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020 _a9780387276045
_9978-0-387-27604-5
024 7 _a10.1007/0387276041
_2doi
035 _avtls000330430
039 9 _a201509030201
_bVLOAD
_c201404120442
_dVLOAD
_c201404090224
_dVLOAD
_c201401311340
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050 4 _aQA276-280
100 1 _aGerber, Susan B.
_eautor
_9301867
245 1 0 _aUsing SPSS For Windows :
_bData Analysis and Graphics /
_cby Susan B. Gerber, Kristin Voelkl Finn.
250 _aSecond Edition.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _aXII, 228 páginas, 105 illus.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aThe Nature of SPSS -- Summarizing Data Graphically -- Summarizing Data Numerically: Measures of Central Tendency -- Summarizing Data Numerically: Measures of Variability -- Summarizing Multivariate Data: Association Between Numerical Variables -- Summarizing Multivariate Data: Association Between Categorical Variables -- Basic Ideas of Probability -- Probability Distributions -- Sampling Distributions -- Answering Questions About Population Characteristics -- Differences Between Two Populations -- Inference on Categorical Data -- Regression Analysis: Inference on Two or More Numerical Variables -- ANOVA: Comparisons of Several Populations -- Exploratory Factor Analysis.
520 _aThe second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation. Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFinn, Kristin Voelkl.
_eautor
_9301868
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387400839
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-27604-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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