1.

Record Nr.

UNINA9910462410603321

Autore

Crowe Simon F

Titolo

Evidence of absence [[electronic resource] ] : a guide to cognitive assessment in Australia / / Simon F. Crowe ; foreword by Stephen C. Bowden

Pubbl/distr/stampa

Bowen Hills, Qld., : Australian Academic Press, 2010

ISBN

1-921513-63-2

Descrizione fisica

1 online resource (232 pages)

Altri autori (Persone)

BowdenStephen C

Disciplina

612.8233

Soggetti

Neuropsychological tests

Cognition - Testing

Cognition disorders

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Background, Foreground and Methodological Considerations -- 2.The Vulnerabilities of Cognitive Evidence -- 3. How Many Neuropsychological Functions Are There? -- 4. Testing Hypotheses with the WAIS-IV and the WMS-IV -- 5. Are the Findings Normal?The Case of Ms Rosalie Ruby Red -- 6. Is the Compromise Global or Specific? The Case of Colonel Keen As -- 7. Is the Patient's Presentation a Genuine One? The Case of Mrs Peahen -- 8. Reporting Your Findings -- 9. Six Not-So-Easy Clinical Dilemmas -- Summary --References

Sommario/riassunto

This book offers Australian mental health clinicians a locally written guide to the clinical interpretation of cognitive assessments using the Wechsler scales, including the WAIS-IV, the WMS-IV and the Advanced Clinical Solutions for WAIS-IV and WMS-IV. Using Australian case material, the reader is provided with empirical and interpretative analysis based upon the varying State legal requirements, the range of sociocultural uses to which intellectual assessment is put, and consideration of appropriate norms.



2.

Record Nr.

UNINA9910585990003321

Titolo

Rubber news

Pubbl/distr/stampa

Detroit, Michigan : , : Crain Communications Inc., , 2021-

ISSN

2769-965X

Disciplina

678.2

Soggetti

Rubber industry and trade - United States

Rubber industry and trade

Plastics industry and trade - United States

Plastics industry and trade

Caoutchouc - Industrie - États-Unis

Caoutchouc - Industrie

Matières plastiques - Industrie - États-Unis

Matières plastiques - Industrie

Periodicals.

United States

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico



3.

Record Nr.

UNINA9910812400003321

Autore

Agung I Gusti Ngurah

Titolo

Cross section and experimental data analysis using EViews / / I Gusti Ngurah Agung

Pubbl/distr/stampa

Singapore, : John Wiley & Sons, 2011

ISBN

9786613372499

9780470828458

0470828455

9781283372497

1283372495

9780470828434

0470828439

9780470828441

0470828447

Edizione

[1st ed.]

Descrizione fisica

1 online resource (586 p.)

Disciplina

005.5/5

Soggetti

Statistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

CROSS SECTION AND EXPERIMENTAL DATA ANALYSIS USING EVIEWS; Contents; Preface; 1 Misinterpretation of Selected Theoretical Concepts of Statistics; 1.1 Introduction; 1.2 What is a Population?; 1.3 A Sample and Sample Space; 1.3.1 What is a Sample?; 1.3.2 What is the Sample Space?; 1.3.3 What is a Representative Sample?; 1.3.4 Relationship between the Sample Space, Population, and a Sample; 1.4 Distribution of a Random Sample Space; 1.5 What is a Random Variable?; 1.6 Theoretical Concept of a Random Sample; 1.6.1 What is a Random Sample in Statistics?; 1.6.2 Central Limit Theorem

1.6.3 Unbiased Statistics based on Random Samples 1.6.4 Special Notes on Nonrandom Sample; 1.7 Does a Representative Sample Really Exist?; 1.8 Remarks on Statistical Powers and Sample Sizes; 1.9 Hypothesis and Hypothesis Testing; 1.10 Groups of Research Variables; 1.10.1 Problem Indicators; 1.10.2 Controllable Cause Factors; 1.10.3 Uncontrollable Cause Factors; 1.10.4 Background or Classification



Factors; 1.10.5 Environmental Factors; 1.11 Causal Relationship between Variables; 1.11.1 Bivariate Correlation; 1.11.2 Special Remarks; 1.12 Misinterpretation of Selected Statistics

1.12.1 Standard Error 1.12.2 Significance Level and Power of a Test; 1.12.3 Reliability of a Test or Instrument; 1.12.4 Validity of a Test or Instrument; 1.12.5 Reliability and Validity of Forecasting; 1.12.6 Reliability and Validity of a Predicted Risk; 2 Simple Statistical Analysis but Good for Strategic Decision Making; 2.1 Introduction; 2.2 A Single Input for Decision Making; 2.2.1 A Single Sampled Unit; 2.2.2 Descriptive Statistics Based on a Single Measurable Variable; 2.2.3 Agung Six-Point Scale (ASPS) Problem Indicator; 2.2.4 Latent Variables and Composite Indexes

2.2.5 Demographic and Social-Economic Factors 2.2.6 Garbage as a Data Source; 2.2.7 Boxplot as an Input for Decision Making; 2.2.8 A Series of Inputs for Strategic Decision Making; 2.3 Data Transformation; 2.3.1 To Generate Categorical Variables; 2.3.2 To Generate Dummy Variables; 2.4 Biserial Correlation Analysis; 2.5 One-Way Tabulation of a Variable; 2.6 Two-Way Tabulations; 2.6.1 Measure of Associations for Bivariate Categorical Variables; 2.6.2 Other Measures of Association Based on a 2 X 2 Table; 2.6.3 Measures of Association Based on a I X 2 Table; 2.7 Three-Way Tabulation

2.7.1 Conditional Measures of Association for a 2 X 2 X 2 Table 2.7.2 Conditional Odds Ratio for an I X J X 2 Table; 2.8 Special Notes and Comments; 2.9 Special Cases of the N-Way Incomplete Tables; 2.10 Partial Associations; 2.11 Multiple Causal Associations Based on Categorical Variables; 2.11.1 Theoretical and Empirical Concepts of Causal Associations; 2.11.2 Multidimensional Frequency Table; 2.12 Seemingly Causal Model Based on Categorical Variables; 2.12.1 Causal Association Based on (X1, X2, Y1) or (X1, Y1, Y2); 2.12.2 Causal Association Based on (X1, X2, Y1, Y2)

2.12.3 Causal Association Based on Multidimensional Variables

Sommario/riassunto

A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. ""This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis ... The strength of the book lies in its wealth of material and well structured guidelines ..."" Prof. Yohanes Eko Riyanto, Nanyang Technological University, Singapore ""This is superb and brilliant. Prof. Agung has skilfully transformed his best experiences