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Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.
- Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract
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Cited by 183 (19 self)
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The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive
g05 – Random Number Generators g05hac 1 Purpose
"... nag_arma_time_series (g05hac) nag_arma_time_series (g05hac) generates an autoregressive moving average (ARMA) time series with Normally distributed errors (or residuals). It initializes the series to a stationary position and sets up a reference vector enabling the function to be called repeatedly, ..."
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nag_arma_time_series (g05hac) nag_arma_time_series (g05hac) generates an autoregressive moving average (ARMA) time series with Normally distributed errors (or residuals). It initializes the series to a stationary position and sets up a reference vector enabling the function to be called repeatedly
g05 – Random Number Generators g05pac 1 Purpose
"... nag_rngs_arma_time_series (g05pac) nag_rngs_arma_time_series (g05pac) generates a realization of a univariate time series from an autoregressive moving average (ARMA) model. The realization may be continued or a new realization generated at subsequent calls to nag_rngs_arma_time_series (g05pac). ..."
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nag_rngs_arma_time_series (g05pac) nag_rngs_arma_time_series (g05pac) generates a realization of a univariate time series from an autoregressive moving average (ARMA) model. The realization may be continued or a new realization generated at subsequent calls to nag_rngs_arma_time_series (g05pac).
g05 – Random Number Generators g05mjc 1 Purpose
"... nag_rngs_binomial (g05mjc) nag_rngs_binomial (g05mjc) generates a vector of pseudorandom integers from the discrete binomial distribution with parameters m and p. ..."
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nag_rngs_binomial (g05mjc) nag_rngs_binomial (g05mjc) generates a vector of pseudorandom integers from the discrete binomial distribution with parameters m and p.
g05 – Random Number Generators g05mcc 1 Purpose
"... nag_rngs_neg_bin (g05mcc) nag_rngs_neg_bin (g05mcc) generates a vector of pseudorandom integers from the discrete negative binomial distribution with parameter m and probability p of success at a trial. ..."
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nag_rngs_neg_bin (g05mcc) nag_rngs_neg_bin (g05mcc) generates a vector of pseudorandom integers from the discrete negative binomial distribution with parameter m and probability p of success at a trial.
g05 – Random Number Generators g05mlc 1 Purpose
"... nag_rngs_hypergeometric (g05mlc) nag_rngs_hypergeometric (g05mlc) generates a vector of pseudorandom integers from the discrete hypergeometric distribution of the number of specified items in a sample of size l, taken from a population of size n with m specified items in it. ..."
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nag_rngs_hypergeometric (g05mlc) nag_rngs_hypergeometric (g05mlc) generates a vector of pseudorandom integers from the discrete hypergeometric distribution of the number of specified items in a sample of size l, taken from a population of size n with m specified items in it.
g05 – Random Number Generators g05rbc 1 Purpose
"... nag_rngs_copula_students_t (g05rbc) nag_rngs_copula_students_t (g05rbc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C. ..."
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nag_rngs_copula_students_t (g05rbc) nag_rngs_copula_students_t (g05rbc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C.
g05 – Random Number Generators g05mzc 1 Purpose
"... nag_rngs_gen_discrete (g05mzc) nag_rngs_gen_discrete (g05mzc) generates a vector of pseudorandom integers from a discrete distribution with a given PDF (probability density function) or CDF (cumulative distribution function) p. ..."
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nag_rngs_gen_discrete (g05mzc) nag_rngs_gen_discrete (g05mzc) generates a vector of pseudorandom integers from a discrete distribution with a given PDF (probability density function) or CDF (cumulative distribution function) p.
g05 – Random Number Generators g05edc 1 Purpose
"... nag_ref_vec_binomial (g05edc) nag_ref_vec_binomial (g05edc) sets up the reference vector r for a binomial distribution of the number of successes in n trials, each with probability of success p. ..."
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nag_ref_vec_binomial (g05edc) nag_ref_vec_binomial (g05edc) sets up the reference vector r for a binomial distribution of the number of successes in n trials, each with probability of success p.
g05 ± Random Number Generators g05eac 1 Purpose
"... nag_ref_vec_multi_normal (g05eac) nag_ref_vec_multi_normal (g05eac) sets up a reference vector for a multivariate Normal distribution with mean vector a and variance-covariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudo-random vectors. ..."
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nag_ref_vec_multi_normal (g05eac) nag_ref_vec_multi_normal (g05eac) sets up a reference vector for a multivariate Normal distribution with mean vector a and variance-covariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudo-random vectors.
Results 1 - 10
of
1,578
