Difference Between An Independent And A Dependent Variable Essays and Term Papers

  • static

    coding categories should be provided for all subjects or objects or response. • Categories should be mutually exclusive and independent – there should be no overlap between the categories, to ensure that a subject or response can be placed in only one category. Recode • Recoding is the process...

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  • Annova

    mean differences between groups that have been split on two independent variables (called factors). You need two independent, categorical variables and one continuous, dependent variable. Assumptions * Dependent variable is either interval or ratio (continuous) * The dependent variable is approximately...

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  • Discriminat Analysis

    technique for analyzing data when the criterion or dependent variable is categorical and the predictor or independent variables are interval in nature. Discriminant function analysis is used to determine which continuous variables discriminate between two or more naturally occurring groups. For example...

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  • Research Concept

    variation in respondent’s understanding is reduced if not completely eliminated.     VARIABLES An image, perception or conception that is capable of being measured and can take on different values The way variables are measured in a study will determine whether the study is a qualitative or quantitative...

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  • experimental research

    psychology, physics, chemistry, biology and medicine etc. Experimental research tests a hypothesis and establishes causation by using independent and dependent variables in a controlled environment. KEY POINTS Experiments are generally the most precise studies and have the most conclusive power. They...

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  • Discriminate Analysis

    limited to cases where the dependent variable an interval variable. Discriminant analysis is a technique for analyzing data when the criterion or dependent variable is categorical and the predictor or independent variables are interval in nature. In many cases dependent variable consist of two or more...

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  • Stat

    effects of categorical independent variables (called "factors") on an interval dependent variable. The new general linear model (GLM) version of ANOVA also supports categorical dependents. A "main effect" is the direct effect of an independent variable on the dependent variable. An "interaction effect"...

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  • Spss Regression

    coefficients of the linear equation, involving one or more independent variables, that best predict the value of the dependent variable. For example, you can try to predict a salesperson’s total yearly sales (the dependent variable) from independent variables such as age, education, and years of experience. ...

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  • Experimental Design

    design is a research method in which researcher tries to examine causal effects by manipulating independent variable under controlled settings and measures whether it produces any change to the dependent variable. In an experiment experimenter deliberately imposes a treatment on a group of objects or subjects...

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  • Manova

    used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. among the independent variables.[1] Where sums of squares appear...

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  • Advanced Research Methods

    course of treatment using cognitive behavioural therapy (CBT). The dependent variable is a success score based on responses to patient and GP post-treatment questionnaires. The potential predictors includes scores on three variables regarded as providing good approximations to interval scales: SELFTEST...

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  • Multivariate Data Analysis - Summary

    individuals or objects under investigation. Factor analysis identifies the structure underlying a set of variables Discriminant analysis differentiates among groups based on a set of variables. All the variables must be random and interrelated in such ways that their different effects cannot meaningfully be...

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  • Profitability

    .......................................... 9  Setting a Baseline: Prediction Without an Independent Variable ..................................................... 9  Prediction Using a Single Independent Variable: Simple Regression ............................................... 10  The Role of the Correlation Coefficient ...

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  • Simple Versus Multiple Regression

    MULTIPLE REGRESSION The difference between simple and multiple regression is similar to the difference between one way and factorial ANOVA. Like one-way ANOVA, simple regression analysis involves a single independent, or predictor variable and a single dependent, or outcome variable. This is the same number...

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  • Exam 3 Vocabulary

    following the sampling procedures and to determine whether interviewers are cheating. | | Chapter 19 | | code book | A book that identifies each variable in a study and gives the variable’s description, code name, and position in the data matrix. | codes | Rules for interpreting, classifying, and...

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  • Variables and Hypothesis

    VARIABLES | | | Very simply, a VARIABLE is a measurable characteristic that varies. It may change from group to group, person to person, or even within one person over time. There are six common variable types: | DEPENDENT VARIABLES | . . . show the effect of manipulating or introducing the...

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  • Leadership

    important to the research problem concerned. To put it simply a theoretical framework involves identifying the network of relationship among the variables considered important to the study .It provides the conceptual foundation to proceed further with the research. The theory is developed based on the...

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  • Chapter 9

    Exam 1. 1. All continuous random variables are normally distributed. False. 2. The actual weight of hamburger patties is an example of a continuous random variable. True 3. The college of business administration at acorn University offers a major in finance. Based on historical records, 30% of the college...

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  • Time Flows

    simultaneous variation of a second variable with an independent variable of interest so that any effect on the dependent variable cant be attributed with certainty to the independent variable; inherent in correlational research 6. Control variables- potential independent variable that is held constant in an...

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  • Statistical Tests

    use, it is important to consider the type of variables that you have (i.e., whether your variables are categorical, ordinal or interval and whether they are normally distributed), see What is the difference between categorical, ordinal and interval variables? for more information on this. About the hsb...

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