2 // This file is part of Moodle - http://moodle.org/
4 // Moodle is free software: you can redistribute it and/or modify
5 // it under the terms of the GNU General Public License as published by
6 // the Free Software Foundation, either version 3 of the License, or
7 // (at your option) any later version.
9 // Moodle is distributed in the hope that it will be useful,
10 // but WITHOUT ANY WARRANTY; without even the implied warranty of
11 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 // GNU General Public License for more details.
14 // You should have received a copy of the GNU General Public License
15 // along with Moodle. If not, see <http://www.gnu.org/licenses/>.
18 * Question statistics calculator class. Used in the quiz statistics report but also available for use elsewhere.
21 * @subpackage questionbank
22 * @copyright 2013 Open University
23 * @author Jamie Pratt <me@jamiep.org>
24 * @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
27 namespace core_question\statistics\questions;
28 defined('MOODLE_INTERNAL') || die();
31 * This class has methods to compute the question statistics from the raw data.
33 * @copyright 2013 Open University
34 * @author Jamie Pratt <me@jamiep.org>
35 * @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
42 public $questionstats = array();
45 * @var calculated_for_subquestion[]
47 public $subquestionstats = array();
52 protected $sumofmarkvariance = 0;
54 protected $randomselectors = array();
59 * @param object[] questions to analyze, keyed by slot, also analyses sub questions for random questions.
60 * we expect some extra fields - slot, maxmark and number on the full question data objects.
62 public function __construct($questions) {
63 foreach ($questions as $slot => $question) {
64 $this->questionstats[$slot] = new calculated();
65 $this->questionstats[$slot]->questionid = $question->id;
66 $this->questionstats[$slot]->question = $question;
67 $this->questionstats[$slot]->slot = $slot;
68 $this->questionstats[$slot]->positions = $question->number;
69 $this->questionstats[$slot]->maxmark = $question->maxmark;
70 $this->questionstats[$slot]->randomguessscore = $this->get_random_guess_score($question);
75 * @param $qubaids \qubaid_condition
76 * @return array containing two arrays calculated[] and calculated_for_subquestion[].
78 public function calculate($qubaids) {
79 \core_php_time_limit::raise();
81 list($lateststeps, $summarks) = $this->get_latest_steps($qubaids);
85 // Compute the statistics of position, and for random questions, work
86 // out which questions appear in which positions.
87 foreach ($lateststeps as $step) {
88 $this->initial_steps_walker($step, $this->questionstats[$step->slot], $summarks);
90 // If this is a random question what is the real item being used?
91 if ($step->questionid != $this->questionstats[$step->slot]->questionid) {
92 if (!isset($this->subquestionstats[$step->questionid])) {
93 $this->subquestionstats[$step->questionid] = new calculated_for_subquestion();
94 $this->subquestionstats[$step->questionid]->questionid = $step->questionid;
95 $this->subquestionstats[$step->questionid]->maxmark = $step->maxmark;
96 } else if ($this->subquestionstats[$step->questionid]->maxmark != $step->maxmark) {
97 $this->subquestionstats[$step->questionid]->differentweights = true;
100 $this->initial_steps_walker($step, $this->subquestionstats[$step->questionid], $summarks, false);
102 $number = $this->questionstats[$step->slot]->question->number;
103 $this->subquestionstats[$step->questionid]->usedin[$number] = $number;
105 $randomselectorstring = $this->questionstats[$step->slot]->question->category. '/'
106 .$this->questionstats[$step->slot]->question->questiontext;
107 if (!isset($this->randomselectors[$randomselectorstring])) {
108 $this->randomselectors[$randomselectorstring] = array();
110 $this->randomselectors[$randomselectorstring][$step->questionid] = $step->questionid;
114 foreach ($this->randomselectors as $key => $notused) {
115 ksort($this->randomselectors[$key]);
118 // Compute the statistics of question id, if we need any.
119 $subquestions = question_load_questions(array_keys($this->subquestionstats));
120 foreach ($subquestions as $qid => $subquestion) {
121 $this->subquestionstats[$qid]->question = $subquestion;
122 $this->subquestionstats[$qid]->question->maxmark = $this->subquestionstats[$qid]->maxmark;
123 $this->subquestionstats[$qid]->randomguessscore = $this->get_random_guess_score($subquestion);
125 $this->initial_question_walker($this->subquestionstats[$qid]);
127 if ($this->subquestionstats[$qid]->differentweights) {
128 // TODO output here really sucks, but throwing is too severe.
130 $name = $this->subquestionstats[$qid]->question->name;
131 echo $OUTPUT->notification( get_string('erroritemappearsmorethanoncewithdifferentweight',
132 'quiz_statistics', $name));
135 if ($this->subquestionstats[$qid]->usedin) {
136 sort($this->subquestionstats[$qid]->usedin, SORT_NUMERIC);
137 $this->subquestionstats[$qid]->positions = implode(',', $this->subquestionstats[$qid]->usedin);
139 $this->subquestionstats[$qid]->positions = '';
143 // Finish computing the averages, and put the subquestion data into the
144 // corresponding questions.
146 // This cannot be a foreach loop because we need to have both
147 // $question and $nextquestion available, but apart from that it is
148 // foreach ($this->questions as $qid => $question).
149 reset($this->questionstats);
150 while (list($slot, $questionstat) = each($this->questionstats)) {
151 $nextquestionstats = current($this->questionstats);
153 $this->initial_question_walker($questionstat);
155 if ($questionstat->question->qtype == 'random') {
156 $randomselectorstring = $questionstat->question->category .'/'. $questionstat->question->questiontext;
157 if ($nextquestionstats && $nextquestionstats->question->qtype == 'random') {
158 $nextrandomselectorstring =
159 $nextquestionstats->question->category .'/'. $nextquestionstats->question->questiontext;
160 if ($randomselectorstring == $nextrandomselectorstring) {
161 continue; // Next loop iteration.
164 if (isset($this->randomselectors[$randomselectorstring])) {
165 $questionstat->subquestions = implode(',', $this->randomselectors[$randomselectorstring]);
170 // Go through the records one more time.
171 foreach ($lateststeps as $step) {
172 $this->secondary_steps_walker($step, $this->questionstats[$step->slot], $summarks);
174 if ($this->questionstats[$step->slot]->subquestions) {
175 $this->secondary_steps_walker($step, $this->subquestionstats[$step->questionid], $summarks);
179 $sumofcovariancewithoverallmark = 0;
180 foreach ($this->questionstats as $questionstat) {
181 $this->secondary_question_walker($questionstat);
183 $this->sumofmarkvariance += $questionstat->markvariance;
185 if ($questionstat->covariancewithoverallmark >= 0) {
186 $sumofcovariancewithoverallmark += sqrt($questionstat->covariancewithoverallmark);
190 foreach ($this->subquestionstats as $subquestionstat) {
191 $this->secondary_question_walker($subquestionstat);
194 foreach ($this->questionstats as $questionstat) {
195 if ($sumofcovariancewithoverallmark) {
196 if ($questionstat->negcovar) {
197 $questionstat->effectiveweight = null;
199 $questionstat->effectiveweight = 100 * sqrt($questionstat->covariancewithoverallmark) /
200 $sumofcovariancewithoverallmark;
203 $questionstat->effectiveweight = null;
206 $this->cache_stats($qubaids);
208 return array($this->questionstats, $this->subquestionstats);
212 * Load cached statistics from the database.
214 * @param $qubaids \qubaid_condition
215 * @return array containing two arrays calculated[] and calculated_for_subquestion[].
217 public function get_cached($qubaids) {
219 $timemodified = time() - self::TIME_TO_CACHE;
220 $questionstatrecs = $DB->get_records_select('question_statistics', 'hashcode = ? AND timemodified > ?',
221 array($qubaids->get_hash_code(), $timemodified));
223 $questionids = array();
224 foreach ($questionstatrecs as $fromdb) {
225 if (!$fromdb->slot) {
226 $questionids[] = $fromdb->questionid;
229 $subquestions = question_load_questions($questionids);
230 foreach ($questionstatrecs as $fromdb) {
232 $this->questionstats[$fromdb->slot]->populate_from_record($fromdb);
233 // Array created in constructor and populated from question.
235 $this->subquestionstats[$fromdb->questionid] = new calculated_for_subquestion();
236 $this->subquestionstats[$fromdb->questionid]->populate_from_record($fromdb);
237 $this->subquestionstats[$fromdb->questionid]->question = $subquestions[$fromdb->questionid];
240 return array($this->questionstats, $this->subquestionstats);
244 * Find time of non-expired statistics in the database.
246 * @param $qubaids \qubaid_condition
247 * @return integer|boolean Time of cached record that matches this qubaid_condition or false is non found.
249 public function get_last_calculated_time($qubaids) {
252 $timemodified = time() - self::TIME_TO_CACHE;
253 return $DB->get_field_select('question_statistics', 'timemodified', 'hashcode = ? AND timemodified > ?',
254 array($qubaids->get_hash_code(), $timemodified), IGNORE_MULTIPLE);
257 /** @var integer Time after which statistics are automatically recomputed. */
258 const TIME_TO_CACHE = 900; // 15 minutes.
261 * Used when computing Coefficient of Internal Consistency by quiz statistics.
265 public function get_sum_of_mark_variance() {
266 return $this->sumofmarkvariance;
270 * @param $qubaids \qubaid_condition
271 * @return array with two items
272 * - $lateststeps array of latest step data for the question usages
273 * - $summarks array of total marks for each usage, indexed by usage id
275 protected function get_latest_steps($qubaids) {
276 $dm = new \question_engine_data_mapper();
283 qas.fraction * qa.maxmark as mark";
285 $lateststeps = $dm->load_questions_usages_latest_steps($qubaids, array_keys($this->questionstats), $fields);
288 foreach ($lateststeps as $step) {
289 if (!isset($summarks[$step->questionusageid])) {
290 $summarks[$step->questionusageid] = 0;
292 $summarks[$step->questionusageid] += $step->mark;
296 return array($lateststeps, $summarks);
300 * Update $stats->totalmarks, $stats->markarray, $stats->totalothermarks
301 * and $stats->othermarksarray to include another state.
303 * @param object $step the state to add to the statistics.
304 * @param calculated $stats the question statistics we are accumulating.
305 * @param array $summarks of the sum of marks for each question usage, indexed by question usage id
306 * @param bool $positionstat whether this is a statistic of position of question.
308 protected function initial_steps_walker($step, $stats, $summarks, $positionstat = true) {
310 $stats->totalmarks += $step->mark;
311 $stats->markarray[] = $step->mark;
314 $stats->totalothermarks += $summarks[$step->questionusageid] - $step->mark;
315 $stats->othermarksarray[] = $summarks[$step->questionusageid] - $step->mark;
318 $stats->totalothermarks += $summarks[$step->questionusageid];
319 $stats->othermarksarray[] = $summarks[$step->questionusageid];
324 * Perform some computations on the per-question statistics calculations after
325 * we have been through all the states.
327 * @param calculated $stats question stats to update.
329 protected function initial_question_walker($stats) {
330 $stats->markaverage = $stats->totalmarks / $stats->s;
332 if ($stats->maxmark != 0) {
333 $stats->facility = $stats->markaverage / $stats->maxmark;
335 $stats->facility = null;
338 $stats->othermarkaverage = $stats->totalothermarks / $stats->s;
340 $stats->summarksaverage = $stats->totalsummarks / $stats->s;
342 sort($stats->markarray, SORT_NUMERIC);
343 sort($stats->othermarksarray, SORT_NUMERIC);
347 * Now we know the averages, accumulate the date needed to compute the higher
348 * moments of the question scores.
350 * @param object $step the state to add to the statistics.
351 * @param calculated $stats the question statistics we are accumulating.
352 * @param array $summarks of the sum of marks for each question usage, indexed by question usage id
354 protected function secondary_steps_walker($step, $stats, $summarks) {
355 $markdifference = $step->mark - $stats->markaverage;
356 if ($stats->subquestion) {
357 $othermarkdifference = $summarks[$step->questionusageid] - $stats->othermarkaverage;
359 $othermarkdifference = $summarks[$step->questionusageid] - $step->mark - $stats->othermarkaverage;
361 $overallmarkdifference = $summarks[$step->questionusageid] - $stats->summarksaverage;
363 $sortedmarkdifference = array_shift($stats->markarray) - $stats->markaverage;
364 $sortedothermarkdifference = array_shift($stats->othermarksarray) - $stats->othermarkaverage;
366 $stats->markvariancesum += pow($markdifference, 2);
367 $stats->othermarkvariancesum += pow($othermarkdifference, 2);
368 $stats->covariancesum += $markdifference * $othermarkdifference;
369 $stats->covariancemaxsum += $sortedmarkdifference * $sortedothermarkdifference;
370 $stats->covariancewithoverallmarksum += $markdifference * $overallmarkdifference;
374 * Perform more per-question statistics calculations.
376 * @param calculated $stats question stats to update.
378 protected function secondary_question_walker($stats) {
381 $stats->markvariance = $stats->markvariancesum / ($stats->s - 1);
382 $stats->othermarkvariance = $stats->othermarkvariancesum / ($stats->s - 1);
383 $stats->covariance = $stats->covariancesum / ($stats->s - 1);
384 $stats->covariancemax = $stats->covariancemaxsum / ($stats->s - 1);
385 $stats->covariancewithoverallmark = $stats->covariancewithoverallmarksum /
387 $stats->sd = sqrt($stats->markvariancesum / ($stats->s - 1));
389 if ($stats->covariancewithoverallmark >= 0) {
390 $stats->negcovar = 0;
392 $stats->negcovar = 1;
395 $stats->markvariance = null;
396 $stats->othermarkvariance = null;
397 $stats->covariance = null;
398 $stats->covariancemax = null;
399 $stats->covariancewithoverallmark = null;
401 $stats->negcovar = 0;
404 if ($stats->markvariance * $stats->othermarkvariance) {
405 $stats->discriminationindex = 100 * $stats->covariance /
406 sqrt($stats->markvariance * $stats->othermarkvariance);
408 $stats->discriminationindex = null;
411 if ($stats->covariancemax) {
412 $stats->discriminativeefficiency = 100 * $stats->covariance /
413 $stats->covariancemax;
415 $stats->discriminativeefficiency = null;
420 * @param object $questiondata
421 * @return number the random guess score for this question.
423 protected function get_random_guess_score($questiondata) {
424 return \question_bank::get_qtype(
425 $questiondata->qtype, false)->get_random_guess_score($questiondata);
429 * @param $qubaids \qubaid_condition
431 protected function cache_stats($qubaids) {
432 foreach ($this->questionstats as $questionstat) {
433 $questionstat->cache($qubaids);
436 foreach ($this->subquestionstats as $subquestionstat) {
437 $subquestionstat->cache($qubaids);