Attitude Measurement Using Scales (Methods of Data Collection Used in Quantitative / Descriptive Research) Session Coverage • Measurement and Scaling • Different types of Scales – – – – Nominal Ordinal Interval Ratio • Classification of Scaling Techniques • Single V/S Multiple Item Scales • Methodological Limitations STAGES OF THE MARKETING RESEARCH PROCESS Problem Discovery and Definition Helps in Taking Decisions Formulation of Approach Conclusions and Report Research Design
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Using Research and Statistics in Health Care *14 this topic addresses the following learning objectives: * Explain the role of research in developing knowledge for use in health care evidence-based practice situations. * Identify several ways that research can influence healthcare policy. * Identify peer-reviewed healthcare research articles. * Differentiate between descriptive and inferential research questions in a peer-reviewed article on healthcare research. * Identify
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STATISTICS CHAPTER 1 NOTES DATA: consists of information coming from observations‚ counts‚ measurements‚ or responses. STATISTICS: is the science of collecting‚ organizing‚ analyzing‚ and interpreting data in order to make decisions. DATA SETS: -POPULATION: is the collection of all outcomes‚ responses‚ measurements or counts that are of interest -SAMPLE: is a subset or part of a population EXAMPLE OF POPULATION: The age of each resident in an apartment building EXAMPLE OF SAMPLE:
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mark their gender as male or female. Gender is an example of the a. ordinal scale b. nominal scale c. ratio scale d. interval scale 5. The nominal scale of measurement has the properties of the a. ordinal scale b. only interval scale c. ratio scale d. None of these alternatives is correct. 6. The scale of measurement that is used to rank order the observation for a variable is called the a. ratio scale b. ordinal scale c. nominal scale d. interval scale 7. Some hotels ask
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Preface PART 1: BASIC MOVES IN SPSS PART 2: CHAPTER KEYED SPSS EXERCISES 1-Human Inquiry and Science 2-Paradigms‚ Theory‚ and Social Research 3-The Ethics and Politics of Social Research 4-Research Design 5-Conceptualization‚ Operationalization‚ and Measurement 6-Indexes‚ Scales‚ and Typologies 7-The Logic of Sampling 8-Experiments 9-Survey Research 10-Qualitative Field Research 11-Unobtrusive Research 12-Evaluation Research 13-Qualitative Data Analysis 14-Quantitative Data Analysis 15-The Elaboration
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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the interval level of measurement? Age (yrs)‚ Income (annual)($)‚ Length of labor (hrs)‚ Return to work (wks)‚ and Number of hours working per week were measured at least at the interval level of measurement 2. What statistics were used to describe the length of labor in this study? Were these appropriate? The variable length of labor were used to describe by ratio data that can be described by using mean‚ range‚ and standard deviation. it is also called as interval/ratio level data 3. What
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adults‚ it is found that 39% of them have guns in their homes. c. The amount of shampoo through into a bottle. d. The amount of electricity used by workshop every month. e. The number of book per lecturer has. 5. Identify the level of measurement used in each of the following : a. The weights of people being hurled through the air at an enthusiastic rock concert. b. A movie critic’s rating of “must see‚ recommended‚ not recommended‚ don’t even think about going”. c. A movie
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“Pure Science” Fernando Garzon‚ Psy.D. • “Pure Science” I • Common assumptions • Journals & the file drawer phenomenon • “Publish or perish” pressure • Science politics in theory development • It is commonly assumed that the scientific method is objective and reliable to reveal truth. • File drawer phenomenon: Journals rarely publish studies that don’t find statistically significant findings. • Is it really the theory that explains the data the best that is
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Variables In this section‚ descriptive analysis of the variables is made in accordance with the level of measurement of the variables. In this context‚ the variables have been evaluated at the four distinct levels‚ which include nominal‚ ordinal‚ interval‚ and ratio (Frankfort-Nachmias & Nachmias 2008). Global Warming‚ Sex and MOSAIC Global Segment These three variables have been measured at the nominal level. Thus‚ frequencies and mode are the main descriptive analyses for this variable (Zikmund et
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