Data

Motor performance in first-degree relatives of people with schizophrenia

University of New England, Australia
Quiddington, Louisa ; Apthorp, Deborah ; Bolbecker, Amanda
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/b4pd-nt87&rft.title=Motor performance in first-degree relatives of people with schizophrenia&rft.identifier=10.25952/b4pd-nt87&rft.publisher=University of New England&rft.description=This dataset was collected as part of Honours student Louisa Quiddington's thesis in 2020. It is comprised of questionnaire screening data from a Qualtrics online survey combined with online behavioural data collected via Inquisit (Millisecond, 2019), as well as code written in R Statistical Software to combine and analyse the data. The questionnaire data concerns whether the participant has a family member with schizophrenia, as well as some basic demographic data and a modified version of the Family Interview for Genetic Studies (FIGS; Gershon et al., 1988; Maxwell, 1992). The behavioural data is from a finger tapping task (FTT) where the participants were required to tap the space bar as quickly as possible for 5 blocks of 10 seconds each. Data for the task includes scores for the dominant and non-dominant hand for: the mean number of taps, the mean and median reaction time between taps, the standard deviation of the reaction time, the coefficient of variation for these statistics, and the box-cox transformations of this. It also includes the values for slope - testing whether participants responded more slowly across blocks or across trials within a block. The variable Group explains whether the person was a first-degree relative or a control, or was unsure. IP address and location were recorded but have been redacted from the data for privacy reasons. The data are in .sav format for SPSS but are also available in .csv format and can be read into R via the code provided, or into the free software jamovi.&rft.creator=Quiddington, Louisa &rft.creator=Apthorp, Deborah &rft.creator=Bolbecker, Amanda &rft.date=2022&rft_rights= http://creativecommons.org/licenses/by-nc-nd/4.0/&rft_rights=&rft_rights=Rights holder: Deborah Apthorp&rft_subject=Psychiatry (incl. psychotherapy)&rft_subject=Clinical sciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft_subject=Cognitive neuroscience&rft_subject=Biological psychology&rft_subject=PSYCHOLOGY&rft_subject=Expanding knowledge in psychology&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Diagnosis of human diseases and conditions&rft_subject=Clinical health&rft_subject=HEALTH&rft.type=dataset&rft.language=English Access the data

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dapthorp@une.edu.au

Full description

This dataset was collected as part of Honours student Louisa Quiddington's thesis in 2020. It is comprised of questionnaire screening data from a Qualtrics online survey combined with online behavioural data collected via Inquisit (Millisecond, 2019), as well as code written in R Statistical Software to combine and analyse the data. The questionnaire data concerns whether the participant has a family member with schizophrenia, as well as some basic demographic data and a modified version of the Family Interview for Genetic Studies (FIGS; Gershon et al., 1988; Maxwell, 1992). The behavioural data is from a finger tapping task (FTT) where the participants were required to tap the space bar as quickly as possible for 5 blocks of 10 seconds each. Data for the task includes scores for the dominant and non-dominant hand for: the mean number of taps, the mean and median reaction time between taps, the standard deviation of the reaction time, the coefficient of variation for these statistics, and the box-cox transformations of this. It also includes the values for slope - testing whether participants responded more slowly across blocks or across trials within a block. The variable "Group" explains whether the person was a first-degree relative or a control, or was unsure. IP address and location were recorded but have been redacted from the data for privacy reasons. The data are in .sav format for SPSS but are also available in .csv format and can be read into R via the code provided, or into the free software jamovi.

Issued: 2022-05-17

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