語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Modern psychometrics with R
~
Mair, Patrick.
Modern psychometrics with R
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Modern psychometrics with R/ by Patrick Mair.
作者:
Mair, Patrick.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xiii, 458 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Psychometrics - Data processing. -
電子資源:
https://doi.org/10.1007/978-3-319-93177-7
ISBN:
9783319931777
Modern psychometrics with R
Mair, Patrick.
Modern psychometrics with R
[electronic resource] /by Patrick Mair. - Cham :Springer International Publishing :2018. - xiii, 458 p. :ill. (some col.), digital ;24 cm. - Use R!,2197-5736. - Use R!..
Classical Test Theory -- Factor Analysis -- Path Analysis and Structural Equation Models -- Item Response Theory -- Preference Modeling -- Principal Component Analysis and Extensions -- Correspondence Analysis -- Gifi Methods -- Multidimensional Scaling -- Biplots -- Networks -- Parametric Cluster Analysis and Mixture Regression -- Modeling Trajectories and Time Series -- Analysis of fMRI Data.
This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
ISBN: 9783319931777
Standard No.: 10.1007/978-3-319-93177-7doiSubjects--Topical Terms:
883713
Psychometrics
--Data processing.
LC Class. No.: BF39.5 / .M357 2018
Dewey Class. No.: 150.15195
Modern psychometrics with R
LDR
:03199nam a2200337 a 4500
001
929197
003
DE-He213
005
20190314171201.0
006
m d
007
cr nn 008maaau
008
190626s2018 gw s 0 eng d
020
$a
9783319931777
$q
(electronic bk.)
020
$a
9783319931753
$q
(paper)
024
7
$a
10.1007/978-3-319-93177-7
$2
doi
035
$a
978-3-319-93177-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
BF39.5
$b
.M357 2018
072
7
$a
JHBC
$2
bicssc
072
7
$a
SOC027000
$2
bisacsh
072
7
$a
JHBC
$2
thema
082
0 4
$a
150.15195
$2
23
090
$a
BF39.5
$b
.M228 2018
100
1
$a
Mair, Patrick.
$3
1072533
245
1 0
$a
Modern psychometrics with R
$h
[electronic resource] /
$c
by Patrick Mair.
260
$a
Cham :
$c
2018.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xiii, 458 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Use R!,
$x
2197-5736
505
0
$a
Classical Test Theory -- Factor Analysis -- Path Analysis and Structural Equation Models -- Item Response Theory -- Preference Modeling -- Principal Component Analysis and Extensions -- Correspondence Analysis -- Gifi Methods -- Multidimensional Scaling -- Biplots -- Networks -- Parametric Cluster Analysis and Mixture Regression -- Modeling Trajectories and Time Series -- Analysis of fMRI Data.
520
$a
This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
650
0
$a
Psychometrics
$x
Data processing.
$3
883713
650
0
$a
R (Computer program language)
$3
679069
650
1 4
$a
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
$3
670129
650
2 4
$a
Psychometrics.
$3
558112
650
2 4
$a
Psychological Methods/Evaluation.
$3
677588
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
669775
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Use R!.
$3
1197575
856
4 0
$u
https://doi.org/10.1007/978-3-319-93177-7
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入