LEADER 05537oam 2200709I 450 001 9910454212503321 005 20200520144314.0 010 $a1-135-25090-1 010 $a1-282-06499-1 010 $a9786612064999 010 $a1-4106-1370-4 024 7 $a10.4324/9781410613707 035 $a(CKB)1000000000719287 035 $a(EBL)425516 035 $a(OCoLC)476267211 035 $a(SSID)ssj0000251081 035 $a(PQKBManifestationID)11200068 035 $a(PQKBTitleCode)TC0000251081 035 $a(PQKBWorkID)10247731 035 $a(PQKB)11474387 035 $a(MiAaPQ)EBC425516 035 $a(Au-PeEL)EBL425516 035 $a(CaPaEBR)ebr10289092 035 $a(CaONFJC)MIL206499 035 $a(OCoLC)320950289 035 $a(EXLCZ)991000000000719287 100 $a20180706d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods for communication science /$fAndrew F. Hayes 210 1$aMahwah, N.J. :$cLawrence Erlbaum Associates,$d2005. 215 $a1 online resource (531 p.) 225 1 $aRoutledge Communication Series 300 $aDescription based upon print version of record. 311 $a1-138-98293-8 311 $a0-8058-5487-8 320 $aIncludes bibliographical references (p. 491-506) and index. 327 $aCover; 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 327 $a2.2 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 327 $a4.2 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 327 $a4.9 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 327 $a6.1.1 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 ? and Cohen's ?; 6.3.3 Using an Agreement Index; 6.4 How High is High Enough?; 6.5 Summary 327 $a7 Parameter Estimation 330 $aStatistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with cle 410 0$aRoutledge Communication Series 606 $aCommunication$xStatistical methods 606 $aCommunication$xResearch 608 $aElectronic books. 615 0$aCommunication$xStatistical methods. 615 0$aCommunication$xResearch. 676 $a302.2/02/1 700 $aHayes$b Andrew F.$0478596 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454212503321 996 $aStatistical methods for communication science$92199486 997 $aUNINA