Theory Testing and Theory Evaluation
Theory Testing and Theory Evaluation
This unit discusses the steps in the process of theory development.
So, how did we get here anyway?
Theories and models sound very nice, but who came up with them, why did they come up with them, and how did they prove them?
Did someone actually sit down one day and say, “Today, I am going to create a theory”? Theory Testing and Theory Evaluation
This is not the way most theories are created. The process moves from creating a conceptual model to writing the theory and then empirical testing so what do these terms mean?
C- Conceptual model is a way of describing the anecdotal evidence that you are experiencing in your practice. For example you notice every time, “x” occurs “y” results. You ask yourself why this is happening. You try to explain the concepts that are occurring. As you discussed in the Unit 7 Assignment, the model precedes a theory.
T- Theory is a way of explaining what you found in the conceptual model. It predicts what will happen when certain conditions occur. Theory Testing and Theory Evaluation
E- Empirical indicators are another way of saying data. Whether the data is quantitative or qualitative in nature the evidence that is gathered by the researcher is used to show that the theory adequately describes that which is being examined. While anecdotal evidence which you observe in everyday life, began the process by helping us create a conceptual model. Empirical evidence helps us show that the theory created from the model has the ability to describe something.
After completing this unit, you should be able to:
· Arrange the steps in the process of theory development.
· Compare and contrast theory development to the nursing process Theory Testing and Theory Evaluation
The purpose of theory testing is to verify the validity of a presented hypothesis about the theoretical structure of theory in empirical reality [3, 10]. A theory should be corrected or completely rejected if it does not receive support from the empirical data. A theory can be considered valid when the presented hypotheses gain empirical support. A theory should be tested on a continuous basis, and preferably with different target groups. A theory has a higher degree of validity as the hypotheses amass more empirical support [12, 13].
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The research setting used to test a theory depends on the type of theory that is being tested. Descriptive theories are tested using a descriptive study design; explanatory theories are tested using a correlative study design; predictive theories are testing using an experimental study design; and guiding theories are tested using repeated measurements and interventions [7, 12]. Descriptive and correlative study designs define the relationships between the concepts described in theory, but they cannot be used to identify the causal relationships between concepts. For example, correlation coefficient between two variables does not describe the structure of the theoretical model, and thus, cannot be used for further theory development [12]. Theory Testing and Theory Evaluation
Explorative study designs examine the relationships between the concepts identified for a certain phenomenon, for example, by suggesting causal relationships. The experimental study design allows accurate descriptions (direct or indirect causal relationships) of the relationships between concepts [7] and shows how a change in one factor affects the factors included in the tested theory. It is important to determine which analytical methods will provide the best evidence of the verifying of a theory. A researcher can start the testing process with a descriptive study design and, once evidence for validity has been acquired, extend the testing to an experimental study design [3, 7, 9, 12].
Data will be collected through either direct or indirect observations, such as surveys, interviews, observations and objective measurements. The target population should be representative of the group or context to which the theory is applicable. The sample size can be calculated by power analysis according what has been presented in previous studies that were conducted in the same or sufficiently similar context [12, 14–16]. Researchers will often develop an instrument that measures the concept(s) presented in the theory before the statistical testing of theory. The instrument will have to be pretested and psychometrically tested before the hypotheses are empirically examined [16]. Chapter 8 provides more detailed information about instrument development Theory Testing and Theory Evaluation
Statistical methods are commonly used to test explanatory, predictive and guiding theories to draw conclusions about the hypotheses being studied [12]. In particular, factor analysis and structural equation modeling (SEM) have used for testing theories [13, 14, 16]. SEM combines both factor and regression analyses. It allows the study of causal relationships between factors by using regression analysis [17, 18].
Explorative factor analysis (EFA) and confirmatory factor analysis (CFA) belong to the ‘family of factor analyses’. EFA is used to determine exploratory factor model without an a priori assumption of associations between variables. No hypothesis of the factor structure of the data is needed to use it. Based on EFA researchers know how many factors the variables are intended to form which variables are loaded on which factors and whether the factors are interrelated. After EFA, CFA can be conducted to test nursing theory that has already been established. Researchers have to have an a priori hypothesis based on theoretical knowledge or empirical indications Theory Testing and Theory Evaluation
