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Causal map

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146:(DAGs). However the phrase “causal map” is usually reserved for qualitative or merely semi-quantitative maps. In this sense, causal maps can be seen as a type of concept map. Systems diagrams and Fuzzy Cognitive Maps also fall under this definition. Causal maps have been used since the 1970’s by researchers and practitioners in a range of disciplines from management science to ecology,  employing a variety of methods. They are used for many purposes, for example: 214:
one of the causes 1 and 2 can be true, i.e. both cannot be true simultaneously. The Inclusive (at least one) constraint states that at least one of the causes 1, 2 or 3 must be true, i.e. all cannot be false simultaneously. The one and only one (OaOO or simply O) constraint states that only one of the causes 1, 2 or 3 must be true. The Requires constraint states that if cause 1 is true, then cause 2 must be true, and it is impossible for 1 to be true and 2 to be false.
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field theorists. Causal mapping in this sense is loosely based on "concept mapping" and “cognitive mapping”, and sometimes the three terms are used interchangeably, though the latter two are usually understood to be broader, including maps in which the links between factors are not necessarily causal and are therefore not causal maps.
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Constraints may be added to the causes and effects. These are represented as edges labeled with the constraint symbol using a dashed line. For causes, valid constraint symbols are E (exclusive), O (one and only one), I (at least one), and R (Requires). The exclusive constraint states that at most
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that maps a set of causes to a set of effects. The causes may be thought of as the input to the program, and the effects may be thought of as the output. Usually the graph shows the nodes representing the causes on the left side and the nodes representing the effects on the right side. There may
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The phrase “causal mapping” goes back at least to Robert Axelrod, based in turn on Kelly’s personal construct theory . The idea of wanting to understand the behaviour of actors in terms of internal ‘maps’ of the word which they carry around with them goes back further, to Kurt Lewin and the
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Causal mapping is the process of constructing, summarising and drawing inferences from a causal map, and more broadly can refer to sets of techniques for doing this. While one group of such methods is actually called “causal mapping”, there are many similar methods which go by a wide variety of
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Different kinds of causal maps can be distinguished particularly by the kind of information which can be encoded by the links and nodes. One important distinction is to what extent the links are intended to encode causation or (somebody’s) belief about causation.
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For effects, valid constraint symbol is M (Mask). The mask constraint states that if effect 1 is true then effect 2 is false. Note that the mask constraint relates to the effects and not the causes like the other constraints.
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This definition could cover diagrams representing causal connections between variables which are measured in a strictly quantitative way and would therefore also include closely related statistical models like
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can be defined as a network consisting of links or arcs between nodes or factors, such that a link between C and E means, in some sense, that someone believes or claims C has or had some causal influence on E.
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Literature on the theory and practice of causal mapping includes a few canonical works as well as book-length interdisciplinary overviews, and guides to particular approaches.
523: 706:"Generating credible evidence of social impact using the Qualitative Impact Protocol (QuIP): the challenge of positionality in data coding and analysis" 705: 447:
Moon, Katie; Guerrero, Angela M.; Adams, Vanessa. M.; Biggs, Duan; Blackman, Deborah A.; Craven, Luke; Dickinson, Helen; Ross, Helen (2019-03-07).
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As a way to encode the separate views of many different respondents on “what causes what” in a subject area
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As tools to investigate the differences in how different subjects view causal links in a subject area
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The graph can always be rearranged so there is only one node between any input and any output. See
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As tools to form and represent a consensus of expert views on “what causes what” in a subject area
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be intermediate nodes in between that combine inputs using logical operators such as AND and OR.
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To represent “theories of change” and “program theory” in project management and evaluation
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Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological Review, 55(4), 189.
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Investment and tithing in Thai villages: a behavioral study of rural modernization
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Part of a causal map showing how Factor B causally influences Factor C
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Structure of Decision : the Cognitive Maps of Political Elites
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Clogg, Clifford C.; Bollen, Kenneth A.; Long, J. Scott (1993).
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A network consisting of links or arcs between nodes or factors
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Systems Approaches to Managing Change: A Practical Guide
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A cause–effect graph is useful for generating a reduced
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Causal Mapping for Research in Information Technology
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Narayanan, V.K.; Armstrong, Deborah J., eds. (2005).
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Powell, S; Remnant, F; Avard, R; Goddard, S (2021).
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Bougon, Michel; Weick, Karl; Binkhorst, Din (1977).
49:. Unsourced material may be challenged and removed. 974: 620:Barbrook-Johnson, Pete; Penn, Alexandra (2021). 224:Causes --> intermediate nodes --> Effects 340:Journal of the American Statistical Association 153:As tools to understand how decisions are made 669:Laukkanen, Mauri; Wang, Mingde (2016-03-03). 577:Reynolds, Martin; Holwell, Sue, eds. (2010). 150:As sketch diagrams to summarise causal links 8: 522:: CS1 maint: multiple names: authors list ( 637: 474: 464: 351: 109:Learn how and when to remove this message 120: 279: 860:Lewin, K. (1982). Force field analysis 828:Personality and Individual Differences 722: 711: 515: 156:As tools to assist strategic planning 221:The graph's direction is as follows: 7: 537: 535: 533: 289:"Testing Structural Equation Models" 47:adding citations to reliable sources 14: 704:Copestake, J; Remnant, F (2019). 406:Administrative Science Quarterly 23: 334:Pearl, J; Mackenzie, D (2018). 252:List of Causal Mapping Software 34:needs additional citations for 548:. Princeton University Press. 1: 362:10.1080/01621459.2020.1721245 897:10.1016/0024-6301(91)90132-8 840:10.1016/0191-8869(81)90099-4 977:The Art of Software Testing 973:Myers, Glenford J. (1979). 881:"Mapping strategic thought" 1028: 672:Comparative Causal Mapping 140:Structural Equation Models 981:. John Wiley & Sons. 955:"Guide to Causal Mapping" 930:10.4018/978-1-59140-396-8 790:Theory-driven evaluations 787:Huey-Tsyh., Chen (1990). 597:10.1007/978-1-84882-809-4 758:10.1177/1356389004043124 639:10.1177/1356389020976153 542:Robert, Axelrod (1976). 498:Alan., Murray, Charles. 233:disjunctive normal form 229:conjunctive normal form 144:Directed Acyclic Graphs 721:Cite journal requires 126: 1012:Graph data structures 793:. Sage Publications. 740:Davies, Rick (2004). 681:10.4324/9781315573038 476:1959.4/unsworks_67278 124: 453:Conservation Letters 43:improve this article 885:Long Range Planning 589:2010satm.book.....R 879:Huff, A.S (1990). 466:10.1111/conl.12642 203:cause–effect graph 193:Cause–effect graph 127: 939:978-1-59140-396-8 822:Kelly, G (1955). 606:978-1-84882-808-7 555:978-1-4008-7195-7 268:Why–because graph 119: 118: 111: 93: 1019: 992: 980: 959: 958: 950: 944: 943: 915: 909: 908: 876: 870: 867: 861: 858: 852: 851: 819: 813: 812: 784: 778: 777: 737: 731: 730: 724: 719: 717: 709: 701: 695: 694: 666: 660: 659: 641: 617: 611: 610: 574: 568: 567: 539: 528: 527: 521: 513: 495: 489: 488: 478: 468: 444: 438: 437: 397: 391: 388: 382: 381: 355: 346:(529): 482–485. 331: 325: 324: 284: 199:software testing 114: 107: 103: 100: 94: 92: 51: 27: 19: 1027: 1026: 1022: 1021: 1020: 1018: 1017: 1016: 1007:Causal diagrams 997: 996: 995: 989: 972: 968: 966:Further reading 963: 962: 952: 951: 947: 940: 917: 916: 912: 878: 877: 873: 868: 864: 859: 855: 821: 820: 816: 801: 786: 785: 781: 739: 738: 734: 720: 710: 703: 702: 698: 691: 668: 667: 663: 619: 618: 614: 607: 576: 575: 571: 556: 541: 540: 531: 514: 497: 496: 492: 446: 445: 441: 418:10.2307/2392403 399: 398: 394: 389: 385: 333: 332: 328: 305:10.2307/2580595 286: 285: 281: 276: 248: 225: 195: 179: 115: 104: 98: 95: 52: 50: 40: 28: 17: 12: 11: 5: 1025: 1023: 1015: 1014: 1009: 999: 998: 994: 993: 987: 969: 967: 964: 961: 960: 945: 938: 924:. IGI Global. 910: 871: 862: 853: 814: 799: 779: 752:(1): 101–121. 732: 723:|journal= 696: 689: 661: 612: 605: 569: 554: 529: 490: 439: 392: 383: 326: 278: 277: 275: 272: 271: 270: 265: 263:Decision table 260: 258:Causal diagram 247: 244: 240:decision table 223: 207:directed graph 194: 191: 178: 177:Causal mapping 175: 170: 169: 166: 163: 160: 157: 154: 151: 117: 116: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 1024: 1013: 1010: 1008: 1005: 1004: 1002: 990: 988:0-471-04328-1 984: 979: 978: 971: 970: 965: 956: 949: 946: 941: 935: 931: 927: 923: 922: 914: 911: 906: 902: 898: 894: 890: 886: 882: 875: 872: 866: 863: 857: 854: 849: 845: 841: 837: 833: 829: 825: 818: 815: 810: 806: 802: 800:0-8039-3532-3 796: 792: 791: 783: 780: 775: 771: 767: 763: 759: 755: 751: 747: 743: 736: 733: 728: 715: 707: 700: 697: 692: 690:9781315573038 686: 682: 678: 674: 673: 665: 662: 657: 653: 649: 645: 640: 635: 631: 627: 623: 616: 613: 608: 602: 598: 594: 590: 586: 582: 581: 573: 570: 565: 561: 557: 551: 547: 546: 538: 536: 534: 530: 525: 519: 511: 507: 503: 502: 494: 491: 486: 482: 477: 472: 467: 462: 458: 454: 450: 443: 440: 435: 431: 427: 423: 419: 415: 411: 407: 403: 396: 393: 387: 384: 379: 375: 371: 367: 363: 359: 354: 349: 345: 341: 337: 330: 327: 322: 318: 314: 310: 306: 302: 298: 294: 293:Social Forces 290: 283: 280: 273: 269: 266: 264: 261: 259: 256: 255: 254: 253: 245: 243: 241: 236: 234: 230: 222: 219: 215: 211: 208: 204: 200: 192: 190: 187: 183: 176: 174: 167: 164: 161: 158: 155: 152: 149: 148: 147: 145: 141: 135: 132: 123: 113: 110: 102: 91: 88: 84: 81: 77: 74: 70: 67: 63: 60: â€“  59: 55: 54:Find sources: 48: 44: 38: 37: 32:This article 30: 26: 21: 20: 976: 948: 920: 913: 888: 884: 874: 865: 856: 831: 827: 817: 789: 782: 749: 745: 735: 714:cite journal 699: 671: 664: 632:(1): 57–79. 629: 625: 615: 579: 572: 544: 500: 493: 456: 452: 442: 409: 405: 395: 386: 343: 339: 329: 296: 292: 282: 249: 237: 226: 220: 216: 212: 202: 196: 188: 184: 180: 171: 136: 130: 128: 105: 96: 86: 79: 72: 65: 58:"Causal map" 53: 41:Please help 36:verification 33: 390:Kosko, 1986 299:(3): 1161. 1001:Categories 891:(2): 123. 834:(4): 356. 746:Evaluation 626:Evaluation 412:(4): 606. 353:2003.11635 274:References 131:causal map 69:newspapers 905:0024-6301 848:0191-8869 809:611218200 766:1356-3890 656:231624497 648:1356-3890 564:949946348 518:cite book 485:1755-263X 426:0001-8392 378:213366968 370:0162-1459 313:0037-7732 774:62169076 510:24819834 246:See also 99:May 2021 585:Bibcode 434:2392403 321:2580595 182:names. 83:scholar 985:  936:  903:  846:  807:  797:  772:  764:  687:  654:  646:  603:  562:  552:  508:  483:  432:  424:  376:  368:  319:  311:  85:  78:  71:  64:  56:  770:S2CID 652:S2CID 459:(3). 430:JSTOR 374:S2CID 348:arXiv 317:JSTOR 205:is a 90:JSTOR 76:books 983:ISBN 934:ISBN 901:ISSN 844:ISSN 805:OCLC 795:ISBN 762:ISSN 727:help 685:ISBN 644:ISSN 601:ISBN 560:OCLC 550:ISBN 524:link 506:OCLC 481:ISSN 422:ISSN 366:ISSN 309:ISSN 231:and 201:, a 142:and 62:news 926:doi 893:doi 836:doi 754:doi 677:doi 634:doi 593:doi 471:hdl 461:doi 414:doi 358:doi 344:115 301:doi 197:In 45:by 1003:: 932:. 899:. 889:24 887:. 883:. 842:. 830:. 826:. 803:. 768:. 760:. 750:10 748:. 744:. 718:: 716:}} 712:{{ 683:. 675:. 650:. 642:. 630:27 628:. 624:. 599:. 591:. 583:. 558:. 532:^ 520:}} 516:{{ 504:. 479:. 469:. 457:12 455:. 451:. 428:. 420:. 410:22 408:. 404:. 372:. 364:. 356:. 342:. 338:. 315:. 307:. 297:73 295:. 291:. 250:• 242:. 235:. 129:A 991:. 957:. 942:. 928:: 907:. 895:: 850:. 838:: 832:2 811:. 776:. 756:: 729:) 725:( 708:. 693:. 679:: 658:. 636:: 609:. 595:: 587:: 566:. 526:) 512:. 487:. 473:: 463:: 436:. 416:: 380:. 360:: 350:: 323:. 303:: 112:) 106:( 101:) 97:( 87:¡ 80:¡ 73:¡ 66:¡ 39:.

Index


verification
improve this article
adding citations to reliable sources
"Causal map"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
part of a causal map showing how Factor B causally influences Factor C
Structural Equation Models
Directed Acyclic Graphs
software testing
directed graph
conjunctive normal form
disjunctive normal form
decision table
List of Causal Mapping Software
Causal diagram
Decision table
Why–because graph
"Testing Structural Equation Models"
doi
10.2307/2580595
ISSN
0037-7732
JSTOR
2580595

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