K. Tomlin‚ October 2011 Reflective Essay 1: Diversity in Psychology Why do we study diversity in psychology? Diversity comes in many forms. It is extremely important that psychologists‚ counselors‚ and therapists not only develop the skills to successfully treat and assess individuals‚ but they must also understand their values and attitudes related to the facets of diversity: age‚ religion‚ socio-economic status‚ culture‚ sexual orientation‚ ethnicity‚ spirituality‚ and ability. First and
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397368 JLO A Longitudinal Analysis of Positive Psychological Constructs and Emotions on Stress‚ Anxiety‚ and Well-Being Journal of Leadership & Organizational Studies 18(2) 216–228 © Baker College 2011 Reprints and permission: http://www. sagepub.com/journalsPermissions.nav DOI: 10.1177/1548051810397368 http://jlos.sagepub.com James B. Avey1‚ Tara S. Wernsing2‚ and Ketan H. Mhatre3 Abstract Two studies were conducted including one involving a longitudinal research design to understand better
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marts are multidimensional cubes. This connection gives arise to two concepts‚ ROLAP and MOLAP. ROLAP is an implementation based on a relational database‚ in our case which is a primary data warehouse‚ and MOLAP is an implementation based on a multidimensional database which are data marts. ROLAP tools use the relational database to access the data and generate SQL queries to calculate information‚ whereas MOLAP tools are designed to allow data analysis through the use of multidimensional data model
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1994: 402-420. experience. Evaluation and Programme Planning‚ 1983‚ 6: 395-400. Evaluation and Programme Planning‚ 1989‚ 12:271-278. Programme Planning‚ 1990‚ 13: 119-124. Microfilms No. 7904220)‚ 1979. patient satisfaction: Development of a general scale. Evaluation and Programme Planning‚ 1979‚ 2: 197-207. Evaluation and Programme Planning‚ 1983‚ 6: 237-245. instruments. Rockville‚ MA: National Institute on Alcohol Abuse and Alcoholism‚ 1985. 18 settings.Evaluation and Program- me Planning‚ 1981‚
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PARENTAL GUIDANCE AND LEARNING WILLINGNESS OF BACHELOR OF SCIENCE IN PSYCHOLOGY STUDENTS OF SAN PEDRO COLLEGE A Thesis Presented to the Faculty of San Pedro College Davao City In Partial Fulfillment of the Requirements for PSYCH 130: Psychological Statistics By: Masauding‚ Doreen Layan‚ Sheerah Aquino‚ Tresha Singco‚ Phoebe Dacono‚ Camille Alterado‚ Rielle Zarate‚ Amaris April 2013 CHAPTER 1 PROBLEM AND ITS SETTING Background of the Study It has been increasingly
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Chapter 3 – Data Visualization Chapter 4 – Summary Statistics Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values‚ outliers‚ incorrect values‚ duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for
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4 Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity
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and B. Victor: 2003‚ ÔThe Effects of Ethical Climates on Organizational Commitment: A Two – Study AnalysisÕ‚ Journal of Business Ethics 46(2)‚ 127–141. Etheredge‚ J. M.: 1999‚ ÔThe Perceived Role of Ethics and Social Responsibility: An Alternative Scale StructureÕ‚ Journal of Business Ethics 18(1)‚ 51–64. Ferrell‚ O. C. and L. G. Gresham: 1985‚ ÔA Contingency Framework for Understanding Ethical Decision Making in MarketingÕ‚ Journal of Marketing 49(Summer)‚ 87–96. Forsyth‚ D. R.: 1980‚ ÔA Taxonomy
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PARTICIPANT HANDBOOK STRATEGIC MARKETING – DURABLE CONSUMER GOODS Jean-Claude Larréché The Alfred H. Heineken Chaired Professor of Marketing INSEAD Hubert Gatignon The Claude Janssen Chaired Professor of Business Administration and Professor of Marketing INSEAD Rémi Triolet Simulation Expert How you can save paper. Please refer to page 2 before printing this document. Copyright © StratX 2013-11-30 i TABLE OF CONTENT I. Introduction to the Markstrat Challenge
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Analysis of Higher Order Statistical Techniques for Speech Signal Recognition Chanchal #‚ Anuj Gupta #Asst.Prof.‚ *Lecturer‚ Electronics and Communication Department‚ ABSTRACT The present paper deals with the analysis of non linear system using higher order statistical techniques namely Independent component analysis (ICA). The Independent component analysis is a statistical technique for decomposing complex data set into independent sub-parts. PCA is also a higher order statistical technique
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