concerning the goals of a program. In ideal evaluation study situations, mental health service program staff, directors, funding sources, and all other groups that have a stake in the investigation are invited into the variable identification phase to identify the critical program variables to be used in the study. Methods of data collection and subsequent data analysis techniques will be used to determine program efficacy levels. Thus, the results of an evaluation research study can be used to modify
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line was 15, that the slope was -.5, and that the independent variable had a value of 8, the value of the dependent variable would be: 11 2. In a demand graph showing the relationship between price and how much of a good the buyers will buy, the convention that economists follow is to place price on the: Vertical axis even though it is the independent variable 3. On a graph of two variables, X and Y, ceteris paribus means that: Other variables not shown are held constant 4. There are two
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relationship between two variables. For instance: The table below shows the quantity of petrol consumed by each Salesman of a reputable pharmaceutical company along with the number of cartons (quantity) sold. 2. An independent variable is one that can be manipulated. In the equation y=f(x), y is considered as the dependent variable and x as the independent variable. For example; Resumption time at Work will be an independent variable where Volume of Traffic will be the dependent variable. In the example
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The Effect of French and Raven Power on knowledge Acquisition, Knowledge Creation and knowledge Sharing: An Empirical Investigation in Lebanese Organizations Dr. Silva Karkoulian, Lebanese American University, Beirut, Lebanon Miss Yasmina Osman, Lebanese American University, Beirut, Lebanon ABSTRACT It has been documented that not much is known about the kinds of French and Raven powers that foster the acquisition, creation and sharing of organizational knowledge. This study extends
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* Prospects and Challenges of Nepalese Debt market 1. Introduction Debt market may be short-term, intermediate and long-term. Short-term and intermediate-term financing sources include trade credit, bank loan, finance company loan, commercial paper; inventory financing includes the issuance of mortgages and bonds (Shim J.K; 1989:138). The importance of the debt market in an emerging economy cannot be overemphasized. In the presence of uncertainty and prudential norms, banks often decline to lend
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Independent variables are variable that stand alone and are not changed by the other variables that are being measured. Independent variables are used to predict a response or result (Fink, 2002). Dependent variables could change depending on the results. The writer’s objective is to measure teachers’ perception of the principal’s role in technology implementation. This objective is a descriptive objective because the writer is measuring the teachers’ perceptions of the principal’s role in implementing
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Understand and interpret the terms dependent and independent variable. Calculate and interpret the coefficient of correlation, the coefficient of determination, and the standard error of estimate. Conduct a test of hypothesis to determine whether the coefficient of correlation in the population is zero. Calculate the least squares regression line. Construct and interpret confidence and prediction intervals for the dependent variable. 2 Regression Analysis - Introduction
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gasoline is considered to be very relevant. The dependent variable “Annual prime supplier sales volumes of regular gasoline per capita” is determined by the following independent variables “Annual vehicle miles of travel per capita”, “Personal income per capita” and “Retail price of regular gasoline”. The model is: Yi=β0+ β1X1i+ β2X2i+β3X3i+ ei Definition of Variables and Data Description Y: As it was already stated, my dependent variable is annual prime supplier sales volumes of regular
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TOPIC 1. FUNDAMENTALS OF ECONOMIC FORECASTING TOPIC I TOPIC I. FUNDAMENTALS OF ECONOMIC FORECASTING Contents 1. Meaning of forecasting 2. Features, importance and limitations of forecasting 3. Forecast types 1. Meaning of forecasting Forecast is a likely, scientifically well-grounded opinion about the possible state of the events, objects or processes in the future. Forecasting is a process of making statements about events whose actual outcomes (typically) have not yet been observed
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approach to their studies.” The hypothesis itself leaves many questions; it is a very broad statement and there’s no clear description. Even though we have an idea who will take part in this experiment and a hint of what the dependent variable is, lacking specification will prove to make it difficult to measure the results. Restating this hypothesis can make a difference in the outcome of the study: “Upper class men and women (juniors and seniors) assert better study habits to received
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