Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W1988367007', 'doi': 'https://doi.org/10.1177/014662169301700307', 'title': 'A Hyperbolic Cosine Latent Trait Model For Unfolding Dichotomous Single-Stimulus Responses', 'display_name': 'A Hyperbolic Cosine Latent Trait Model For Unfolding Dichotomous Single-Stimulus Responses', 'publication_year': 1993, 'publication_date': '1993-09-01', 'ids': {'openalex': 'https://openalex.org/W1988367007', 'doi': 'https://doi.org/10.1177/014662169301700307', 'mag': '1988367007'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1177/014662169301700307', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S94663699', 'display_name': 'Applied Psychological Measurement', 'issn_l': '0146-6216', 'issn': ['0146-6216', '1552-3497'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320017', 'host_organization_name': 'SAGE Publishing', 'host_organization_lineage': ['https://openalex.org/P4310320017'], 'host_organization_lineage_names': ['SAGE Publishing'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://conservancy.umn.edu/bitstreams/a65a3d55-9b42-4b4f-8b66-d907d766bfc2/download', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5090978357', 'display_name': 'David Andrich', 'orcid': 'https://orcid.org/0000-0003-2085-6167'}, 'institutions': [{'id': 'https://openalex.org/I176790772', 'display_name': 'Murdoch University', 'ror': 'https://ror.org/00r4sry34', 'country_code': 'AU', 'type': 'education', 'lineage': ['https://openalex.org/I176790772']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'David Andrich', 'raw_affiliation_strings': ['MURDOCH UNIVERSITY, AUSTRALIA', 'Murdoch University, Australia'], 'affiliations': [{'raw_affiliation_string': 'MURDOCH UNIVERSITY, AUSTRALIA', 'institution_ids': ['https://openalex.org/I176790772']}, {'raw_affiliation_string': 'Murdoch University, Australia', 'institution_ids': ['https://openalex.org/I176790772']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5055771996', 'display_name': 'Guanzhong Luo', 'orcid': 'https://orcid.org/0000-0002-6934-902X'}, 'institutions': [{'id': 'https://openalex.org/I187400657', 'display_name': 'South China Normal University', 'ror': 'https://ror.org/01kq0pv72', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I187400657']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'None Guanzhong Luo', 'raw_affiliation_strings': ['South China Normal University, Guangzhou#TAB#'], 'affiliations': [{'raw_affiliation_string': 'South China Normal University, Guangzhou#TAB#', 'institution_ids': ['https://openalex.org/I187400657']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.907, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 125, 'citation_normalized_percentile': {'value': 0.990731, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 97, 'max': 98}, 'biblio': {'volume': '17', 'issue': '3', 'first_page': '253', 'last_page': '276'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T13748', 'display_name': 'Advanced Statistical Modeling Techniques', 'score': 0.9815, 'subfield': {'id': 'https://openalex.org/subfields/1705', 'display_name': 'Computer Networks and Communications'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T13748', 'display_name': 'Advanced Statistical Modeling Techniques', 'score': 0.9815, 'subfield': {'id': 'https://openalex.org/subfields/1705', 'display_name': 'Computer Networks and Communications'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11798', 'display_name': 'Optimal Experimental Design Methods', 'score': 0.9778, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.9773, 'subfield': {'id': 'https://openalex.org/subfields/2613', 'display_name': 'Statistics and Probability'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/statement', 'display_name': 'Statement (logic)', 'score': 0.48842043}, {'id': 'https://openalex.org/keywords/stimulus', 'display_name': 'Stimulus (psychology)', 'score': 0.4149167}], 'concepts': [{'id': 'https://openalex.org/C101266164', 'wikidata': 'https://www.wikidata.org/wiki/Q2131821', 'display_name': 'Rasch model', 'level': 2, 'score': 0.74848557}, {'id': 'https://openalex.org/C19875794', 'wikidata': 'https://www.wikidata.org/wiki/Q1207340', 'display_name': 'Item response theory', 'level': 3, 'score': 0.6304663}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.61094207}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.59092903}, {'id': 'https://openalex.org/C72169020', 'wikidata': 'https://www.wikidata.org/wiki/Q194404', 'display_name': 'Monotonic function', 'level': 2, 'score': 0.49175194}, {'id': 'https://openalex.org/C2777026412', 'wikidata': 'https://www.wikidata.org/wiki/Q2684591', 'display_name': 'Statement (logic)', 'level': 2, 'score': 0.48842043}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.429106}, {'id': 'https://openalex.org/C178009071', 'wikidata': 'https://www.wikidata.org/wiki/Q93344', 'display_name': 'Trigonometric functions', 'level': 2, 'score': 0.4153698}, {'id': 'https://openalex.org/C2779918689', 'wikidata': 'https://www.wikidata.org/wiki/Q3771842', 'display_name': 'Stimulus (psychology)', 'level': 2, 'score': 0.4149167}, {'id': 'https://openalex.org/C15744967', 'wikidata': 'https://www.wikidata.org/wiki/Q9418', 'display_name': 'Psychology', 'level': 0, 'score': 0.3455106}, {'id': 'https://openalex.org/C171606756', 'wikidata': 'https://www.wikidata.org/wiki/Q506132', 'display_name': 'Psychometrics', 'level': 2, 'score': 0.20876163}, {'id': 'https://openalex.org/C180747234', 'wikidata': 'https://www.wikidata.org/wiki/Q23373', 'display_name': 'Cognitive psychology', 'level': 1, 'score': 0.20575589}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.15642628}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.08559275}, {'id': 'https://openalex.org/C17744445', 'wikidata': 'https://www.wikidata.org/wiki/Q36442', 'display_name': 'Political science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C199539241', 'wikidata': 'https://www.wikidata.org/wiki/Q7748', 'display_name': 'Law', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1177/014662169301700307', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S94663699', 'display_name': 'Applied Psychological Measurement', 'issn_l': '0146-6216', 'issn': ['0146-6216', '1552-3497'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320017', 'host_organization_name': 'SAGE Publishing', 'host_organization_lineage': ['https://openalex.org/P4310320017'], 'host_organization_lineage_names': ['SAGE Publishing'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'http://purl.umn.edu/116369', 'pdf_url': 'https://conservancy.umn.edu/bitstreams/a65a3d55-9b42-4b4f-8b66-d907d766bfc2/download', 'source': {'id': 'https://openalex.org/S4306402521', 'display_name': 'University of Minnesota Digital Conservancy (University of Minnesota)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I130238516', 'host_organization_name': 'University of Minnesota', 'host_organization_lineage': ['https://openalex.org/I130238516'], 'host_organization_lineage_names': ['University of Minnesota'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'http://purl.umn.edu/116369', 'pdf_url': 'https://conservancy.umn.edu/bitstreams/a65a3d55-9b42-4b4f-8b66-d907d766bfc2/download', 'source': {'id': 'https://openalex.org/S4306402521', 'display_name': 'University of Minnesota Digital Conservancy (University of Minnesota)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I130238516', 'host_organization_name': 'University of Minnesota', 'host_organization_lineage': ['https://openalex.org/I130238516'], 'host_organization_lineage_names': ['University of Minnesota'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/10', 'display_name': 'Reduced inequalities', 'score': 0.71}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 47, 'referenced_works': ['https://openalex.org/W1488048598', 'https://openalex.org/W1495510742', 'https://openalex.org/W160540087', 'https://openalex.org/W1689143410', 'https://openalex.org/W1715554096', 'https://openalex.org/W1963531072', 'https://openalex.org/W1966187926', 'https://openalex.org/W1970133260', 'https://openalex.org/W1982564453', 'https://openalex.org/W1994372089', 'https://openalex.org/W2002606723', 'https://openalex.org/W2013784666', 'https://openalex.org/W2017730102', 'https://openalex.org/W2022558642', 'https://openalex.org/W2026613658', 'https://openalex.org/W2028593249', 'https://openalex.org/W2033304942', 'https://openalex.org/W2033442452', 'https://openalex.org/W2036072362', 'https://openalex.org/W2039135203', 'https://openalex.org/W2039659681', 'https://openalex.org/W2040532814', 'https://openalex.org/W2043315106', 'https://openalex.org/W2043661251', 'https://openalex.org/W2045254462', 'https://openalex.org/W2051039162', 'https://openalex.org/W2055731561', 'https://openalex.org/W2069962279', 'https://openalex.org/W2071519987', 'https://openalex.org/W2076818512', 'https://openalex.org/W2077438962', 'https://openalex.org/W2098964191', 'https://openalex.org/W2104351701', 'https://openalex.org/W2127374659', 'https://openalex.org/W2149058003', 'https://openalex.org/W2319178748', 'https://openalex.org/W2323861627', 'https://openalex.org/W2326214720', 'https://openalex.org/W2331561924', 'https://openalex.org/W2763110165', 'https://openalex.org/W2945608433', 'https://openalex.org/W3124943576', 'https://openalex.org/W3188627252', 'https://openalex.org/W3215020069', 'https://openalex.org/W4232605748', 'https://openalex.org/W4242688190', 'https://openalex.org/W44404374'], 'related_works': ['https://openalex.org/W4401641891', 'https://openalex.org/W4392121506', 'https://openalex.org/W4323664158', 'https://openalex.org/W3120506548', 'https://openalex.org/W3043329001', 'https://openalex.org/W2772451552', 'https://openalex.org/W2156466608', 'https://openalex.org/W2065401305', 'https://openalex.org/W2015394601', 'https://openalex.org/W1582205914'], 'abstract_inverted_index': {'Social-psychological': [0], 'variables': [1], 'are': [2], 'typically': [3], 'measured': [4], 'using': [5], 'either': [6], 'cumulative': [7, 119, 160], 'or': [8], 'unfolding': [9, 154], 'response': [10, 124, 127, 165], 'processes.': [11], 'In': [12, 97], 'the': [13, 15, 17, 24, 30, 32, 34, 42, 44, 46, 49, 52, 55, 60, 62, 85, 88, 92, 95, 115, 126, 130, 133, 159, 201], 'former,': [14], 'greater': [16, 33, 61], 'location': [18, 25, 47, 53, 86, 93, 168], 'of': [19, 26, 37, 48, 54, 58, 64, 84, 87, 94, 107, 117, 171, 189], 'a': [20, 27, 38, 65, 82, 118, 143, 190, 195], 'person': [21, 50, 89], 'relative': [22, 90], 'to': [23, 51, 91, 104, 149], 'stimulus': [28], 'on': [29, 114], 'continuum,': [31], 'proba': [35], 'bility': [36], 'positive': [39, 66], 'response;': [40], 'in': [41, 137], 'latter,': [43], 'closer': [45], 'statement,': [56], 'irrespective': [57], 'direction,': [59], 'probability': [63, 69], 'response.': [67], 'Formal': [68], 'models': [70, 100], 'for': [71, 132, 147, 163, 175], 'these': [72, 99], 'processes': [73], 'are,': [74], 'respec': [75], 'tively,': [76], 'monotonically': [77], 'increasing': [78], 'and': [79, 169, 194], 'single-peaked': [80], 'as': [81], 'function': [83, 128], 'statement.': [96, 177], 'general,': [98], 'have': [101, 121, 152], 'been': [102], 'considered': [103], 'be': [105], 'independent': [106], 'each': [108, 176], 'other.': [109], 'However,': [110], 'if': [111], 'statements': [112, 150], 'constructed': [113, 157], 'basis': [116], 'model': [120, 146, 162, 202], 'three': [122], 'ordered': [123, 164], 'categories,': [125], 'within': [129], 'statement': [131], 'middle': [134], 'category': [135], 'is': [136, 203], 'fact': [138], 'single-peaked.': [139], 'Using': [140], 'this': [141], 'observation,': [142], 'unidimen': [144], 'sional': [145], 'responses': [148], 'that': [151, 200], 'an': [153], 'structure': [155], 'was': [156, 185], 'from': [158], 'Rasch': [161], 'categories.': [166], 'A': [167, 178], 'unit': [170], 'measurement': [172], 'parameter': [173], 'exist': [174], 'joint': [179], 'maxi': [180], 'mum': [181], 'likelihood': [182], 'estimation': [183], 'procedure': [184], 'inves': [186], 'tigated.': [187], 'Analysis': [188], 'small': [191, 196], 'simulation': [192], 'study': [193], 'real': [197], 'dataset': [198], 'showed': [199], 'readily': [204], 'applicable.': [205]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1988367007', 'counts_by_year': [{'year': 2024, 'cited_by_count': 4}, {'year': 2023, 'cited_by_count': 6}, {'year': 2022, 'cited_by_count': 8}, {'year': 2021, 'cited_by_count': 7}, {'year': 2020, 'cited_by_count': 4}, {'year': 2019, 'cited_by_count': 2}, {'year': 2018, 'cited_by_count': 6}, {'year': 2017, 'cited_by_count': 3}, {'year': 2016, 'cited_by_count': 2}, {'year': 2015, 'cited_by_count': 3}, {'year': 2014, 'cited_by_count': 3}, {'year': 2013, 'cited_by_count': 7}, {'year': 2012, 'cited_by_count': 3}], 'updated_date': '2024-12-29T20:43:13.265578', 'created_date': '2016-06-24'}