Quantitative and statistical research methods [[electronic resource] ] : from hypothesis to results / / William E. Martin, Krista D. Bridgmon

• Record Nr.: UNINA9910452609403321
• Autore: Martin William E (William Eugene), <1948->
• Pubbl/distr/stampa: San Francisco, : Jossey-Bass, 2012
• ISBN: 1-118-23457-X; 1-280-99839-3; 9786613770004; 1-118-22075-7
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (498 p.)
• Collana: Research methods for the social sciences ; ; 42
• Altri autori (Persone): BridgmonKrista D. <1979->
• Disciplina: 150.72/7
• Soggetti: Psychology - Methodology; Social sciences - Methodology; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Quantitative and Statistical Research Methods: From Hypothesis to Results; Contents; Tables and Figures; Preface; Acknowledgments; The Authors; Chapter 1: Introduction and Overview; Review of Foundational Research Concepts; Independent, Dependent, and Extraneous Variables; Scales of Measurement of Variables; Review of Foundational Statistical Information; Measures of Central Tendency; Measures of Variability (Dispersion) of Scores; Variance of the Sample (s2); Standard Deviation of the Sample (s); Coefficient of Variation (C); Visual Representations of a Data Set; The Normal Distribution; Characteristics of the Normal Distribution Descriptive Statistical Applications of the Normal Distribution; Inferential Statistical Applications of the Normal Distribution; Summary; Problem Assignment; Key Terms; Chapter 2: Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process; Hypothesis-Testing Process; Summary; Problem Assignment; Key Terms; Chapter 3: Maximizing Hypothesis Decisions Using Power Analysis; Balance Between Avoiding Type I and Type II Errors; Illustration of Avoiding Making a Type I (Alpha) Error; Illustration of Avoiding Making a Type II ; (Alpha) Error; A Priori Power Analysis Summary; Problem Assignment; Key Terms; Chapter 4: Research and Statistical Designs; Formulating Experimental Conditions; Reducing the Imprecision in Measurement; Sampling Error; Error of Measurement; Controlling Extraneous Experimental Influences; Methods of Controlling Extraneous Variables; Internal Validity and Experimental Designs; Internal Validity; Experimental Designs; Randomized Multiple Treatments and Control with Post test-Only Design; Randomized Multiple Treatments and Control with Pretest and Post test Design; Quasi-Experimental Designs; Repeated-Treatment Design with One Group Nonequivalent No-Treatment Control Group Time-Series Design; Correlational Research Methods; Choosing a Statistic to Use for an Analysis; Summary; Problem Assignment; Key Terms; Chapter 5: Introduction to IBM SPSS 20; The IBM SPSS 20 Data View Screen; Naming and Defining Variables in Variable View; Entering Variables; Entering Data; Examples of Basic Analyses; Examples of Modifying Data Procedures; Summary; Problem Assignment; Key Terms; Chapter 6: Diagnosing Study Data for Inaccuracies and Assumptions; Research Example; Detecting Erroneous Data Entries; Identifying and Dealing with Missing Data Identifying and Assessing Univariate Outliers; Identifying and Assessing Univariate Outliers; Screening and Making Decisions about Univariate Assumptions; Skewness and Kurtosis; Histograms; Skewness Screening; Kurtosis Screening; Shapiro-Wilk Statistic; Assessing Normal Q-Q Plots for Normality; Summary of Our Screening Results for the Underlying Assumption of Normality; Screening for Homogeneity of Variance; Levene's Test; One-Way Analysis of Variance Results; Nontransformed One-Way ANOVA Results; Transformed Screening and One-Way ANOVA Results; Summary
• Sommario/riassunto: "Quantitative and Statistical Research Methods offers a guide for psychology, counseling, and education students in the use of statistics and research designs, combined with guidance on using SPSS in the course of their research. Each chapter covers a research problem, taking the student through identifying research questions and hypotheses; identifying, classifying, and operationally defining the study variables; choosing appropriate research designs; conducting power analysis; choosing an appropriate statistic for the problem; using a data set; conducting data screening and analyses (SPSS); interpreting the statistics; and writing the results related to the problem. Designed so students will know how to plan research and conduct statistical analyses using several different procedures"--