MARC details
| 000 -LEADER |
| fixed length control field |
04265nam a2200361 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
8218 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
BD-DhEWU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20180212160126.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
180212s2016 caua g b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781473913233 (pbk) |
|
| International Standard Book Number |
1473913233 |
|
| International Standard Book Number |
9781473913226 (hb) |
| 035 ## - SYSTEM CONTROL NUMBER |
| System control number |
(OCLC)993043663 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
BD-DhEWU |
| 041 ## - LANGUAGE CODE |
| Language code of text/sound track or separate title |
eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
519.50285 |
| Item number |
MEA 2017 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Mehmetoglu, Mehmet. |
| 9 (RLIN) |
22021 |
| 245 10 - TITLE STATEMENT |
| Title |
Applied statistics using stata / |
| Statement of responsibility, etc |
Mehmet Mehmetoglu and Tor Georg Jakobsen. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Thousand Oaks : |
| Name of publisher, distributor, etc |
SAGE Publications, |
| Date of publication, distribution, etc |
2017. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xvi, 356 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index |
| 505 ## - FORMATTED CONTENTS NOTE |
| Title |
TOC |
| Formatted contents note |
Research and statistics 1.1 The methodology of statistical research 1.2 The statistical method 1.3 The logic behind statistical inference 1.4 General laws and theories 1.5 Quantitative research papers2. Introduction to Stata 2.1 What is Stata? 2.2 Entering and importing data into Stata 2.3 Data management 2.4 Descriptive statistics and graphs 2.5 Bivariate inferential statistics3. Simple (bivariate) regression 3.1 What is regression analysis? 3.2 Simple linear regression analysis 3.3 Example in Stata4. Multiple regression 4.1 Multiple linear regression analysis 4.2 Example in Stata5. Dummy-Variable Regression 5.1 Why dummy-variable regression? 5.2 Regression with one dummy variable 5.3 Regression with one dummy variable and a covariate 5.4 Regression with more than one dummy variable 5.5 Regression with more than one dummy variable and a covariate 5.6 Regression with two separate sets of dummy variables6. Interaction/moderation effects using regression 6.1 Interaction/moderation effect 6.2 Product-term approach7. Linear regression assumptions and diagnostics 7.1 Correct specification of the model 7.2 Assumptions about residuals 7.3 Influential observations8. Logistic regression 8.1 What is logistic regression? 8.2 Assumptions of logistic regression 8.3 Conditional effects 8.4 Diagnostics 8.5 Multinomial logistic regression 8.6 Ordered logistic regression9. Multilevel analysis 9.1 Multilevel data 9.2 Empty or intercept-only model 9.3 Variance partition / intraclass correlation 9.4 Random intercept model 9.5 Level-2 explanatory variables 9.6 Logistic multilevel model 9.7 Random coefficient (slope) model 9.8 Interaction effects 9.9 Three-level models10. Panel data analysis 10.1 Panel data 10.2 Pooled OLS 10.3 Between effects 10.4 Fixed effects (within estimator) 10.5 Random effects 10.6 Time-series cross-section methods 10.7 Binary dependent variables11. Exploratory factor analysis 11.1 What is factor analysis? 11.2 Factor analysis process 11.3 Composite scores and reliability test 11.4 Example in Stata12. Structural equation modelling and confirmatory factor analysis 12.1 What is structural equation modelling? 12.2 Confirmatory factor analysis 12.3 Latent path analysis13. Critical issues 13.1 Transformation of variables 13.2 Weighting cases 13.3 Robust regression 13.4 Missing data |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
<br/>Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. -- |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
| Program name |
Economics |
| -- |
AS |
| 590 ## - LOCAL NOTE (RLIN) |
| Local note |
Sagar Shahanawaz |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Statistics |
| General subdivision |
Data processing. |
| 9 (RLIN) |
22022 |
|
| Topical term or geographic name as entry element |
Social sciences |
| General subdivision |
Statistical methods. |
| 9 (RLIN) |
21237 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Jakobsen, Tor Georg . |
| 9 (RLIN) |
22023 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
| Materials specified |
WorldCat details |
| Uniform Resource Identifier |
https://www.worldcat.org/title/applied-statistics-using-stata-a-guide-for-the-social-sciences/oclc/993043663&referer=brief_results |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Text |