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Statistical methods for communication science / / Andrew F. Hayes
| Statistical methods for communication science / / Andrew F. Hayes |
| Autore | Hayes Andrew F. |
| Pubbl/distr/stampa | Mahwah, N.J. : , : Lawrence Erlbaum Associates, , 2005 |
| Descrizione fisica | 1 online resource (531 p.) |
| Disciplina | 302.2/02/1 |
| Collana | Routledge Communication Series |
| Soggetto topico |
Communication - Statistical methods
Communication - Research |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-135-25090-1
1-282-06499-1 9786612064999 1-4106-1370-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Statistical Methods for Communication Science; Title Page; Copyright Page; Table of Contents; Preface; 1 Statistics and Communication Science; 1.1 Welcome; 1.2 Why Do Science?; 1.3 Assumptions and Philosophies of Scientific Investigation; 1.4 Building Your Statistical Vocabulary; 1.5 The Role of Statistics in Scientific Investigation; 1.6 Summary; 2 Fundamentals of Measurement; 2.1 Measurement Concepts; 2.1.1 Methods of Measurement; 2.1.2 Operationalization; 2.1.3 Levels of Measurement; 2.1.4 Measurement Precision; 2.1.5 Qualitative Data versus Quantitative Measurement
2.2 Measurement Quality2.2.1 Reliability of Measurement; 2.2.2 Validity of Measurement; 2.3 Summary; 3 Sampling; 3.1 Population Inference; 3.1.1 The Literary Digest Poll: Population Inference Gone Awry; 3.1.2 Population Inference Through Representativeness; 3.2 Sampling Methods; 3.2.1 Nonprobability Sampling; 3.2.2 Probability Sampling; 3.3 Is Nonprobability Sampling Really So Bad?; 3.4 Summary; 4 Data Description and Visualization; 4.1 Graphical and Tabular Descriptions of Data; 4.1.1 Frequency Tables; 4.1.2 The Histogram; 4.1.3 Describing the Shape of a Distribution 4.2 Measures of Central Tendency4.2.1 The Mode; 4.2.2 The Median; 4.2.3 The Arithmetic Mean; 4.2.4 Choosing a Measure of Central Tendency; 4.3 Measures of Variation; 4.3.1 The Range and Interquartile Range; 4.3.2 The Standard Deviation; 4.3.3 The Variance; 4.4 Quantifying Skewness and Kurtosis; 4.5 Another Graphical Tool: The Box Plot; 4.6 Standardization; 4.7 Describing Association Between Quantitative Variables; 4.7.1 Pearson's Coefficient of Correlation; 4.7.2 Alternative Measures of Association; 4.7.3 Cautions When Interpreting Correlation; 4.8 Visualizing Correlation: The Scatterplot 4.9 Descriptively Comparing Groups4.10 Data Screening and Missing Data; 4.11 Introducing Some Common Symbolic Notation; 4.12 Summary; 5 Fundamentals of Probability; 5.1 Defining Probability; 5.2 Laws of Probability; 5.2.1 The Additive Law of Probability; 5.2.2 The Multiplicative Law of Probability; 5.3 Probability Distributions; 5.3.1 The Binomial Probability Distribution; 5.3.2 The Normal Probability Distribution; 5.3.3 Chebychev's Theorem; 5.4 Random Variables and Expected Values; 5.5 Summary; 6 Assessing and Quantifying Reliability; 6.1 Classical Test Theory 6.1.1 Partioning Measurements into Their Components6.1.2 The Definition of Reliability Under Classical Test Theory; 6.2 Estimating the Reliability of Quantitative Measurements; 6.2.1 Estimating Reliability From Repeated Measurements Over Time; 6.2.2 Estimating Reliability From Internal Consistency of Indicator Scores; 6.2.3 Reliability of Method or of Measurement?; 6.3 Reliability of Subjective Categorical Judgments; 6.3.1 Holsti's Method; 6.3.2 Correcting for Chance Agreement: Scott's π and Cohen's κ; 6.3.3 Using an Agreement Index; 6.4 How High is High Enough?; 6.5 Summary 7 Parameter Estimation |
| Record Nr. | UNINA-9910454212503321 |
Hayes Andrew F.
|
||
| Mahwah, N.J. : , : Lawrence Erlbaum Associates, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods for communication science / / Andrew F. Hayes
| Statistical methods for communication science / / Andrew F. Hayes |
| Autore | Hayes Andrew F. |
| Pubbl/distr/stampa | Mahwah, N.J. : , : Lawrence Erlbaum Associates, , 2005 |
| Descrizione fisica | 1 online resource (531 p.) |
| Disciplina | 302.2/02/1 |
| Collana | Routledge Communication Series |
| Soggetto topico |
Communication - Statistical methods
Communication - Research |
| ISBN |
1-135-25089-8
1-135-25090-1 1-282-06499-1 9786612064999 1-4106-1370-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Statistical Methods for Communication Science; Title Page; Copyright Page; Table of Contents; Preface; 1 Statistics and Communication Science; 1.1 Welcome; 1.2 Why Do Science?; 1.3 Assumptions and Philosophies of Scientific Investigation; 1.4 Building Your Statistical Vocabulary; 1.5 The Role of Statistics in Scientific Investigation; 1.6 Summary; 2 Fundamentals of Measurement; 2.1 Measurement Concepts; 2.1.1 Methods of Measurement; 2.1.2 Operationalization; 2.1.3 Levels of Measurement; 2.1.4 Measurement Precision; 2.1.5 Qualitative Data versus Quantitative Measurement
2.2 Measurement Quality2.2.1 Reliability of Measurement; 2.2.2 Validity of Measurement; 2.3 Summary; 3 Sampling; 3.1 Population Inference; 3.1.1 The Literary Digest Poll: Population Inference Gone Awry; 3.1.2 Population Inference Through Representativeness; 3.2 Sampling Methods; 3.2.1 Nonprobability Sampling; 3.2.2 Probability Sampling; 3.3 Is Nonprobability Sampling Really So Bad?; 3.4 Summary; 4 Data Description and Visualization; 4.1 Graphical and Tabular Descriptions of Data; 4.1.1 Frequency Tables; 4.1.2 The Histogram; 4.1.3 Describing the Shape of a Distribution 4.2 Measures of Central Tendency4.2.1 The Mode; 4.2.2 The Median; 4.2.3 The Arithmetic Mean; 4.2.4 Choosing a Measure of Central Tendency; 4.3 Measures of Variation; 4.3.1 The Range and Interquartile Range; 4.3.2 The Standard Deviation; 4.3.3 The Variance; 4.4 Quantifying Skewness and Kurtosis; 4.5 Another Graphical Tool: The Box Plot; 4.6 Standardization; 4.7 Describing Association Between Quantitative Variables; 4.7.1 Pearson's Coefficient of Correlation; 4.7.2 Alternative Measures of Association; 4.7.3 Cautions When Interpreting Correlation; 4.8 Visualizing Correlation: The Scatterplot 4.9 Descriptively Comparing Groups4.10 Data Screening and Missing Data; 4.11 Introducing Some Common Symbolic Notation; 4.12 Summary; 5 Fundamentals of Probability; 5.1 Defining Probability; 5.2 Laws of Probability; 5.2.1 The Additive Law of Probability; 5.2.2 The Multiplicative Law of Probability; 5.3 Probability Distributions; 5.3.1 The Binomial Probability Distribution; 5.3.2 The Normal Probability Distribution; 5.3.3 Chebychev's Theorem; 5.4 Random Variables and Expected Values; 5.5 Summary; 6 Assessing and Quantifying Reliability; 6.1 Classical Test Theory 6.1.1 Partioning Measurements into Their Components6.1.2 The Definition of Reliability Under Classical Test Theory; 6.2 Estimating the Reliability of Quantitative Measurements; 6.2.1 Estimating Reliability From Repeated Measurements Over Time; 6.2.2 Estimating Reliability From Internal Consistency of Indicator Scores; 6.2.3 Reliability of Method or of Measurement?; 6.3 Reliability of Subjective Categorical Judgments; 6.3.1 Holsti's Method; 6.3.2 Correcting for Chance Agreement: Scott's π and Cohen's κ; 6.3.3 Using an Agreement Index; 6.4 How High is High Enough?; 6.5 Summary 7 Parameter Estimation |
| Record Nr. | UNINA-9910782616603321 |
|
Hayes Andrew F.
|
||
| Mahwah, N.J. : , : Lawrence Erlbaum Associates, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||