Statistics for linguistics with R: a practical introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
de Gruyter Mouton
2013
|
| Ausgabe: | 2., rev. ed. |
| Schriftenreihe: | De Gruyter Mouton textbook
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis Klappentext |
| Beschreibung: | XIII, 359 S. graph. Darst. |
| ISBN: | 3110307286 9783110307283 |
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| 100 | 1 | |a Gries, Stefan Thomas |d 1970- |e Verfasser |0 (DE-588)131571222 |4 aut | |
| 245 | 1 | 0 | |a Statistics for linguistics with R |b a practical introduction |c by Stefan Th. Gries |
| 250 | |a 2., rev. ed. | ||
| 264 | 1 | |a Berlin [u.a.] |b de Gruyter Mouton |c 2013 | |
| 300 | |a XIII, 359 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
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Datensatz im Suchindex
| _version_ | 1807955652646010880 |
|---|---|
| adam_text |
Contents
Preface
.
v
Chapter
1
Some fundamentals of empirical research
.1
1.
Introduction
.1
2.
On the relevance of quantitative methods in linguistics
.3
3.
The design and the logic of quantitative studies
.7
3.1.
Scouting
.8
3.2.
Hypotheses and operationalization
.10
3.2.1.
Scientific hypotheses in text form
.10
3.2.2.
Operationalizing your variables
.15
3.2.3.
Scientific hypotheses in statistical/mathematical form
.18
3.3.
Data collection and storage
.20
3.4.
The decision
.26
3.4.1.
One-tailedp-values from discrete probability distributions
.29
3.4.2.
Two-tailedp-values from discrete probability distributions
.34
3.4.3.
Extension: continuous probability distributions
.41
4.
The design of a factorial experiment: introduction
.46
5.
The design of a factorial experiment: another example
.52
Chapter
2
Fundamentals of
R
.56
1.
Introduction and installation
.56
2.
Functions and arguments
.,.60
3.
Vectors
.64
3.1.
Generating vectors
.64
3.2.
Loading and saving vectors
.69
3.3.
Editing vectors
.72
4.
Factors
.79
4.1.
Generating factors
.79
4.2.
Loading and saving factors
.80
4.3.
Editing factors
.81
5.
Data frames
.84
5.1.
Generating data frames
.84
5.2.
Loading and saving data frames
.86
χ
Contents
5.3.
Editing data frames
.88
6.
Some programming: conditionals and loops
.94
6.1.
Conditional expressions
.94
6.2.
Loops
.95
7.
Writing your own little functions
.97
Chapter
3
Descriptive statistics
.102
Univariate statistics
.102
.1.
Frequency data
.102
.1.1.
Scatterplots and line plots
.104
.1.2.
Pie charts
.108
.1.3.
Bar plots
.109
.1.4.
Pareto-charts
.111
.1.5.
Histograms
.112
.1.6
Empirical cumulative distributions
.114
.2.
Measures of central tendency
.115
.2.1.
The mode
.115
.2.2.
The median
.116
.2.3.
The arithmetic mean
.116
.2.4.
The geometric mean
.117
.3.
Measures of dispersion
.119
.3.1.
Relative entropy
.120
1.3.2.
The range
.121
1.3.3.
Quantiles and quartiles
.122
1.3.4.
The average deviation
.123
1.3.5.
The standard deviation/variance
.124
1.3.6.
The variation coefficient
.125
1.3.7.
Summary functions
.126
1.3.8.
The standard error
.128
1.4.
Centering and standardization (z-scores)
.130
1.5.
Confidence intervals
.132
1.5.1.
Confidence intervals of arithmetic means
.133
1.5.2.
Confidence intervals of percentages
.134
2.
Bivariate statistics
.136
2.1.
Frequencies and crosstabulation
.136
2.1.1.
Bar plots and mosaic plots
.137
2.1.2.
Spineplots
.138
2.1.3.
Line plots
.139
Contents xi
2.2.
Means
.140
2.2.1. Boxplots.141
2.2.2.
Interaction plots
.143
2.3.
Coefficients of correlation and linear regression
.147
Chapter
4
Analytical statistics
.157
Distributions and frequencies
.162
.1.
Distribution fitting
.162
.1.1.
One
dep.
variable (ratio-scaled)
.162
.1.2.
One
dep.
variable (nominal/categorical)
.165
.2.
Tests for differences/independence
. 172
1.2.1.
One
dep.
variable (ordinal/interval/ratio scaled) and one
indep. variable (nominal) (indep. samples)
.172
1.2.2.
One
dep.
variable (nom./cat.) and one indep. variable
(nom./cat.) (indep.samples)
. 178
1.2.3.
One
dep.
variable (nom./cat.)
(dep.
samples)
.192
2.
Dispersions
.195
2.
1
.
Goodness-of-fit test for one
dep.
variable (ratio-scaled)
.197
2.2.
One
dep.
variable (ratio-scaled) and one indep.
variable
(nom.)
.199
3.
Means
.205
3.1.
Goodness-of-fit tests
.205
3.1.1.
One
dep.
variable (ratio-scaled)
.205
3.1.2.
One
dep.
variable (ordinal)
.209
3.2.
Tests for differences/independence
.215
3.2.1.
One
dep.
variable (ratio-scaled) and one indep. variable
(nom.)
(indep. samples)
.215
3.2.2.
One
dep.
variable (ratio-scaled) and one indep. variable
(nom.) (dep.
samples)
.221
3.2.3.
One
dep.
variable (ordinal) and one indep. variable
(nom.)
(indep. samples)
.227
3.2.4.
One
dep.
variable (ordinal) and one indep. variable
(nom.) (dep.
samples)
.234
4.
Coefficients of correlation and linear regression
.238
4.1.
The significance of the product-moment correlation
.238
4.2.
The significance of
Kendalľs
Tau.243
4.3.
Correlation and causality
.245
xii Contents
Chapter
5
Selected multifactorial and multivariate methods
.247
1. The notions of interaction and model (selection)
.247
1.1.
Interactions
.247
1.2.
Model (selection)
.253
1.2.1.
Formulating the first model
.253
1.2.2.
Selecting a final model
.259
2.
Linear models
.261
2.1.
A Hnear model with a binary predictor
.264
2.2.
A linear model with a categorical predictor
.271
2.3.
A Hnear model with a numeric predictor
.275
2.4.
A linear model with two categorical predictors
.276
2.5.
A linear model with a categorical and a numeric predictor
. 280
2.6.
A linear model with two numeric predictors
.282
2.7.
A linear model selection process with multiple
predictors
.285
3.
Binary logistic regression models
.293
3.1.
A logistic regression with a binary predictor
.296
3.2.
A logistic regression with a categorical predictor
.304
3.3.
A logistic regression with a numeric predictor
.306
3.4.
A logistic regression with two categorical predictors
.308
3.5.
A logistic regression with a categorical and
a numeric predictor
.310
3.6.
A logistic regression with two numeric predictors
.311
4.
Other regression models
.316
4.1.
An ordinal logistic regression with a categorical and a
numeric predictor
.317
4.2.
A multinomial regression with a categorical and a
numeric predictor
.322
4.3.
A Poisson/count regression with a categorical and a
numeric predictor
.324
5.
Repeated measurements: a primer
.327
5.1.
One independent variable nested into subjects/items
.329
5.2.
Two independent variables nested into subjects/items
.331
5.3.
Two independent variables, one between, one within
subjects/items
.332
5.4.
Mixed-effects
/
multi-level models
.333
6.
Hierarchical agglomerative cluster analysis
.336
Contents xiii
Chapter
6
Epilog.350
References
.353
This book is the revised and extended second edition of Statistics for
Linguistics with jR. The comprehensive revision includes new small
sections on programming topics that facilitate statistical analysis, the
addition of a variety of statistical functions readers can apply to their own
data, a revision of overview sections on statistical tests and regression
modeling, a complete rewrite of the chapter on multif actor ial approaches,
which now contains sections on linear regression, binary and ordinal
logistic regression, multinomial and
Poisson
regression, and repeated-
measures
ANO VA,
and a new visual tool to identify the right statistical
test
for a
given problem and data set. The revisions are rounded off with
a new visual tool to identify the right statistical test for a given problem
and data set.
►
Preserves the critically appraised features of the first edition: think
breaks, recommendations for further study as well as many exercises
and complete answer keys for all exercises from the companion website
and newsgroup
►
Requires no prior background in statistics and presupposes only
elementary linguistic knowledge
►
Explicit step-by-step and identically organized explanations of all
methods and their results (in particular in the new regressions chapter)
►
Suitable both for adoption in one- or two-semester courses or for self-
study g |
| any_adam_object | 1 |
| author | Gries, Stefan Thomas 1970- |
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| bvnumber | BV040942768 |
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| ctrlnum | (OCoLC)839958562 (DE-599)DNB102671446X |
| dewey-full | 410.188 410.151 |
| dewey-hundreds | 400 - Language |
| dewey-ones | 410 - Linguistics |
| dewey-raw | 410.188 410.151 |
| dewey-search | 410.188 410.151 |
| dewey-sort | 3410.188 |
| dewey-tens | 410 - Linguistics |
| discipline | Sprachwissenschaft Informatik Literaturwissenschaft |
| edition | 2., rev. ed. |
| format | Book |
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| id | DE-604.BV040942768 |
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| indexdate | 2024-08-21T00:41:10Z |
| institution | BVB |
| isbn | 3110307286 9783110307283 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025921494 |
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| spelling | Gries, Stefan Thomas 1970- Verfasser (DE-588)131571222 aut Statistics for linguistics with R a practical introduction by Stefan Th. Gries 2., rev. ed. Berlin [u.a.] de Gruyter Mouton 2013 XIII, 359 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier De Gruyter Mouton textbook R Programm (DE-588)4705956-4 gnd rswk-swf Sprachstatistik (DE-588)4182534-2 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Sprachstatistik (DE-588)4182534-2 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe 978-3-11-030747-4 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4158951&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025921494&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025921494&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Gries, Stefan Thomas 1970- Statistics for linguistics with R a practical introduction R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4182534-2 (DE-588)4123623-3 |
| title | Statistics for linguistics with R a practical introduction |
| title_auth | Statistics for linguistics with R a practical introduction |
| title_exact_search | Statistics for linguistics with R a practical introduction |
| title_full | Statistics for linguistics with R a practical introduction by Stefan Th. Gries |
| title_fullStr | Statistics for linguistics with R a practical introduction by Stefan Th. Gries |
| title_full_unstemmed | Statistics for linguistics with R a practical introduction by Stefan Th. Gries |
| title_short | Statistics for linguistics with R |
| title_sort | statistics for linguistics with r a practical introduction |
| title_sub | a practical introduction |
| topic | R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd |
| topic_facet | R Programm Sprachstatistik Lehrbuch |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=4158951&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025921494&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025921494&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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