Research methods and statistics in psychology/ (Record no. 189018)

MARC details
000 -LEADER
fixed length control field 08793nam a2200145Ia 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781444170115
040 ## - CATALOGING SOURCE
Transcribing agency CUS
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 150.727
Item number COO/R
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Coolican, Hugh
245 #0 - TITLE STATEMENT
Title Research methods and statistics in psychology/
Statement of responsibility, etc. Hugh Coolican
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. London:
Name of publisher, distributor, etc. Psychology,
Date of publication, distribution, etc. 2014.
300 ## - PHYSICAL DESCRIPTION
Extent 773 p.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Psychology, science and research<br/>Why psychology and science?: Science - not a subject but a way of thinking; So what is<br/>this scientific method then? Asking why? Generating theories for laws; The counterproductive<br/> method testing testing scientific theories How psychologists actually do scientific research <br/>What are the main features of a psychological investigation? Qualitative data and<br/>qualitative approaches<br/>Measuring people — variables, samples and the qualitative critique<br/>Variables; Psychological constixicts; Operational definitions of psychological constmcts;<br/>Reliability and validity; Samples; Probability- and non-probability-based sampling methods;<br/>Sample size; Introducing the quantitative/qualitative debate; Relative values of quantitative<br/>and qualitative studies<br/>Experiments and experimental designs in psychology<br/>The role of experiments in gathering evidence - demonstrating cause and effect;<br/>Alternative explanations; IVs, DVs and features of the true experiment; Simple<br/>experimental designs; Participant variables and non-equivalent groups; Repeated measures<br/>design, Matched-pairs design; Single participant and small n design<br/>Validity in psychological research<br/>The interpretation of causes in experiments; Sources of variance in the experiment;<br/>Validity in experiments and other research designs; Types of validity (Statistical conclusion<br/>validity. Internal validity, Construct validity); Tackling confounds in psychological research;<br/>Expectancy; Extemal validity; Meta-analysis<br/>Quasi-experiments and non-experiments<br/>The field and the laboratory; True experiments and field experiments; The quasi-<br/>experiment; Non-experimental research; Control and validity in the laboratoi7 and in the<br/>feld (advantages and disadvantages of the laboratory); Studies in the field<br/>Observational methods - watching and being with people<br/>Obseo/ation in general; Obsei^ation as a technique or as an overall design; Structured<br/>obseir/ation; Controlled observation; Naturalistic obsevation; Qualitative non-particip mt<br/>observation; Role-play and simulation; The diary method; Participant obsevation; Ca e<br/>studies; Indirect observation<br/>7 Interview methods - asking people direct questions<br/>Self-report methods: Structured interviews; Effects of interpersonal vanables in inteiviews:<br/>Types of inten/iew; Semi-structured or open inteiviewing gathering qualitative data:<br/>Recording the interview; Surveys<br/>8 Psychological tests and measurement scales<br/>Measurement vs. information gathering - scales, tests, inventories and questionnair-es;<br/>Open and closed questions: Attitude scales: Central issues in the use of psychological<br/>scales: Scale items - what to avoid in statement construction; Pr-ojective tests; Intelligence<br/>and personality tests: Reliability, validity and standar-disation<br/>9 Comparison studies - cross-sectional, longitudinal and cross-cultural studies<br/>What are comparison studies? Cross-sectional studies: Longitudinal studies: Evaluation<br/>of longitudinal and cross-sectional studies: Cross-cultural studies: Ethnocentrism;<br/>The emic-etic distinction<br/>10 Qualitative approaches in psychology<br/>Psychology and the positivist paradigm: The problem with quantification in psychological<br/>research: Qualitative data gathering: Types of qualitative method: Thematic analysis:<br/>Grounded theory: Interpretive Phenomenological Analysis, Discourse analysis: Action<br/>research: Participative and collaborative research: Memories as narratives: Reflexivity:<br/>Contemporary qualitative methods<br/>I I Ethical issues in psychological research<br/>Publication and access to data: The conduct of research with human participants:<br/>Deception: Debriefing: Stress and discomfort: Right to withdraw; Investigator power<br/>Involuntary participation: Intervention: Research with animals - case for and against;<br/>Conclusions<br/>PART 2 Analysing data and writing reports<br/>12 Analysing qualitative data<br/>Quantitative analysis of qualitative data - content analysis: Qualitative analysis of qualitative<br/>data: Doing qualitative research: Considerations for a qualitative project: The data-gathering<br/>process: Data analysis; Procedures in major approaches: Quality in qualitative research -<br/>what of reliability and validity? The emergence of guidelines; Useful websites<br/>13 Statistics - organising the data<br/>Measuring things; Different levels of measurement; Summarising data; Measures of central<br/>tendency (mean, median, mode): Measures of dispersion (range, interquartile and semi-<br/>interquartile range, mean deviation, standard deviation and variance): Population<br/>parameters, sample statistics and sampling error Using SPSS to calculate statistics:<br/>Appendix - statistical notation and symbols<br/>14 Graphical representation of data<br/>Graphs in general; The bar chart: Line charts; The histogram; Exploratory data analysis;<br/>Stem and leaf display; Box-plots; Using SPSS to produce your charts<br/>15 Frequencies and distributions<br/>Dealing with larger data sets; Percentiles, deciles and quartiles; The noimal distribution;<br/>z scores/Standard scores; Standardisation of psychological measurements; Sampling<br/>distributions; Confidence inten/als; Skewed distributions; Kurtosis in distributions<br/>16 Significance testing — was it a real effect?<br/>Significance decisions; The null and alternative hypotheses; Probability; Rejecting the null<br/>hypothesis; The standard level of significance - 5% significance level; Cntical values;<br/>Significance testing -- the basic model; Rejection regions; Frequency distributions and<br/>probability distributions; Type I eiroi's; Type II eirors; The question of power and effect<br/>size; Significance levels; Directional and non-directional hypotheses - one- and two-tailed<br/>tests; Conducting a significance test<br/>17 Testing for differences between two samples<br/>Tests of difference between two conditions or groups (Parametric tests); Data assumptions<br/>for parametric tests; Non-parametric tests of difference; Wilcoxon's T; Mann-Whitney U:<br/>The binomial sign test; SPSS procedures for two condition difference tests; Effect size and<br/>power<br/>18 Tests for categorical variables and frequency tables<br/>Tests on two-way frequency tables; Unrelated data - the chi-square test of association;<br/>The 2x2 chi-square; More complex chi-square data (r x c designs); The 'goodness of fit'<br/>test for a single variable; SPSS procedure for conducting an r x c chi-square test; Multi-way<br/>frequency tables and log-linear analysis; Condurting a three-way frequency analysis<br/>in SPSS<br/>19 Correlation and regression<br/>Simple correlation; Measurement of coirelation; Correlation coefficients - Peai^on's<br/>product-moment, Spearman s rho; Significance and correlation coefficients; SPSS procedures<br/>for correlation, What you can t assume with a correlation; Categorical variables; Common<br/>uses of con elation in psychology; Regression and multiple regression; Multiple predictions;<br/>Partial and semi-partial coi relation. Regression coefficients; Effect size and power<br/>Conducting a regression analysis in SPSS<br/>20 Multi-level analysis - differences between more than two conditions (ANOVA)<br/>More complex tests; One-way ANOVA - unrelated designs; The F ratio statistic; A priori<br/>and post hoc comparisons; Estimating power in one-way ANOVA; Non-parametric<br/>ANOVA equivalent Kruskal -Wallis; Multivanate Analysis of Variance (MANOVA);<br/>ANCOVA - Analysis of Co-variance; SPSS procedures for one-way ANOVA<br/>21 Multi-factorial ANOVA designs<br/>Using two or more independent vanables: Central features of multi-factonal designs: Effect<br/>sizes and power Three-way ANOVA calculation; SPSS procedure for two-way between<br/>groups ANOVA<br/>22 ANOVA for repeated measures designs<br/>Related designs: Between subjects and between conditions variation: Two-way (related)<br/>design: ANOVA mixed design - one repeated measure and one unrelated factor More<br/>complex ANOVA designs: Effect size and power A non-parametnc equivalent the<br/>Fredman test for comelated samples: SPSS procedures for repeated measures ANOVA<br/>23 Choosing a significance test for your data (and internet resources)<br/>Choosing an appropnate test: Tests for two samples: Tests for more than two samples:<br/>To calculate or not to calculate? Internet resources<br/>24 Planning your practical and writing up your report<br/>Planning your practical project overall aim, design, samples, materials, procedure, ethics:<br/>Writing your practical report: Sections of a standard report; Quantitative and qualitative<br/>report features: Comments on a student practical report: A better version of the report
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        Central Library, Sikkim University Central Library, Sikkim University General Book Section 29/08/2016 150.727 COO/R P44054 26/02/2024 08/02/2024 General Books
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