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Evolutionary psychology 101 / / Glenn Geher, PhD
Evolutionary psychology 101 / / Glenn Geher, PhD
Autore Geher Glenn
Edizione [[Enhanced Credo edition]]
Pubbl/distr/stampa New York, NY : , : Springer Publishing Company, , [2014]
Descrizione fisica 1 online resource (234 p.)
Disciplina 155.7
Collana The psych 101 series
Soggetto topico Evolutionary psychology
Soggetto genere / forma Electronic books.
ISBN 1-78539-866-0
0-8261-0719-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto section I. Introducing evolutionary psychology -- section II. Domains of human behavior shaped by evolution -- section III. Applied evolutionary psychology and the future of the field.
Record Nr. UNINA-9910462710303321
Geher Glenn  
New York, NY : , : Springer Publishing Company, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary psychology 101 / / Glenn Geher, PhD
Evolutionary psychology 101 / / Glenn Geher, PhD
Autore Geher Glenn
Edizione [[Enhanced Credo edition]]
Pubbl/distr/stampa New York, NY : , : Springer Publishing Company, , [2014]
Descrizione fisica 1 online resource (234 p.)
Disciplina 155.7
Collana The psych 101 series
Soggetto topico Evolutionary psychology
ISBN 1-78539-866-0
0-8261-0719-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto section I. Introducing evolutionary psychology -- section II. Domains of human behavior shaped by evolution -- section III. Applied evolutionary psychology and the future of the field.
Record Nr. UNINA-9910787785303321
Geher Glenn  
New York, NY : , : Springer Publishing Company, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary psychology 101 / / Glenn Geher, PhD
Evolutionary psychology 101 / / Glenn Geher, PhD
Autore Geher Glenn
Edizione [[Enhanced Credo edition]]
Pubbl/distr/stampa New York, NY : , : Springer Publishing Company, , [2014]
Descrizione fisica 1 online resource (234 p.)
Disciplina 155.7
Collana The psych 101 series
Soggetto topico Evolutionary psychology
ISBN 1-78539-866-0
0-8261-0719-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto section I. Introducing evolutionary psychology -- section II. Domains of human behavior shaped by evolution -- section III. Applied evolutionary psychology and the future of the field.
Record Nr. UNINA-9910821128103321
Geher Glenn  
New York, NY : , : Springer Publishing Company, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Autore Geher Glenn
Pubbl/distr/stampa New York, : Oxford University Press, c2013
Descrizione fisica 1 online resource (319 p.)
Disciplina 306.82
Altri autori (Persone) KaufmanScott Barry <1979->
Soggetto topico Mate selection
Mate selection - Psychological aspects
Man-woman relationships
Sex
Dating (Social customs)
Love
Soggetto genere / forma Electronic books.
ISBN 1-283-88957-9
0-19-987543-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction : Cupid's cognitive arrow -- I'm too sexy for this canvas : why creativity is sexy -- Wanted! neurotic mess the role of personality in mating -- What's your cue? : attractiveness and mate choice in the real world -- Game plans : the highly contextual nature of human mating strategies -- She totally wants me : in the world of mating, biased perceptions are everywhere -- I really am a tall doctor and of course I love you! : mind-reading, emotional intelligence, and deception -- Do nice guys finish last? : the multiple routes to mating success -- Mating intelligence saves the world.
Record Nr. UNINA-9910452952303321
Geher Glenn  
New York, : Oxford University Press, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Autore Geher Glenn
Pubbl/distr/stampa New York, : Oxford University Press, c2013
Descrizione fisica 1 online resource (319 p.)
Disciplina 306.82
Altri autori (Persone) KaufmanScott Barry <1979->
Soggetto topico Mate selection
Mate selection - Psychological aspects
Man-woman relationships
Sex
Dating (Social customs)
Love
ISBN 0-19-933383-1
1-283-88957-9
0-19-987543-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction : Cupid's cognitive arrow -- I'm too sexy for this canvas : why creativity is sexy -- Wanted! neurotic mess the role of personality in mating -- What's your cue? : attractiveness and mate choice in the real world -- Game plans : the highly contextual nature of human mating strategies -- She totally wants me : in the world of mating, biased perceptions are everywhere -- I really am a tall doctor and of course I love you! : mind-reading, emotional intelligence, and deception -- Do nice guys finish last? : the multiple routes to mating success -- Mating intelligence saves the world.
Record Nr. UNINA-9910779360703321
Geher Glenn  
New York, : Oxford University Press, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Mating intelligence unleashed [[electronic resource] ] : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman
Autore Geher Glenn
Pubbl/distr/stampa New York, : Oxford University Press, c2013
Descrizione fisica 1 online resource (319 p.)
Disciplina 306.82
Altri autori (Persone) KaufmanScott Barry <1979->
Soggetto topico Mate selection
Mate selection - Psychological aspects
Man-woman relationships
Sex
Dating (Social customs)
Love
ISBN 0-19-933383-1
1-283-88957-9
0-19-987543-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction : Cupid's cognitive arrow -- I'm too sexy for this canvas : why creativity is sexy -- Wanted! neurotic mess the role of personality in mating -- What's your cue? : attractiveness and mate choice in the real world -- Game plans : the highly contextual nature of human mating strategies -- She totally wants me : in the world of mating, biased perceptions are everywhere -- I really am a tall doctor and of course I love you! : mind-reading, emotional intelligence, and deception -- Do nice guys finish last? : the multiple routes to mating success -- Mating intelligence saves the world.
Record Nr. UNINA-9910819372503321
Geher Glenn  
New York, : Oxford University Press, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Autore Geher Glenn
Pubbl/distr/stampa New York, New York : , : Oxford University Press, , 2014
Descrizione fisica 1 online resource (481 p.)
Disciplina 150.15195
Soggetto topico Psychometrics
Psychology - Research
Psychology - Mathematical models
Statistics - Study and teaching (Higher)
Soggetto genere / forma Electronic books.
ISBN 0-19-939579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score
Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation
A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing
The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms
chapter 10 t-tests (One-Sample and Within-Groups)
Record Nr. UNINA-9910458293603321
Geher Glenn  
New York, New York : , : Oxford University Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Autore Geher Glenn
Pubbl/distr/stampa Oxford : , : Oxford University Press, , [2014]
Descrizione fisica 1 online resource (481 pages)
Disciplina 150.15195
Soggetto topico Psychometrics
Psychology - Research
Psychology - Mathematical models
Statistics - Study and teaching (Higher)
ISBN 0-19-939579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score
Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation
A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing
The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms
chapter 10 t-tests (One-Sample and Within-Groups)
Record Nr. UNINA-9910790902003321
Geher Glenn  
Oxford : , : Oxford University Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall
Autore Geher Glenn
Pubbl/distr/stampa Oxford : , : Oxford University Press, , [2014]
Descrizione fisica 1 online resource (481 pages)
Disciplina 150.15195
Soggetto topico Psychometrics
Psychology - Research
Psychology - Mathematical models
Statistics - Study and teaching (Higher)
ISBN 0-19-939579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency
Indices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score
Computing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation
A Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing
The Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms
chapter 10 t-tests (One-Sample and Within-Groups)
Record Nr. UNINA-9910828437303321
Geher Glenn  
Oxford : , : Oxford University Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui