Question: One proposed quality criterion for evaluating mixed methods findings and interpretations (proposed by Teddlie and Tashakkori) combines notions of internal validity, statistical conclusion validity

One proposed quality criterion for evaluating mixed methods findings and interpretations (proposedby Teddlie and Tashakkori) combines notions of internal validity, statistical conclusion validity(quantitative criteria), and credibility (a qualitative criterion). What is this criterion called?OA. Inference transferability OB. Interpretive rigor OC. Inference quality OD. Meta-inference (f)

One proposed quality criterion for evaluating mixed methods findings and interpretations (proposed by Teddlie and Tashakkori) combines notions of internal validity, statistical conclusion validity (quantitative criteria), and credibility (a qualitative criterion). What is this criterion called? OA. Inference transferability OB. Interpretive rigor OC. Inference quality OD. Meta-inference (f) If mean number of cigarettes smoked per day were identical for all males and females, it wouldn't be too unlikely to see sample means as different as 6.55 and 4:12. This is focusing on which process? O statistical inference data production probability O displaying and summarizing Need Help? Tak to a Tutor x 4. Consider a discrete-time Markov chain with the following probability transition matrix 0 10 0 I 0 y 1-2-y 1-2-yy 0 001 I 0 Is it possible to choose values for x and y so that the Markov chain has the following properties? In each case, state the values of r and y, or give a brief reason why it is not possible. (a) The Markov chain has period 2. (b) The Markov chain is reducible. (c) The Markov chain has at least one transient state. [2] [2] [2] 2225 (d) The Markov chain has invariant distribution (1/4, 1/4, 1/4, 1/4). [5] A stationary distribution of an m-state Markov chain is a probability vector q such that == q P, where P is the probability transition matrix. A Markov chain can have more than one stationary distribution. Identify all the stationary distributions that you can, for the 3-state Markov chain with transition probability matrix 1 0 0 P = 0 0 1 Does this Markov chain have a steady-state probability distribution ? 15 points

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