important at the other two sites. Herbivory was an important factor determining whether size-dependent mortality was exhibited at a site.
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38

Sullivan, Edith V., Margaret J. Rosenbloom, John E. Desmond, and Adolf Pfefferbaum. "Sex differences in corpus callosum size: relationship to age and intracranial size." Neurobiology of Aging 22, no. 4 (July 2001): 603–11. http://dx.doi.org/10.1016/s0197-4580(01)00232-9.

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39

Newman, Sharlene D. "Differences in cognitive ability and apparent sex differences in corpus callosum size." Psychological Research 80, no. 5 (July 25, 2015): 853–59. http://dx.doi.org/10.1007/s00426-015-0688-3.

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40

Kolman, L., P. Michálek, H. Chamoutová, K. Chamoutová, and L. Müllerová. "Work motivation and the municipality size." Agricultural Economics (Zemědělská ekonomika) 53, No. 1 (January 7, 2008): 30–35. http://dx.doi.org/10.17221/845-agricecon.

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The article shows the results of the grant project of Czech Science Foundation 406/03/0896, which focused on the survey of work motivation and quality of working life issues in the Czech country. The results concern an analysis of variation and a range of coefficients and show statistically significant differences in motivational coefficients in sets that differ in the respondents size of residence. The main aim of the survey was to find out if it is possible to identify the differences in work motivation between people from large cities and people from small municipalities, namely between inhabitants of the Prague metropolitan area and smaller municipalities placed near to the national boundary. The survey was conducted by means of the EDMK questionnaire, which is described elsewhere (see references). Some specific questions were added by the present authors. Statistical analysis of the data obtained resulted in the findings, as follows: (1) questionnaire scales used are sufficiently reliable (as proved by the Cronbachs&rsquo; alphas statistics); (2) statistically significant differences were identified in the motivational patterns of the Prague Metropolitan Area and small municipalities inhabitants; (3) the quality of working life in Czechia was found as a rather low; it results in lower perceived responsibility and job involvement found in the whole sample of Czech responses.
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41

Mannix, Elizabeth, and Margaret A. Neale. "What Differences Make a Difference?" Psychological Science in the Public Interest 6, no. 2 (October 2005): 31–55. http://dx.doi.org/10.1111/j.1529-1006.2005.00022.x.

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SUMMARY—As the workplace has become increasingly diverse, there has been a tension between the promise and the reality of diversity in team process and performance. The optimistic view holds that diversity will lead to an increase in the variety of perspectives and approaches brought to a problem and to opportunities for knowledge sharing, and hence lead to greater creativity and quality of team performance. However, the preponderance of the evidence favors a more pessimistic view: that diversity creates social divisions, which in turn create negative performance outcomes for the group. Why is the reality of diversity less than the promise? Answering this requires understanding a variety of factors, including how diversity is defined and categorized, and the moderating as well as mediating processes that affect the diversity–process–performance linkage. We start with a definition. The word diversity has been used to refer to so many types of differences among people that the most commonly used definition—“any attribute that another person may use to detect individual differences” (Williams & O'Reilly, 1998, p. 81)—while accurate, is also quite broad. As a result, various categorization schemes based on factors such as race or gender, or based on proportions such as the size of the minority, have been used to further refine the definition of diversity in teams. The choices researchers have made in using these categorization schemes, however, do lead to particular tradeoffs. Factor approaches, for example, allow an examination of multiple types of diversity and the interactions among them but ignore the sizes of factions and subgroups. Proportional approaches allow the consideration of minority-group size, and hence the study of issues such as tokenism, but also tend to focus on only one type of diversity and thereby overestimate its relevance relative to other types. The underlying effects of diversity, whichever way it is defined and categorized, have typically been understood through three primary theoretical perspectives: the similarity–attraction paradigm, self- and social categorization, and information processing. These approaches also have their biases. The predictions of similarity–attraction theory are straightforward: Similarity on attributes such as attitudes, values, and beliefs will facilitate interpersonal attraction and liking. Empirical research has supported that surface-level similarity tends to predict affiliation and attraction. The similarity–attraction paradigm was developed to understand dyadic relationships. Yet, individuals can express preferences for membership in particular groups even when they have had no prior social interaction with members of that group. This is primarily a cognitive process of categorization: Individuals are postulated to have a hierarchical structure of self-categorizations at the personal, group, and superordinate levels. Research has demonstrated that the specific categories on which we tend to focus in categorizing others—such as race, gender, values, or beliefs—are likely to be those that are the most distinctive or salient within the particular social context. The act of social categorization activates differential expectations for in-group and out-group members. This distinction creates the atmosphere for stereotyping, in which out-group members are judged more stereotypically than in-group members are. The self-categorization/social-identity and similarity–attraction approaches both tend to lead to the pessimistic view of diversity in teams. In these paradigms, individuals will be more attracted to similar others and will experience more cohesion and social integration in homogeneous groups. The information-processing approach, by contrast, offers a more optimistic view: that diversity creates an atmosphere for enhancing group performance. The information-processing approach argues that individuals in diverse groups have access to other individuals with different backgrounds, networks, information, and skills. This added information should improve the group outcome even though it might create coordination problems for the group. As we disentangle what researchers have learned from the last 50 years, we can conclude that surface-level social- category differences, such as those of race/ethnicity, gender, or age, tend to be more likely to have negative effects on the ability of groups to function effectively. By contrast, underlying differences, such as differences in functional background, education, or personality, are more often positively related to performance—for example by facilitating creativity or group problem solving—but only when the group process is carefully controlled. The majority of these effects have typically been explained in terms of potential mediators such as social integration, communication, and conflict. However, the actual evidence for the input–process–output linkage is not as strong as one might like. Clarifying the mixed effects of diversity in work groups will only be possible by carefully considering moderators such as context, by broadening our view to include new types of diversity such as emotions and networks, and by focusing more carefully on mediating mechanisms. As we delve into advice for organizational teams to enhance the assets of diversity and manage the liabilities, we focus on the benefits of “exploring” as opposed to “exploiting” types of tasks, of bridging diversity through values and goals, and of enhancing the power of the minority. Finally, we end with suggestions for how organizations can learn to create incentives for change within the firm.
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42

Koronkiewicz, Andrzej. "Size and maturity differences between trawl and jigger caught short-finned squid Illex argentinus (Cephalopoda: Ommastrephidae)." Acta Ichthyologica et Piscatoria 25, no. 1 (June 30, 1995): 97–112. http://dx.doi.org/10.3750/aip1995.25.1.09.

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43

Reckendorfer, W., H. Keckeis, V. Tutu, G. Winkler, H. Zornig, and F. Schiemer. "Diet shifts in 0+ nase, Chondrostoma nasus: Size-specific differences and the effect of food availability." River Systems 12, no. 2-4 (February 12, 2001): 425–40. http://dx.doi.org/10.1127/lr/12/2001/425.

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44

Shallo, Josephine, and Irvin Rock. "Size Constancy in Children: A New Interpretation." Perception 17, no. 6 (December 1988): 803–13. http://dx.doi.org/10.1068/p170803.

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Existing evidence indicates that there are differences between children and adults in size constancy when observation distances are large. Findings are reported which suggest that this phenomenon is based on a difference in the accessing of proximal stimulus information, which, in the case of size, refers to visual angle subtended. Age differences were found when a traditional size constancy task was used, but these differences disappeared when all the comparison objects subtended the same visual angle. Since this finding demonstrates that young children can make accurate size matches, it is suggested that the underconstancy previously reported is not necessarily the result of childrens' inability to use fully certain cues to distance. Rather, the findings suggest that children access proximal stimulus information more spontaneously than do adults.
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45

Hedges, Larry V., and Lynn Friedman. "Computing Gender Difference Effects in Tails of Distributions: The Consequences of Differences in Tail Size, Effect Size, and Variance Ratio." Review of Educational Research 63, no. 1 (March 1993): 110–12. http://dx.doi.org/10.3102/00346543063001110.

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46

Bridges, F. Stephen, and Neil P. Coady. "Urban Size Differences in Incidence of Altruistic Behavior." Psychological Reports 78, no. 1 (February 1996): 307–12. http://dx.doi.org/10.2466/pr0.1996.78.1.307.

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Two field experiments using 828 “lost letters” tested the hypothesis that altruism would be higher in small urban communities or towns than in cities unless the person needing help was a social deviant. The effect of deviance did alter return rates in both studies. In Study A, the effect of location and social deviance on altruistic responses from cities was generally greater than from smaller communities, except when the person in need of help was affiliated with the highly deviant prostitute conditions. In Study B, altruistic responses from cities were generally less than those from small towns even when the needy person was affiliated with the Communist or needle-exchange conditions.
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47

WELSMAN, JOANNE R., NEIL ARMSTRONG, ALAN M. NEVILL, EDWARD M. WINTER, and BRIAN J. KIRBY. "Scaling peak ??VO2 for differences in body size." Medicine &amp Science in Sports &amp Exercise 28, no. 2 (February 1996): 259–65. http://dx.doi.org/10.1097/00005768-199602000-00016.

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48

Fuller, Arwen A., Robyn K. Fuchs, and Christine M. Snow. "Vertebral Size Differences In Prepubertal Boys and Girls." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S296. http://dx.doi.org/10.1249/00005768-200405001-01418.

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49

Tuck, Peter, and R. T. Hamilton. "Intra-Industry Size Differences in Founder-Controlled Firms." International Small Business Journal: Researching Entrepreneurship 12, no. 1 (October 1993): 12–22. http://dx.doi.org/10.1177/0266242693121001.

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50

Fuller, Arwen A., Robyn K. Fuchs, and Christine M. Snow. "Vertebral Size Differences In Prepubertal Boys and Girls." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S296. http://dx.doi.org/10.1097/00005768-200405001-01418.

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