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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
Mating intelligence unleashed : the role of the mind in sex, dating, and love / / Glenn Geher and Scott Barry Kaufman |
Autore | Geher Glenn |
Edizione | [1st ed.] |
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|