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Medientyp:
Buch
Titel:
Statistics in psychology using R and SPSS
Enthält:
Concept of the book -- Measuring in psychology -- Psychology : an empirical science -- Definition : character, chance, experiment, and survey -- Numerical and graphical data analysis -- Probability and distribution -- Assumptions : random sampling and randomization -- One sample from one population -- Two samples from two populations -- Samples from more than two populations -- Regression and correlation -- One sample from one population -- Samples from more than one population -- Model generation -- Theory-generating procedures.
Statistics in Psychology Using R and SPSS; Contents; Preface; Acknowledgments; Part I INTRODUCTION; 1 Concept of the Book; References; 2 Measuring in Psychology; 2.1 Types of Psychological Measurements; 2.2 Measurement Techniques in Psychological Assessment; 2.2.1 Psychological Tests; 2.2.2 Personality Questionnaires; 2.2.3 Projective Techniques; 2.2.4 Systematical Behavior Observation; 2.3 Quality Criteria in Psychometrics; 2.4 Additional Psychological Measurement Techniques; 2.4.1 Sociogram; 2.4.2 Survey Questionnaires; 2.4.3 Ratings; 2.4.4 Q-Sort; 2.4.5 Semantic Differential
2.4.6 Method of Pair-Wise Comparison2.4.7 Content Analysis; 2.5 Statistical Models of Measurement with Psychological Roots; References; 3 Psychology - An Empirical Science; 3.1 Gain of Insight in Psychology; 3.2 Steps of Empirical Research; References; 4 Definition - Character, Chance, Experiment, and Survey; 4.1 Nominal Scale; 4.2 Ordinal Scale; 4.3 Interval Scale; 4.4 Ratio Scale; 4.5 Characters and Factors; References; Part II DESCRIPTIVE STATISTICS; 5 Numerical and Graphical Data Analysis; 5.1 Introduction to Data Analysis; 5.2 Frequencies and Empirical Distributions
5.2.1 Nominal-Scaled Characters5.2.2 Ordinal-Scaled Characters; 5.2.3 Quantitative Characters; 5.2.4 Principles of Charts; 5.2.5 Typical Examples of the Use of Tables and Charts; 5.3 Statistics; 5.3.1 Mean and Variance; 5.3.2 Other Measures of Location and Scale; 5.3.3 Statistics Based on Higher Moments; 5.4 Frequency Distribution for Several Characters; References; Part III INFERENTIAL STATISTICS FOR ONE CHARACTER; 6 Probability and Distribution; 6.1 Relative Frequencies and Probabilities; 6.2 Random Variable and Theoretical Distributions; 6.2.1 Binomial Distribution
6.2.2 Normal Distribution6.3 Quantiles of Theoretical Distribution Functions; 6.4 Mean and Variance of Theoretical Distributions; 6.5 Estimation of Unknown Parameters; References; 7 Assumptions - Random Sampling and Randomization; 7.1 Simple Random Sampling in Surveys; 7.2 Principles of Random Sampling and Randomization; 7.2.1 Sampling Methods; 7.2.2 Experimental Designs; References; 8 One Sample from One Population; 8.1 Introduction; 8.2 The Parameter µ of a Character Modeled by a Normally DistributedRandom Variable; 8.2.1 Estimation of the Unknown Parameter µ
8.2.2 A Confidence Interval for the Unknown Parameter µ8.2.3 Hypothesis Testing Concerning the Unknown Parameter µ; 8.2.4 Test of a Hypothesis Regarding the Unknown Parameter µ inthe Case of Primarily Mutually Assigned Observations; 8.3 Planning a Study for Hypothesis Testing with Respect to µ; 8.4 Sequential Tests for the Unknown Parameter µ; 8.5 Estimation, Hypothesis Testing, Planning the Study, and Sequential Testing Concerning Other Parameters; 8.5.1 The Unknown Parameter s2; 8.5.2 The Unknown Parameter p of a Dichotomous Character
8.5.3 The Unknown Parameter p of a Dichotomous Character which is the Result of Paired Observations
Anmerkungen:
Includes bibliographical references and index
Beschreibung:
Statistics in psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfill certain precision requirements. The book looks at the process of empirical research into the following seven stages: -- Formulation of the problem; -- Stipulation of the precision requirements; -- Selecting the statistical model for the planning and analysis; -- The (optimal) design of the experiment or survey; -- Performing the experiment or the survey; -- Statistical analysis of the observed results; -- Interpretation of the results.