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Regional distribution of fractures in the southern Edwards Plateau and their relationship to tectonics and caves
No full textBureau Publication GC7802 - to purchase a print copy please go to: https://store.beg.utexas.edu/geologic-circulars/436-gc7802.htmlIn order to better understand the control exerted by fractures on the recharge and production zones of limestone aquifers, the authors delineated surficial fracture zones in the southern Edwards Plateau, Texas. Lineations were marked on nearly 200 mosaics scale of 1:24,000. Approximately 400 fracture zones were identified on each mosaic. Moving averages of the density and orientation of fracture zones were computed in order to map (1) number of fractures, (2) length of fracturing, (3) distribution of fracture intersections, (4) weighted arithmetic mean of fracture orientation in northeast and northwest quadrants, and (5) standard deviation of the means. All were calculated per unit area. In addition, rose diagrams were computed for selected areas, generally a standard 7.5-minute quadrangle.
The method introduced bias in that (1) fracture zones were identified with greater difficulty at the margins of mosaics, and (2) more north-south and east-west fracture zones were observed in field measurements than in aerial photographic interpretations. The fractures appear controlled both by an old system of basement fracturing and by the trend of the relatively young Balcones fault system. The basement system contains prominent northeastward and northwestward-trending sets, and north-south and east-west-trending subsets. Fractures related to the Balcones fault zone trend east-west in the western Edwards Plateau and generally approach north in the eastern plateau. Cave passageways in the western plateau appear to parallel fracture zones trending northwestward, northeastward, and westward, whereas abundant cave corridors of eastern caves commonly align with the principal faults of the Balcones fault zone.Bureau of Economic GeologyUT Librarie
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Regional Tertiary cross sections, Texas Gulf Coast
No full textBureau Publication GC7605 - to purchase a print copy please go to: https://store.beg.utexas.edu/geologic-circulars/424-gc7605.htmlThe Bureau of Economic Geology has been conducting regional studies of the Frio Formation along the Texas Gulf Coast to evaluate potential geothermal energy from deep, geopressured sandstone reservoirs (Bebout, Dorfman, and Agagu, 1975; Bebout, Agagu, and Dorfman, 1975). The procedures used in this evaluation were reviewed at the Second Geopressured Geothermal Energy Conference held at The University of Texas at Austin and sponsored by the United States Energy Research and Development Administration. The index map (fig. 1) and cross sections (figs. 2-7) included in this circular were prepared for that meeting and were included in the Proceedings (Bebout, 1976).
Published regional cross sections (Corpus Christi Geological Society Study Group, 1954-55, 1964; Deussen and Owen, 1939; Houston Geological Society Study Group, 1954, 1972; and South Texas Geological Society, 1951), unpublished cross sections provided by several major oil companies, and extensive micropaleontological and electrical-log files at the Bureau of Economic Geology served as basic data. These sections are meant to show gross regional distribution of sand and shale facies both laterally and vertically throughout the entire Tertiary section along the Texas Gulf Coast. Closely spaced wells were used for detailed correlation, but for clarity many have been omitted for these cross sections (fig. 1 and table 1). Growth faults tend to obscure regional trends and have been omitted. The top of the geopressure zone is indicated by an arrow. At least eight sand-shale wedges are easily recognized on regional electrical-log cross sections (figs. 2-7). Hardin (1961) illustrated the major wedges as the Midway/Wilcox, Reklaw/Queen City, Weches/Sparta, Cook Mountain/Yegua, Jackson, Vicksburg, Frio, and Anahuac/Fleming. The Pliocene and Pleistocene comprise additional cycles but are undifferentiated in this study. These cycles reflect changes in the ancient shoreline resulting from variations in sediment supply, rate of subsidence, and position of sea level. In general, in the updip end of the wedge the main sand depocenter is in the lower part of the section and downdip it is progressively higher in the section; this is a progradational cycle. In order to emphasize these wedges, the boundary between the facies-related sand-shale couplet is defined by a dashed line on the cross sections. Time lines within the couplet are expected to cross the dashed line as the deltaic or barrier sands prograde basinward over the prodelta or shelf shales.Bureau of Economic GeologyUT Librarie
Supplementary materials to: The interactive effects of ambivalence and certainty on political opinion stability
No full textSupplementary materials to: Luttrell, A., Petty, R. E., & Briñol, P. (2020). The interactive effects of ambivalence and certainty on political opinion stability. Journal of Social and Political Psychology, 8(2), 525-541. https://doi.org/10.5964/jspp.v8i2.1247notReviewedpublishedVersio
sj-docx-1-psp-10.1177_01461672221103414 – Supplemental material for The Measurement of Racial Colorblindness
No full textSupplemental material, sj-docx-1-psp-10.1177_01461672221103414 for The Measurement of Racial Colorblindness by Bernard E. Whitley, Andrew Luttrell and Tollie Schultz in Personality and Social Psychology Bulletin</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Luttrell_OpenPracticesDisclosure_rev – Supplemental material for Challenging Moral Attitudes With Moral Messages
No full textSupplemental material, Luttrell_OpenPracticesDisclosure_rev for Challenging Moral Attitudes With Moral Messages by Andrew Luttrell, Aviva Philipp-Muller and Richard E. Petty in Psychological Science</p
Luttrell_SupplementalAnalyses – Supplemental material for Challenging Moral Attitudes With Moral Messages
No full textSupplemental material, Luttrell_SupplementalAnalyses for Challenging Moral Attitudes With Moral Messages by Andrew Luttrell, Aviva Philipp-Muller and Richard E. Petty in Psychological Science</p
Luttrell_Materials – Supplemental material for Challenging Moral Attitudes With Moral Messages
No full textSupplemental material, Luttrell_Materials for Challenging Moral Attitudes With Moral Messages by Andrew Luttrell, Aviva Philipp-Muller and Richard E. Petty in Psychological Science</p
Observe, hypothesize, test, repeat: Luttrell, Petty, and Xu (2017) demonstrate good science
No full textMany Labs 3 (Ebersole et al., 2016) failed to replicate a classic finding from the Elaboration Likelihood Model of persuasion (Cacioppo, Petty, & Morris, 1983; Study 1). Petty and Cacioppo (2016) noted possible limitations of the Many Labs 3 replication (Ebersole et al., 2016) based on the cumulative literature. Luttrell, Petty, and Xu (2017) subjected some of those possible limitations to empirical test. They observed that a revised protocol obtained evidence consistent with the original finding that the Many Labs 3 protocol did not. This observe-hypothesize-test sequence is a model for scientific inquiry and critique. To test whether these results advance replicability and knowledge transfer, we conducted direct replications of Luttrell et al. in nine locations (Total N = 1,219). We successfully replicated the interaction of need for cognition and argument quality on persuasion using Luttrell et al.’s optimal design (albeit with a much smaller effect size; p < .001; f2 = .025, 95%CI [.006, .056]) but failed to replicate the interaction that indicated that Luttrell et al.’s optimal protocol performed better than the Many Labs 3 protocol (p = .135, pseudo R2 = .002). Nevertheless, pragmatically, we favor the Luttrell et al. protocol with large samples for future research using this paradigm
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