Education and Psychology of quantitative research methods and statistical analysis-SPSS practical guidance

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 260 Publisher: Beijing Normal University Press Pub. Date :2008-12-24. This book combined with my social psychology-based teaching materials. Mr. Zhang Houcan written Modern Psychology and Education Statistics. and prepared by Professor Shu Hua graduate course Psychological and Educational Research multi-factor experimental design materials. and on this basis. highlighting the knowledge of modern development. close contact with computer applications. used to guide students in research design and statistical analysis of data. and includes guidance SPSS application of practical operation guide. Education and Psychology of quantitative research methods and statistical analysis of the features and advantages can be summarized as follows: 1. Research methods and statistical techniques will be combined. 2. The combination of statistical methods and SPSS. especially the content for the education of professional and psychological professional. truly close integration of theory and practice. and to retain English SPSS page showing. easy to guide the practical application. 3. Education and Psychology of quantitative research methods and statistical analysis for educational. psychological. and social science students to conduct independent research has laid a good foundation for our psychology and education as more students as undergraduate research methods course materials used. and The psychology of teaching jobs in colleges and universities and the training of researchers is very important. Contents: The first chapter introduces a science. what is the scientific Second. qualitative and quantitative research Third. the process of scientific research questions and research chapter to prepare one. how to find a research question 2. Literature Review III study ethical issues four. prepare research projects Chapter variables. validity and reliability of a study variable Second. the measurement of validity and reliability of three experimental validity (ExperimentalValidity) Chapter sampling. sample size and data analysis session of one sample (Sampling) Second. the sample size. and performance analysis (SampleSize and PowerAnalysis) Third. the data analysis (DataAnalysis) Chapter designed a study in preparation for study design two independent variables to control three or four design ideas. experimental design of the control (ControlofExperinlentalDesign ) Fifth. study design types (TypesofDesign) Chapter VI test a hypothesis. the basic concepts of hypothesis testing in two. the process of hypothesis testing statistics described in Chapter one. two charts of data. central tendency (Centraltendency) Third. the discrete trend (Dispersion) Fourth. the data distribution (TheDistribution) Chapter VIII of the differences in testing a single sample T-test (OneSampleT-test) two. two-sample T-test (TwosampleT-test) three. Mann-Whitney test four. WilcoXon test five. SPSS example. analysis of variance Chapter one introduces analysis of variance and covariance analysis of two single-factor analysis of variance within subjects (One-waywithin-subjectANOVA) Third. the single factor within subjects analysis of variance Chapter crosstab and chi-square test a . introduced two chi-square test. SPSS Sample Chapter related to one or two Pearson correlation. Spearman rank correlation three. four partial correlation. SPSS Sample Chapter XII simple linear regression (a linear regression) First. what is a simple linear regression two. three basic assumptions of regression analysis. SPSS multiple regression an example of Chapter XIII. multiple regression. two. SPSS logistic regression an example of Chapter XIV. logistic regression. two. three logistic regression models. SPSS sample X chapters multivariate analysis of variance I. Introduction II hypothesis testing three. MANOVA analysis of four. five multivariate analysis of covariance. repeated meas.