Replication Data for: Measuring Institutional Variation Across American Indian Constitutions Using Automated Content Analysis (doi:10.7910/DVN/C7W8WQ)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication Data for: Measuring Institutional Variation Across American Indian Constitutions Using Automated Content Analysis

Identification Number:

doi:10.7910/DVN/C7W8WQ

Distributor:

Harvard Dataverse

Date of Distribution:

2020-11-25

Version:

1

Bibliographic Citation:

Cordell, Rebecca, Kristian Skrede Gleditsch, Florian G. Kern and Laura M. Saavedra-Lux, 2020, "Replication Data for: Measuring Institutional Variation Across American Indian Constitutions Using Automated Content Analysis", https://doi.org/10.7910/DVN/C7W8WQ, Harvard Dataverse, V1, UNF:6:wdNY22hLEXk8gQd277sV8Q== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Measuring Institutional Variation Across American Indian Constitutions Using Automated Content Analysis

Identification Number:

doi:10.7910/DVN/C7W8WQ

Authoring Entity:

Cordell, Rebecca, Kristian Skrede Gleditsch, Florian G. Kern and Laura M. Saavedra-Lux (University of Texas at Dallas)

Distributor:

Harvard Dataverse

Access Authority:

Cordell, Rebecca

Depositor:

Cordell, Rebecca

Date of Deposit:

2020-11-25

Holdings Information:

https://doi.org/10.7910/DVN/C7W8WQ

Study Scope

Keywords:

Social Sciences

Abstract:

Effectively measuring variation in institutions over time and across jurisdictions is important for examining how institutional characteristics shape political, social, and economic issues. We present a new dataset of American Indian and Alaska Native (AIAN) constitutions and a new approach for measuring variation in polities using machine learning techniques. Existing data on AIAN institutions have largely been based on costly and time-consuming expert coding and survey approaches, where the end product will become obsolete once institutions change. Our automated content analysis of AIAN constitutional documents allows for more flexible and customizable measurement of the variation, using a larger corpus of data than existing approaches, limited by data collection and coding costs. We consider variation in judicial institutions, previously shown to play a crucial role in AIAN development, and compare our machine coded measures to existing hand coded data for a sample of 97 American Indian constitutions. We show that machine coding replicates expert coded data. Our approach can be easily extended to other topics, including the executive, and shows the potential of automated measures to complement or confirm traditional coding of political institutions.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

File Description--f4194720

File: constitutions.tab

  • Number of cases: 97

  • No. of variables per record: 26

  • Type of File: text/tab-separated-values

Notes:

UNF:6:wdNY22hLEXk8gQd277sV8Q==

Variable Description

List of Variables:

Variables

doc.id

f4194720 Location:

Variable Format: character

Notes: UNF:6:1WmCQNsB2JH6FtIB7vC0Ag==

doc.name

f4194720 Location:

Variable Format: character

Notes: UNF:6:DhWwVMfNpsij65GlRW0tRQ==

tribe

f4194720 Location:

Variable Format: character

Notes: UNF:6:vgwU0AlSo4CPy0OtlNjtuQ==

year

f4194720 Location:

Summary Statistics: StDev 22.47607070409622; Max. 2010.0; Mean 1985.8453608247423; Valid 97.0; Min. 1935.0

Variable Format: numeric

Notes: UNF:6:Upkq5ddSoaBb4mjK87qI/Q==

decade

f4194720 Location:

Variable Format: character

Notes: UNF:6:08bx4L3Elll4CJSzxHddKg==

const.clean.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:8RtjArV4d4HBZJkZqR38wQ==

judiciary.sect.clean.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:HEbd7MYzeRBDxvBT0/otvA==

const.dict.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:0lpDIsdUBroHN5vycPh88A==

judiciary.sect.dict.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:EyFnBCogiepNyCCJlc6fJQ==

const.sml.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:DN8X/NGbiJG8ej0YqN1oLQ==

judiciary.sect.sml.text

f4194720 Location:

Variable Format: character

Notes: UNF:6:mkf2CbJqy8bLIUBUx+UnPg==

const.overlap.ck

f4194720 Location:

Summary Statistics: Valid 97.0; StDev 0.49067769952484735; Mean 0.3917525773195877; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:uZVXLW0fAxDUbqWeBomrGg==

const.words

f4194720 Location:

Summary Statistics: Max. 18406.0; Mean 5409.6082474226805; Valid 97.0; Min. 1423.0; StDev 2181.171429132659

Variable Format: numeric

Notes: UNF:6:fpL1DUMR0GwBhLh7oCWqEw==

judiciary.sect.words

f4194720 Location:

Summary Statistics: Mean 230.85567010309282; Min. 0.0; Valid 97.0; StDev 340.125650486047; Max. 1766.0;

Variable Format: numeric

Notes: UNF:6:42odpXliS3WCfm5eosP/cA==

judiciary.dict.words

f4194720 Location:

Summary Statistics: Mean 56.670103092783506; Min. 8.0; Valid 97.0; Max. 286.0; StDev 48.29352994309136;

Variable Format: numeric

Notes: UNF:6:GsNJa43RxMaTMmoSYuM4Kw==

independ.dict.words

f4194720 Location:

Summary Statistics: Min. 0.0; StDev 15.130694946143901; Mean 9.453608247422682; Max. 93.0; Valid 97.0

Variable Format: numeric

Notes: UNF:6:LoYsrzlLWSnm5EvL87WBAA==

judiciary.ck

f4194720 Location:

Summary Statistics: StDev 0.369537021476632; Max. 1.0; Min. 0.0; Valid 38.0; Mean 0.8421052631578947;

Variable Format: numeric

Notes: UNF:6:6yHtn2dfTZq4kvvZ3Zpibw==

independ.ck

f4194720 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 38.0; StDev 0.3425699874501045; Mean 0.13157894736842107

Variable Format: numeric

Notes: UNF:6:/t9Ulpis+lfczm/4AjwlCA==

judiciary.repl.dict

f4194720 Location:

Summary Statistics: Valid 97.0; Mean 0.9072164948453609; Min. 0.0; Max. 1.0; StDev 0.29163598267661106

Variable Format: numeric

Notes: UNF:6:NdVB63yJ8HhhP+hNWUK2gw==

independ.repl.dict

f4194720 Location:

Summary Statistics: StDev 0.2421446274823308; Valid 97.0; Min. 0.0; Mean 0.061855670103092786; Max. 1.0

Variable Format: numeric

Notes: UNF:6:cx4pNQ0cVC00NiYoyC54CA==

judiciary.repl.sml.logistic

f4194720 Location:

Summary Statistics: StDev 0.29163598267661095; Valid 97.0; Max. 1.0; Mean 0.9072164948453608; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:U/vTz2bpugr2DU4r/Zfl8w==

judiciary.repl.sml.nb

f4194720 Location:

Summary Statistics: Mean 1.0; Min. 1.0; Valid 97.0; Max. 1.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:iua5Ckkk0GYxixbJAx/y5w==

judiciary.repl.sml.svm

f4194720 Location:

Summary Statistics: Max. 1.0; StDev 0.4275218287869605; Valid 97.0; Min. 0.0; Mean 0.7628865979381443;

Variable Format: numeric

Notes: UNF:6:EJCHGtgmI6FRJmYLn0MZ2Q==

independ.repl.sml.logistic

f4194720 Location:

Summary Statistics: Min. 0.0; Mean 0.07216494845360827; Valid 97.0; StDev 0.26010505411325224; Max. 1.0

Variable Format: numeric

Notes: UNF:6:OiwR3Ic8gVdIzKbZYH4zjQ==

independ.repl.sml.nb

f4194720 Location:

Summary Statistics: Valid 97.0; Max. 1.0; Min. 0.0; StDev 0.10153461651336176; Mean 0.010309278350515462

Variable Format: numeric

Notes: UNF:6:GsQtrxO92vI2aU/AZkM0fg==

independ.repl.sml.svm

f4194720 Location:

Summary Statistics: StDev 0.1428418008453007; Max. 1.0; Mean 0.020618556701030917; Valid 97.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:h6bWAsALS61wnw4q2N8xvQ==

Other Study-Related Materials

Label:

CordellGleditschKernSaavedra-Lux-MeasuringInstitutionalVariation.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

readme.txt

Notes:

text/plain